Evidence map›Paper›PMID 26987624›Full record

ReviewCancer letters2017

Precision oncology: A new era of cancer clinical trials.

Lindsay A Renfro, Ming-Wen An, Sumithra J Mandrekar

Abstract readReview
In one paragraph

Review in Cancer letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Review
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  8. Review
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  10. Article
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  12. Article
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  14. Article
  15. Modernizing Clinical Trial Eligibility Criteria: Recommendations of the ASCO-Friends of Cancer Research Prior Therapies Work Group.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  16. Review
  17. Current status of Bayesian clinical trials for oncology, 2020.Contemporary clinical trials communications · 2020
    Review
  18. Article
  19. Article
  20. 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.

Lindsay A RenfroDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA. Electronic address: renfro.lindsay@mayo.edu.
Ming-Wen AnDepartment of Mathematics and Statistics, Vassar College, Poughkeepsie, NY, USA.
Sumithra J MandrekarDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.

Funding

Mayo Clinic Center for Translational Science ActivitiesKL2TR000136 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$6.6M
Methodology for development, validation, and use of novel endpoints in oncologyR01CA174779 · NCI · MAYO CLINIC ROCHESTER · PI MANDREKAR, SUMITHRA JAY · 2014 to 2017
$1.2M
NCATS NIH HHS KL2 TR000136NCI NIH HHS R01 CA174779
6 · The paper itself

Abstract

Traditionally, site of disease and anatomic staging have been used to define patient populations to be studied in individual cancer clinical trials. In the past decade, however, oncology has become increasingly understood on a cellular and molecular level, with many cancer subtypes being described as a function of biomarkers or tumor genetic mutations. With these changes in the science of oncology have come changes to the way we design and perform clinical trials. Increasingly common are trials tailored to detect enhanced efficacy in a patient subpopulation, e.g. patients with a known biomarker value or whose tumors harbor a specific genetic mutation. Here, we provide an overview of traditional and newer biomarker-based trial designs, and highlight lessons learned through implementation of several ongoing and recently completed trials.

Indexed as

Biomarkers, TumorClinical Trials as TopicHumansMolecular Targeted TherapyNeoplasmsPrecision MedicineResearch DesignBiomarkers, TumorAdaptive designBiomarker-based designClinical trialOncology

Identifiers

PMID26987624
PMCPMC5023449

What OpenQuestion holds

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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.