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ORIGINAL RESEARCH article

Front. Endocrinol., 22 July 2024
Sec. Cancer Endocrinology
This article is part of the Research Topic Pathology and Genetics of Endocrine and Neuroendocrine Tumors View all 8 articles

Does the size of the neuroendocrine-carcinoma component determine the prognosis of gallbladder cancer?

Ya-Fei Hu,&#x;Ya-Fei Hu1,2†Jun-Ke Wang,&#x;Jun-Ke Wang1,2†Wen-Jie Ma,Wen-Jie Ma1,2Hai-Jie Hu,Hai-Jie Hu1,2Han-Fei Gu,Han-Fei Gu1,2Fei Liu,Fei Liu1,2Tian-Run Lv,Tian-Run Lv1,2Si-Qi Yang,Si-Qi Yang1,2Yu-Shi Dai,Yu-Shi Dai1,2Rui-Qi Zou,Rui-Qi Zou1,2Yan-Wen Jin,*Yan-Wen Jin1,2*Fu-Yu Li,*Fu-Yu Li1,2*
  • 1Department of Biliary Surgery, West China Hospital, Sichuan University, Chengdu, China
  • 2Department of Biliary Disease Research Center, West China Hospital of Sichuan University, Chengdu, China

Background: Gallbladder mixed neuroendocrine-non-neuroendocrine neoplasm generally consists of a gallbladder neuroendocrine tumor and a non-neuroendocrine component. The World Health Organization (WHO) in 2019 established a guideline requiring each component, both neuroendocrine and non-neuroendocrine, to account for a minimum of 30% of the tumor mass.

Methods: Patients after surgery resection and diagnosed at microscopy evaluation with pure gallbladder neuroendocrine carcinoma (GBNEC), gallbladder mixed adeno-neuroendocrine carcinoma (GBMANEC, GBNEC≥30%), and gallbladder carcinoma mixed with a small fraction of GBNEC (GBNEC <30%) between 2010 and 2022 at West China Hospital of Sichuan University were collated for the analyses. Demographic features, surgical variables, and tumor characteristics were evaluated for association with patients’ overall and recurrence-free survival (OS and RFS).

Results: The study included 26 GBNEC, 11 GBMANEC, 4 gallbladder squamous-cell carcinoma (GBSCC), and 7 gallbladder adenocarcinoma (GBADC) mixed with a small fraction of GBNEC. All patients had stage III or higher tumors (AJCC8th edition). The majority of included patients (79.17%) underwent curative surgical resection (R0), with only ten patients having tumoral resection margins. In the analysis comparing patients with GBNEC percentage (GBNEC≥30% vs. GBNEC<30%), the basic demographics and tumor characteristics of most patients were comparable. The prognosis of these patients was also comparable, with a median OS of 23.65 months versus 20.40 months (P=0.13) and a median RFS of 17.1 months versus 12.3 months (P=0.24). However, patients with GBADC or GBSCC mixed with GBNEC <30% had a statistically significant decreased OS and RFS (both P<0.0001)) compared with GBNEC and GBMANEC. Patients with GBNEC who exhibited advanced tumor stages and lymphovascular invasion had a higher risk of experiencing worse overall survival (OS) and recurrence-free survival (RFS). However, a 30% GBNEC component was not identified as an independent risk factor.

Conclusion: Patients with GBNEC were frequently diagnosed at advanced stages and their prognosis is poor. The 30% percentage of the GBNEC component is not related to the patient’s survival.

1 Introduction

Gallbladder neuroendocrine cancer (GBNEC) is a rare and aggressive disease that accounts for less than 0.2% of all gastrointestinal neuroendocrine cancers (13). Published medical literature reported that GBNEC had a more aggressive biological behavior and a poorer prognosis than other well-differentiated gallbladder neuroendocrine neoplasms (GBNEN) (48). The microscopy diagnosis of poorly differentiated neuroendocrine tumor cells serves as the cornerstone in the diagnosis of GBNEC (9, 10). Currently, for patients with resected GBNEC, surgical resection is the first-line treatment. The role of adjuvant therapy in the management of GBNEC is not well established.

Patients with gallbladder adenocarcinoma (GBADC) may have a tumor containing a GBNEC component on microscopy (11, 12). According to the 2019 World Health Organization (WHO) classification, if GBNEC components represent≥30% of the tumor mass, the mixed tumor is classified as gallbladder mixed adeno-neuroendocrine carcinoma (GBMANEC) (13). GBMANEC is a distinct subtype of gallbladder mixed neuroendocrine-non-neuroendocrine neoplasm (GBMiNEN), which is characterized by ≥30% GBNEC component of the tumor mass (9). Our institution has encountered cases where patients were diagnosed with GBADC or gallbladder squamous cell carcinoma with a small proportion of GBNEC (GBNEC<30%) within the tumor mass. These patients did not fulfill the diagnostic criteria for GBMiNEN as defined by the 2019 WHO classification (13). There is limited clinical evidence for these patients, as the disease incidence rate is very low.

The biological characteristics of the tumor determine the prognosis of the patient. Machairas N (14) and de Mestier L (15) concluded that in patients with mixed gastrointestinal neoplasms, the prognosis was related to the most aggressive neoplastic elements, regardless of their extension in the tumor. The WHO 2019 has defined GBMiNEN using a cut-off value of 30% (13). However, this threshold is considered inappropriate and lacks clinical support (9, 16). The aggressiveness of the tumor may not be directly related to the percentage of aggressive GBNEC elements. Published medical literature found that tumors with even a small proportion of primary GBNEC lesions may have a higher risk of developing deep infiltration or distant metastases than those without (9, 14, 16, 17). Unfortunately, due to low -incidence rate, clinical management for these patients were largely unknown. Therefore, we aim to investigate the clinicopathological features and prognosis of pure GBNEC (i.e.only the GBNEC component of the tumor mass), GBMANEC (i.e. GBNEC ≥30%) and GBADC or GBSCC, both mixed with a small fraction of GBNEC (GBNEC <30% of the tumor mass). The study also determined the factors associated with the long-term prognosis in these patients.

2 Material and methods

2.1 Study population

The research was led Department of Hepatobiliary Surgery, West China Hospital of Sichuan University. Patients after surgical resection and being pathologically diagnosed with GBNEC, GBMANEC, and GBC mixed with a small fraction of GBNEC (<30%) between 2011 and 2023 were collated for the retrospective analyses. The GBNEC and GBMANEC diagnostic criteria were based on the WHO 2019 classifications (18, 19). All included patients have been pathologically confirmed by two independent and experienced pathologists.

The study only included patients who met all the following criteria: (i) primary tumor originating from the gallbladder, (ii) diagnosis of GBNEC, and GBMANEC component were based on pathological and immunohistochemical results according to the WHO 2019 classification (19), and (iii) cases with comprehensive medical records. Cases that met any of the following criteria were excluded: (a) Neuroendocrine carcinomas originating from extrahepatic or cystic ducts or metastases from organs such as the liver, lung, or pancreas; (b) cases with incomplete medical records or missing data; (c) cases with well-differentiated neuroendocrine neoplasms (defined as a Ki-67 of <20%, according to the WHO 2019 classification); and (d) patients with distant metastases (M1).

A total of 26 cases of pure GBNEC (tumor mass consisted of GBNEC component only), eleven cases of GBMANEC, 4 cases of GBSCC mixed with a small fraction of GBNEC (GBNEC<30%), and 7 cases of GBADC mixed with a small fraction of GBNEC were included (GBNEC<30%). These enrolled patients were divided into GBNEC≥30% and GBNEC <30% cohorts according to the GBNEC percentage of the tumor mass (Figure 1). Patients with GBADC/GBSCC mixed with a small fraction of GBNEC were selected in the GBNEC <30% cohorts as the experimental group (N=11), while patients with pure GBNEC and GBMANEC were used as the control group (N=38). The study flow diagram is provided in Figure 2.

Figure 1
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Figure 1 Description and definition of gallbladder cancer mixed with GBNEC component.

Figure 2
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Figure 2 The study flow diagram.

Neuroendocrine markers, including synaptophysin (Syn), chromogranin (CgA), CD56, and Ki-67 staining index, were performed in most included cases. The following clinical information: age at diagnosis, gender, laboratory examination outcomes before the operation, type of resection (RC and ERC), and tumor stages (based on the eighth American Joint Committee on Cancer (AJCC 8th) staging system for biliary tract cancers) (20), etc. were also collected and are presented in Table 1.

Table 1
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Table 1 Clinicopathologic characteristics of groups with GBNEC<30% and GBNEC≥30%.

2.2 Definitions and follow-up

The Clavien-Dindo classification system was used to categorize all postoperative complications grades. Severe postoperative morbidity was defined as patients with postoperative mortality greater than III. The postoperative 90-day mortality was defined as operative-related death within 90 days after surgery. Cancer antigen 19-9 (CA 19-9; also known as carbohydrate antigen 19-9) is used to help differentiate between cancer of the pancreas and other conditions, as well as to monitor treatment response and recurrence. The normal range of CA 19-9 is between 0 and 37 U/mL (units/milliliter). In this study, patients were grouped into CA 19-9≥37.0 U/mL vs. CA 19-9 <37.0 U/mL (Elevated vs. Normal). The normal range of Carbohydrate antigen 125 (CA125) is between 0 and 35 U/mL (units/milliliter).In this study, patients were grouped into CA 125≥35.0 U/mL vs. <35.0 U/mL (Elevated vs. Normal).

After surgery, patients were re-evaluated monthly for the first year and then every 3 months for the following 2 years. To evaluate the surgical results and to detect possible recurrence, physical examinations, laboratory tests, and abdominal CT or MRI scans were performed. In cases where the patient could not attend the scheduled follow-up appointments, telephone interviews were conducted. All patients’ follow-up duration was defined as the date of diagnosis to the last examination date or lost follow-up. Overall survival (OS) was considered as the interval from the date of surgery to the date of death or the most recent follow-up. Recurrence-free survival (RFS) was considered as the interval from the date of surgery to recurrence or metastasis or last follow-up if recurrence did not occur during follow-up.

2.3 Surgical methods

For patients with T3N0M0 stages of the tumor (tumor liver invasion <2cm), radical cholecystectomy (RC) combined with liver resection such as IVb+V segment resection and lymph node dissection (LND) may be considered; for those patients with T3N1M0, considering that cancer cells may have metastasized along the lymphatic or Glisson system to the entire right half of the liver, in our medical center, we required right hemi hepatectomy or right anatomical hepatectomy combined with a comprehensive LND. For selected stage IV GBC (T4N0MO, T4N1M0, or TxN2M0) with a tumor invading the duodenum, stomach, pancreas, or colon if an R0 resection can be safely achieved, open surgery with multiple organ resection is adopted for these patients. The para-aortic lymph nodes (No. 16) should be rapidly frozen if there was preoperative imaging or intraoperative suspicion of tumor invasion of the surrounding tissues, such as the liver, or other adjacent organs. The presence of positive tumoral lymph nodes at level No.16 may indicate that radical surgery should be avoided. All patients included in this study underwent D2 LND, which included the celiac artery, common hepatic artery, retro-pancreatic, and hepatoduodenal ligament lymph nodes. Extended radical cholecystectomy (ERC) included patients who underwent right hemi hepatectomy, right anatomical hepatectomy, multiple organ resection, or extended LND.

2.4 Ethical approval

This study was conducted in accordance with the Declaration of Helsinki and in compliance with the study protocol and ethical guidelines for medical and health research involving human subjects. The study was approved by the institutional review committee of West China Hospital, Sichuan University (approval code 2021-445). A summary of the protocol of the study is available on the website of the hospital.

2.5 Statistical analysis

Tumor parameters and patient demographics were presented as mean (SD) for parametric continuous data and median (IQR) for non-parametric data. Categorical data were presented as percentages (N, %). Fisher’s exact test, chi-squared test, or independent t-test were used to detect significant differences between groups, as appropriate.

OS and RFS were estimated using the Kaplan-Meier method. Univariate analysis was performed to evaluate the predictive value of clinicopathological factors. In the univariate analysis, characteristics showing significance at P < 0.05 underwent multivariate analysis to uncover independent variables associated with OS and RFS. Hazard ratios (HR) with 95% confidence intervals (CI) were calculated from the multivariable analysis. Patients were stratified according to tumor diagnosis or the percentage of GBNEC (GBNEC ≥30% vs. <30%) for subgroup analyses.

All statistical tests performed were two-tailed, and a P value of less than 0.05 was considered statistically significant. All statistical analyses and graphs were performed using R software version 4.1.0.

3 Results

3.1 Patients and tumor characteristics

Table 1 summarizes the characteristics of the patients included in the study. There were 48 patients (median [SD] age, 55.35 [10.08] years), consisting of 26 patients (54.2%) with pure GBNEC, 11 patients (22.9%) with GBMANEC, and 4 cases of GBSCC and 7 cases of GBADC mixed with a small fraction of GBNEC (8.3% and 14.6%, respectively). The gender distribution of the patients was 16 males (33.3%) and 32 females (66.7%). All patients were diagnosed with stage III or higher tumors (AJCC 8th edition) according to postoperative pathology. Most patients (38 of 48, 79.17%) underwent curative surgical resection (R0), while ten patients had positive tumoral resection margin (R1).

In subgroup analyses of GBNEC percentage (GBNEC≥30% and GBNEC<30%), most patients’ basic demographics and tumor characteristics were comparable, except for patients in the GBNEC<30% group, who had a lower rate of ERC (45.5% vs. 83.8%, P=0.029). Immunohistochemical staining analysis revealed that most tumors were positive for CgA (87.5%), followed by Syn (77.1%) and CD56 (64.6%). In addition, the median Ki-67 index was calculated for the whole cohort (median [SD], 53.60[22.44]). Patients with GBNEC≥30% and GBNEC<30% also had similar immunohistochemical staining results, except for a lower Syn positive rate in the GBNEC<30% group (63.6% vs. 94.6%, P=0.027).

3.2 Long-term outcomes

All patients in the GBNEC component <30% group experienced a recurrence after surgery. The most frequent site was the liver (90.9%) followed by the peritoneum. Most patients in the GBNEC component ≥30% group also had a recurrence in the liver (86.5%), followed by the peritoneum (5.4%), Lt. subclavian lymph node (5.4%), and bone (2.7%). The median overall survival (mOS) and recurrence-free survival (mRFS) for all 48 patients with GBNEC components were 23.13 months and 14.60 months, respectively, as shown in Figures 3A, B. The prognosis of patients with GBNEC≥30% and GBNEC<30% was comparable, with a median OS of 23.65 months versus 20.40 months (P=0.13) and a median RFS of 17.1 months versus 12.3 months (P=0.24), as is shown in Figures 3C, D. No significant differences were observed between patients with pure GBNEC and those with mixed GBNEC (GBMANEC, GBSCC/GBADC mixed with GBNEC<30%) in terms of mOS (21.00 versus 23.13 months, P=0.78) and mRFS (16.30 versus 14.60 months, P=0.46) (Figures 3E, F). However, a significant prognostic difference was found in OS of patients with pure GBNEC, GBMANEC, GBADC mixed with a small fraction of GBNEC, and GBSCC mixed with a small fraction of GBNEC, with mOS of 21.00, 23.65, 20.40, and 6.205 months, respectively (P<0.0001). The mRFS among patients with pure GBNEC, GBMANEC, and GBSCC mixed with a small fraction of GBNEC were also different. The mRFS periods for these groups were 16.30, 20.20, and 4.855 months, respectively (P<0.0001) (Figures 3G, H).

Figure 3
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Figure 3 Overall and Recurrence-free survival (OS and RFS) for 48 patients with gallbladder neuroendocrine carcinoma (GBNEC) component. (A) OS for 48 patients with GBNEC component; (B) RFS for 48 patients with GBNEC component; (C) OS for patients with GBNEC component<30% (N=11) vs. ≥30% (N=37) (D) RFS for patients with GBNEC component<30% (N=11) vs. ≥30% (N=37); (E) OS for patients with pure GBNEC (N=26) vs. mixed GBNEC (N=22); (F) RFS for patients with pure GBNEC (N=26) vs. mixed GBNEC (N=22); (G) OS for patients with different types of gallbladder cancer; (H). RFS for patients with different types of gallbladder cancer.

3.3 Risk factors of patients’ long-term overall survival and recurrence-free survival

Univariate Cox analysis revealed that advanced tumor pathological AJCC staging (P<0.0001), presence of microscopic perineural invasion (P=0.005), lymphovascular invasion (P=0.001), with positive lymph nodes (P=0.001) were significantly associated with decreased OS. However, the percentage of GBNEC in the tumor mass (≥30% versus <30%) was not found to be statistically associated with OS (P=0.141) or RFS (P=0.248). The tumor diagnosis mixed with GBNEC or pure GBNEC also had no significant impact on patients’ OS (P=0.782) and RFS (P=0.464). Multivariable analysis showed that advanced pathological AJCC staging (HR=2.76, 95%CI (1.13-6.74), P=0.025) and tumor presence of lymphovascular invasion (HR=8.72,95%CI (2.02-37.58), P=0.004) were independent risk factors for worse OS (Table 2). In addition, univariable analyses of RFS for included patients found type of resection (RC vs. ERC) (P=0.056), surgical resection margins (R1 vs. R0) (P=0.001)), advanced tumor pathological AJCC staging (P<0.0001), tumor presence of microscopic perineural invasion (P=0.001), lymphovascular invasion (P<0.0001), with positive lymph nodes (P=0.001) were associated with inferior RFS. While after multivariable analysis we found advanced pathological AJCC staging (HR=4.25,95%CI (1.95-9.26), P<0.0001) and tumor presence of lymphovascular invasion (HR=3.34, 95%CI (1.12-9.94), P=0.031) were independently associated with worse RFS (Table 3).

Table 2
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Table 2 Univariable and multivariable Cox regression analyses of predicting overall survival for included patients with resected GBNEC component.

Table 3
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Table 3 Univariable and multivariable Cox regression analyses of predicting Recurrence-free survival for included patients with resected GBNEC component.

4 Discussion

In this study, we included patients with pure GBNEC, GBMANEC, and GBC mixed with a small fraction of GBNEC (GBNEC component of the tumor mass<30%) to investigate the clinicopathological features and long-term prognosis difference of these neoplasms, and we noticed patients with GBC mixed with a small fraction of GBNEC (GBNEC<30%) showed a prognosis as dismal as patients with pure GBNEC and/or GBMANEC (GBNEC component of the tumor mass≥30%) in the present study.

Epithelial neoplasms with co-existing neuroendocrine and non-neuroendocrine histology (each representing from 1% to 99% of the tumor mass) have been described in almost all organs (21). These mixed neuroendocrine/non-neuroendocrine neoplasms have different definitions over time. In 2010, mixed neoplasms of the gastrointestinal and pancreatic tract containing neuroendocrine and non-neuroendocrine components in at least 30% of the tumor mass were classified separately by the World Health Organization and named MiNEN (19, 22, 23). In 2017, although the WHO also renamed MANEC as MiNEN which expanded the diagnostic range of mixed neuroendocrine tumors, the 30% threshold for each component has been maintained (18, 24). The rationale behind the 30% threshold is that a lesser-represented tumor component is unlikely to influence the biological behaviors of the whole neoplasm. However, the threshold was not supported by any clinical evidence of its relevance or significance to patients’ prognosis.

GBNEC have an aggressive biological behavior and inferior prognosis than other well-differentiated gallbladder neuroendocrine neoplasms or GBADC (25, 26). Lee et al. (27) included 34 cases of GBNECs and found that compared with stage-matched GBADCs both 1- and 3-year OS rates of patients with GBNEC were poorer than patients with GBADC (P < 0.001). Besides, clinical studies pointed out that the prognosis of GBMANEC was also worse than that of pure GBADC (4, 5, 17, 2729). Thus, they suggested that the prognosis of digestive mixed neoplasm was determined by the most aggressive tumor component (9, 16). Simultaneously, gastric NECs and (or) gastric MANECs were found worse prognoses and more frequent recurrence than those with gastric ADC in a multicenter analysis (30). Unfortunately, multicenter large-sample studies comparing the long-term prognosis of pure GBNEC, GBMANEC, and GBADC are lacking due to their low incidence rate. Most analyses of GBMiNEN were case reports or series. Costa et al (31) published a literature review in 2021. They reported that there were only 24 cases of GBMiNEN. Although most research results support that the biological behavior of mixed neoplasms is determined by the most aggressive tumor component, whether the different proportions of these components will affect the prognosis of these GBMiNEN patients has not been reached consensus. In fact, some scholars of the gastric neopalsm have pointed out that tumor components’ aggressiveness may not be associated with these elements’ percentage (30). However, for gallbladder mixed neoplasm, this information is limited. After searching, we found 2 cases of GBADC mixed with a small fraction of NEC (16, 32). Both authors reported that GBADC mixed with a small fraction of GBNEC (GBNEC component ≤30%), which did not meet the criteria for GBMiNEN, showed rapid progress in a few months. Meanwhile, the accuracy of the WHO’s 30% threshold cannot be verified because we found no clinical studies presented the value of GBNEC components proportion of in the GBMiNEN tumor mass. In this study, we observed comparable survival duration for patients with pure GBNEC, GBMANEC, and those of GBADC mixed with a small fraction of GBNEC. In addition, we also found that the OS of patients with GB-SCC mixed with a small fraction of GBNEC was significantly poorer than that of GBNEC, GBMANEC, and GB-ADC mixed with a small fraction of GBNEC. Thus, our outcomes were not in favor of a 30% neuroendocrine component as a criterion to stratify GBNEC patients with different prognoses.

Which factors can be used to differentiate GBNEC patients’ prognosis other than 30% neuroendocrine component? Unfortunately, this question has not been answered in previous clinical investigations of GBNEC. However, a large cohort of clinical studies of gastrointestinal NEC has shown that NEC is a malignant component with a poor prognosis and there is no significant relationship with the proportion of NEC components (30, 33). Our results also have comparable findings. We noticed there is no significant OS differences between patients with GBNEC ≥30% and those with GBNEC <30%. Besides, patients with GB-SCC mixed with a small fraction of GBNEC (GBNEC<30% of the tumor mass) had the most inferior survival prognosis. The presence of highly malignant components of the tumor mass plays a key role in the patient’s long-term survival.

GBNEC is aggressive and may require extensive surgery resection to obtain a negative margin. Some studies supported aggressive treatment including extensive surgical resection and adjuvant radio-chemotherapy may be necessary for patients with GBNEC (11, 12, 29, 34). However, there were no clinical guidelines for patients with GBNEC or GBMiNEN, most treatment methods followed that of GBADC. In a recent study, Liu (3) and colleagues identified the mutation landscape associated with GBNEC, and their findings supported specific pathogenesis features of GBNEC. Thus, we hypothesize that the treatment of GBNEC should be different from GBADC. Previous studies have reported different findings. Lin (34) et al. found a GBMANEC case and suggested that a combination of surgery, ACT, and somatostatin treatment could lead to improved survival. However, Zhang et al. (29) concluded that extensive surgical resection remains the only key treatment for patients with GBNEC. In other studies, the benefits of curative resection for GBNEC were not clarified. We hypothesize this may be due to the aggressive nature of GBNEC that most patients were diagnosed in late stages, thus the patients may experience recurrence soon after surgical resection.

The study had several limitations. First, our patient data were collected from a referral medical center and thus may have introduced selection and information loss biases. Some late-stage patients were not included in the queue due to losing the opportunity for surgery. Additionally, the long follow-up span may result in poor compliance and follow-up biases, which could have affected the timely recording of specific survival outcomes for the included patients. Third, differences in patients’ living standards could have also introduced biases related to the prognosis. Fourth, the use of different immunohistochemistry (IHC) panels over time may lead to inconsistent immunohistochemistry markers for GBNEC diagnosis.

5 Conclusion

The presence of 30% GBNEC may not necessarily be the best tool for the differentiation of GBNEC and GBMiNEN. The presence of malignant tumor components may be more important in providing valuable prognostic information on survival for patients with mixed tumors. Patients with either pure or mixed GBNEC, displaying advanced tumor stages and lymphovascular invasion were at an independently increased risk of worse OS and RFS. Due to the small sample size of the study, the conclusions drawn above need to be validated by multicenter large-sample studies.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

This study was conducted in accordance with the Declaration of Helsinki and in compliance with the study protocol and ethical guidelines for medical and health research involving human subjects. The study was approved by the institutional review committee of West China Hospital, Sichuan University (approval code 2021-445). A summary of the protocol of the study is available on the website of the hospital. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants’ legal guardians/next of kin in accordance with the national legislation and institutional requirements.

Author contributions

Y-FH: Writing – original draft. J-KW: Writing – original draft, Resources, Writing – review & editing. W-JM: Resources, Writing – review & editing. H-FG: Resources, Writing – review & editing. H-JH: Resources, Writing – review & editing. FL: Resources, Writing – review & editing. T-RL: Resources, Writing – review & editing. S-QY: Resources, Writing – review & editing. Y-SD: Resources, Writing – review & editing. R-QZ: Resources, Writing – review & editing. F-YL and Y-WJ: Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Supported by 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University (ZYJC21046); 1.3.5 project for disciplines of excellence-Clinical Research Incubation Project, West China Hospital, Sichuan University (2021HXFH001); Natural Science Foundation of Sichuan Province (2022NSFSC0806); National Natural Science Foundation of China for Young Scientists Fund (82203650, 82203782), Sichuan Science and Technology Program (2021YFS0100); The fellowship of China Postdoctoral Science Foundation (2021M692277); Sichuan University-Zigong School-local Cooperation project (2021CDZG-23); Sichuan University-Sui Lin School-local Cooperation project (2022CDSN-18); Science and Technology project of the Health planning committee of Sichuan (21PJ046); Post-Doctor Research Project, West China Hospital, Sichuan University (2020HXBH127).

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.

Abbreviations

GBMiNEN, Gallbladder mixed neuroendocrine-non- neuroendocrine neoplasm; GBNEC, Gallbladder neuroendocrine carcinoma; GBC, Gallbladder carcinoma; GBMiNEC, Gallbladder mixed neuroendocrine-non-neuroendocrine carcinoma; GBMANEC, Gallbladder mixed adeno-neuroendocrine carcinoma; GB, Gallbladder; GBSCC, Gallbladder squamous cell carcinoma; GBADC, Gallbladder adenocarcinoma; GBNEN, Gallbladder neuroendocrine neoplasms; OS, Overall survival; mOS, Median overall survival; mRFS, Median recurrence-free survival.

References

1. Shiihara M, Higuchi R, Furukawa T, Yazawa T, Uemura S, Izumo W, et al. Comparison of clinicopathological features of biliary neuroendocrine carcinoma with adenocarcinoma. Digest Surg (2020), 1–8.

Google Scholar

2. Bitter T, Kroeze LI, Reuver P, Vliet SV, Vink-Börger E, Rhein DV, et al. Unraveling neuroendocrine gallbladder cancer: comprehensive clinicopathologic and molecular characterization. JCO Precis Oncol (2021) 5):473–84. doi: 10.1200/PO.20.00487

CrossRef Full Text | Google Scholar

3. Liu F, Li Y, Ying D, Qiu S, He Y, Li M, et al. Whole-exome mutational landscape of neuroendocrine carcinomas of the gallbladder. Signal Transduct Target Ther (2021) 6(1). doi: 10.1038/s41392-020-00412-3

CrossRef Full Text | Google Scholar

4. Kim J, Lee WJ, Lee SH, Lee KB, Ryu JK, Kim Y-T, et al. Clinical features of 20 patients with curatively resected biliary neuroendocrine tumours. Digest Liver Dis (2011) 43(12):965–70. doi: 10.1016/j.dld.2011.07.010

CrossRef Full Text | Google Scholar

5. Do M-Y, Jang S-I, Kang H-P, Kim E-J, Lee K-J, Park G-E, et al. Comparison of the clinical features and outcomes of gallbladder neuroendocrine carcinoma with those of adenocarcinoma: A propensity score-matched analysis. Cancers (2021) 13(18):4713. doi: 10.3390/cancers13184713

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Yan S, Wang Y, Chen X, Zhang Y, Huang Z, Zhao J, et al. Clinical analysis of 15 cases of gallbladder neuroendocrine carcinoma and comparison with gallbladder adenocarcinoma using a propensity score matching. Cancer Manage Res (2020) 12:1437–46. doi: 10.2147/CMAR.S227501

CrossRef Full Text | Google Scholar

7. Cai X-C, Wu S-D. Gallbladder neuroendocrine carcinoma diagnosis, treatment and prognosis based on the SEER database: A literature review. World J Clin cases (2022) 10(23):8212–23. doi: 10.12998/wjcc.v10.i23.8212

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Yun SP, Shin N, Seo HI. Clinical outcomes of small cell neuroendocrine carcinoma and adenocarcinoma of the gallbladder. World J Gastroenterol (2015) 21(1):269–75. doi: 10.3748/wjg.v21.i1.269

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Frizziero M, Chakrabarty B, Nagy B, Lamarca A, Hubner RA, Valle JW, et al. Mixed neuroendocrine nonNeuroendocrine neoplasms: A systematic review of a controversial and underestimated diagnosis. J Clin Med (2020) 9(1):273.

PubMed Abstract | Google Scholar

10. Yang Z, Wang Y, Chen Y, Qian F, Zhang Y, Hu M, et al. Combined large cell neuroendocrine carcinoma: clinical characteristics, prognosis and postoperative management. European Journal of Cardio-Thoracic Surgery (2022) 62(2).

PubMed Abstract | Google Scholar

11. Liu W, Chen W, Chen J, Hong T, Li B, Qu Q, et al. Neuroendocrine carcinoma of gallbladder: a case series and literature review. Eur J Med Res (2019) 24(1). doi: 10.1186/s40001-019-0363-z

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Jung J, Chae Y-S, Kim CH, Lee Y, Lee JH, Kim D-S, et al. Combined adenosquamous and large cell neuroendocrine carcinoma of the gallbladder. J Pathol Trans Med (2018) 52(2):121–5. doi: 10.4132/jptm.2017.08.20

CrossRef Full Text | Google Scholar

13. Assarzadegan N, Montgomery E. What is new in the 2019 world health organization (WHO) classification of tumors of the digestive system: review of selected updates on neuroendocrine neoplasms, appendiceal tumors, and molecular testing. Arch Pathol Lab Med (2020) 145(6):664–77.

Google Scholar

14. Machairas N, Paspala A, Frountzas M, Tsilimigras DI, Moris D, Ntomi V, et al. Mixed adenoneuroendocrine carcinoma (MANEC) of the gallbladder: A systematic review of outcomes following surgical management. In Vivo (2019) 33(6):1721–6. doi: 10.21873/invivo.11662

PubMed Abstract | CrossRef Full Text | Google Scholar

15. de Mestier L, Cros J, Neuzillet C, Hentic O, Egal A, Muller N, et al. Digestive system mixed neuroendocrine-non-neuroendocrine neoplasms. Neuroendocrinology (2017) 105(4):412–25. doi: 10.1159/000475527

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Kadota Y, Funakoshi S, Hirose S, Shiomi E, Odaira M, Yagishita H, et al. Focal neuroendocrine carcinoma mixed with adenocarcinoma of the gallbladder with aggressive lymph node metastasis in a patient who did not meet the mixed neuroendocrine–non-neuroendocrine neoplasm criteria. Clin J Gastroenterol (2021) 15(1):185–91.

PubMed Abstract | Google Scholar

17. Song W, Chen W, Zhang S, Peng J, He Y. Successful treatment of gallbladder mixed adenoneuroendocrine carcinoma with neo-adjuvant chemotherapy. Diagn Pathol (2012) 7(1):163. doi: 10.1186/1746-1596-7-163

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Washington MK, Goldberg RM, Chang GJ, Limburg P, Lam AK, Salto-Tellez M, et al. Diagnosis of digestive system tumours. Int J Cancer (2021) 148(5):1040–50. doi: 10.1002/ijc.33210

PubMed Abstract | CrossRef Full Text | Google Scholar

19. 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(2):182–8. doi: 10.1111/his.13975

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Chun YS, Pawlik TM, Vauthey JN. 8th edition of the AJCC cancer staging manual: pancreas and hepatobiliary cancers. Ann Surg Oncol (2018) 25(4):845–7. doi: 10.1245/s10434-017-6025-x

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Yao JC, Hassan M, Phan A, Dagohoy C, Leary C, Mares JE, et al. One hundred years after "carcinoid": epidemiology of and prognostic factors for neuroendocrine tumors in 35,825 cases in the United States. Clin Oncol (2008) 26(18):3063–72.

Google Scholar

22. Rindi G, Petrone G, Inzani F. The 2010 WHO classification of digestive neuroendocrine neoplasms: a critical appraisal four years after its introduction. Endocr Pathol (2014) 25(2):186–92. doi: 10.1007/s12022-014-9313-z

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Muller S, Tilakaratne WM. Update from the 5th edition of the world health organization classification of head and neck tumors: tumours of the oral cavity and mobile tongue. Head Neck Pathol (2022) 16(1):54–62. doi: 10.1007/s12105-021-01402-9

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Kim JY, Hong SM, Ro JY. Recent updates on grading and classification of neuroendocrine tumors. Ann Diagn Pathol (2017) 29:11–6.

PubMed Abstract | Google Scholar

25. Ting YY, John A, Maddern G, Kuan LL. Small cell neuroendocrine carcinoma of the gallbladder. ANZ J Surg (2021) 91(5):E357–e359. doi: 10.1111/ans.16366

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Kamboj M, Gandhi JS, Gupta G, Sharma A, Pasricha S, Mehta A, et al. Neuroendocrine carcinoma of gall bladder: a series of 19 cases with review of literature. Journal of Gastrointestinal Cancer (2015) 46(4):356–64.

PubMed Abstract | Google Scholar

27. Lee SM, Sung CO. Neuroendocrine carcinomas of the gallbladder: A clinicopathologic and immunohistochemical analysis of 34 resected cases. Am J Surg Pathol (2020) 44(10):1308–21. doi: 10.1097/PAS.0000000000001536

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Zhang D, Li P, Szankasi P, Liao X. Mixed adenoneuroendocrine carcinoma of the gallbladder, amphicrine type: Case report and review of literature. Pathol Res Pract (2020) 216(7):152997. doi: 10.1016/j.prp.2020.152997

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Zhang Z, Zhong D, Feng T, Yao Y, Huang X. Mixed adenoneuroendocrine carcinoma of the gallbladder. Journal of Gastrointestinal Surgery (2021) 26(2):503–6.

PubMed Abstract | Google Scholar

30. Lin J, Zhao Y, Zhou Y, Tian Y, He Q, Lin J, et al. Comparison of survival and patterns of recurrence in gastric neuroendocrine carcinoma, mixed adenoneuroendocrine carcinoma, and adenocarcinoma. JAMA Netw Open (2021) 4(7):e2114180. doi: 10.1001/jamanetworkopen.2021.14180

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Costa AC, Cavalcanti CLC, Coelho HGB, Leão LHA, Soares DTC, Santa-Cruz F, et al. Rare mixed adenoneuroendocrine carcinoma of the gallbladder: case report and review of literature. Am J Case Rep (2021) 22:e929511. doi: 10.12659/AJCR.929511

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Okada H, Uchida Y, Matsuzaki N, Goto T, Nishimura S, Kurita A, et al. A case of neuroendocrine carcinoma in the hepatic hilar lymph nodes concomitant with an adenocarcinoma of the gallbladder. World J Surg Oncol (2016) 14(1):284. doi: 10.1186/s12957-016-1039-6

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Kushima R. The updated WHO classification of digestive system tumoursgastric adenocarcinoma and dysplasia. Pathologe (2022) 43(1):8–15. doi: 10.1007/s00292-021-01023-7

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Lin Y-X, Jia Q-B, Fu Y-Y, Cheng N-S. Mixed adenoneuroendocrine carcinoma of the gallbladder. J Gastrointest Surg (2018) 22(8):1452–4. doi: 10.1007/s11605-017-3664-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: gallbladder neuroendocrine carcinomas, gallbladder mixed adenoneuroendocrine carcinoma, gallbladder carcinoma, survival, neuroendocrine carcinoma

Citation: Hu Y-F, Wang J-K, Ma W-J, Hu H-J, Gu H-F, Liu F, Lv T-R, Yang S-Q, Dai Y-S, Zou R-Q, Jin Y-W and Li F-Y (2024) Does the size of the neuroendocrine-carcinoma component determine the prognosis of gallbladder cancer? Front. Endocrinol. 15:1217250. doi: 10.3389/fendo.2024.1217250

Received: 05 May 2023; Accepted: 29 January 2024;
Published: 22 July 2024.

Edited by:

Delmar Muniz Lourenco Jr., University of São Paulo, Brazil

Reviewed by:

Rahul Gupta, Synergy Institute of Medical Sciences, India
Wei Gong, Shanghai Jiao Tong University, China

Copyright © 2024 Hu, Wang, Ma, Hu, Gu, Liu, Lv, Yang, Dai, Zou, Jin and Li. 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: Yan-Wen Jin, yanwjin@126.com; Fu-Yu Li, lifuyu@scu.edu.cn

These authors have contributed equally to this work and share first authorship

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