Evidence map›Paper›PMID 40960828›Full record

ArticleJAMA network open2025

Adjuvant Radiation and Endocrine Therapy in Early-Stage Breast Cancer With Low Genomic Risk.

David Gibbes Miller, Lillian A Boe, Hannah Y Wen, Boris Mueller, John J Cuaron, J Isabelle Choi, Michael B Bernstein, Beryl McCormick, Simon N Powell, Atif J Khan and 1 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

11 authors.

David Gibbes MillerDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Lillian A BoeDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Hannah Y WenDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Boris MuellerDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
John J CuaronDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
J Isabelle ChoiDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Michael B BernsteinDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Beryl McCormickDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Simon N PowellDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Atif J KhanDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Lior Z BraunsteinDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Importance: De-escalation of adjuvant therapy is feasible for select older patients with early-stage breast cancer. It is not known whether we can expand de-escalation options for younger patients by incorporating genomic biomarkers, such as the Oncotype DX 21-gene recurrence score (ODX RS). Objective: To evaluate outcomes of radiotherapy (RT) or endocrine therapy (ET) de-escalation for patients aged 50 to 69 years with early-stage breast cancer and an ODX RS of 18 or below. Design, Setting, and Participants: This cohort study was conducted at a comprehensive cancer center among patients aged 50 to 69 years with T1N0, hormone receptor-positive, ERBB2-negative breast cancer, with an ODX RS of 18 or below. Patients were treated between January 2007 and January 2023 with lumpectomy and ET, with or without adjuvant RT. Patients were considered adherent to ET if they received 5 years of ET or more, or if it was ongoing at last follow-up; nonadherence included halting ET within 5 years after initiation. Main Outcomes and Measures: Cumulative incidence of locoregional recurrence (LRR) was the primary end point, with death and non-local-regional events as competing risks. Results: This analysis included 2249 patients (median [IQR] age, 60 years [55-65 years]) with a median (IQR) follow-up of 63.3 months (34.1-96.0 months), of whom 2075 (92.3%) received RT. The 72-month cumulative incidence of LRR without RT was 8.0% (95% CI, 3.0%-16.0%) vs 1.1% with RT (95% CI, 0.6%-1.7%) (P < .001). When stratified by RT and ET adherence, patients receiving RT had the lowest LRR risk regardless of ET duration (72-month LRR: RT and ET adherence, 1.1% [95% CI, 0.6%-2.1%] vs RT and ET nonadherence, 0.9% [95% CI, 0.3%-2.1%]). Adherence to ET alone (without RT) had an estimated 72-month LRR of 5.5% (95% CI, 1.0%-16.0%). Those who did not receive RT and were ET nonadherent had an estimated 72-month LRR of 11.0% (95% CI, 3.3%-25.0%). No association was observed between receipt of RT and OS (P = .2). Conclusions and Relevance: In this cohort study of patients aged 50 to 69 years who underwent lumpectomy for early-stage breast cancer with ODX RS of 18 or below, we found significantly lower estimated LRR rates among those who completed at least 1 form of adjuvant therapy. For patients willing to accept a low absolute risk, but slightly higher relative risk of LRR with de-escalated therapy, ODX RS may be a valuable tool in selecting younger candidates for RT omission than current guidelines support.

Indexed as

Antineoplastic Agents, HormonalBreast NeoplasmsAgedChemotherapy, AdjuvantCohort StudiesFemaleHumansMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingRadiotherapy, AdjuvantAntineoplastic Agents, Hormonal

Identifiers

PMID40960828
PMCPMC12444576

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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.