Evidence map›Paper›PMID 27383192›Full record

SynthesisPloS one2016

Specificity of Genetic Biomarker Studies in Cancer Research: A Systematic Review.

Garrett Green, Ruben Carmona, Kaveh Zakeri, Chih-Han Lee, Saif Borgan, Zaid Marhoon, Andrew Sharabi, Loren K Mell

Abstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Runt-related transcription factors in human carcinogenesis: a friend or foe?Journal of cancer research and clinical oncology · 2023
    Review
  2. Article
  3. Article
  4. Review
  5. Review
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

8 authors.

Garrett GreenMoores Cancer Center, University of California San Diego, La Jolla, California, United States of America.ORCID http://orcid.org/0000-0002-3263-1654
Ruben CarmonaMoores Cancer Center, University of California San Diego, La Jolla, California, United States of America.
Kaveh ZakeriMoores Cancer Center, University of California San Diego, La Jolla, California, United States of America.
Chih-Han LeeMoores Cancer Center, University of California San Diego, La Jolla, California, United States of America.
Saif BorganMoores Cancer Center, University of California San Diego, La Jolla, California, United States of America.
Zaid MarhoonMoores Cancer Center, University of California San Diego, La Jolla, California, United States of America.
Andrew SharabiMoores Cancer Center, University of California San Diego, La Jolla, California, United States of America.
Loren K MellMoores Cancer Center, University of California San Diego, La Jolla, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As genetic information becomes more readily available, there is increasing demand from both patients and providers to develop personalized approaches to cancer care. Investigators are increasingly reporting numbers of studies correlating genomic signatures and other biomarkers to survival endpoints. The extent to which cancer-specific and non-specific effects are reported in contemporary studies is unknown. In this review of 85 high-impact studies associating genetic biomarkers with cancer outcomes, 95% reported significant associations with event-free survival outcomes, yet less than half reported effects on a cancer-specific endpoint. This methodology leaves open the possibility that observed associations are unrelated to cancer.

Indexed as

Biomarkers, TumorDisease-Free SurvivalHumansNeoplasmsOutcome Assessment, Health CarePrognosisSensitivity and SpecificityStatistics as TopicTreatment OutcomeBiomarkers, Tumor

Identifiers

PMID27383192
PMCPMC4934683

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.