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EDITORIAL article

Front. Oncol., 18 March 2024
Sec. Molecular and Cellular Oncology
This article is part of the Research Topic Predictive and Prognostic Value of Liquid Biopsy Biomarkers in Metastatic Cancers: from Basic Science, across High Throughput Profiling up to Clinical Practice View all 8 articles

Editorial: Predictive and prognostic value of liquid biopsy biomarkers in metastatic cancers: from basic science, across high throughput profiling up to clinical practice

Dorota Kwapisz*Dorota Kwapisz1*Patrycja PawlikowskaPatrycja Pawlikowska2Areti StratiAreti Strati3
  • 1Department of Biochemistry and Molecular Biology, Centre of Postgraduate Medical Education, Warsaw, Poland
  • 2Gustave Roussy, Université Paris-Saclay, “Rare Circulating Cells” Translational Platform, CNRS UMS3655 – INSERM US23 AMMICA, Villejuif, France
  • 3Analysis of Circulating Tumor Cells Lab, Lab of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Athens, Greece

We are pleased to introduce this Research Topic entitled “Predictive and Prognostic Value of Liquid Biopsy Biomarkers in Metastatic Cancers: from Basic Science, across High Throughput Profiling up to Clinical Practice”. This Research Topic includes papers that explore a variety of topics related to liquid biopsy (LB) in the field of oncology. Over the past few years, the interest in LB in oncology has increased significantly, especially after the approval of LB testing in lung cancer (1). Due to its low invasiveness and ease of multiple sample collection, LB has the potential to revolutionize the diagnosis and treatment of cancer and to be a helpful tool in patient follow-up. Large-scale, diverse and comprehensive analyses of various cancer samples are revealing a growing number of potential biomarkers that can be used in diagnosis or treatment (24). This Research Topic provides some examples of potential prognostic and predictive biomarkers that can be detected in LB samples highlighting the important role of this technique in oncology.

Lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) are the most common subtypes of lung cancer (5). Several new biomarkers with high discriminatory values between LUAD and LUSC have been reported (6). Pan et al. investigated the prognostic value of methyltransferase-like protein 7A (METTL7A) gene expression in lung adenocarcinoma in a total of four different LUAD datasets. METTL7A is associated with the development and progression of various tumor types and has high diagnostic and prognostic value (7). According to Pan et al. when low. METTL7A gene expression was observed in the immune microenvironment it was associated with a poor prognosis [Pan et al.]. The characterization of the lung cancer microenvironment could provide interesting information on the efficacy of immune checkpoint inhibitors (8). In addition, the downregulation of the METTL7A gene may be due to cancer-specific DNA methylation, which plays an important role in tumor programming (9).

The importance and mechanism of action of another potential biomarker for tumor development and progression, namely the chemokine receptor CXCR3 and its ligands, have been described in the review article by Wang et al. CXCR3 is mainly expressed on the surface of activated T cells, B cells, and natural killer cells and plays an essential role in Treg cell accumulation and immunosuppression in tumors [Wang et al., 10]. The differential expression of CXCR3 in different cancer subtypes makes it a potential target for immunotherapy [Wang et al.]. Recent data show that activation of the CXCR3 signaling pathway could be a predictive biomarker in immunotherapy (11).

Long non-coding RNAs (lncRNAs) can regulate cell proliferation, apoptosis, migration, invasion and stem cell maintenance during cancer development (12). The importance of lncRNAs in tumor progression and in particular the role of the lncRNA epidermal growth factor receptor antisense RNA 1 (EGFR-AS1) as a potential biomarker in cancer treatment have been discussed in detail in the article by Zhu et al. The long non-coding RNA EGFR-AS1 mediates epidermal growth factor receptor addiction and modulates treatment response in squamous cell carcinoma, while in renal cancer it enhances the malignant phenotype of RCC cells (13, 14). The clinical application of EGFR-AS1 in human cancers holds considerable potential for cancer diagnosis, prognosis evaluation, and treatment response. However, further studies are needed to clarify the detailed mechanisms of EGFR-AS1 in cancer progression and to validate its usefulness in clinical practice [Zhu et al.].

Metabolic remodeling is a one of a hallmark of cancer and divergen metabolism in tumors has been exploited for diagnostic and therapeutic purposes. The importance of mitochondrial one-carbon metabolism and in particular the increased mRNA expression of its key player methylenetetrahydrofolate dehydrogenase 2 (MTHFD2) has already been highlighted in a meta-analysis of 19 cancer types by Nilsson et al. (15). It appears that MTHFD2 expression is required for cancer cell proliferation since MTHFD2 silencing significantly reduced the proliferation of several cancer cell lines (15). Zhang et al. proposed the involvement of MTHFD2 in the regulation of ferroptosis as a mechanism of tumor adaptation. Specific metabolic changes associated with this adaptation, namely increased MTHFD2 expression, have been proposed by Zhang et al. as a potential prognostic biomarker in triple-negative breast cancer. Previously, MTHFD2 was recognized as one of the potential cancer drivers in breast cancer (16). MTHFD2 expression was shown to be induced in response to TGF-β stimulation in breast cancer cells, suggesting its role in epithelial-to-mesenchymal transition and cancer cell invasion (17). Indeed, similar to the present article by Zhang et al., high expression of MTHFD2 has been shown to be associated with poor clinical prognosis in breast and more recently ovarian cancer (17, 18). Further investigations would open up the utility of this biomarker in clinical practice.

The spectrum of circulating extracellular microRNAs (miRNAs) can be affected by various pathological conditions including cancer, thus opening up their utility as prognostic biomarkers. Indeed, circulating extracellular miRNAs have many features of good biomarkers and can be used to distinguish some specific subtypes of cancers (19). However, specific miRNA signatures are related to the clinical and therapeutic characteristics of the tumors (20). Similarly, diet, regular exercise, or obesity may affect circulating miRNA profiles (21). In the present issue, Niedra et al. identified somatostatin analogues (SSA) – mediated circulating plasma miRNA species associated with growth hormone-secreting pituitary neuroendocrine tumors. The value of this study is increased by the fact that pituitary cancer studies in the context of miRNA are relatively rare compared to other tumor types.

It is known that inflammation can influence cancer development and progression (22). This Research Topic features the work of Wu et al., who evaluated the overall survival (OS) of patients with primary oral squamous cell carcinoma (OSCC) using inflammatory indicators. The authors paid particular attention to the importance of the inflammatory biomarker indicator - lymphocyte to monocyte ratio (LMR) in patients with primary OSCC and its impact on OS. This study confirmed the important role of an inflammatory process in cancer patients. The importance of the LMR ratio has also been assessed in other cancers. In one meta-analysis, pretreatment LMR ratio was found to be a potential prognostic marker for poor prognosis in ovarian cancer patients, while in a second meta-analysis it was suggested that a high LMR ratio may be a useful prognostic marker in colorectal cancer (23, 24).

Multiple and often repeated tissue biopsies are not feasible in clinical practice, therefore, LB represents a non-invasive and easily accessible alternative to assess the tumor characteristics, and constitutes a source of biomarkers during treatment and follow-up. In the LB sample, a rare population of circulating tumor cells (CTCs) may contain clones of tumor cells with high relevance for metastatic progression. Accurate identification and isolation of CTCs remain extremely challenging. Yeo et al. described the detection and isolation of CTCs from peripheral blood samples using an enrichment-free multiparametric high-resolution imaging method.

In conclusion, this Research Topic brings together research findings in the field of LB in oncology, providing an overview of the progress and challenges in developing the utility of LB biomarkers as predictive and prognostic factors.

Author contributions

DK: Writing – review & editing, Writing – original draft. PP: Writing – review & editing, Writing – original draft. AS: Writing – review & editing, Writing – original draft.

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. Kwapisz D. The first liquid biopsy test approved. Is it a new era of mutation testing for non-small cell lung cancer? Ann Transl Med. (2017) 5:46. doi: 10.21037/atm

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Kilgour E, Rothwell DG, Brady G, Dive C. Liquid biopsy-based biomarkers of treatment response and resistance. Cancer Cell. (2020) 37:485–95. doi: 10.1016/j.ccell.2020.03.012

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Visvanathan K, Cope L, Fackler MJ, Considine M, Sokoll L, Carey LA, et al. Evaluation of a liquid biopsy-breast cancer methylation (LBx-BCM) cartridge assay for predicting early disease progression and survival: TBCRC 005 prospective trial. Clin Cancer Res. (2023) 29:784–90. doi: 10.1158/1078-0432.CCR-22-2128

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Vidal J, Casadevall D, Bellosillo B, Pericay C, Garcia-Carbonero R, Losa F, et al. Clinical impact of presurgery circulating tumor DNA after total neoadjuvant treatment in locally advanced rectal cancer: A biomarker study from the GEMCAD 1402 trial. Clin Cancer Res. (2021) 27:2890–8. doi: 10.1158/1078-0432.CCR-20-4769

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Anusewicz D, Orzechowska M, Bednarek AK. Lung squamous cell carcinoma and lung adenocarcinoma differential gene expression regulation through pathways of Notch, Hedgehog, Wnt, and ErbB signalling. Sci Rep. (2020) 10:21128. doi: 10.1038/s41598-020-77284-8

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Chen JW, Dhahbi J. Lung adenocarcinoma and lung squamous cel carcinoma cancer classification, biomarker identification, and gene expression analysis using overlapping feature selection methods. Sci Rep. (2021) 11:13323. doi: 10.1038/s41598-021-92725-8

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Liu Z, Chen Y, Shen T. Evidence based on an integrative analysis of multi-omics data on METTL7A as a molecular marker in pan-cancer. Biomolecules. (2023) 13:195. doi: 10.3390/biom13020195

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Seo JS, Kim A, Shin JY, Kim YT. Comprehensive analysis of the tumor immune micro-environment in non-small cell lung cancer for efficacy of checkpoint inhibitor. Sci Rep. (2018) 8:14576. doi: 10.1038/s41598-018-32855-8

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Zhou S, Shen Y, Zheng M, Wang L, Che R, Hu W, et al. DNA Methylation of METTL7A gene body regulates its transcriptional level in thyroid cancer. Oncotarget. (2017) 8:34652–60. doi: 10.18632/oncotarget.v8i21

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Moreno Ayala MA, Campbell TF, Zhang C, Dahan N, Bockman A, Prakashet V, et al. CXCR3 expression in regulatory T cells drives interactions with type I dendritic cells in tumors to restrict CD8+ T cell antitumor immunity. Immunity. (2023) 56:1613–30.e5. doi: 10.1016/j.immuni.2023.06.003

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Feng W, Lin A, Sun L, Wei T, Ying H, Zhang J, et al. Activation of the chemokine receptor 3 pathway leads to a better response to immune checkpoint inhibitors in patients with metastatic urothelial carcinoma. Cancer Cell Int. (2022) 22:186. doi: 10.1186/s12935-022-02604-z

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Jiang MC, Ni JJ, Cui WY, Wang B-Y, Zhuo W. Emerging roles of lncRNA in cancer and therapeutic opportunities. Am J Cancer Res. (2019) 9:1354–66.

PubMed Abstract | Google Scholar

13. Tan DSW, Chong FT, Leong HS, Toh SY, Lau DP, Kwang XL. Long noncoding RNA EGFR-AS1 mediates epidermal growth factor receptor addiction and modulates treatment response in squamous cell carcinoma. Nat Med. (2017) 23:1167–75. doi: 10.1038/nm.4401

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Wang A, Bao Y, Wu Z, Zhao T, Wang D, Shi J, et al. Long noncoding RNA EGFR-AS1 promotes cell growth and metastasis via affecting HuR mediated mRNA stability of EGFR in renal cancer. Cell Death Dis. (2019) 10:154. doi: 10.1038/s41419-019-1331-9

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Nilsson R, Jain M, Madhusudhan N, Sheppard NG, Strittmatter L, Kampfet C, et al. Metabolic enzyme expression highlights a key role for MTHFD2 and the mitochondrial folate pathway in cancer. Nat Commun. (2014) 5:3128. doi: 10.1038/ncomms4128

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Encinas G, Sabelnykova VY, Carneiro de Lyra E, Katayama MLH, Maistro S, de Vasconcellos Valle PWM, et al. Somatic mutations in early onset luminal breast cancer. Oncotarget. (2018) 9:22460–79. doi: 10.18632/oncotarget.v9i32

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Cui X, Su H, Yang J, Wu X, Huo K, Jing X, et al. Up-regulation of MTHFD2 is associated with clinicopathological characteristics and poor survival in ovarian cancer, possibly by regulating MOB1A signaling. J Ovarian Res. (2022) 15:23. doi: 10.1186/s13048-022-00954-w

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Lehtinen L, Ketola K, Mäkelä R, Mpindi J-P, Viitala M, Kallioniemi O, et al. High-throughput RNAi screening for novel modulators of vimentin expression identifies MTHFD2 as a regulator of breast cancer cell migration and invasion. Oncotarget. (2013) 4:48–63. doi: 10.18632/oncotarget.v4i1

PubMed Abstract | CrossRef Full Text | Google Scholar

19. He Y, Lin J, Kong D, Huang M, Xu C, Kim T-K, et al. Current state of circulating microRNAs as cancer biomarkers. Clin Chem. (2015) 61:1138–55. doi: 10.1373/clinchem.2015.241190

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Gadelha MR, Kasuki L, Dénes J, Trivellin G, Korbonits M. MicroRNAs: Suggested role in pituitary adenoma pathogenesis. J Endocrinol Invest. (2013) 36:889–95. doi: 10.1007/BF03346759

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Butz H. Circulating noncoding RNAs in pituitary neuroendocrine tumors-two sides of the same coin. Int J Mol Sci. (2022) 23:5122. doi: 10.3390/ijms23095122

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Grivennikov SI, Greten FR, Karin M. Immunity, inflammation, and cancer. Cell. (2010) 140:883–99. doi: 10.1016/j.cell.2010.01.025

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Gong J, Jiang H, Shu C, Hu M-Q, Huang Y, Liu Q, et al. Prognostic value of lymphocyte-to-monocyte ratio in ovarian cancer: a meta-analysis. J Ovarian Res. (2019) 12:51. doi: 10.1186/s13048-019-0527-z

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Tan D, Fu Y, Tong W, Li F. Prognostic significance of lymphocyte to monocyte ratio in colorectal cancer: A meta-analysis. Int J Surg. (2018) 55:128–38. doi: 10.1016/j.ijsu.2018.05.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: liquid biopsy, miRNA, CTC, oncology, lncRNA

Citation: Kwapisz D, Pawlikowska P and Strati A (2024) Editorial: Predictive and prognostic value of liquid biopsy biomarkers in metastatic cancers: from basic science, across high throughput profiling up to clinical practice. Front. Oncol. 14:1375711. doi: 10.3389/fonc.2024.1375711

Received: 24 January 2024; Accepted: 01 March 2024;
Published: 18 March 2024.

Edited and Reviewed by:

Luisa Lanfrancone, European Institute of Oncology (IEO), Italy

Copyright © 2024 Kwapisz, Pawlikowska and Strati. 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: Dorota Kwapisz, dmkwapisz@gmail.com

Disclaimer: 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.