Evidence map›Paper›PMID 27388699›Full record

ReviewNature reviews. Cancer2016

Biomarker development in the precision medicine era: lung cancer as a case study.

Ashley J Vargas, Curtis C Harris

Abstract readReview
In one paragraph

Review in Nature reviews. Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 297 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
297citing papers in PubMed, 2 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

297 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Evaluation of ICAM and VCAM as biomarkers in serum and bronchoscopic lavage samples of lung cancer patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  10. Article
  11. Article
  12. Review
  13. Multi-omics and bulk sequencing analyses reveal the roles of prognosis and immune aspects of super-enhancer-induced ZBED2 in pan-cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

237 more citing papers are in PubMed but not listed here.

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

2 authors.

Ashley J VargasLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Room 3068A, MSC 425, 837 Convent Drive, Bethesda, Maryland 20892-4258, USA.
Curtis C HarrisLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Room 3068A, MSC 425, 837 Convent Drive, Bethesda, Maryland 20892-4258, USA.

Funding

Precision Medicine of CancerZIABC011492 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 2013 to 2025
$23.2M
Molecular Epidemiology of Human Lung CancerZ01BC005480 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 1996 to 2008
$2.3M
Intramural NIH HHS Z01 BC005480
6 · The paper itself

Abstract

Precision medicine relies on validated biomarkers with which to better classify patients by their probable disease risk, prognosis and/or response to treatment. Although affordable 'omics'-based technology has enabled faster identification of putative biomarkers, the validation of biomarkers is still stymied by low statistical power and poor reproducibility of results. This Review summarizes the successes and challenges of using different types of molecule as biomarkers, using lung cancer as a key illustrative example. Efforts at the national level of several countries to tie molecular measurement of samples to patient data via electronic medical records are the future of precision medicine research.

Indexed as

Precision MedicineBiomarkers, TumorHumansLung NeoplasmsPrognosisBiomarkers, Tumor

Identifiers

PMID27388699
PMCPMC6662593

What OpenQuestion holds

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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.