Evidence map›Paper›PMID 28012085›Full record

ArticleBreast cancer research and treatment2017

The influence of 21-gene recurrence score assay on chemotherapy use in a population-based sample of breast cancer patients.

Yun Li, Allison W Kurian, Irina Bondarenko, Jeremy M G Taylor, Reshma Jagsi, Kevin C Ward, Ann S Hamilton, Steven J Katz, Timothy P Hofer

Abstract readMulticenter Study
In one paragraph

Article in Breast cancer research and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

9 authors at 4 institutions in 1 country.

Yun LiUniversity of Michigan, Department of Biostatistics.
Allison W KurianStanford University, Departments of Medicine and Health Research and Policy.
Irina BondarenkoUniversity of Michigan, Department of Biostatistics.
Jeremy M G TaylorUniversity of Michigan, Department of Biostatistics.
Reshma JagsiUniversity of Michigan, Department of Radiation Oncology.
Kevin C WardEmory University, Department of Epidemiology.
Ann S HamiltonUniversity of Southern California, Keck School of Medicine.
Steven J Katz *University of Michigan, Department of Internal Medicine.
Timothy P Hofer *University of Michigan, Department of Internal Medicine.
University of Michigan–Ann Arbor · USEmory University · USStanford University · USUniversity of Southern California · US

Funding

CALIFORNIA COORDINATED CANCER PREVENTION & CONTROL PROGRAMU58DP003862 · DP · CALIFORNIA STATE DEPT OF PUBLIC HEALTH · PI SNIPES, KURT P · 2012 to 2014
$31.5M
GEORGIA COMPREHENSIVE CANCER CONTROL PROGRAMU58DP003875 · DP · GEORGIA DIVISION OF PUBLIC HEALTH · PI O'CONNOR, JEAN CATHERINE · 2012 to 2014
$15.9M
The Challenge of Individualizing Treatments for Patients with Breast CancerP01CA163233 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HOFER, TIMOTHY P. · 2012 to 2016
$13.4M
CCR NIH HHS HHSN261201300015CNCCDPHP CDC HHS U58 DP003862NCCDPHP CDC HHS U58 DP003875NCI NIH HHS HHSN261201000034CNCI NIH HHS HHSN261201000035CNCI NIH HHS HHSN261201000035INCI NIH HHS HHSN261201000140CNCI NIH HHS P01 CA163233
6 · The paper itself

Abstract

purposeTo quantify the influence of RS assay on changing chemotherapy plans in a general practice setting using causal inference methods.

methodsWe surveyed 3880 newly diagnosed breast cancer patients in Los Angeles and Georgia in 2013-14. We used inverse propensity weighting and multiple imputations to derive complete information for each patient about treatment status with and without testing.

resultsA half of the 1545 women eligible for testing (ER+ or PR+, HER2-, and stage I-II) received RS. We estimate that 30% (95% confidence interval (CI) 10-49%) of patients would have changed their treatment selections after RS assay, with 10% (CI 0-20%) being encouraged to undergo chemotherapy and 20% (CI 10-30%) being discouraged from chemotherapy. The subgroups whose treatment selections would be changed the most by RS were patients with positive nodes (44%; CI 24-64%), larger tumor (43% for tumor size >2 cm; CI 23-62%), or younger age (41% for <50 years, CI 23-58%). The assay was associated with a net reduction in chemotherapy use by 10% (CI 4-16%). The reduction was much greater for women with positive nodes (31%; CI 21-41%), larger tumor (30% for tumor size >2 cm; CI 22-38%), or younger age (22% for <50 years; CI 9-35%).

conclusionRS substantially changed chemotherapy treatment selections with the largest influence among patients with less favorable pre-test prognosis. Whether this is optimal awaits the results of clinical trials addressing the utility of RS testing in selected subgroups.

Indexed as

Pharmacogenomic TestingAdultAgedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsFemaleHumansMiddle AgedNeoplasm GradingNeoplasm MetastasisNeoplasm Recurrence, LocalNeoplasm StagingRisk FactorsSEER ProgramYoung AdultBiomarkers, Tumor21-gene recurrence score assayBreast cancerChemotherapyPopulation studies

Identifiers

PMID28012085
PMCPMC5243200
OpenAlexW2562359069

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.