Evidence map›Paper›PMID 33306425›Full record

SynthesisJournal of clinical oncology : official journal of the American Society of Clinical Oncology2021

Development and Validation of a Tool Integrating the 21-Gene Recurrence Score and Clinical-Pathological Features to Individualize Prognosis and Prediction of Chemotherapy Benefit in Early Breast Cancer.

Joseph A Sparano, Michael R Crager, Gong Tang, Robert J Gray, Salomon M Stemmer, Steven Shak

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 2 pooled it
6.9field-weighted citation impact, top 2% 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

87 citing papers in PubMed, 2 syntheses or guidelines pooled it, 142 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Joseph A SparanoMontefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York.ORCID 0000-0002-9031-2010
Michael R CragerExact Sciences, Redwood City, CA.ORCID 0000-0002-3594-6299
Gong TangUniversity of Pittsburgh, NRG Oncology Statistical and Data Management Center, Pittsburgh, PA.
Robert J GrayDana Farber Cancer Institute, ECOG-ACRIN Statistical Center, Boston, MA.ORCID 0000-0002-5724-4917
Salomon M StemmerDavidoff Center, Rabin Medical Center, Petah Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Steven ShakExact Sciences, Redwood City, CA.
Albert Einstein College of Medicine · USDana-Farber Cancer Institute · USTel Aviv University · ILUniversity of Pittsburgh · US

Funding

NRG Oncology Network Group Operations Center - GY9 BIQSFP Reports/BudgetsU10CA180868 · NCI · NRG ONCOLOGY FOUNDATION, INC. · PI NORMAN WOLMARK · 2014 to 2026
$206.8M
Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$167.6M
Statistics CoreU10CA180822 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Mei-Yin C Polley · 2014 to 2026
$146.4M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO, CONSTANTINE A. GATSONIS · 2014 to 2026
$111.2M
ECOG-ACRIN Biospecimen Bank to Support NCTNU24CA196172 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI STANLEY R. HAMILTON, Scott D Jewell · 2015 to 2026
$41.1M
Montefiore Academic Community NCORP ProgramUG1CA189859 · NCI · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI Balazs Halmos, Della Makower · 2014 to 2026
$10.8M
NCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180820NCI NIH HHS U10 CA180822NCI NIH HHS U10 CA180868NCI NIH HHS U24 CA196172NCI NIH HHS UG1 CA189859
6 · The paper itself

Abstract

purposeThe 21-gene recurrence score (RS) is prognostic for distant recurrence (DR) and predictive for chemotherapy benefit in early breast cancer, whereas clinical-pathological factors are only prognostic. Integration of genomic and clinical features offers the potential to guide adjuvant chemotherapy use with greater precision.

methodsWe developed a new tool (RSClin) that integrates RS with tumor grade, tumor size, and age using a patient-specific meta-analysis including 10,004 women with hormone receptor-positive, human epidermal growth factor receptor 2-negative, and node-negative breast cancer who received endocrine therapy alone in the B-14 (n = 577) and TAILORx (n = 4,854) trials or plus chemotherapy in TAILORx (n = 4,573). Cox models for RSClin were compared with RS alone and clinical-pathological features alone using likelihood ratio tests. RSClin estimates of DR used a baseline risk with TAILORx event rates to reflect current medical practice. A patient-specific estimator of absolute chemotherapy benefit was computed using individualized relative chemotherapy effect from the randomized TAILORx and B-20 trials. External validation of risk estimation was performed by comparing RSClin estimated risk and observed risk in 1,098 women in the Clalit registry.

resultsRSClin provides more prognostic information (likelihood ratio χ

conclusionThe RSClin tool integrates clinical-pathological and genomic risk to guide adjuvant chemotherapy in node-negative breast cancer and provides more individualized information than clinical-pathological or genomic data alone.

Indexed as

Breast NeoplasmsFemaleGene Expression ProfilingHumansNeoplasm Recurrence, LocalPrognosis

Identifiers

PMID33306425
PMCPMC8078482
OpenAlexW3112725886

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.