Evidence map›Paper›PMID 26473189›Full record

ReviewClinical cancer research : an official journal of the American Association for Cancer Research2015

Next-Generation Sequencing to Guide Clinical Trials.

Lillian L Siu, Barbara A Conley, Scott Boerner, Patricia M LoRusso

Abstract readEditorialReview
In one paragraph

Review in Clinical cancer research : an official journal of the American Association for Cancer Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

28 citing papers in PubMed, 73 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Cost burden of diffuse large B-cell lymphoma.Expert review of pharmacoeconomics & outcomes research · 2019
    Review
  16. Review
  17. Review
  18. Database of evidence for precision oncology portal.Bioinformatics (Oxford, England) · 2018
    Article
  19. Article
  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

4 authors at 1 institution in 1 country.

Lillian L SiuPrincess Margaret Cancer Centre, University of Toronto, Toronto, Canada. lillian.siu@uhn.ca.
Barbara A ConleyDivision of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, Maryland.
Scott BoernerYale Cancer Center, Yale School of Medicine, New Haven, Connecticut.
Patricia M LoRussoYale Cancer Center, Yale School of Medicine, New Haven, Connecticut.
University of Toronto · CA

Funding

Princess Margaret Phase I Consorium (PMP1C)UM1CA186644 · NCI · UNIVERSITY HEALTH NETWORK · PI Philippe Bedard, Kevin D Courtney · 2014 to 2026
$16.6M
NCI NIH HHS UM1 CA186644
6 · The paper itself

Abstract

Rapidly accruing knowledge of the mutational landscape of malignant neoplasms, the increasing facility of massively parallel genomic sequencing, and the availability of drugs targeting many "driver" molecular abnormalities have spurred the oncologic community to consider how to use these new tools to improve cancer treatment. In order to assure that assignment of patients to a particular targeted treatment is likely to be beneficial to the patient, it will be necessary to conduct appropriate clinical research. It is clear that clinical (histology and stage) eligibility criteria are not sufficient for most clinical trials using agents that target mutations that are present in only a minority of patients. Recently, several clinical trial designs have been suggested to test the benefit of targeted treatment in molecular and/or clinical subgroups of patients. However, challenges remain in the implementation of such trials, including choice of assay, levels of evidence regarding gene variants, tumor heterogeneity, identifying resistance mechanisms, the necessity of screening large numbers of patients, infrastructure needs, and collaboration of investigators and industry. This article reviews current trial designs and discusses some of the considerations, advantages, and drawbacks of designing clinical trials that depend on particular molecular variants as eligibility criteria.

Indexed as

Antineoplastic AgentsBiomedical ResearchClinical Trials as TopicHigh-Throughput Nucleotide SequencingHumansNeoplasmsAntineoplastic Agents

Identifiers

PMID26473189
PMCPMC4610034
OpenAlexW2214455720

What OpenQuestion holds

Textmetadata
LicenceTDM
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.