Evidence map›Paper›PMID 32923860›Full record

ArticleJCO precision oncology2019

Prospective Decision Analysis Study of Clinical Genomic Testing in Metastatic Breast Cancer: Impact on Outcomes and Patient Perceptions.

Daniel G Stover, Raquel E Reinbolt, Elizabeth J Adams, Sarah Asad, Katlyn Tolliver, Mahmoud Abdel-Rasoul, Cynthia D Timmers, Susan Gillespie, James L Chen, Siraj Mahamed Ali and 12 more

Open access · bronzeAbstract read
In one paragraph

Article in JCO precision oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 40% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  10. Expert Discussion: Predictive Markers.Breast care (Basel, Switzerland) · 2021
    Article
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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

22 authors at 4 institutions in 1 country.

Daniel G StoverThe Ohio State University College of Medicine, Columbus, OH.
Raquel E ReinboltThe Ohio State University College of Medicine, Columbus, OH.
Elizabeth J AdamsThe Ohio State University Comprehensive Cancer Center, Columbus, OH.
Sarah AsadThe Ohio State University Comprehensive Cancer Center, Columbus, OH.
Katlyn TolliverThe Ohio State University Comprehensive Cancer Center, Columbus, OH.
Mahmoud Abdel-RasoulThe Ohio State University, Columbus, OH.
Cynthia D TimmersThe Ohio State University College of Medicine, Columbus, OH.
Susan GillespieThe Ohio State University Comprehensive Cancer Center, Columbus, OH.
James L ChenThe Ohio State University College of Medicine, Columbus, OH.
Siraj Mahamed AliFoundation Medicine, Cambridge, MA.
Katharine A CollierThe Ohio State University College of Medicine, Columbus, OH.
Mathew A CherianThe Ohio State University College of Medicine, Columbus, OH.
Anne M NoonanThe Ohio State University College of Medicine, Columbus, OH.
Sagar SardesaiThe Ohio State University College of Medicine, Columbus, OH.
Jeffrey VanDeusenThe Ohio State University College of Medicine, Columbus, OH.
Robert WesolowskiThe Ohio State University College of Medicine, Columbus, OH.
Nicole WilliamsThe Ohio State University College of Medicine, Columbus, OH.
Clara N LeeThe Ohio State University Comprehensive Cancer Center, Columbus, OH.
Charles L ShapiroMt. Sinai Hospital, New York, NY.
Erin R MacraeColumbus Oncology, Columbus, OH.
Bhuvaneswari RamaswamyThe Ohio State University College of Medicine, Columbus, OH.
Maryam B LustbergThe Ohio State University College of Medicine, Columbus, OH.
The Ohio State University · USColumbus Oncology and Hematology Associates · USFoundation Medicine (United States)Sinai Hospital · US

Funding

Decoding tumors to achieve better clinical outcomesR50CA211529 · NCI · OHIO STATE UNIVERSITY · PI TIMMERS, CYNTHIA · 2017 to 2019
$515k
NCI NIH HHS R50 CA211529
6 · The paper itself

Abstract

purposeTo evaluate the impact of targeted DNA sequencing on selection of cancer therapy for patients with metastatic breast cancer (MBC). PATIENTS AND

methodsIn this prospective, single-center, single-arm trial, patients with MBC were enrolled within 10 weeks of starting a new therapy. At enrollment, tumor samples underwent next-generation sequencing for any of 315 cancer-related genes to high depth (> 500×) using FoundationOne CDx. Sequencing results were released to providers at the time of disease progression, and physician treatment recommendations were assessed via questionnaire. We evaluated three prespecified questions to assess patients' perceptions of genomic testing.

resultsIn all, 100 patients underwent genomic testing, with a median of five mutations (range, 0 to 13 mutations) detected per patient. Genomic testing revealed one or more potential therapies in 98% of patients (98 of 100), and 60% of patients (60 of 100) had one or more recommended treatments with level I/II evidence for actionability. Among the 94 genomic text reports that were released, there was physician questionnaire data for 87 patients (response rate, 92.6%) and 31.0% of patients (27 of 87) had treatment change recommended by their physician. Of these, 37.0% (10 of 27) received the treatment supported by genomic testing. We did not detect a statistically significant difference in time-to-treatment failure (log-rank

conclusionIn this prospective study, genomic profiling of tumors in patients with MBC frequently identified potential treatments and resulted in treatment change in a minority of patients. Patients whose therapy was not changed on the basis of genomic testing seemed to have a decrease in confidence of treatment success.

Identifiers

PMID32923860
PMCPMC7446448
OpenAlexW2988559250

What OpenQuestion holds

Textmetadata
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.