Evidence map›Paper›PMID 32914007›Full record

ReviewJCO precision oncology2019

Predictive Biomarkers in Metastatic Colorectal Cancer: A Systematic Review.

Juan Ruiz-Bañobre, Raju Kandimalla, Ajay Goel

Abstract readReview
In one paragraph

Review in JCO precision oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Exploring Potential Epigenetic Biomarkers for Colorectal Cancer Metastasis.International journal of molecular sciences · 2024
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. InoperableMolecular and clinical oncology · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. UndetectableJCO precision oncology · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Juan Ruiz-BañobreArquitecto Marcide University Hospital, Ferrol, Spain.
Raju KandimallaBaylor University Medical Center, Dallas, TX.
Ajay GoelBaylor University Medical Center, Dallas, TX.

Funding

Noncoding RNA Biomarkers for Noninvasive and Early Detection of Pancreatic CancerU01CA214254 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI Ajay Goel, DANIEL D VON HOFF · 2017 to 2026
$8.9M
Aspirin and Cancer Prevention in Lynch Syndrome: From Cell to Population DataU01CA187956 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY, WODARZ, DOMINIK F · 2014 to 2018
$2.7M
MicroRNA Biomarkers for Determining Treatment Response in Colorectal CancerR01CA202797 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2016 to 2020
$1.9M
Development of microRNA Biomarkers For Noninvasive Detection of Colorectal CancerR01CA184792 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2015 to 2019
$1.8M
METHYLATION BIOMARKER DEVELOPMENT FOR NONINVASIVE DETECTION OF COLORECTAL CANCERR01CA181572 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2014 to 2018
$1.6M
NCI NIH HHS R01 CA181572NCI NIH HHS R01 CA184792NCI NIH HHS R01 CA202797NCI NIH HHS U01 CA187956NCI NIH HHS U01 CA214254
6 · The paper itself

Abstract

purposeThe development and use of predictive biomarkers to guide treatment decisions are paramount not only for improving survival in patients with metastatic colorectal cancer (mCRC), but also for sparing them from unnecessary toxicity and reducing the economic burden of expensive treatments. We conducted a systematic review of published studies and evaluated the predictive biomarker landscape in the mCRC setting from a molecular and clinical viewpoint.

methodsStudies analyzing predictive biomarkers for approved therapies in patients with mCRC were identified systematically using electronic databases. Preclinical studies and those providing no relevant information were excluded.

resultsA total of 173 studies comprising 148 biomarkers were selected for final analysis. Of all the biomarkers analyzed, 1.4% (two of 148) were explored in a prospective manner, whereas 98.6% (146 of 148) were evaluated in retrospective studies. Of the latter group, 78.8% (115 of 146) were not tested in subsequent phases, 9.6% (14 of 146) were tested in other retrospective cohorts, 8.9% (13 of 146) were retrospectively tested in at least one or more randomized cohorts, and only 2.7% (four of 146) were prospectively tested in a clinical trial. Finally, only 1.4% (two of 148) were validated sufficiently and are recognized as biomarkers for guiding treatment decision making in patients with mCRC. These markers were

conclusionDespite notable efforts to identify predictive biomarkers for various therapies used in the mCRC setting, because of a lack of data beyond retrospective studies and successful biomarker-driven approaches, only two molecular biomarkers have thus far found their translation into the clinic, highlighting the imperative need for implementing novel strategies and additional research in this clinically important field.

Identifiers

PMID32914007
PMCPMC7446314

What OpenQuestion holds

Textmetadata
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Registered trials

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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.