ReviewCancer research2012
Why your new cancer biomarker may never work: recurrent patterns and remarkable diversity in biomarker failures.
Review in Cancer research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
129 citing papers in PubMed, 6 syntheses or guidelines pooled it, 233 citations in OpenAlex.
- Development of a prognostic risk model for clear cell renal cell carcinoma by systematic evaluation of DNA methylation markers.Clinical epigenetics · 2021Pooled it
- Target Product Profiles for medical tests: a systematic review of current methods.BMC medicine · 2020Pooled it
- Systematic review and REMARK scoring of renal cell carcinoma prognostic circulating biomarker manuscripts.PloS one · 2019Pooled it
- Pooled it
- E2F4 Program Is Predictive of Progression and Intravesical Immunotherapy Efficacy in Bladder Cancer.Molecular cancer research : MCR · 2015Pooled it
- Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer.Journal of the National Cancer Institute · 2014Pooled it
- Challenges in developing a validated biomarker for angiogenesis inhibitors: the motesanib experience.PloS one · 2014Trial
- Artificial intelligence in biomarker discovery for diseases: diagnostic and therapeutic prospects.Signal transduction and targeted therapy · 2026Review
- Article
- Benchmarking computational methods for multi-omics biomarker discovery in cancer.Briefings in bioinformatics · 2026Article
- Innovations in biomarker stratification for precision oncology.Clinical and experimental medicine · 2026Review
- A Practical Roadmap for Clinical Translation of Metabolic Biomarkers: A Review.International journal of molecular sciences · 2026Review
- Optical Waveguide Lightmode Spectroscopy: A Versatile Technique for Real-Time, Label-Free Biosensing.Sensors (Basel, Switzerland) · 2026Review
- Rethinking biomarker strategy in gastric cancer immunotherapy: from tumor to host.Frontiers in immunology · 2026Review
- Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2026Article
- Biomarkers for predicting immunotherapy response and resistance in glioblastoma.Frontiers in immunology · 2026Review
- Multi-omics strategies for biomarker discovery and application in personalized oncology.Molecular biomedicine · 2025Review
- TMB as a predictive biomarker for ICI response in TNBC: current evidence and future directions for augmented anti-tumor responses.Clinical and experimental medicine · 2025Review
- Immunoprofiling at an Institutional Scale Reveals That High Numbers of Intratumoral CD8JCO precision oncology · 2025Article
- Development and application of a novel tumor habitat analysis technique based on dynamical modeling.Medical physics · 2025Article
69 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Less than 1% of published cancer biomarkers actually enter clinical practice. Although best practices for biomarker development are published, optimistic investigators may not appreciate the statistical near-certainty and diverse modes by which the other 99% (likely including your favorite new marker) do indeed fail. Here, patterns of failure were abstracted for classification from publications and an online database detailing marker failures. Failure patterns formed a hierarchical logical structure, or outline, of an emerging, deeply complex, and arguably fascinating science of biomarker failure. A new cancer biomarker under development is likely to have already encountered one or more of the following fatal features encountered by prior markers: lack of clinical significance, hidden structure in the source data, a technically inadequate assay, inappropriate statistical methods, unmanageable domination of the data by normal variation, implausibility, deficiencies in the studied population or in the investigator system, and its disproof or abandonment for cause by others. A greater recognition of the science of biomarker failure and its near-complete ubiquity is constructive and celebrates a seemingly perpetual richness of biologic, technical, and philosophical complexity, the full appreciation of which could improve the management of scarce research resources.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.