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REVIEW article

Front. Endocrinol., 07 January 2025
Sec. Translational and Clinical Endocrinology
This article is part of the Research Topic Exosome-Based Advances in Endocrine and Metabolic Diseases: From Diagnosis to Therapy View all 7 articles

Identification and analysis of pancreatic intraepithelial neoplasia: opportunities and challenges

Ling-ling Pian,&#x;Ling-ling Pian1,2†Mei-hui Song&#x;Mei-hui Song2†Teng-fei Wang,&#x;Teng-fei Wang2,3†Ling Qi*Ling Qi2*Tie-li Peng*Tie-li Peng2*Ke-ping Xie*Ke-ping Xie1*
  • 1School of Medicine, The South China University of Technology, Guangzhou, Guangdong, China
  • 2Division of Gastroenterology, Institute of Digestive Disease, Affiliated Qingyuan Hospital, The Sixth Clinical Medical School, Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, Guangdong, China
  • 3Shandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai, Shandong, China

Pancreatic intraepithelial neoplasia (PanIN) is the most common precursor lesion of pancreatic ductal adenocarcinoma (PDAC), which has poor prognosis with a short median overall survival of 6-12 months and a low 5-year survival rate of approximately 3%. It is crucial to remove PanIN lesions to prevent the development of invasive PDAC, as PDAC spreads rapidly outside the pancreas. This review aims to provide the latest knowledge on PanIN risk, pathology, cellular origin, genetic susceptibility, and diagnosis, while identifying research gaps that require further investigation in this understudied area of precancerous lesions. PanINs are classified into PanIN 1, PanIN 2, and PanIN 3, with PanIN 3 having the highest likelihood of developing into invasive PDAC. Differentiating between PanIN 2 and PanIN 3 is clinically significant. Genetic alterations found in PDAC are also present in PanIN and increase with the grade of PanIN. Imaging methods alone are insufficient for distinguishing PanIN, necessitating the use of genetic and molecular tests for identification. In addition, metabolomics technologies and miRNAs are playing an increasingly important role in the field of cancer diagnosis, offering more possibilities for efficient identification of PanIN. Although detecting and stratifying the risk of PanIN poses challenges, the combined utilization of imaging, genetics, and metabolomics holds promise for improving patient survival in this field.

1 Introduction

Pancreatic ductal adenocarcinoma (PDAC) is predicted to become the second leading cause of death in North America and Europe within the next ten years. This is mainly due to the lack of early diagnosis, effective treatment options, and the increased burden of cancer (14). Unfortunately, 85% of patients with PDAC are diagnosed as advanced tumors with concomitant metastases due to a lack of symptoms and early biomarkers. Although the median survival of patients with advanced PDAC has increased from 6 months to 12 months, the 5-year survival rate remains less than 3% (57). To reduce the mortality rate of patients with PDAC, early diagnostic biomarkers need to be discovered and early diagnosis realized.

The current significant consensus is that PDAC develops from precursor lesions known as pancreatic intraepithelial neoplasias (PanINs). In 2016, Voltaggio et al. analyzed intraepithelial neoplasia in multiple anatomical sites from risk factors and pathobiology; she described three primary intraepithelial neoplasia, all of which are non-invasive (8). Intraductal papillary mucinous neoplasms (IPMNs) and mucinous cystic neoplasms (MCNs) are macroscopic lesions, while PanINs are microscopic lesions characterized as flat or papillary, non-invasive epithelial tumors. The amount of mucus varies, and the degree of cytological and structural atypia varies as well. PanINs are classified into low-grade, moderate-grade, and high-grade lesions based on the degree of structural and cytological dysplasia (9). High-grade dysplasia is most likely to develop into invasive carcinoma (10). Additionally, the genes mutated in PanIN lesions are identical to those altered in PDAC, which helps to establish that PanIN can indeed develop into invasive cancer. Therefore, studying the progression of PanIN is crucial to early diagnose and treat of PDAC.

Telomere shortening and activating point mutations in the KRAS gene are among the earliest genetic alterations observed in PanIN. KRAS alterations hold promise as a biomarker for precursor lesions, but cannot provide information on the grade of the lesion (11, 12). Inactivating mutations in the p16/CDKN2A gene begin to appear in PanINs with low to moderate dysplasia, while inactivating mutations in the oncogenes SMAD4 and TP53 occur only in PanINs with high-grade dysplasia, indicating that they are “late” events (9, 13). Moreover, miR-21 and miR-155 have been found to be overexpressed in PanINs compared to normal pancreatic ductal cells (14). The identification and treatment of PanINs may be effective in preventing the progression of fatal PDAC (15).

2 Pathology of PanIN

PanIN is a common lesion found in the pancreas. In the past, due to the lack of strict diagnostic criteria, leading to various descriptions such as ductal hyperplasia, metaplasia, proliferation, dysplasia, neoplasia, and carcinoma in situ lesions, which have increased the difficulty of correct understanding of PanIN (1618). However, current knowledge about PanIN is much clearer and more precise.

PanIN originates in the pancreas’s small ducts and is a microscopic neoplastic lesion in the smaller pancreatic ducts, usually less than 5 mm in diameter, and typically associated with centrilobular atrophy of the pancreatic lobules. Currently, morphological grading of PanINs is performed based on the degree of cytoarchitecture and nuclear heterogeneity and is classified into three types, PanIN 1, PanIN 2, and PanIN 3. PanIN 1 lesions are typically flat or papillary, with columnar epithelium and basally oriented round nuclei, and are rich in mucin. PanIN 2 is papillary with dysplastic nuclei, such as loss of polarity, nuclear crowding, cell enlargement, and hyperpigmentation. PanIN 3 is papillary, micropapillary, or cribriform, and possesses many features of invasive carcinomas, such as severe nuclear atypia, a general loss of nuclear polarity, significant epithelial outgrowth into the lumen, significantly reduced or absent mucin, and the presence of dystrophic cupped cells (19). Although PanIN 3 has been considered a ductal carcinoma in situ, it is still a non-invasive lesion bounded by the basement membrane.

While some researchers have suggested that PanIN is only a reactive chemosis lesion, the presence of cancer-associated gene mutations in most PanIN lesions indicates that PanIN is a neoplastic lesion. Similar to PDAC, the prevalence of PanINs also increases with age (20). In a study by Andea et al., the frequency and clinical characteristics of PanIN in PDAC and benign pancreas were compared. The results showed that the frequency of PanIN lesions was 82% in patients with PDAC, which was significantly higher than the 54% found in benign pancreata. Additionally, there was a progressive increase in the frequency of overall PanIN lesions (16%, 60%, and 82%, respectively) and PanIN 3 (0%, 4%, and 40%, respectively) from normal pancreas to pancreatitis and PDAC (21). These findings indirectly support the hypothesis that PanIN lesions have a precancerous role. PanIN 1 is more commonly found in benign pancreas, PanIN 2 is more frequently observed in pancreatic tumor tissue, and PanIN 3 is almost exclusively detected in PDAC (21).

A recent study of PanIN lesions in 173 significant autopsy cases without PDAC or IPMN revealed that the number of PanIN 3 lesions was positively correlated with PanIN 1 or PanIN 2. PanIN 3 is a multifocal lesion that primarily involves interlobular and intralobular ducts, along with higher-grade extralobular fibrosis. PanIN 3 is more likely to occur in diabetic and elderly patients (22). Additionally, 71% of the PanIN 3-containing pancreases showed cystic changes and lower-grade PanIN lesions. Furthermore, in mouse models of PDAC, full-spectrum PanIN has been observed before tumorigenesis (23). The above evidence supports that PanIN is a precancerous lesion of PDAC. This perspective is further supported by tumor recurrence at the surgical margin containing unresectable PanIN 3 lesions (24). Christine et al. performed single-cell sequencing on tumor cells collected through laser cutting microscopy and confirmed the evolutionary relationship between PanIN and PDAC, with a subset of PDAC originating from adjacent PanIN, which provides persuasive evidence that PDAC originates from PanIN (25, 26). Notably, PanIN 1 shows a low rate of progression to high-grade disease, and the probability of progression to invasive cancer from a single PanIN is only 0.86% (27). Therefore, given the prevalence of these asymptomatic low-grade PanIN lesions, distinguishing between PanIN 2 and PanIN 3 is clinically critical.

3 Cellular origin of PanIN

The cellular origin of PDAC remains a topic of various hypotheses. The current perspective is that PDAC is a disease localized to the exocrine glands of the pancreas. The exocrine cells of the pancreas mainly include the acinar cells that secrete digestive enzymes, the ductal cells that transport the enzymes to the gut, and the central acinar cells that connect the acinar cells to the ductal cells (28). Therefore, PDAC may originate from acinar cells, ductal cells, or central acinar cells (Figure 1). Furthermore, primary cilia are believed to play a significant role in modulating growth factor signaling pathways. In PDAC and PanIN, a key characteristic is the arrest of ciliogenesis. This suggests that primary cilia may also be involved in the progression of PanIN lesions (29).

Figure 1
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Figure 1. Cellular origin of PanIN. PanIN does not appear to arise de novo, but instead derived from the neoplastic transformation of normal cells. PanIN arises from various cell types within the exocrine compartment of the pancreas, including ductal, acinar, and central acinar cells, as well as stem cells. These cell populations serve as the source for the development of PanIN lesions.

Despite the classification of tumors based on their histological appearance, morphologic features do not necessarily predict cellular origin. Histological analysis indicates that pancreatic intraepithelial neoplasia (PanIN) may originate from ductal epithelium cells, hence its name (17). Conversely, mouse models of PDAC development suggest that in addition to ductal cells, PanIN may also develop from central acinar cells or acinar cells (3032). The tumor microenvironment significantly influences the emergence of pancreatic carcinogenesis, facilitating the interconversion of various cell types. Therefore, the cellular origin of PanIN remains a controversial topic to date.

3.1 PanIN originates from ductal cells

For a long time, the pancreatic duct has been considered as the cellular origin of PDAC due to its similarity to duct-like morphology (33, 34). However, this hypothesis was challenged when genetic mouse models confirmed that acinar cells may also be a cellular source of PDAC (3537). A fusion of the cytokeratin 19 promoter (specifically active in pancreatic ductal cells) with mutant KRAS failed to induce PanIN or PDAC, which negates the possibility of a ductal origin of PanIN (38). Nevertheless, recent analysis of somatic variants in human PDAC and precursor lesions has confirmed that PanIN is a disease that can spread through the entire ductal system, suggesting that PanIN may still originate from ductal cells. In patients, multiple discrete PanIN lesions often represent a single neoplasm that has spread along the ductal system (32). Therefore, the hypothesis of ductal cells as the origin of PanIN has been proposed once again. KRAS mutation in pancreatic ducts accelerates PDAC’s progression in a mouse model of chronic obstructive pancreatitis (39). A recent study utilizing tamoxifen-dependent CreERT2 mediated recombination mice (Hnf1b: CreERT2; KrasG12V) suggests that ectopic expression and elevated levels of oncogenic mutant KRAS in pancreatic ducts generate early and late PanIN as well as PDAC (40). However, this doesn’t necessarily mean that only ductal cells are the original cells of PanIN, as more evidence suggests the diversification of its origin cells.

3.2 PanIN originates from acinar cells

Acinar cells are a crucial type of pancreatic constituent cells that have been found to be the predominant origin cells for KRASG12D-induced PanINs in various studies. Acinar cells are the main type of pancreatic constituent cells. When oncogenic Kras is activated in combination with chronic inflammation, a high-fat diet, or mutations in tumor suppressor genes (SMAD4/DPC4 and P53), adult acinar cells lead to the transformation of PanIN lesions into PDAC (4143). During embryonic development in mouse models, the pancreatic lineage expresses endogenous KRAS oncogene, which can replicate human PanIN and PDAC in a faithful manner. When endogenous KRASG12V oncogene is expressed in embryonic acinar/centroacinar cells in mice, they produce PanIN and PDAC. These findings suggest that PDAC may originate from acinar/centroacinar cells or their precursors that differentiate into duct-like cells (30).

Studies have shown that changes in the transcriptional network of acinar cells can affect early events induced by KRASG12D (35, 37, 44). In mice expressing KRASG12D but lacking MIST1, an acinar-restricted transcription factor, severe exocrine pancreatic defects occur, and the initiation and progression of PanIN are greatly accelerated (44). Since Mist1 is not expressed in centroacinar cells or duct cells, these findings suggest that altering the acinar Mist1 transcriptional network has a profound effect on the development of PanIN. Kopp et al. conducted a comparison of the propensity of ductal/centroacinar cells and acinar cells to form PanIN in response to oncogenic KRAS. To induce recombination of the KRASG12D allele in ductal/centroacinar cells or acinar cells, they used Sox9CreER or Ptf1aCreER mice, respectively. Their findings showed that all Ptf1aCreER;KrasG12D mice displayed abundant PanIN, in contrast, only 57% of Sox9CreER;KrasG12D mice displayed a small amount of PanIN (45).

Guerra et al. created a PanIN model of LSL-KrasG12V;Elas-tTA/tetO-Cre mice that allows controlled temporal expression of KRASG12V oncogene in acinar and central acinar cells. Between 1 and 3 months of age in this mice, acinar-ductal metaplasia was observed. The metaplastic acinar structures comprised highly proliferative cells that included both acinar cells and duct-like cells. The Notch, TGF-β, and EGF signaling pathways are typically maintained at high levels in PDAC, providing cells with growth and survival advantages. Metaplastic acinar structures expressed Notch target genes, and exhibited mosaic expression patterns for ErbB2, and pERK. This expression pattern was similar to that of PanIN, which means that both follow similar molecular pathways. Thus, it is possible that KRASG12D-induced PanIN may originate from acinar cells undergoing acinar-ductal metaplasia (46). TGF-a has been found to induce transdifferentiation of acinar cells into ductal cells, further supporting the notion that acinar cells can develop ductal properties and potentially be the origin of PanIN (47). The ductal origin of PanIN is also possible, although this is more unusual (48).

3.3 PanIN originates from central acinar cells

The ductal phenotype of PanIN and other PDAC precursor lesions such as IPMN and MCN, suggests that pancreatic ducts are the origin of pancreatic cancer (49). However, recent evidence emerging from mouse models and lineage tracing studies challenges the notion that the pancreatic duct is the exclusive origin of PDAC. A significant amount of evidence suggests that PDAC may also originate from centroacinar-acinar cells through the ADM process or the expansion of centroacinar cells (28, 30, 37). Centroacinar cells, located at the interface of acinar and terminal duct cells, are considered candidates for pancreatic progenitor cells. Centroacinar cells are much like duct cells, with only subtle differences in the characteristics of the apical membrane. Centroacinar cells are a ductal cell type located at the center of acini, with active Notch signaling, and expression of the endocrine differentiation regulator Sox9 (50). SOX9 is a transcription factor required for the maintenance of the pancreatic progenitor pool and for determining pancreatic endocrine and exocrine cell fates (5153). Wang et al. discovered that SOX9 was expressed in central acinar cells, ductal epithelial cells, PDAC and its precursor lesions, but was rarely expressed in other pancreatic tumors (54). When co-expressed with oncogenic KRAS, SOX9 mutant mice accelerated the formation of PDAC precursor lesions (45). Pten is expressed in pancreatic ducts, central acinar cells, and pancreatic islets. Stanger et al. discovered that mice with pancreas-specific deletion of Pten exhibit extensive ductal metaplasia with developed PanIN lesions and malignant transformation. They further found that centroacinar cells are highly proliferative before the onset of metaplasia, and this hyperproliferative state exists at an even greater level after metaplastic changes. Ductal metaplasia in Pten mutant mice does not arise from acinar cells, concluding that centroacinar cells are instrumental in initiating the process of metaplasia (28). However, more research is necessary to support the evidence that PanIN can originate from central acinar cells. A subset of central acinar cells exhibit several markers, such as SOX9, HES1, and ALDH1B1, which are known to play significant roles in the development of PDAC and are also associated with cancer stem cells. This has led to the hypothesis that a subset of central acinar cells may function as cancer stem cells.

3.4 PanIN originates from cancer stem cells

In human PDAC primary xenografts and pancreatic cancer cell lines, a subpopulation of cells with potent tumor initiation or cancer stem cells (CSCs) has been identified by scholars (5558). CSCs contribute to PDAC initiation and metastasis, are pluripotent, self-renewing, and tumor-forming, and responsible for resistance to chemotherapy and radiotherapy. CSCs account for less than 1% of all pancreatic cancer cells, and their origin remains uncertain. However, it is currently believed that they may emerge from transformed stem/progenitor cells or terminal cell dedifferentiation (59). The reactivation of embryonic programs and the expression of genes related to self-renewal are common to both stem cells and cancer (6062). Terminally differentiated cells in the adult pancreas also display a high degree of plasticity. Efforts have been made to transform acinar cells into the endocrine lineage, particularly β cells. Pancreatic acinar cells are prone to dedifferentiate into duct-like cell phenotypes in response to stresses such as injury or inflammation. This evidence well demonstrates the ability of terminal cells to dedifferentiate and retrograde (6366).

Currently, there is limited research on PDAC CSCs. CD133, CD24, CD44, EPCAM, and ESA are currently considered the most comprehensive biomarkers for pancreatic CSCs (67, 68). The CD133 pancreatic CSCs co-express the CXCR4 receptor play a crucial role in tumor metastasis (58). Animal experiments have confirmed a highly tumorigenic subpopulation of CD44 co-express CD24, EpCAM, and CD133 pancreatic cancer cells that exhibit the biological properties of CSCs, making them often resistant to chemo and radiotherapy (55). In addition to cell surface markers, the cellular molecule ALDH1, which catalyzes the oxidation of intracellular aldehydes and transforms retinol to retinoic acid, has also been identified as a pancreatic ductal adenocarcinoma stem cell marker (67). The ABCG autofluorescent vesicular cell subset in PDAC has potent CSCs properties with distinct tumorigenic potential (69). C-Met is also critical in the biology of pancreatic CSCs (55). The double corticoid-like kinase DCLK1 and the G protein-coupled receptor LGR5 containing leucine-rich repeats are also markers of pancreatic CSCs (68). Additionally, 26S proteasome activity, CD90, and side group (SP) are also included in biomarkers of CSCs (7073).

Although the majority of studies suggest that PDAC arises from PanIN, relatively few investigations have focused on PanIN CSCs. A subpopulation of cells containing high levels of DCLK1 and acetylated αTubulin (AcTub) are present in mouse ADM and PanIN, these cells display unique sphere-forming capacities similar to CSCs. AcTub+/DCLK1+ cell subpopulation in ADM and PanIN epithelium is acinar cell-derived, and these cells have been shown to enhance clonogenic capacity in vitro and have high metastatic potential in vivo, both factors are crucial for the development and progression of PanIN (74, 75). Additionally, oncogenic KRAS effectively initiates PanIN development in the DCLK1-expressing cell subset, and deletion of DCLK1 greatly reduces PanIN formation (75). However, it remains to be further clarified and characterized whether these are subpopulations of acinar cells specifically produced by precancerous lesions and PDAC.

5 Genetic susceptibility and gene mutation of PanIN

Currently, over 90% of invasive PDAC cases are recognized as having KRAS mutations (76, 77). Additionally, the most frequent tumor suppressor genes - CDKN2A, TP53, SMAD4, and BRCA2 - have been found to be inactivated in PDAC (76). Interestingly, CDKN2A acts as an inhibitor of copper oxidation and is inactivated in both PanIN and PDAC. This suggests that copper-iron dysregulation may also occur in PanIN, though this remains unstudied. Whether copper-iron imbalances could serve as diagnostic markers for PanIN, and the potential role of copper metabolism disorders in the progression from PanIN to PDAC, are important questions that still need to be explored. In addition to these, other oncogenes like BRAF, AKT2, MYB, and EGFR, and tumor-suppressor genes including MAP2K4, TGFBR1, STK11, TGFBR2, ACVR1B, FBXW7, ACVR2A, and EP300 can also be mutated in a few PDAC cases (76). Epigenetic changes can also alter gene function in PDAC, and changes in microRNA expression also seem to contribute to cancer development and progression. Since PanIN - the most common precursor lesion of PDAC - is challenging to detect using current imaging techniques, genetic and molecular analysis of PanIN becomes even more crucial. PanIN acquires genetic and epigenetic alterations during its development that allow it to progress into aggressive PDAC (76). Studies have shown that low-grade PanIN increases with age, while high-grade PanIN is present in aggressive PDAC (78). A family history of PDAC poses a significant risk, with patients having a genetic susceptibility to PDAC often exhibiting multiple levels of PanIN in their pancreas (79). Furthermore, individuals with a family history of PDAC are at a greater risk of developing PDAC themselves (80). Several genes that predispose to familial aggregation of PDAC include BRCA2, CDKN2A/p16, STK11/LKB1, PRSS1, MLH1, FANCG, and PALB2 (8183). Although genetic susceptibility to PDAC can’t be entirely explained by susceptibility gene mutations, by understanding the genetic makeup of PanIN using genetic and molecular analysis, important insights into PDAC can be obtained to facilitate the development and advancement of diagnosis and treatment. Therefore, estimating the evolutionary history of PanIN using genetic and molecular mutations may provide better opportunities for early screening and diagnosis of pancreatic cancer (Figure 2).

Figure 2
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Figure 2. Molecular changes occurring in the progression from PanIN to PDAC. The transition from PanIN to PDAC is often accompanied by several molecular changes that are commonly observed. These include alterations in KRAS, MUC5AC, P16, MUC1, TP53, DPC4, and BRCA2. Furthermore, the figure provided low-frequency molecular mutations that have also been identified during this progression.

5.1 Gene mutations that occur early in PanIN

According to studies, multiple genetic alterations found in PDAC are also present in PanIN, and their frequency increases with PanIN grade (84). Recently, genomic DNA samples obtained by microdissection from PDAC and related PanIN 2 and PanIN 3 lesions in ten pancreatic cancer patients were subjected to exome sequencing analysis. The results showed that all adjacent lesions originated predominantly from a common ancestral source, with most somatic mutations present at the PanIN 2 stage or earlier (85). Laser microdissection technology combined with pyrosequencing was also used by Michael Goggins et al. to perform more detailed genetic testing of the early development of PanIN. They found that almost all early development of PanIN requires somatic mutation, with KRAS mutation initiating PanIN formation in genetically engineered mouse models (86). More than 99% of PanIN 1 lesions contain KRAS mutation, while early sporadic p16/CDKN2A, GNAS or BRAF mutations may further promote PanIN development based on KRAS mutation (86). Based on the view that PanIN 2 is the first true precancerous stage of PDAC, some scholars have screened 30 potential early diagnostic genes in this stage, including HNF3, S100P, TFF1, CDC37, AGR2, PI15, CST3, LGALS4, and PCOLN3, which have received attention. However, there is much more to PanIN than early genetic and molecular changes that remain to be explored in depth (87).

5.1.1 The earliest genetic changes

Undoubtedly, genetic mutations play a crucial role in the development of PDAC. However, there is controversy surrounding whether the transition from PanIN to PDAC requires the gradual accumulation of mutations. Patients’ mutation loads show great heterogeneity. KRAS oncogene activation and ERBB2 amplification are the earliest genetic changes observed in PanIN (78).

Among PDAC and PanIN, the primary and most important gene under study is KRAS. A meta-analysis showed that the frequency of KRAS mutations in PanIN lesions increased with the lesion grade in PDAC patients, while in those with chronic pancreatitis, the proportion of KRAS-harboring PanIN lesions was relatively low and independent of their grade (84). Recent research confirmed that the oncogene KRAS dose is a key factor in PDAC, with two-thirds of PDAC patients increasing the dose of KRASG12D (also known as KRASiGD). Researchers found that after the initial KRAS mutation, cancer evolution requires an increased dose of oncogenes by amplifying mutated KRAS or other oncogenes such as YAP1 or NFKB2, through analyses of human PanIN lesions. Different mouse models showed that an increased dose of oncogenes depends on inactivated tumor suppressors. For example, TP53 or CDKN2A homozygous inactivation make tumors prone to KRASiGD, while YAP1 or NFKB2 amplification results from loss of heterozygous CDKN2A. Integrated cell phenotypes revealed that KRAS mutation and KRASiGD were related to epithelial-tumor mesenchymal transformation and dedifferentiation degrees. Nevertheless, KRAS dose remains an overlooked research area in PDAC and PanIN relative to KRAS mutation. Thomas et al. argue that the carcinogenic dose should be seen as a basic and important process, reminding researchers from a new perspective that KRASiGD plays a vital role in the formation of PDAC and PanIN (88, 89).

The ERBB2 protein is responsible for encoding the tyrosine kinase growth factor receptor, a key factor in activating and inducing cell proliferation. As a result, ERBB2 is a potent oncogene and its overexpression is an early and significant factor in the development of pancreatic cancer. In fact, research has shown that ERBB2 overexpression is present in 82% of PanIN 1A lesions and 100% of PanIN 3 lesions (90). Moreover, ERBB2 plays a critical role in mediating growth factor-related signal transduction in pancreatic duct lesions, making it a target for potential therapies.

5.1.2 changes in low-frequency mutations associated with senescence

Apart from the well-established driver mutations of PDAC, such as KRAS, TP53, CDKN2A, and SMAD4, there are numerous genes with low-frequency mutations that may play a functional role in promoting tumor development (91). Low-frequency mutations acquired at an early stage could be critical in tumorigenesis. Among the genes with low-frequency mutations in PDAC, ARID1A is one of the most frequently mutated epigenetic regulatory factors in many cancers. A mouse model study analyzing the transcriptome of individual PanIN revealed that Arid1a knockout effectively reduced KRAS-induced senescence in PanIN lesions (91). Cellular senescence is a major rate-limiting step in KRAS-driven PanIN progression. Thus, with a significant attenuation of senescence, ARID1A knockout can accelerate PanIN progression (91, 92).

The telomere, a unique structure located at the end of a chromosome, plays a crucial role in maintaining chromosome stability. Severe telomere shortening may result in human chromosome instability, which is necessary for developing most human epithelial cancers (93). Nevertheless, telomere shortening alone is unlikely to induce tumor formation; instead, it sets the foundation for chromosome abnormalities. Notably, telomere length was significantly reduced in 91% of PanIN 1A lesions, indicating that telomere shortening is likely the most common early genetic abnormality in PDAC progression models (93). However, some studies have suggested that this phenomenon may be a result of the activation of the oncogene stress-induced aging process and cannot serve as an initiating factor for PanIN (94).

5.2 Activation of cell fate regulatory signal pathway

The use of genetically engineered mouse models has significantly advanced the study of PanIN and PDAC. By continuously monitoring the signaling pathways involved in pancreatic carcinogenesis using these models, researchers have been able to gain a better understanding of the mechanisms driving PDAC precursor progression. Activation of numerous cell fate regulation signaling pathways occurs during PanIN and PDAC and plays a crucial role in PDAC development (Figure 3).

Figure 3
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Figure 3. Signaling pathways regulating PanIN. Schematic representations of signaling pathways implicated in PanIN, namely Hedgehog, Wnt, EGF, Notch, and IL-17, are depicted. Certain interactions between these signaling pathways are indicated.

5.2.1 Activation of Hedgehog pathway

During embryonic life, Hedgehog signaling is critical for pancreatic development, and abnormal activation of this pathway may be a feature of human PanIN (95). Some studies have found that the Hedgehog pathway is abnormally activated in both human PanIN and PDAC (95, 96). Transfection of HPDE cells with Gli1, a downstream mediator of Hedgehog, led to the upregulation of foregut epithelial transcripts (97). Abnormal Hedgehog signaling may contributes to the production of intestinal phenotype in the pancreatic epithelium and increasing neoplastic potential.

5.2.2 Activation of Notch pathway

The Notch signaling pathway plays a key role in cell fate and differentiation decisions, and its early activation in cancer indicates that it plays an important role in cancer initiation and transformation (98). Although the origin of PDAC remains unclear, Notch signaling activation during PanIN initiation is believed to be a key step in PanIN transformation, as activated Notch signaling and KRAS have a synergistic effect on inducing PanIN formation. Notch signaling renders acinar cells sensitive to KRASG12D-driven PanIN initiation, and the coactivation of Notch and KRAS promotes ADM to accelerate the formation of induced PanIN (99).

Notch receptors, NOTCH1 and NOTCH2, are expressed in pancreatic acinar cells and ductal cells, respectively. NOTCH2 deficiency, but not NOTCH1 deficiency, can eliminate PanIN progression, delay the development of PDAC, and prolong survival. NOTCH2 expression is observed during PanIN and PDAC development, and its activation may be necessary for PanIN progression (98). HES1, a key downstream target of the Notch signaling pathway, plays a vital role in acinar cell integrity and cell damage plasticity (100).

Myc amplification supports the early role of PanIN progression in precursor lesions (101). Recently, quantitative proteomic screens identified Myc expression in PanIN 3 lesions, Myc amplification supports its early role in PanIN progression (101, 102). During PanIN progression, Myc expression increases under the regulation of NOTCH2. Furthermore, under active Notch signaling, Myc and Ras signaling cooperate to promote tumor progression. MIST1, a basic helix-loop-helix transcription factor, is only expressed in terminally differentiated pancreatic acinar cells (103). In pancreatic acinar cells lacking MIST1, the EGFR, NOTCH, and KRAS pathways coordinate to accelerate PanIN formation. Shi et al. demonstrated that KRASG12D mice exhibit severe pancreatic exocrine deficiency in the absence of MIST1, which could be rescued by ectopic expression of Mist1 in acinar cells. The development of PanIN was significantly accelerated in the pancreas of Mist1KO; KrasG12D mice. In vitro studies have shown that Mist1KO acinar cells can easily converted to ductal phenotypes and activate EGFR and Notch signal pathways (104).

5.2.3 IL-17

IL-17 is a potent pro-inflammatory cytokine that is closely associated with the formation, growth, and metastasis of a variety of malignancies (105). Activated IL-17 induces DNA damage and pancreatic inflammation, further promoting tumorigenesis in the context of KRAS mutation (106, 107). Notably, there is a positive correlation between IL-17 and NOTCH expression. The IL-17 axis upregulates NOTCH activity through the classical NF-κB pathway, synergistically promoting the production and development of PanIN and PDAC (108).

Moreover, IL-17 has been found to induce the production of pancreatic CSCs (109). In the presence of oncogenic KRAS, IL-17 induces transcription of DCLK1 and ALDH1A1 (a marker of embryonic stem cells) through classical pathway activation, and directly upregulates DCLK1 expression in pancreatic cancer cells in a dose-dependent manner (110). Hence, IL-17 regulates the development of stem cell features of pancreatic cancer cells by increasing the expression of DCLK1, ALDH1A1, and other stem cell markers.

5.3 Stemness-related genes

There is a hypothesis that PanIN could potentially arise from CSCs. While the origin of these cells is not entirely clear, there is a shared characteristic between stem cells and CSCs in terms of their expression of genes associated with self-renewal (60, 61). Therefore, alterations in genes related to stemness may signify an early genetic change in the development of PanIN.

5.3.1 SOX9

SOX9 is expressed in multipotent pancreatic progenitor cells and is required for the maintenance of multipotent progenitors in early pancreatic epithelial cells (111). Recent studies have demonstrated that Sox9 is a determinant of ductal cell fate downstream of Notch in the adult pancreas, and is essential for the differentiation and maintenance of ductal cells (112). In the presence of pancreatitis, SOX9 does not contribute to the development of ADM but is critical for its progression into PanIN. The expression of SOX9 is high in low-grade PanIN lesions, while it is comparatively low in high-grade PanINs and PDAC. This pattern suggests that SOX9 plays a critical role in initiating PDAC (113).

5.3.2 ATDC

Ataxia-telangiectasia group D-complementing (ATDC), also known as tripartite motif 29 (TRIM29), is a member of the TRIM protein family, highly expressed in various cancers and associated with prognosis and survival rates (114). In the presence of KRASG12D expression, ATDC is required for acinar to ductal transdifferentiation in primary acinar cell cultures, as well as in the progression of ADM to PanIN, prompted by cerulein. Additionally, ATDC is required for KRASG12D-induced progression of PanIN and PDAC formation. Therefore, ATDC may play a key role in the reprogramming of pancreatic epithelial cells induced by carcinogenic KRAS.

ATDC activates the β-catenin signaling pathway, leading to the transcriptional activation of SOX9 through TCF4 binding to essential sites in the SOX9 promoter (115). The ATDC-β-catenin-SOX9 signaling axis is critical for the development of pancreatic neoplastic precursors, and in the absence of ATDC, pancreatic neoplastic precursors do not form (116).

5.3.3 DCLK1

DCLK1 is known as a marker of pancreatic progenitor cells and is involved in the development of various gastrointestinal tumors (117). Studies have shown that both mouse and human PanIN and PDAC express DCLK1, and DLK1 may mark tumor-initiating cells in a variety of tumor types (118, 119). In the ApcMin model, pedigree tracing of Cre/lox revealed that cells expressing DCLK1 in intestinal adenoma were responsible for continuous production of tumor cells. Bailey et al. confirmed that DCLK1-positive cells exhibited unique morphology, gene expression patterns, and enhanced “PanIN sphere” formation ability, indicating that DCLK1 may mark a subset of cells with stemness properties in PanIN. However, this requires further confirmation through pedigree tracking (120). Furthermore, pancreas-specific DCLK1 knockout mice showed delayed progression of PanIN lesions (121).

In addition, other factors can interact with DCLK1 and affect the progress of PanIN. G9a, a specific methyltransferase, G9a deficiency attenuates PanIN progression in LSL-KrasG12D;Pdx1-Cre (KC) mice and prolongs the survival time. Further studies have found that G9a plays an important role in the malignant transformation of low-grade PanIN (122). G9a deficiency reduced the number of DCLK1-positive cells and ERK phosphorylation in PanIN lesions, but the mechanism is unclear. Several studies suggest that G9a may be associated with MAPK activation and the clonogenic capacity of DCLK1-positive cells in the pancreas of KC mice. The direct binding of Dclk1 to KRAS protein is the key factor in the activation of MAPK in pancreatic cancer cells (121), indicating the functional interaction of G9a, DCLK1, and MAPK pathways in KRAS-driven PDAC (122).

5.4 Gene mutation in the late stage of PanIN

In the early stages, PanIN’s molecular characteristics are relatively simple, and the likelihood of developing invasive PDAC is low. However, high-grade PanIN (PanIN 3) is more uncertain and complex due to severe nuclear atypia, lumen necrosis, and marked epithelial sprouting, which indicates the development of PDAC (123). At present, high-grade PanIN is not only the main precursor lesion of PDAC but also an ideal target for early detection (124). Unfortunately, clinical and imaging methods cannot detect high-grade PanIN, and thus molecular detection methods are critical (125, 126).

Maitra et al. utilized immunohistochemistry to examine the protein expression of genes related to PDAC progression in 55 PanIN lesion tissue microarrays. Their findings revealed that molecular abnormalities in PanIN were not random and were typically classified as “early” changes (such as prostate stem antigen and MUC5 expression, or P16 loss), “intermediate” changes (such as cyclin D1 expression), and “late” changes (such as P53, proliferating antigen, and MUC1 expression, or Smad4/Dpc4 loss) (127). However, further experiments involving sequencing and pedigree tracking have raised questions about these results. Using tumor sequencing, adjacent PanIN lesions, and normal tissues from 10 PDAC patients, Murphy et al. discovered that the tumors were genetically identical to the adjacent PanIN lesions for over 50% of the genetic mutations. While there were some variations in molecular mutations in each sample, the overall results indicated that the adjacent PanIN and tumor originated from a common ancestor and that most of the somatic mutations in the tumor occurred in PanIN 2 or earlier. Furthermore, PanIN 2 contains as many mutations as PanIN 3 and tumor tissue, indicating that PanIN 2 can potentially progress into a tumor even in the absence of PanIN 3. In addition, precancerous lesions may require epigenetic modifications, aneuploidy, or changes based on the expression of certain proteins to develop into invasive tumors (85). For instance, the proteins gal-1, annexins A4 and A5, ANXA4, vimentin, and laminin, which exhibit differential expression in PanIN 3, are also dysregulated in PDAC (102, 128). C-myc was identified as an important regulatory protein in the dysregulated protein network in PanIN 3 tissue, which supports the pathological and genomic progression model of PanIN to PDAC from a proteomic perspective (129131).

Hosoda et al. conducted an analysis of 17 high-grade PanIN lesions in 15 patients and 16 low-grade PanIN lesions in 10 patients, revealing a presence of KRAS oncogenic mutations in 94% of both high and low-grade PanIN lesions. Meanwhile, in high-grade PanIN lesions, 29% exhibited RNF43 mutations, 18% displayed CDKN2A mutations, and 12% had mutations in GNAS and TP53. Additionally, one high-grade PanIN lesion was found to have mutations in PIK3CA, TGFBR2, and ARID1A (124). Though mutations in RNF43 and GNAS were also observed in low-grade PanIN lesions, no mutations in CDKN2A or TP53 were detected.

In the development of non-invasive pancreatic duct lesions, the inactivation of the P16 gene has been found to be a contributing factor (132). Analysis via immunohistochemistry of lesional tissues from 70 patients with pancreatic diseases demonstrated that loss of P16 expression occurred in pancreatic tissue with pancreatic duct dysplasia, preceding P53 and DPC4 inactivation. P16 expression inversely governs the expression of P21 and P53, both of which play an important role in cell cycle regulation and the onset and development of PanIN. As such, assessments based on immunohistochemistry can enhance the efficiency of PanIN diagnoses (133135). While the early identification of high-grade PanIN may facilitate timely treatment, studying PanIN 2 may provide greater clinical diagnostic value and impede the progression of PanIN 2 into high-grade PanIN and aggressive PDAC.

6 Diagnosis of PanIN

Research has shown that almost 90% of PDAC is diagnosed after spreading beyond the pancreas, more than 50% of PDAC patients have systemic metastases, and only 15-20% of patients are eligible for surgical resection upon diagnosis (136, 137). Early detection of invasive cancer improves prognosis, but the most significant advancement in survival could come from identifying pre-malignant tumors, which elevates the importance of PanIN to the top of early diagnosis (138). In the WHO classification, carcinoma in situ corresponds to high-grade PanIN (PanIN 3) without invasive carcinoma. Carcinoma in situ is neither metastatic nor invasive, and it causes some abnormalities that are considered secondary clinical manifestations. PanIN can be diagnosed through histopathological methods, diagnostic imaging such as computed tomography (CT) and magnetic resonance imaging (MRI), serum tumor marker detection, gene diagnosis, circulating tumor DNA biopsy, and circulating tumor cell testing (Figure 4) (139141).

Figure 4
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Figure 4. Diagnosis of PanIN. PanIN can be diagnosed using various approaches, including histopathological methods, diagnostic imaging, serum tumor marker detection, metabonomics techniques, and the assessment of aberrant miRNA expression. These diagnostic modalities collectively contribute to the accurate identification and characterization of PanIN lesions.

6.1 Diagnosis using imaging methods

Histopathology is considered the most accurate and reliable gold standard among all cancer diagnostic methods. However, obtaining sufficient material for biopsy can be challenging, and the invasive nature of tissue collection can affect diagnostic accuracy. The sensitivity of CT and MRI is limited by the size of the tumor. Spiral CT has a sensitivity of only 72% in detecting small pancreatic masses, and MRI performs similarly (142, 143).

Endoscopic ultrasonography (EUS) has been found to have higher diagnostic efficiency than CT and MRI, and EUS-guided fine needle aspiration (EUS-FNA) is particularly superior to histopathological diagnosis. However, EUS is an invasive procedure with potential complications like bleeding and pancreatitis. Endoscopic retrograde cholangiopancreatography (ERCP) is another option to diagnose PanIN, but it carries a postoperative risk of inducing pancreatitis and requires strict candidate selection (144).

Recently, serial pancreatic-juice aspiration cytologic examination (SPACE) has emerged as an advanced method for malignancy diagnosis (145149). Nakahodo et al. retrospectively compared various imaging methods in patients with high-grade PanIN undergoing surgery and found that focal pancreatic parenchymal atrophy on CT/MRI and a hypoechoic stenotic pattern on EUS are important for the early diagnosis of PDAC, especially in the diagnosis of high-grade PanIN (150, 151). A comprehensive approach should be utilized to improve the diagnosis of PanIN, given the limitations of current imaging techniques and diagnostic methods.

6.2 Molecular diagnostic markers

Currently, early detection strategies for PDAC are primarily focused on pancreatic cystic fluid, pancreatic fluid, and plasma samples, but development of universal methods for early detection of PDAC is still necessary. The sensitivity, specificity, and accuracy of tumor marker CA19-9 in the diagnosis of PDAC are 83.1%, 73%, and 75%, respectively, but it is not suitable for early detection of PDAC due to its low value in predicting early stages of PDAC (152, 153). Genetic testing can provide a more sensitive diagnostic approach than conventional methods. Detection of KRAS mutations in the patient’s pancreatic fluid or plasma can offer stronger evidence for the diagnosis of PDAC, although its presence alone is not sufficient for such diagnosis (154). In addition, the protein encoded by GPC in cancer exosomes can be used as a potential marker for non-invasive diagnosis and screening tools by ctDNA biopsy diagnosis (141).

At present, there are few specific biomarkers can distinguish between low-grade PanIN, high-grade PanIN, and PDAC directly. MAbDas-1, a monoclonal antibody against the colonic epithelial antigen, has shown promise as a highly specific marker for precancerous lesions located in the upper gastrointestinal tract. Moreover, MAbDas-1 is capable of distinguishing between low- and high-risk IPMN lesions (155). Through the study of cystic fluid from 169 patients with pancreatic cystic lesions, Das et al. found that the Das-1 ELISA exhibited a sensitivity of 88%, specificity of 99%, and accuracy of 95% for high-risk lesions (156). Expression of Das-1 was not identified in 56 normal pancreatic ducts or 95 low-grade PanIN lesions; however, it was markedly raised in high-grade PanIN and PDAC. As such, mAbDas-1 proves highly specific for advanced PanIN and PDAC and could aid in preoperative diagnoses, as well as clinical risk stratification (157).

Using a PDAC genetically engineered mouse model, Dieter et al. employed cathepsin-activatable near-infrared probes combined with flexible confocal fluorescence laser microscopy to differentiate normal pancreatic tissue, low-grade PanIN, high-grade PanIN, and early PDAC (158). This method offers a promising approach to early diagnosis of PDAC with greater accuracy compared to traditional diagnostic methods.

6.3 Metabonomics techniques

Metabolomics techniques offer a promising approach for the detection and identification of cancer by facilitating the comprehensive analysis of trace metabolites in biological fluids and tissues (159161). Notably, the metabolomic profiles of PDAC patients are distinct from that of healthy controls (161163). Potential metabolic signatures can be identified by using nuclear magnetic resonance (NMR) spectroscopy combined with multivariate and univariate statistical analysis and screening for differential metabolites including glucose, amino acids, carboxylic acids, and coenzymes (164, 165). However, due to its relatively low sensitivity, NMR should be combined with other techniques like GC-MS and LC-MS to improve biomarker identification for early clinical detection and diagnosis of PDAC (165, 166). By effectively combining these techniques, researchers can maximize the potential of metabolomics as a diagnostic tool for PDAC.

6.4 MiRNA

MicroRNAs (miRNAs) are a class of small non-coding RNAs that are closely associated with cancer progression (167). Abnormal expression of miRNAs is believed to be an early event in pancreatic carcinogenesis (168). MiRNAs are implicated not only in PDAC progression but also in the process from PanIN to cancer. MiR-21 activates KRAS signaling via the transcription factor ELK1, promoting tumor cell proliferation, migration, and invasion (169). MiR-224 overexpression activates normal fibroblasts into tumor-associated fibroblasts, thereby increasing drug resistance in tumor cells (170). These studies demonstrate the significant impact of miRNA on promoting disease progression. Moreover, miRNAs are abundant and stable in serum, making them a promising marker for clinical diagnosis of PDAC (171173). Several studies have identified specific miRNAs in PanIN, including miR-10, miR-16, miR-21, miR-100, and miR-155, which are not found in normal pancreatic ducts (174). Additionally, miR-196b has been identified as a potential biomarker for differentiating PanIN 3 from low-grade PanIN, thus facilitating screening of high-risk cancerous lesions and assisting in clinical treatment selection.

Conclusion

PanIN can arise from multiple cell types and progress to PDAC through various signaling pathways driven by genetic mutations. Typically, this process involves a transition from low-grade to high-grade PanIN, which presents an opportunity to block invasive cancers. Although PanIN is recognized as a precursor lesion, there is often a greater focus on diagnosing PDAC, indicating a lack of understanding of PanIN. By utilizing genetic testing and non-invasive biomarkers to diagnose PanIN and determine its grade, early intervention can be achieved, leading to improved patient outcomes. Therefore, it is critical to conduct in-depth research into the mechanisms underlying PanIN, as this has significant clinical implications. The current challenge is to accurately grade PanIN lesions and develop effective treatment strategies.

Preventing the progression of PanIN2 to PanIN3 and the subsequent transition from PanIN3 to PDAC is crucial, yet no established treatment exists. High-risk patients are typically advised to adopt healthier lifestyle choices, such as quitting smoking, maintaining a balanced diet, and engaging in regular physical activity. Some studies suggest that non-steroidal anti-inflammatory drugs, metformin, and other agents may help reduce the risk of progression from PanIN to PDAC. Additionally, in cases of high-grade PanIN with a significant risk of progression, surgical resection may be considered. In conclusion, the management of PanIN remains an evolving field, with treatment strategies likely to evolve as new research emerges.

Author contributions

M-HS: Conceptualization, Methodology, Writing – original draft. L-LP: Conceptualization, Writing – original draft. T-FW: Conceptualization, Writing – original draft, Methodology. LQ: Conceptualization, Methodology, Project administration, Supervision, Writing – review & editing. K-PX: Conceptualization, Project administration, Supervision, Writing – review & editing. T-LP: Supervision, Validation, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Natural Science Foundation of China (82203351), Guangdong Basic and Applied Basic Research Foundation (2021A1515111095), and Major Clinical Research Project of Guangzhou Medical University Research Capacity Enhancement Programme (GMUCR2024- 02003).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Rahib L, Smith BD, Aizenberg R, Rosenzweig AB, Fleshman JM, Matrisian LM. Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States. Cancer Res. (2014) 74:2913–21. doi: 10.1158/0008-5472.CAN-14-0155

PubMed Abstract | Crossref Full Text | Google Scholar

2. Are C, Chowdhury S, Ahmad H, Ravipati A, Song T, Shrikandhe S, et al. Predictive global trends in the incidence and mortality of pancreatic cancer based on geographic location, socio-economic status, and demographic shift. J Surg Oncol. (2016) 114:736–42. doi: 10.1002/jso.24410

PubMed Abstract | Crossref Full Text | Google Scholar

3. Bouvier A-M, Uhry Z, Jooste V, Drouillard A, Remontet L, Launoy G, et al. Focus on an unusual rise in pancreatic cancer incidence in France. Int J Epidemiol. (2017) 46:1764–72. doi: 10.1093/ije/dyx088

PubMed Abstract | Crossref Full Text | Google Scholar

4. Ryan DP, Hong TS, Bardeesy N. Pancreatic adenocarcinoma. N Engl J Med. (2014) 371:1039–49. doi: 10.1056/NEJMra1404198

PubMed Abstract | Crossref Full Text | Google Scholar

5. Ducreux M, Boige V, Malka D. Treatment of advanced pancreatic cancer. Semin Oncol. (2007) 34:S25–30. doi: 10.1053/j.seminoncol.2007.01.006

PubMed Abstract | Crossref Full Text | Google Scholar

6. Neoptolemos JP, Kleeff J, Michl P, Costello E, Greenhalf W, Palmer DH. Therapeutic developments in pancreatic cancer: current and future perspectives. Nat Rev Gastroenterol Hepatol. (2018) 15:333–48. doi: 10.1038/s41575-018-0005-x

PubMed Abstract | Crossref Full Text | Google Scholar

7. Conroy T, Hammel P, Hebbar M, Ben Abdelghani M, Wei AC, Raoul J-L, et al. FOLFIRINOX or gemcitabine as adjuvant therapy for pancreatic cancer. N Engl J Med. (2018) 379:2395–406. doi: 10.1056/NEJMoa1809775

PubMed Abstract | Crossref Full Text | Google Scholar

8. Voltaggio L, Cimino-Mathews A, Bishop JA, Argani P, Cuda JD, Epstein JI, et al. Current concepts in the diagnosis and pathobiology of intraepithelial neoplasia: A review by organ system. CA Cancer J Clin. (2016) 66:408–36. doi: 10.3322/caac.21350

PubMed Abstract | Crossref Full Text | Google Scholar

9. Paner GP, Zehnder P, Amin AM, Husain AN, Desai MM. Urothelial neoplasms of the urinary bladder occurring in young adult and pediatric patients: a comprehensive review of literature with implications for patient management. Adv Anat Pathol. (2011) 18:79–89. doi: 10.1097/PAP.0b013e318204c0cf

PubMed Abstract | Crossref Full Text | Google Scholar

10. Basturk O, Hong S-M, Wood LD, Adsay NV, Albores-Saavedra J, Biankin AV, et al. A revised classification system and recommendations from the baltimore consensus meeting for neoplastic precursor lesions in the pancreas. Am J Surg Pathol. (2015) 39:1730–41. doi: 10.1097/PAS.0000000000000533

PubMed Abstract | Crossref Full Text | Google Scholar

11. van Heek NT, Meeker AK, Kern SE, Yeo CJ, Lillemoe KD, Cameron JL, et al. Telomere shortening is nearly universal in pancreatic intraepithelial neoplasia. Am J Pathol. (2002) 161:1541–7. doi: 10.1016/S0002-9440(10)64432-X

PubMed Abstract | Crossref Full Text | Google Scholar

12. Nagtegaal ID, Odze RD, Klimstra D, Paradis V, Rugge M, Schirmacher P, et al. The 2019 WHO classification of tumours of the digestive system. Histopathology. (2020) 76:182–8. doi: 10.1111/his.13975

PubMed Abstract | Crossref Full Text | Google Scholar

13. Kanda M, Matthaei H, Wu J, Hong S-M, Yu J, Borges M, et al. Presence of somatic mutations in most early-stage pancreatic intraepithelial neoplasia. Gastroenterology. (2012) 142:730–733.e9. doi: 10.1053/j.gastro.2011.12.042

PubMed Abstract | Crossref Full Text | Google Scholar

14. Ryu JK, Hong S-M, Karikari CA, Hruban RH, Goggins MG, Maitra A. Aberrant MicroRNA-155 expression is an early event in the multistep progression of pancreatic adenocarcinoma. Pancreatology. (2010) 10:66–73. doi: 10.1159/000231984

PubMed Abstract | Crossref Full Text | Google Scholar

15. Lennon AM, Wolfgang CL, Canto MI, Klein AP, Herman JM, Goggins M, et al. The early detection of pancreatic cancer: what will it take to diagnose and treat curable pancreatic neoplasia? Cancer Res. (2014) 74:3381–9. doi: 10.1158/0008-5472.CAN-14-0734

PubMed Abstract | Crossref Full Text | Google Scholar

16. Klimstra DS, Longnecker DS. K-ras mutations in pancreatic ductal proliferative lesions. Am J Pathol. (1994) 145:1547–50.

PubMed Abstract | Google Scholar

17. Hruban RH, Takaori K, Klimstra DS, Adsay NV, Albores-Saavedra J, Biankin AV, et al. An illustrated consensus on the classification of pancreatic intraepithelial neoplasia and intraductal papillary mucinous neoplasms. Am J Surg Pathol. (2004) 28:977–87. doi: 10.1097/01.pas.0000126675.59108.80

PubMed Abstract | Crossref Full Text | Google Scholar

18. Hruban RH, Adsay NV, Albores-Saavedra J, Compton C, Garrett ES, Goodman SN, et al. Pancreatic intraepithelial neoplasia: a new nomenclature and classification system for pancreatic duct lesions. Am J Surg Pathol. (2001) 25:579–86. doi: 10.1097/00000478-200105000-00003

PubMed Abstract | Crossref Full Text | Google Scholar

19. Cornish TC, Hruban RH. Pancreatic intraepithelial neoplasia. Surg Pathol Clin. (2011) 4:523–35. doi: 10.1016/j.path.2011.03.005

PubMed Abstract | Crossref Full Text | Google Scholar

20. Moskaluk CA, Hruban RH, Kern SE. p16 and K-ras gene mutations in the intraductal precursors of human pancreatic adenocarcinoma. Cancer Res. (1997) 57:2140–3.

PubMed Abstract | Google Scholar

21. Andea A, Sarkar F, Adsay VN. Clinicopathological correlates of pancreatic intraepithelial neoplasia: a comparative analysis of 82 cases with and 152 cases without pancreatic ductal adenocarcinoma. Mod Pathol. (2003) 16:996–1006. doi: 10.1097/01.MP.0000087422.24733.62

PubMed Abstract | Crossref Full Text | Google Scholar

22. Matsuda Y, Furukawa T, Yachida S, Nishimura M, Seki A, Nonaka K, et al. The prevalence and clinicopathological characteristics of high-grade pancreatic intraepithelial neoplasia: autopsy study evaluating the entire pancreatic parenchyma. Pancreas. (2017) 46:658–64. doi: 10.1097/MPA.0000000000000786

PubMed Abstract | Crossref Full Text | Google Scholar

23. Wilentz RE, Geradts J, Maynard R, Offerhaus GJ, Kang M, Goggins M, et al. Inactivation of the p16 (INK4A) tumor-suppressor gene in pancreatic duct lesions: loss of intranuclear expression. Cancer Res. (1998) 58:4740–4.

PubMed Abstract | Google Scholar

24. Wilentz RE, Iacobuzio-Donahue CA, Argani P, McCarthy DM, Parsons JL, Yeo CJ, et al. Loss of expression of Dpc4 in pancreatic intraepithelial neoplasia: evidence that DPC4 inactivation occurs late in neoplastic progression. Cancer Res. (2000) 60:2002–6.

PubMed Abstract | Google Scholar

25. Fearon ER, Vogelstein B. A genetic model for colorectal tumorigenesis. Cell. (1990) 61:759–67. doi: 10.1016/0092-8674(90)90186-i

PubMed Abstract | Crossref Full Text | Google Scholar

26. Makohon-Moore AP, Matsukuma K, Zhang M, Reiter JG, Gerold JM, Jiao Y, et al. Precancerous neoplastic cells can move through the pancreatic ductal system. Nature. (2018) 561:201–5. doi: 10.1038/s41586-018-0481-8

PubMed Abstract | Crossref Full Text | Google Scholar

27. Terhune PG, Phifer DM, Tosteson TD, Longnecker DS. K-ras mutation in focal proliferative lesions of human pancreas. Cancer Epidemiol Biomarkers Prev. (1998) 7:515–21.

PubMed Abstract | Google Scholar

28. Da Silva Xavier G. The cells of the islets of langerhans. J Clin Med. (2018) 7:54. doi: 10.3390/jcm7030054

PubMed Abstract | Crossref Full Text | Google Scholar

29. Seeley ES, Carrière C, Goetze T, Longnecker DS, Korc M. Pancreatic cancer and precursor pancreatic intraepithelial neoplasia lesions are devoid of primary cilia. Cancer Res. (2009) 69:422–30. doi: 10.1158/0008-5472.CAN-08-1290

PubMed Abstract | Crossref Full Text | Google Scholar

30. Stanger BZ, Stiles B, Lauwers GY, Bardeesy N, Mendoza M, Wang Y, et al. Pten constrains centroacinar cell expansion and Malignant transformation in the pancreas. Cancer Cell. (2005) 8:185–95. doi: 10.1016/j.ccr.2005.07.015

PubMed Abstract | Crossref Full Text | Google Scholar

31. Carrière C, Seeley ES, Goetze T, Longnecker DS, Korc M. The Nestin progenitor lineage is the compartment of origin for pancreatic intraepithelial neoplasia. Proc Natl Acad Sci U.S.A. (2007) 104:4437–42. doi: 10.1073/pnas.0701117104

PubMed Abstract | Crossref Full Text | Google Scholar

32. Guerra C, Schuhmacher AJ, Cañamero M, Grippo PJ, Verdaguer L, Pérez-Gallego L, et al. Chronic pancreatitis is essential for induction of pancreatic ductal adenocarcinoma by K-Ras oncogenes in adult mice. Cancer Cell. (2007) 11:291–302. doi: 10.1016/j.ccr.2007.01.012

PubMed Abstract | Crossref Full Text | Google Scholar

33. Notta F, Chan-Seng-Yue M, Lemire M, Li Y, Wilson GW, Connor AA, et al. A renewed model of pancreatic cancer evolution based on genomic rearrangement patterns. Nature. (2016) 538:378–82. doi: 10.1038/nature19823

PubMed Abstract | Crossref Full Text | Google Scholar

34. Mose LE, Wilkerson MD, Hayes DN, Perou CM, Parker JS. ABRA: improved coding indel detection via assembly-based realignment. Bioinformatics. (2014) 30:2813–5. doi: 10.1093/bioinformatics/btu376

PubMed Abstract | Crossref Full Text | Google Scholar

35. De La OJ-P, Emerson LL, Goodman JL, Froebe SC, Illum BE, Curtis AB, et al. Notch and Kras reprogram pancreatic acinar cells to ductal intraepithelial neoplasia. Proc Natl Acad Sci U.S.A. (2008) 105:18907–12. doi: 10.1073/pnas.0810111105

PubMed Abstract | Crossref Full Text | Google Scholar

36. Murtaugh LC, Leach SD. A case of mistaken identity? Nonductal origins of pancreatic “ductal” cancers. Cancer Cell. (2007) 11:211–3. doi: 10.1016/j.ccr.2007.02.020

PubMed Abstract | Crossref Full Text | Google Scholar

37. Habbe N, Shi G, Meguid RA, Fendrich V, Esni F, Chen H, et al. Spontaneous induction of murine pancreatic intraepithelial neoplasia (mPanIN) by acinar cell targeting of oncogenic Kras in adult mice. Proc Natl Acad Sci U.S.A. (2008) 105:18913–8. doi: 10.1073/pnas.0810097105

PubMed Abstract | Crossref Full Text | Google Scholar

38. Brembeck FH, Schreiber FS, Deramaudt TB, Craig L, Rhoades B, Swain G, et al. The mutant K-ras oncogene causes pancreatic periductal lymphocytic infiltration and gastric mucous neck cell hyperplasia in transgenic mice. Cancer Res. (2003) 63:2005–9.

PubMed Abstract | Google Scholar

39. Shi C, Pan FC, Kim JN, Washington MK, Padmanabhan C, Meyer CT, et al. Differential cell susceptibilities to krasG12D in the setting of obstructive chronic pancreatitis. Cell Mol Gastroenterol Hepatol. (2019) 8:579–94. doi: 10.1016/j.jcmgh.2019.07.001

PubMed Abstract | Crossref Full Text | Google Scholar

40. Singh K, Pruski M, Bland R, Younes M, Guha S, Thosani N, et al. Kras mutation rate precisely orchestrates ductal derived pancreatic intraepithelial neoplasia and pancreatic cancer. Lab Invest. (2021) 101:177–92. doi: 10.1038/s41374-020-00490-5

PubMed Abstract | Crossref Full Text | Google Scholar

41. Bailey JM, Hendley AM, Lafaro KJ, Pruski MA, Jones NC, Alsina J, et al. p53 mutations cooperate with oncogenic Kras to promote adenocarcinoma from pancreatic ductal cells. Oncogene. (2016) 35:4282–8. doi: 10.1038/onc.2015.441

PubMed Abstract | Crossref Full Text | Google Scholar

42. Philip B, Roland CL, Daniluk J, Liu Y, Chatterjee D, Gomez SB, et al. A high-fat diet activates oncogenic Kras and COX2 to induce development of pancreatic ductal adenocarcinoma in mice. Gastroenterology. (2013) 145:1449–58. doi: 10.1053/j.gastro.2013.08.018

PubMed Abstract | Crossref Full Text | Google Scholar

43. Aguirre AJ, Bardeesy N, Sinha M, Lopez L, Tuveson DA, Horner J, et al. Activated Kras and Ink4a/Arf deficiency cooperate to produce metastatic pancreatic ductal adenocarcinoma. Genes Dev. (2003) 17:3112–26. doi: 10.1101/gad.1158703

PubMed Abstract | Crossref Full Text | Google Scholar

44. Shi G, Zhu L, Sun Y, Bettencourt R, Damsz B, Hruban RH, et al. Loss of the acinar-restricted transcription factor Mist1 accelerates Kras-induced pancreatic intraepithelial neoplasia. Gastroenterology. (2009) 136:1368–78. doi: 10.1053/j.gastro.2008.12.066

PubMed Abstract | Crossref Full Text | Google Scholar

45. Kopp JL, von Figura G, Mayes E, Liu F-F, Dubois CL, Morris JP, et al. Identification of Sox9-dependent acinar-to-ductal reprogramming as the principal mechanism for initiation of pancreatic ductal adenocarcinoma. Cancer Cell. (2012) 22:737–50. doi: 10.1016/j.ccr.2012.10.025

PubMed Abstract | Crossref Full Text | Google Scholar

46. Zhu L, Shi G, Schmidt CM, Hruban RH, Konieczny SF. Acinar cells contribute to the molecular heterogeneity of pancreatic intraepithelial neoplasia. Am J Pathol. (2007) 171:263–73. doi: 10.2353/ajpath.2007.061176

PubMed Abstract | Crossref Full Text | Google Scholar

47. Means AL, Meszoely IM, Suzuki K, Miyamoto Y, Rustgi AK, Coffey RJ, et al. Pancreatic epithelial plasticity mediated by acinar cell transdifferentiation and generation of nestin-positive intermediates. Development. (2005) 132:3767–76. doi: 10.1242/dev.01925

PubMed Abstract | Crossref Full Text | Google Scholar

48. Ray KC, Bell KM, Yan J, Gu G, Chung CH, Washington MK, et al. Epithelial tissues have varying degrees of susceptibility to Kras(G12D)-initiated tumorigenesis in a mouse model. PloS One. (2011) 6:e16786. doi: 10.1371/journal.pone.0016786

PubMed Abstract | Crossref Full Text | Google Scholar

49. Maitra A, Hruban RH. Pancreatic cancer. Annu Rev Pathol. (2008) 3:157–88. doi: 10.1146/annurev.pathmechdis.3.121806.154305

PubMed Abstract | Crossref Full Text | Google Scholar

50. Beer RL, Parsons MJ, Rovira M. Centroacinar cells: At the center of pancreas regeneration. Dev Biol. (2016) 413:8–15. doi: 10.1016/j.ydbio.2016.02.027

PubMed Abstract | Crossref Full Text | Google Scholar

51. Lynn FC, Smith SB, Wilson ME, Yang KY, Nekrep N, German MS. Sox9 coordinates a transcriptional network in pancreatic progenitor cells. Proc Natl Acad Sci U.S.A. (2007) 104:10500–5. doi: 10.1073/pnas.0704054104

PubMed Abstract | Crossref Full Text | Google Scholar

52. Seymour PA, Freude KK, Tran MN, Mayes EE, Jensen J, Kist R, et al. SOX9 is required for maintenance of the pancreatic progenitor cell pool. Proc Natl Acad Sci U.S.A. (2007) 104:1865–70. doi: 10.1073/pnas.0609217104

PubMed Abstract | Crossref Full Text | Google Scholar

53. Shih HP, Kopp JL, Sandhu M, Dubois CL, Seymour PA, Grapin-Botton A, et al. A Notch-dependent molecular circuitry initiates pancreatic endocrine and ductal cell differentiation. Development. (2012) 139:2488–99. doi: 10.1242/dev.078634

PubMed Abstract | Crossref Full Text | Google Scholar

54. Shroff S, Rashid A, Wang H, Katz MH, Abbruzzese JL, Fleming JB, et al. SOX9: a useful marker for pancreatic ductal lineage of pancreatic neoplasms. Hum Pathol. (2014) 45:456–63. doi: 10.1016/j.humpath.2013.10.008

PubMed Abstract | Crossref Full Text | Google Scholar

55. Li C, Heidt DG, Dalerba P, Burant CF, Zhang L, Adsay V, et al. Identification of pancreatic cancer stem cells. Cancer Res. (2007) 67:1030–7. doi: 10.1158/0008-5472.CAN-06-2030

PubMed Abstract | Crossref Full Text | Google Scholar

56. Rasheed ZA, Yang J, Wang Q, Kowalski J, Freed I, Murter C, et al. Prognostic significance of tumorigenic cells with mesenchymal features in pancreatic adenocarcinoma. J Natl Cancer Inst. (2010) 102:340–51. doi: 10.1093/jnci/djp535

PubMed Abstract | Crossref Full Text | Google Scholar

57. Olempska M, Eisenach PA, Ammerpohl O, Ungefroren H, Fandrich F, Kalthoff H. Detection of tumor stem cell markers in pancreatic carcinoma cell lines. Hepatobiliary Pancreat Dis Int. (2007) 6:92–7.

PubMed Abstract | Google Scholar

58. Hermann PC, Huber SL, Herrler T, Aicher A, Ellwart JW, Guba M, et al. Distinct populations of cancer stem cells determine tumor growth and metastatic activity in human pancreatic cancer. Cell Stem Cell. (2007) 1:313–23. doi: 10.1016/j.stem.2007.06.002

PubMed Abstract | Crossref Full Text | Google Scholar

59. Reya T, Morrison SJ, Clarke MF, Weissman IL. Stem cells, cancer, and cancer stem cells. Nature. (2001) 414:105–11. doi: 10.1038/35102167

PubMed Abstract | Crossref Full Text | Google Scholar

60. Lonardo E, Hermann PC, Mueller M-T, Huber S, Balic A, Miranda-Lorenzo I, et al. Nodal/Activin signaling drives self-renewal and tumorigenicity of pancreatic cancer stem cells and provides a target for combined drug therapy. Cell Stem Cell. (2011) 9:433–46. doi: 10.1016/j.stem.2011.10.001

PubMed Abstract | Crossref Full Text | Google Scholar

61. Wong DJ, Liu H, Ridky TW, Cassarino D, Segal E, Chang HY. Module map of stem cell genes guides creation of epithelial cancer stem cells. Cell Stem Cell. (2008) 2:333–44. doi: 10.1016/j.stem.2008.02.009

PubMed Abstract | Crossref Full Text | Google Scholar

62. Ben-Porath I, Thomson MW, Carey VJ, Ge R, Bell GW, Regev A, et al. An embryonic stem cell-like gene expression signature in poorly differentiated aggressive human tumors. Nat Genet. (2008) 40:499–507. doi: 10.1038/ng.127

PubMed Abstract | Crossref Full Text | Google Scholar

63. Puri S, Folias AE, Hebrok M. Plasticity and dedifferentiation within the pancreas: development, homeostasis, and disease. Cell Stem Cell. (2015) 16:18–31. doi: 10.1016/j.stem.2014.11.001

PubMed Abstract | Crossref Full Text | Google Scholar

64. Aguilar-Valles A, Haji N, De Gregorio D, Matta-Camacho E, Eslamizade MJ, Popic J, et al. Translational control of depression-like behavior via phosphorylation of eukaryotic translation initiation factor 4E. Nat Commun. (2018) 9:2459. doi: 10.1038/s41467-018-04883-5

PubMed Abstract | Crossref Full Text | Google Scholar

65. De Haro-Hernández R, Cabrera-Muñoz L, Méndez JD. Regeneration of beta-cells and neogenesis from small ducts or acinar cells promote recovery of endocrine pancreatic function in alloxan-treated rats. Arch Med Res. (2004) 35:114–20. doi: 10.1016/j.arcmed.2003.10.001

PubMed Abstract | Crossref Full Text | Google Scholar

66. Furuyama K, Chera S, van Gurp L, Oropeza D, Ghila L, Damond N, et al. Diabetes relief in mice by glucose-sensing insulin-secreting human α-cells. Nature. (2019) 567:43–8. doi: 10.1038/s41586-019-0942-8

PubMed Abstract | Crossref Full Text | Google Scholar

67. Bao Q, Zhao Y, Renner A, Niess H, Seeliger H, Jauch K-W, et al. Cancer stem cells in pancreatic cancer. Cancers (Basel). (2010) 2:1629–41. doi: 10.3390/cancers2031629

PubMed Abstract | Crossref Full Text | Google Scholar

68. Rao CV, Mohammed A. New insights into pancreatic cancer stem cells. World J Stem Cells. (2015) 7:547–55. doi: 10.4252/wjsc.v7.i3.547

PubMed Abstract | Crossref Full Text | Google Scholar

69. Miranda-Lorenzo I, Dorado J, Lonardo E, Alcala S, Serrano AG, Clausell-Tormos J, et al. Intracellular autofluorescence: a biomarker for epithelial cancer stem cells. Nat Methods. (2014) 11:1161–9. doi: 10.1038/nmeth.3112

PubMed Abstract | Crossref Full Text | Google Scholar

70. Adikrisna R, Tanaka S, Muramatsu S, Aihara A, Ban D, Ochiai T, et al. Identification of pancreatic cancer stem cells and selective toxicity of chemotherapeutic agents. Gastroenterology. (2012) 143:234–245.e7. doi: 10.1053/j.gastro.2012.03.054

PubMed Abstract | Crossref Full Text | Google Scholar

71. Zhu J, Thakolwiboon S, Liu X, Zhang M, Lubman DM. Overexpression of CD90 (Thy-1) in pancreatic adenocarcinoma present in the tumor microenvironment. PloS One. (2014) 9:e115507. doi: 10.1371/journal.pone.0115507

PubMed Abstract | Crossref Full Text | Google Scholar

72. Zhang S-N, Huang F-T, Huang Y-J, Zhong W, Yu Z. Characterization of a cancer stem cell-like side population derived from human pancreatic adenocarcinoma cells. Tumori. (2010) 96:985–92. doi: 10.1177/548.6520

PubMed Abstract | Crossref Full Text | Google Scholar

73. Zhou J, Wang C-Y, Liu T, Wu B, Zhou F, Xiong J-X, et al. Persistence of side population cells with high drug efflux capacity in pancreatic cancer. World J Gastroenterol. (2008) 14:925–30. doi: 10.3748/wjg.14.925

PubMed Abstract | Crossref Full Text | Google Scholar

74. Bailey JM, Alsina J, Rasheed ZA, McAllister FM, Fu Y-Y, Plentz R, et al. DCLK1 marks a morphologically distinct subpopulation of cells with stem cell properties in preinvasive pancreatic cancer. Gastroenterology. (2014) 146:245–56. doi: 10.1053/j.gastro.2013.09.050

PubMed Abstract | Crossref Full Text | Google Scholar

75. Ijichi H, Chytil A, Gorska AE, Aakre ME, Fujitani Y, Fujitani S, et al. Aggressive pancreatic ductal adenocarcinoma in mice caused by pancreas-specific blockade of transforming growth factor-beta signaling in cooperation with active Kras expression. Genes Dev. (2006) 20:3147–60. doi: 10.1101/gad.1475506

PubMed Abstract | Crossref Full Text | Google Scholar

76. Vincent A, Herman J, Schulick R, Hruban RH, Goggins M. Pancreatic cancer. Lancet. (2011) 378:607–20. doi: 10.1016/S0140-6736(10)62307-0

PubMed Abstract | Crossref Full Text | Google Scholar

77. Jones S, Zhang X, Parsons DW, Lin JC-H, Leary RJ, Angenendt P, et al. Core signaling pathways in human pancreatic cancers revealed by global genomic analyses. Science. (2008) 321:1801–6. doi: 10.1126/science.1164368

PubMed Abstract | Crossref Full Text | Google Scholar

78. Park W, Chawla A, O’Reilly EM. Pancreatic cancer: A review. JAMA. (2021) 326:851–62. doi: 10.1001/jama.2021.13027

PubMed Abstract | Crossref Full Text | Google Scholar

79. Shi C, Klein AP, Goggins M, Maitra A, Canto M, Ali S, et al. Increased prevalence of precursor lesions in familial pancreatic cancer patients. Clin Cancer Res. (2009) 15:7737–43. doi: 10.1158/1078-0432.CCR-09-0004

PubMed Abstract | Crossref Full Text | Google Scholar

80. Goldstein AM, Fraser MC, Struewing JP, Hussussian CJ, Ranade K, Zametkin DP, et al. Increased risk of pancreatic cancer in melanoma-prone kindreds with p16INK4 mutations. N Engl J Med. (1995) 333:970–4. doi: 10.1056/NEJM199510123331504

PubMed Abstract | Crossref Full Text | Google Scholar

81. Klein AP, Hruban RH, Brune KA, Petersen GM, Goggins M. Familial pancreatic cancer. Cancer J. (2001) 7:266–73.

Google Scholar

82. van der Heijden MS, Yeo CJ, Hruban RH, Kern SE. Fanconi anemia gene mutations in young-onset pancreatic cancer. Cancer Res. (2003) 63:2585–8.

Google Scholar

83. Jones S, Hruban RH, Kamiyama M, Borges M, Zhang X, Parsons DW, et al. Exomic sequencing identifies PALB2 as a pancreatic cancer susceptibility gene. Science. (2009) 324:217. doi: 10.1126/science.1171202

PubMed Abstract | Crossref Full Text | Google Scholar

84. Löhr M, Klöppel G, Maisonneuve P, Lowenfels AB, Lüttges J. Frequency of K-ras mutations in pancreatic intraductal neoplasias associated with pancreatic ductal adenocarcinoma and chronic pancreatitis: a meta-analysis. Neoplasia. (2005) 7:17–23. doi: 10.1593/neo.04445

PubMed Abstract | Crossref Full Text | Google Scholar

85. Murphy SJ, Hart SN, Lima JF, Kipp BR, Klebig M, Winters JL, et al. Genetic alterations associated with progression from pancreatic intraepithelial neoplasia to invasive pancreatic tumor. Gastroenterology. (2013) 145:1098–1109.e1. doi: 10.1053/j.gastro.2013.07.049

PubMed Abstract | Crossref Full Text | Google Scholar

86. Turrini O, Cano C, Legoffic A, Delpero JR, Dagorn JC, Iovanna J. Genetic alterations in precancerous pancreatic lesions and their clinical implications. Gastroenterol Clin Biol. (2009) 33:1028–1035, e1-9. doi: 10.1016/j.gcb.2009.08.007

PubMed Abstract | Crossref Full Text | Google Scholar

87. Buchholz M, Braun M, Heidenblut A, Kestler HA, Klöppel G, Schmiegel W, et al. Transcriptome analysis of microdissected pancreatic intraepithelial neoplastic lesions. Oncogene. (2005) 24:6626–36. doi: 10.1038/sj.onc.1208804

PubMed Abstract | Crossref Full Text | Google Scholar

88. Mueller S, Engleitner T, Maresch R, Zukowska M, Lange S, Kaltenbacher T, et al. Evolutionary routes and KRAS dosage define pancreatic cancer phenotypes. Nature. (2018) 554:62–8. doi: 10.1038/nature25459

PubMed Abstract | Crossref Full Text | Google Scholar

89. Thomas H. Pancreatic cancer: KRAS dosage key in PDAC. Nat Rev Gastroenterol Hepatol. (2018) 15:130. doi: 10.1038/nrgastro.2018.12

PubMed Abstract | Crossref Full Text | Google Scholar

90. Day JD, Digiuseppe JA, Yeo C, Lai-Goldman M, Anderson SM, Goodman SN, et al. Immunohistochemical evaluation of HER-2/neu expression in pancreatic adenocarcinoma and pancreatic intraepithelial neoplasms. Hum Pathol. (1996) 27:119–24. doi: 10.1016/s0046-8177(96)90364-0

PubMed Abstract | Crossref Full Text | Google Scholar

91. Liu S, Cao W, Niu Y, Luo J, Zhao Y, Hu Z, et al. Single-PanIN-seq unveils that ARID1A deficiency promotes pancreatic tumorigenesis by attenuating KRAS-induced senescence. Elife. (2021) 10:e64204. doi: 10.7554/eLife.64204

PubMed Abstract | Crossref Full Text | Google Scholar

92. Li S, Balmain A, Counter CM. A model for RAS mutation patterns in cancers: finding the sweet spot. Nat Rev Cancer. (2018) 18:767–77. doi: 10.1038/s41568-018-0076-6

PubMed Abstract | Crossref Full Text | Google Scholar

93. Ilic M, Ilic I. Epidemiology of pancreatic cancer. World J Gastroenterol. (2016) 22:9694–705. doi: 10.3748/wjg.v22.i44.9694

PubMed Abstract | Crossref Full Text | Google Scholar

94. Ben-Porath I, Weinberg RA. When cells get stressed: an integrative view of cellular senescence. J Clin Invest. (2004) 113:8–13. doi: 10.1172/JCI20663

PubMed Abstract | Crossref Full Text | Google Scholar

95. Thayer SP, di Magliano MP, Heiser PW, Nielsen CM, Roberts DJ, Lauwers GY, et al. Hedgehog is an early and late mediator of pancreatic cancer tumorigenesis. Nature. (2003) 425:851–6. doi: 10.1038/nature02009

PubMed Abstract | Crossref Full Text | Google Scholar

96. Berman DM, Karhadkar SS, Maitra A, Montes De Oca R, Gerstenblith MR, Briggs K, et al. Widespread requirement for Hedgehog ligand stimulation in growth of digestive tract tumours. Nature. (2003) 425:846–51. doi: 10.1038/nature01972

PubMed Abstract | Crossref Full Text | Google Scholar

97. Prasad NB, Biankin AV, Fukushima N, Maitra A, Dhara S, Elkahloun AG, et al. Gene expression profiles in pancreatic intraepithelial neoplasia reflect the effects of Hedgehog signaling on pancreatic ductal epithelial cells. Cancer Res. (2005) 65:1619–26. doi: 10.1158/0008-5472.CAN-04-1413

PubMed Abstract | Crossref Full Text | Google Scholar

98. Mazur PK, Einwächter H, Lee M, Sipos B, Nakhai H, Rad R, et al. Notch2 is required for progression of pancreatic intraepithelial neoplasia and development of pancreatic ductal adenocarcinoma. Proc Natl Acad Sci U.S.A. (2010) 107:13438–43. doi: 10.1073/pnas.1002423107

PubMed Abstract | Crossref Full Text | Google Scholar

99. Lee JY, Song SY, Park JY. Notch pathway activation is associated with pancreatic cancer treatment failure. Pancreatology. (2014) 14:48–53. doi: 10.1016/j.pan.2013.11.011

PubMed Abstract | Crossref Full Text | Google Scholar

100. Hidalgo-Sastre A, Brodylo RL, Lubeseder-Martellato C, Sipos B, Steiger K, Lee M, et al. Hes1 controls exocrine cell plasticity and restricts development of pancreatic ductal adenocarcinoma in a mouse model. Am J Pathol. (2016) 186:2934–44. doi: 10.1016/j.ajpath.2016.07.025

PubMed Abstract | Crossref Full Text | Google Scholar

101. Schleger C, Verbeke C, Hildenbrand R, Zentgraf H, Bleyl U. c-MYC activation in primary and metastatic ductal adenocarcinoma of the pancreas: incidence, mechanisms, and clinical significance. Mod Pathol. (2002) 15:462–9. doi: 10.1038/modpathol.3880547

PubMed Abstract | Crossref Full Text | Google Scholar

102. Pan S, Chen R, Reimel BA, Crispin DA, Mirzaei H, Cooke K, et al. Quantitative proteomics investigation of pancreatic intraepithelial neoplasia. Electrophoresis. (2009) 30:1132–44. doi: 10.1002/elps.200800752

PubMed Abstract | Crossref Full Text | Google Scholar

103. Johnson CL, Kowalik AS, Rajakumar N, Pin CL. Mist1 is necessary for the establishment of granule organization in serous exocrine cells of the gastrointestinal tract. Mech Dev. (2004) 121:261–72. doi: 10.1016/j.mod.2004.01.003

PubMed Abstract | Crossref Full Text | Google Scholar

104. Ren B, Cui M, Yang G, Wang H, Feng M, You L, et al. Tumor microenvironment participates in metastasis of pancreatic cancer. Mol Cancer. (2018) 17:108. doi: 10.1186/s12943-018-0858-1

PubMed Abstract | Crossref Full Text | Google Scholar

105. Zhao J, Chen X, Herjan T, Li X. The role of interleukin-17 in tumor development and progression. J Exp Med. (2020) 217:e20190297. doi: 10.1084/jem.20190297

PubMed Abstract | Crossref Full Text | Google Scholar

106. Wu Y, Konaté MM, Lu J, Makhlouf H, Chuaqui R, Antony S, et al. IL-4 and IL-17A cooperatively promote hydrogen peroxide production, oxidative DNA damage, and upregulation of dual oxidase 2 in human colon and pancreatic cancer cells. J Immunol. (2019) 203:2532–44. doi: 10.4049/jimmunol.1800469

PubMed Abstract | Crossref Full Text | Google Scholar

107. McAllister F, Bailey JM, Alsina J, Nirschl CJ, Sharma R, Fan H, et al. Oncogenic Kras activates a hematopoietic-to-epithelial IL-17 signaling axis in preinvasive pancreatic neoplasia. Cancer Cell. (2014) 25:621–37. doi: 10.1016/j.ccr.2014.03.014

PubMed Abstract | Crossref Full Text | Google Scholar

108. Wang X, Chen H, Jiang R, Hong X, Peng J, Chen W, et al. Interleukin-17 activates and synergizes with the notch signaling pathway in the progression of pancreatic ductal adenocarcinoma. Cancer Lett. (2021) 508:1–12. doi: 10.1016/j.canlet.2021.03.003

PubMed Abstract | Crossref Full Text | Google Scholar

109. Shen F, Ruddy MJ, Plamondon P, Gaffen SL. Cytokines link osteoblasts and inflammation: microarray analysis of interleukin-17- and TNF-alpha-induced genes in bone cells. J Leukoc Biol. (2005) 77:388–99. doi: 10.1189/jlb.0904490

PubMed Abstract | Crossref Full Text | Google Scholar

110. Zhang Y, Zoltan M, Riquelme E, Xu H, Sahin I, Castro-Pando S, et al. Immune cell production of interleukin 17 induces stem cell features of pancreatic intraepithelial neoplasia cells. Gastroenterology. (2018) 155:210–223.e3. doi: 10.1053/j.gastro.2018.03.041

PubMed Abstract | Crossref Full Text | Google Scholar

111. Seymour PA. Sox9: a master regulator of the pancreatic program. Rev Diabetes Stud. (2014) 11:51–83. doi: 10.1900/RDS.2014.11.51

PubMed Abstract | Crossref Full Text | Google Scholar

112. Geng Y, Fan J, Chen L, Zhang C, Qu C, Qian L, et al. A notch-dependent inflammatory feedback circuit between macrophages and cancer cells regulates pancreatic cancer metastasis. Cancer Res. (2021) 81:64–76. doi: 10.1158/0008-5472.CAN-20-0256

PubMed Abstract | Crossref Full Text | Google Scholar

113. Fukuda A, Chiba T. Sox9-dependent acinar-to-ductal reprogramming is critical for pancreatic intraepithelial neoplasia formation. Gastroenterology. (2013) 145:904–7. doi: 10.1053/j.gastro.2013.08.028

PubMed Abstract | Crossref Full Text | Google Scholar

114. Hatakeyama S. Early evidence for the role of TRIM29 in multiple cancer models. Expert Opin Ther Targets. (2016) 20:767–70. doi: 10.1517/14728222.2016.1148687

PubMed Abstract | Crossref Full Text | Google Scholar

115. Wang L, Yang H, Zamperone A, Diolaiti D, Palmbos PL, Abel EV, et al. ATDC is required for the initiation of KRAS-induced pancreatic tumorigenesis. Genes Dev. (2019) 33:641–55. doi: 10.1101/gad.323303.118

PubMed Abstract | Crossref Full Text | Google Scholar

116. May R, Sureban SM, Lightfoot SA, Hoskins AB, Brackett DJ, Postier RG, et al. Identification of a novel putative pancreatic stem/progenitor cell marker DCAMKL-1 in normal mouse pancreas. Am J Physiol Gastrointest Liver Physiol. (2010) 299:G303–310. doi: 10.1152/ajpgi.00146.2010

PubMed Abstract | Crossref Full Text | Google Scholar

117. Nakanishi Y, Seno H, Fukuoka A, Ueo T, Yamaga Y, Maruno T, et al. Dclk1 distinguishes between tumor and normal stem cells in the intestine. Nat Genet. (2013) 45:98–103. doi: 10.1038/ng.2481

PubMed Abstract | Crossref Full Text | Google Scholar

118. Vega KJ, May R, Sureban SM, Lightfoot SA, Qu D, Reed A, et al. Identification of the putative intestinal stem cell marker doublecortin and CaM kinase-like-1 in Barrett’s esophagus and esophageal adenocarcinoma. J Gastroenterol Hepatol. (2012) 27:773–80. doi: 10.1111/j.1440-1746.2011.06928.x

PubMed Abstract | Crossref Full Text | Google Scholar

119. Sureban SM, May R, Ramalingam S, Subramaniam D, Natarajan G, Anant S, et al. Selective blockade of DCAMKL-1 results in tumor growth arrest by a Let-7a MicroRNA-dependent mechanism. Gastroenterology. (2009) 137:649–659, 659.e1–2. doi: 10.1053/j.gastro.2009.05.004

PubMed Abstract | Crossref Full Text | Google Scholar

120. Wang Y, Yi J, Liu X. Roles of Dclk1 in the pathogenesis, diagnosis, prognosis and treatment of pancreatic cancer: A review. Expert Rev Gastroenterol Hepatol. (2022) 16:13–9. doi: 10.1080/17474124.2022.2020643

PubMed Abstract | Crossref Full Text | Google Scholar

121. Westphalen CB, Takemoto Y, Tanaka T, Macchini M, Jiang Z, Renz BW, et al. Dclk1 defines quiescent pancreatic progenitors that promote injury-induced regeneration and tumorigenesis. Cell Stem Cell. (2016) 18:441–55. doi: 10.1016/j.stem.2016.03.016

PubMed Abstract | Crossref Full Text | Google Scholar

122. Kato H, Tateishi K, Fujiwara H, Ijichi H, Yamamoto K, Nakatsuka T, et al. Deletion of histone methyltransferase G9a suppresses mutant kras-driven pancreatic carcinogenesis. Cancer Genomics Proteomics. (2020) 17:695–705. doi: 10.21873/cgp.20224

PubMed Abstract | Crossref Full Text | Google Scholar

123. Krishnamurthy K, Sriganeshan V. Pancreatic intraepithelial neoplasia (PanIN) as a morphologic marker of pancreatobiliary type of ampullary carcinoma. Pathol Oncol Res. (2020) 26:1735–9. doi: 10.1007/s12253-019-00754-6

PubMed Abstract | Crossref Full Text | Google Scholar

124. Hosoda W, Chianchiano P, Griffin JF, Pittman ME, Brosens LA, Noë M, et al. Genetic analyses of isolated high-grade pancreatic intraepithelial neoplasia (HG-PanIN) reveal paucity of alterations in TP53 and SMAD4. J Pathol. (2017) 242:16–23. doi: 10.1002/path.4884

PubMed Abstract | Crossref Full Text | Google Scholar

125. Kanda M, Sadakari Y, Borges M, Topazian M, Farrell J, Syngal S, et al. Mutant TP53 in duodenal samples of pancreatic juice from patients with pancreatic cancer or high-grade dysplasia. Clin Gastroenterol Hepatol. (2013) 11:719–730.e5. doi: 10.1016/j.cgh.2012.11.016

PubMed Abstract | Crossref Full Text | Google Scholar

126. Eshleman JR, Norris AL, Sadakari Y, Debeljak M, Borges M, Harrington C, et al. KRAS and guanine nucleotide-binding protein mutations in pancreatic juice collected from the duodenum of patients at high risk for neoplasia undergoing endoscopic ultrasound. Clin Gastroenterol Hepatol. (2015) 13:963–969.e4. doi: 10.1016/j.cgh.2014.11.028

PubMed Abstract | Crossref Full Text | Google Scholar

127. Maitra A, Adsay NV, Argani P, Iacobuzio-Donahue C, De Marzo A, Cameron JL, et al. Multicomponent analysis of the pancreatic adenocarcinoma progression model using a pancreatic intraepithelial neoplasia tissue microarray. Mod Pathol. (2003) 16:902–12. doi: 10.1097/01.MP.0000086072.56290.FB

PubMed Abstract | Crossref Full Text | Google Scholar

128. Pan S, Brentnall TA, Kelly K, Chen R. Tissue proteomics in pancreatic cancer study: discovery, emerging technologies, and challenges. Proteomics. (2013) 13:710–21. doi: 10.1002/pmic.201200319

PubMed Abstract | Crossref Full Text | Google Scholar

129. Hruban RH, Wilentz RE, Goggins M, Offerhaus GJ, Yeo CJ, Kern SE. Pathology of incipient pancreatic cancer. Ann Oncol. (1999) 10 Suppl 4:9–11.

Google Scholar

130. Hruban RH, Goggins M, Parsons J, Kern SE. Progression model for pancreatic cancer. Clin Cancer Res. (2000) 6:2969–72.

Google Scholar

131. Notta F, Chan-Seng-Yue M, Lemire M, Li Y, Wilson GW, Connor AA, et al. Erratum: A renewed model of pancreatic cancer evolution based on genomic rearrangement patterns. Nature. (2017) 542:124. doi: 10.1038/nature20164

PubMed Abstract | Crossref Full Text | Google Scholar

132. Qiu W, Sahin F, Iacobuzio-Donahue CA, Garcia-Carracedo D, Wang WM, Kuo C-Y, et al. Disruption of p16 and activation of Kras in pancreas increase ductal adenocarcinoma formation and metastasis in vivo. Oncotarget. (2011) 2:862–73. doi: 10.18632/oncotarget.357

PubMed Abstract | Crossref Full Text | Google Scholar

133. Zińczuk J, Zaręba K, Guzińska-Ustymowicz K, Kędra B, Kemona A, Pryczynicz A. p16, p21, and p53 proteins play an important role in development of pancreatic intraepithelial neoplastic. Ir J Med Sci. (2018) 187:629–37. doi: 10.1007/s11845-018-1751-z

PubMed Abstract | Crossref Full Text | Google Scholar

134. Vogelstein B, Lane D, Levine AJ. Surfing the p53 network. Nature. (2000) 408:307–10. doi: 10.1038/35042675

PubMed Abstract | Crossref Full Text | Google Scholar

135. Brosh R, Rotter V. When mutants gain new powers: news from the mutant p53 field. Nat Rev Cancer. (2009) 9:701–13. doi: 10.1038/nrc2693

PubMed Abstract | Crossref Full Text | Google Scholar

136. Kommalapati A, Tella SH, Goyal G, Ma WW, Mahipal A. Contemporary management of localized resectable pancreatic cancer. Cancers (Basel). (2018) 10:24. doi: 10.3390/cancers10010024

PubMed Abstract | Crossref Full Text | Google Scholar

137. Groot VP, Rezaee N, Wu W, Cameron JL, Fishman EK, Hruban RH, et al. Patterns, timing, and predictors of recurrence following pancreatectomy for pancreatic ductal adenocarcinoma. Ann Surg. (2018) 267:936–45. doi: 10.1097/SLA.0000000000002234

PubMed Abstract | Crossref Full Text | Google Scholar

138. Singhi AD, Wood LD. Early detection of pancreatic cancer using DNA-based molecular approaches. Nat Rev Gastroenterol Hepatol. (2021) 18:457–68. doi: 10.1038/s41575-021-00470-0

PubMed Abstract | Crossref Full Text | Google Scholar

139. Childs EJ, Mocci E, Campa D, Bracci PM, Gallinger S, Goggins M, et al. Common variation at 2p13.3, 3q29, 7p13 and 17q25.1 associated with susceptibility to pancreatic cancer. Nat Genet. (2015) 47:911–6. doi: 10.1038/ng.3341

PubMed Abstract | Crossref Full Text | Google Scholar

140. Sausen M, Phallen J, Adleff V, Jones S, Leary RJ, Barrett MT, et al. Clinical implications of genomic alterations in the tumour and circulation of pancreatic cancer patients. Nat Commun. (2015) 6:7686. doi: 10.1038/ncomms8686

PubMed Abstract | Crossref Full Text | Google Scholar

141. Melo SA, Luecke LB, Kahlert C, Fernandez AF, Gammon ST, Kaye J, et al. Glypican-1 identifies cancer exosomes and detects early pancreatic cancer. Nature. (2015) 523:177–82. doi: 10.1038/nature14581

PubMed Abstract | Crossref Full Text | Google Scholar

142. Pietryga JA, Morgan DE. Imaging preoperatively for pancreatic adenocarcinoma. J Gastrointest Oncol. (2015) 6:343–57. doi: 10.3978/j.issn.2078-6891.2015.024

PubMed Abstract | Crossref Full Text | Google Scholar

143. Koelblinger C, Ba-Ssalamah A, Goetzinger P, Puchner S, Weber M, Sahora K, et al. Gadobenate dimeglumine-enhanced 3.0-T MR imaging versus multiphasic 64-detector row CT: prospective evaluation in patients suspected of having pancreatic cancer. Radiology. (2011) 259:757–66. doi: 10.1148/radiol.11101189

PubMed Abstract | Crossref Full Text | Google Scholar

144. Yamashita Y, Kitano M, Ashida R. Value of endoscopy for early diagnosis of pancreatic carcinoma. Dig Endosc. (2020) 32:27–36. doi: 10.1111/den.13467

PubMed Abstract | Crossref Full Text | Google Scholar

145. Satoh T, Kikuyama M, Kawaguchi S, Kanemoto H, Muro H, Hanada K. Acute pancreatitis-onset carcinoma in situ of the pancreas with focal fat replacement diagnosed using serial pancreatic-juice aspiration cytologic examination (SPACE). Clin J Gastroenterol. (2017) 10:541–5. doi: 10.1007/s12328-017-0776-6

PubMed Abstract | Crossref Full Text | Google Scholar

146. Kuruma S, Kikuyama M, Chiba K, Yoshimoto K, Kamisawa T, Honda G, et al. Carcinoma in situ of the pancreas with pancreatic duct stricture persistent for 4 years diagnosed by serial pancreatic juice aspiration cytologic examination (SPACE). Clin J Gastroenterol. (2020) 13:443–7. doi: 10.1007/s12328-019-01065-8

PubMed Abstract | Crossref Full Text | Google Scholar

147. Kikuyama M, Kamisawa T, Kuruma S, Chiba K, Kawaguchi S, Terada S, et al. Early diagnosis to improve the poor prognosis of pancreatic cancer. Cancers (Basel). (2018) 10:48. doi: 10.3390/cancers10020048

PubMed Abstract | Crossref Full Text | Google Scholar

148. Hanada K, Amano H, Abe T. Early diagnosis of pancreatic cancer: Current trends and concerns. Ann Gastroenterol Surg. (2017) 1:44–51. doi: 10.1002/ags3.12004

PubMed Abstract | Crossref Full Text | Google Scholar

149. Iiboshi T, Hanada K, Fukuda T, Yonehara S, Sasaki T, Chayama K. Value of cytodiagnosis using endoscopic nasopancreatic drainage for early diagnosis of pancreatic cancer: establishing a new method for the early detection of pancreatic carcinoma in situ. Pancreas. (2012) 41:523–9. doi: 10.1097/MPA.0b013e31823c0b05

PubMed Abstract | Crossref Full Text | Google Scholar

150. Nakahodo J, Kikuyama M, Nojiri S, Chiba K, Yoshimoto K, Kamisawa T, et al. Focal parenchymal atrophy of pancreas: An important sign of underlying high-grade pancreatic intraepithelial neoplasia without invasive carcinoma, i.e., carcinoma in situ. Pancreatology. (2020) 20:1689–97. doi: 10.1016/j.pan.2020.09.020

PubMed Abstract | Crossref Full Text | Google Scholar

151. Wang W, Shpaner A, Krishna SG, Ross WA, Bhutani MS, Tamm EP, et al. Use of EUS-FNA in diagnosing pancreatic neoplasm without a definitive mass on CT. Gastrointest Endosc. (2013) 78:73–80. doi: 10.1016/j.gie.2013.01.040

PubMed Abstract | Crossref Full Text | Google Scholar

152. Guo J, Xie K, Zheng S. Molecular biomarkers of pancreatic intraepithelial neoplasia and their implications in early diagnosis and therapeutic intervention of pancreatic cancer. Int J Biol Sci. (2016) 12:292–301. doi: 10.7150/ijbs.14995

PubMed Abstract | Crossref Full Text | Google Scholar

153. Ballehaninna UK, Chamberlain RS. The clinical utility of serum CA 19-9 in the diagnosis, prognosis and management of pancreatic adenocarcinoma: An evidence based appraisal. J Gastrointest Oncol. (2012) 3:105–19. doi: 10.3978/j.issn.2078-6891.2011.021

PubMed Abstract | Crossref Full Text | Google Scholar

154. Hayashi H, Kohno T, Ueno H, Hiraoka N, Kondo S, Saito M, et al. Utility of assessing the number of mutated KRAS, CDKN2A, TP53, and SMAD4 genes using a targeted deep sequencing assay as a prognostic biomarker for pancreatic cancer. Pancreas. (2017) 46:335–40. doi: 10.1097/MPA.0000000000000760

PubMed Abstract | Crossref Full Text | Google Scholar

155. Das KK, Xiao H, Geng X, Fernandez-Del-Castillo C, Morales-Oyarvide V, Daglilar E, et al. mAb Das-1 is specific for high-risk and Malignant intraductal papillary mucinous neoplasm (IPMN). Gut. (2014) 63:1626–34. doi: 10.1136/gutjnl-2013-306219

PubMed Abstract | Crossref Full Text | Google Scholar

156. Das KK, Geng X, Brown JW, Morales-Oyarvide V, Huynh T, Pergolini I, et al. Cross validation of the monoclonal antibody das-1 in identification of high-risk mucinous pancreatic cystic lesions. Gastroenterology. (2019) 157:720–730.e2. doi: 10.1053/j.gastro.2019.05.014

PubMed Abstract | Crossref Full Text | Google Scholar

157. Das KK, Brown JW, Fernandez Del-Castillo C, Huynh T, Mills JC, Matsuda Y, et al. mAb Das-1 identifies pancreatic ductal adenocarcinoma and high-grade pancreatic intraepithelial neoplasia with high accuracy. Hum Pathol. (2021) 111:36–44. doi: 10.1016/j.humpath.2021.01.003

PubMed Abstract | Crossref Full Text | Google Scholar

158. Eser S, Messer M, Eser P, von Werder A, Seidler B, Bajbouj M, et al. In vivo diagnosis of murine pancreatic intraepithelial neoplasia and early-stage pancreatic cancer by molecular imaging. Proc Natl Acad Sci U.S.A. (2011) 108:9945–50. doi: 10.1073/pnas.1100890108

PubMed Abstract | Crossref Full Text | Google Scholar

159. Trock BJ. Application of metabolomics to prostate cancer. Urol Oncol. (2011) 29:572–81. doi: 10.1016/j.urolonc.2011.08.002

PubMed Abstract | Crossref Full Text | Google Scholar

160. Garcia E, Andrews C, Hua J, Kim HL, Sukumaran DK, Szyperski T, et al. Diagnosis of early stage ovarian cancer by 1H NMR metabonomics of serum explored by use of a microflow NMR probe. J Proteome Res. (2011) 10:1765–71. doi: 10.1021/pr101050d

PubMed Abstract | Crossref Full Text | Google Scholar

161. Bro R, Kamstrup-Nielsen MH, Engelsen SB, Savorani F, Rasmussen MA, Hansen L, et al. Forecasting individual breast cancer risk using plasma metabolomics and biocontours. Metabolomics. (2015) 11:1376–80. doi: 10.1007/s11306-015-0793-8

PubMed Abstract | Crossref Full Text | Google Scholar

162. OuYang D, Xu J, Huang H, Chen Z. Metabolomic profiling of serum from human pancreatic cancer patients using 1H NMR spectroscopy and principal component analysis. Appl Biochem Biotechnol. (2011) 165:148–54. doi: 10.1007/s12010-011-9240-0

PubMed Abstract | Crossref Full Text | Google Scholar

163. Zhang L, Jin H, Guo X, Yang Z, Zhao L, Tang S, et al. Distinguishing pancreatic cancer from chronic pancreatitis and healthy individuals by (1)H nuclear magnetic resonance-based metabonomic profiles. Clin Biochem. (2012) 45:1064–9. doi: 10.1016/j.clinbiochem.2012.05.012

PubMed Abstract | Crossref Full Text | Google Scholar

164. Wen S, Li Z, Feng J, Bai J, Lin X, Huang H. Metabonomic changes from pancreatic intraepithelial neoplasia to pancreatic ductal adenocarcinoma in tissues from rats. Cancer Sci. (2016) 107:836–45. doi: 10.1111/cas.12939

PubMed Abstract | Crossref Full Text | Google Scholar

165. Lin X, Zhan B, Wen S, Li Z, Huang H, Feng J. Metabonomic alterations from pancreatic intraepithelial neoplasia to pancreatic ductal adenocarcinoma facilitate the identification of biomarkers in serum for early diagnosis of pancreatic cancer. Mol Biosyst. (2016) 12:2883–92. doi: 10.1039/c6mb00381h

PubMed Abstract | Crossref Full Text | Google Scholar

166. Schmahl MJ, Regan DP, Rivers AC, Joesten WC, Kennedy MA. NMR-based metabolic profiling of urine, serum, fecal, and pancreatic tissue samples from the Ptf1a-Cre; LSL-KrasG12D transgenic mouse model of pancreatic cancer. PloS One. (2018) 13:e0200658. doi: 10.1371/journal.pone.0200658

PubMed Abstract | Crossref Full Text | Google Scholar

167. Esquela-Kerscher A, Slack FJ. Oncomirs - microRNAs with a role in cancer. Nat Rev Cancer. (2006) 6:259–69. doi: 10.1038/nrc1840

PubMed Abstract | Crossref Full Text | Google Scholar

168. du Rieu MC, Torrisani J, Selves J, Al Saati T, Souque A, Dufresne M, et al. MicroRNA-21 is induced early in pancreatic ductal adenocarcinoma precursor lesions. Clin Chem. (2010) 56:603–12. doi: 10.1373/clinchem.2009.137364

PubMed Abstract | Crossref Full Text | Google Scholar

169. Shi L, Middleton J, Jeon Y-J, Magee P, Veneziano D, Laganà A, et al. KRAS induces lung tumorigenesis through microRNAs modulation. Cell Death Dis. (2018) 9:219. doi: 10.1038/s41419-017-0243-9

PubMed Abstract | Crossref Full Text | Google Scholar

170. Chu NJ, Anders RA, Fertig EJ, Cao M, Hopkins AC, Keenan BP, et al. Inhibition of miR-21 regulates mutant KRAS effector pathways and intercepts pancreatic ductal adenocarcinoma development. Cancer Prev Res (Phila). (2020) 13:569–82. doi: 10.1158/1940-6207.CAPR-20-0053

PubMed Abstract | Crossref Full Text | Google Scholar

171. Gilad S, Meiri E, Yogev Y, Benjamin S, Lebanony D, Yerushalmi N, et al. Serum microRNAs are promising novel biomarkers. PloS One. (2008) 3:e3148. doi: 10.1371/journal.pone.0003148

PubMed Abstract | Crossref Full Text | Google Scholar

172. Shiotani A, Murao T, Kimura Y, Matsumoto H, Kamada T, Kusunoki H, et al. Identification of serum miRNAs as novel non-invasive biomarkers for detection of high risk for early gastric cancer. Br J Cancer. (2013) 109:2323–30. doi: 10.1038/bjc.2013.596

PubMed Abstract | Crossref Full Text | Google Scholar

173. Wang J, Chen J, Chang P, LeBlanc A, Li D, Abbruzzesse JL, et al. MicroRNAs in plasma of pancreatic ductal adenocarcinoma patients as novel blood-based biomarkers of disease. Cancer Prev Res (Phila). (2009) 2:807–13. doi: 10.1158/1940-6207.CAPR-09-0094

PubMed Abstract | Crossref Full Text | Google Scholar

174. Yu J, Li A, Hong S-M, Hruban RH, Goggins M. MicroRNA alterations of pancreatic intraepithelial neoplasias. Clin Cancer Res. (2012) 18:981–92. doi: 10.1158/1078-0432.CCR-11-2347

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: PanIN, PDAC, KRAS, cellular origin, genetic susceptibility, diagnosis

Citation: Pian L-l, Song M-h, Wang T-f, Qi L, Peng T-l and Xie K-p (2025) Identification and analysis of pancreatic intraepithelial neoplasia: opportunities and challenges. Front. Endocrinol. 15:1401829. doi: 10.3389/fendo.2024.1401829

Received: 16 March 2024; Accepted: 17 December 2024;
Published: 07 January 2025.

Edited by:

Alok Raghav, Gachon University, Republic of Korea

Reviewed by:

Ioannis Serafimidis, Biomedical Research Foundation of the Academy of Athens (BRFAA), Greece
Dacai Xu, Central People’s Hospital of Zhanjiang, China

Copyright © 2025 Pian, Song, Wang, Qi, Peng and Xie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ke-ping Xie, bWN4aWVrZXBpbmdAc2N1dC5lZHUuY24=; Tie-li Peng, cGVuZ3RsQDE2My5jb20=; Ling Qi, cWlsaW5nMTcxOEBnemhtdS5lZHUuY24=

†These authors share first authorship

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