Home Medicine Validation of new, circulating biomarkers for gliomas
Article
Licensed
Unlicensed Requires Authentication

Validation of new, circulating biomarkers for gliomas

  • Miyo K. Chatanaka ORCID logo , Lisa M. Avery and Eleftherios P. Diamandis ORCID logo EMAIL logo
Published/Copyright: March 26, 2025

Abstract

Objectives

Biomarkers are useful clinical tools but only a handful of them are used routinely for patient care. Despite intense efforts to discover new, clinically useful biomarkers, very few new circulating biomarkers were implemented in clinical practice in the last 40 years. This is mainly due to rather poor clinical performance. Here, our goal was to validate the performance of a group of newly discovered circulating biomarkers for glioma by comparing our data with data from a paper recently published in Science Advances.

Methods

We analyzed our own sets of clinical samples (gliomas (n=30), meningiomas (n=20)) and a different analytical assay (Proximity Extension Assay, OLINK Proteomics) to compare the results of Shen and colleagues.

Results

Despite the sophistication of the utilized discovery method by the original investigators, we found that the newly proposed biomarkers for glioma (the best one presumably being SERPINA6) did not perform as originally claimed.

Conclusions

Scientific irreproducibility has been extensively discussed in the literature. A large proportion of newly discovered candidate biomarkers likely represent “false discovery” and significantly contribute to the propagation of irreproducible results between investigators. One of the best ways to assess the value of any new biomarker is by independent and extensive validation. Based on our previous classification of irreproducible results, we believe that this new work likely represents another example of biomarker false discovery.


Corresponding author: Dr. Eleftherios P. Diamandis, MD, PhD, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Room L6-201, 60 Murray St., Toronto, ON, M5T 3L9, Canada, E-mail:

  1. Research ethics: We previously obtained ethics certificates from the Research Ethics Board at Mount Sinai Hospital, Toronto, Canada (REB #21-0114-E), which has been renewed until August 4, 2025. Samples were provided by the Northwester University Brain Tumor Biobank.

  2. Informed consent: Not applicable.

  3. Author contributions: MKC drafted and edited the manuscript, and prepared Figure 2. LMA performed the statistical analysis, prepared Figures 1 and 2 and edited the manuscript. EPD conceptualized, drafted and edited the manuscript.

  4. Use of Large Language Models, AI and Machine Learning Tools: Not applicable.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: Our previous work was supported by a grant to EPD from the Canadian Brain Foundation and the Canadian Cancer Society Research Institute under a SPARK Grant (Grant Number: CCS707057). The Northwestern Nervous System Tumor Bank is supported by the P50CA221747 SPORE for Translational Approaches to Brain Cancer. The current work did not use any funding.

  7. Data availability: To be shared upon request.

References

1. Shen, L, Zhang, Z, Wu, P, Yang, J, Cai, Y, Chen, K, et al.. Mechanistic insight into glioma through spatially multidimensional proteomics. Sci Adv 2024;10:eadk1721. https://doi.org/10.1126/sciadv.adk1721.Search in Google Scholar PubMed PubMed Central

2. Fiala, C, Diamandis, EP. A multi-cancer detection test: focus on the positive predictive value. Ann Oncol 2020;31:1267–8. https://doi.org/10.1016/j.annonc.2020.05.028.Search in Google Scholar PubMed

3. Diamandis, EP, Li, M. The side effects of translational omics: overtesting, overdiagnosis, overtreatment. Clin Chem Lab Med 2016;54:389–96. https://doi.org/10.1515/cclm-2015-0762.Search in Google Scholar PubMed

4. Fiala, C, Taher, J, Diamandis, EP. P4 medicine or O4 medicine? Hippocrates provides the answer. J Appl Lab Med 2019;4:108–19. https://doi.org/10.1373/jalm.2018.028613.Search in Google Scholar PubMed

5. Chen, M, Ren, AH, Prassas, I, Soosaipillai, A, Lim, B, Fraser, DD, et al.. Plasma protein profiling by proximity extension assay technology reveals novel biomarkers of traumatic brain injury-a pilot study. J Appl Lab Med 2021;6:1165–78. https://doi.org/10.1093/jalm/jfab004.Search in Google Scholar PubMed

6. Ren, AH, Diamandis, EP, Kulasingam, V. Uncovering the depths of the human proteome: antibody-based technologies for ultrasensitive multiplexed protein detection and quantification. Mol Cell Proteomics MCP 2021;20:100155. https://doi.org/10.1016/j.mcpro.2021.100155.Search in Google Scholar PubMed PubMed Central

7. Ren, A, Prassas, I, Sugumar, V, Soosaipillai, A, Bernardini, M, Diamandis, EP, et al.. Comparison of two multiplexed technologies for profiling >1,000 serum proteins that may associate with tumor burden. F1000Research 2021;10:509. https://doi.org/10.12688/f1000research.53364.1.Search in Google Scholar PubMed PubMed Central

8. Ghorbani, A, Avery, LM, Sohaei, D, Soosaipillai, A, Richer, M, Horbinski, C, et al.. Discovery of novel glioma serum biomarkers by proximity extension assay. Clin Proteom 2023;20:12. https://doi.org/10.1186/s12014-023-09400-5.Search in Google Scholar PubMed PubMed Central

9. Sturgeon, CM, Duffy, MJ, Stenman, UH, Lilja, H, Brünner, N, Chan, DW, et al.. National Academy of Clinical Biochemistry laboratory medicine practice guidelines for use of tumor markers in testicular, prostate, colorectal, breast, and ovarian cancers. Clin Chem 2008;54:e11–79. https://doi.org/10.1373/clinchem.2008.105601.Search in Google Scholar PubMed

10. Diamandis, EP. The failure of protein cancer biomarkers to reach the clinic: why, and what can be done to address the problem? BMC Med 2012;10:87. https://doi.org/10.1186/1741-7015-10-87.Search in Google Scholar PubMed PubMed Central

11. Diamandis, EP. Cancer biomarkers: can we turn recent failures into success? JNCI J Natl Cancer Inst 2010;102:1462–7. https://doi.org/10.1093/jnci/djq306.Search in Google Scholar PubMed PubMed Central

12. Diamandis, EP. Analysis of serum proteomic patterns for early cancer diagnosis: drawing attention to potential problems. J Natl Cancer Inst 2004;96:353–6. https://doi.org/10.1093/jnci/djh056.Search in Google Scholar PubMed

13. Ransohoff, DF. Bias as a threat to the validity of cancer molecular-marker research. Nat Rev Cancer 2005;5:142–9. https://doi.org/10.1038/nrc1550.Search in Google Scholar PubMed

14. Ioannidis, JPA. Discussion: why “an estimate of the science-wise false discovery rate and application to the top medical literature” is false. Biostat Oxf Engl. 2014;15:28–36. discussion 39-45. https://doi.org/10.1093/biostatistics/kxt036.Search in Google Scholar PubMed

15. Ioannidis, JPA. Molecular bias. Eur J Epidemiol 2005;20:739–45. https://doi.org/10.1007/s10654-005-2028-1.Search in Google Scholar PubMed

16. Prassas, I, Brinc, D, Farkona, S, Leung, F, Dimitromanolakis, A, Chrystoja, CC, et al.. False biomarker discovery due to reactivity of a commercial ELISA for CUZD1 with cancer antigen CA125. Clin Chem. 2014;60:381–8. https://doi.org/10.1373/clinchem.2013.215236.Search in Google Scholar PubMed

17. Petricoin, EF, Ardekani, AM, Hitt, BA, Levine, PJ, Fusaro, VA, Steinberg, SM, et al.. Use of proteomic patterns in serum to identify ovarian cancer. Lancet Lond Engl 2002;359:572–7. https://doi.org/10.1016/s0140-6736(02)07746-2.Search in Google Scholar

18. Schully, SD, Carrick, DM, Mechanic, LE, Srivastava, S, Anderson, GL, Baron, JA, et al.. Leveraging biospecimen resources for discovery or validation of markers for early cancer detection. J Natl Cancer Inst 2015;107:djv012. https://doi.org/10.1093/jnci/djv012.Search in Google Scholar PubMed PubMed Central

19. Levett, JJ, Elkaim, LM, Alotaibi, NM, Weber, MH, Dea, N, Abd-El-Barr, MM. Publication retraction in spine surgery: a systematic review. Eur Spine J 2023;32:3704–12. https://doi.org/10.1007/s00586-023-07927-7.Search in Google Scholar PubMed

20. Ball, P. Is AI leading to a reproducibility crisis in science? Nature 2023;624:22–5. https://doi.org/10.1038/d41586-023-03817-6.Search in Google Scholar PubMed

21. Fiala, C, Diamandis, EP. How to reduce scientific irreproducibility: the 5-year reflection. Clin Chem Lab Med 2017;55:1845–8. https://doi.org/10.1515/cclm-2017-0759.Search in Google Scholar PubMed

22. Hamilton, SR, Liu, B, Parsons, RE, Papadopoulos, N, Jen, J, Powell, SM, et al.. The molecular basis of Turcot’s syndrome. N Engl J Med 1995;332:839–47. https://doi.org/10.1056/nejm199503303321302.Search in Google Scholar

23. Kleihues, P, Ohgaki, H. Primary and secondary glioblastomas: from concept to clinical diagnosis. Neuro Oncol 1999;1:44–51. https://doi.org/10.1215/s1522851798000180.Search in Google Scholar

24. Khattab, A, Monga, DK. Turcot syndrome. In: . StatPearls [internet]. Treasure Island (FL): StatPearls Publishing; 2025. [cited 2025 Feb 19]. Available from: http://www.ncbi.nlm.nih.gov/books/NBK534782/.Search in Google Scholar

25. Schneider, K, Zelley, K, Nichols, KE, Schwartz Levine, A, Garber, J. Li-fraumeni syndrome. In: Adam, MP, Feldman, J, Mirzaa, GM, Pagon, RA, Wallace, SE, Amemiya, A, editors. GeneReviews® [internet]. Seattle (WA): University of Washington, Seattle; 1993. [cited 2025 Feb 19]. Available from: http://www.ncbi.nlm.nih.gov/books/NBK1311/.Search in Google Scholar

Received: 2025-01-23
Accepted: 2025-02-28
Published Online: 2025-03-26

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Reviews
  3. Accuracy of pulse wave velocity for screening coronary artery disease: a systematic review and meta-analysis
  4. Prenatal screening for genetic disorders: updated guidelines, proposed counseling, a holistic approach for primary health care providers in developing countries
  5. A scoping review of fever of unknown origin with normal serum C-reactive protein
  6. Mini Review
  7. Overview of dengue diagnostic limitations and potential strategies for improvement
  8. Opinion Papers
  9. Demystifying cognitive bias in the diagnostic process for frontline clinicians and educators; new words for old ideas
  10. Physicians’ prism: illuminating history with structured expertise
  11. Original Articles
  12. Implementation of a curriculum on communicating diagnostic uncertainty for clerkship-level medical students: a pseudorandomized and controlled study
  13. A synthesized differential diagnosis is associated with fewer diagnostic errors compared to an inventorial list
  14. Equity-Driven Diagnostic Excellence framework: An upstream approach to minimize risk of diagnostic inequity
  15. Two decades of autopsy-detected diagnostic errors in Japan
  16. Does management reasoning display context specificity? An exploration of sleep loss and other distracting situational (contextual) factors in clinical reasoning
  17. Cognitive biases in osteopathic diagnosis: a mixed study among French osteopaths
  18. Racial and ethnic disparities in pediatric emergency department patients with missed opportunities for diagnostic excellence
  19. Diagnostic accuracy of non-mydriatic fundus photography as a triage and telemedicine tool for patients with vision loss
  20. “Innumerable” lesion burden on brain MRI ‒ a diagnostic approach
  21. Factors associated with positive findings of deep infection on computed tomography among patients with extremity cellulitis
  22. Exploring emergency department providers’ uncertainty in neurological clinical reasoning
  23. Analytical performance and user-friendliness of four point-of-care measuring systems for monitoring prothrombin time international normalized ratio in the hands of the intended users
  24. Fetal hematological phenotypes of various hemoglobinopathies and demonstration of embryonic hemoglobins on capillary electrophoresis: a large cohort data from prenatal screening program
  25. Development and assessment of autoverification system for routine coagulation assays in inpatient and outpatient settings of tertiary care hospital: algorithm performance and impact on laboratory efficiency
  26. Validation of new, circulating biomarkers for gliomas
  27. Short Communications
  28. Using language to evaluate curricular impact: a novel approach in assessing clinical reasoning curricula
  29. Comparative evaluation of routine coagulation testing on Stago sthemO 301 and Werfen ACL TOP 750
  30. Letters to the Editor
  31. Reversible systemic vasoconstriction syndrome: a new diagnostic family of generalized vasospasm in multiple organs
  32. The value of designating symptoms as “vague” in diagnosis
  33. Immunoglobulin E in an inverted skin-prick test for rapid detection of cutaneous antigens
Downloaded on 19.1.2026 from https://www.degruyterbrill.com/document/doi/10.1515/dx-2025-0012/html
Scroll to top button