Evidence map›Paper›PMID 26430161›Full record

ReviewGenome research2015

The path to routine use of genomic biomarkers in the cancer clinic.

Paul C Boutros

Abstract readReview
In one paragraph

Review in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. The Prognostic Value of the Hedgehog Signaling Pathway in Ovarian Cancer.International journal of molecular sciences · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Cytogenetics and Cytogenomics Evaluation in Cancer.International journal of molecular sciences · 2019
    Review
  16. Review
  17. Review
  18. Article
  19. Biomarkers of Duchenne muscular dystrophy: current findings.Degenerative neurological and neuromuscular disease · 2018
    Review
  20. 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

1 author.

Paul C BoutrosInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto M5G 0A3, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto M5S 1A8, Ontario, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto M5S 1A8, Ontario, Canada.

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

It has been almost 15 years since the first microarray-based studies creating multigene biomarkers to subtype and predict survival of cancer patients. This Perspective looks at why only a handful of genomic biomarkers have reached clinical application and what advances are needed over the next 15 years to grow this number. I discuss challenges in creating biomarkers and reproducing them at the genomic and computational levels, including the problem of spatio-genomic heterogeneity in an individual cancer. I then outline the challenges in translating newly discovered genome-wide or regional events, like trinucleotide mutation signatures, kataegis, and chromothripsis, into biomarkers, as well as the importance of incorporating prior biological knowledge. Lastly, I outline the practical problems of pharmaco-economics and adoption: Are new biomarkers viewed as economically rational by potential funders? And if they are, how can their results be communicated effectively to patients and their clinicians? Genomic-based diagnostics have immense potential for transforming the management of cancer. The next 15 years will see a surge of research into the topics here that, when combined with a stream of new targeted therapies being developed, will personalize the cancer clinic.

Indexed as

Biomarkers, TumorGenetic TestingGenomicsHealth CommunicationHumansNeoplasmsReproducibility of ResultsBiomarkers, Tumor

Identifiers

PMID26430161
PMCPMC4579336

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.