Evidence map›Paper›PMID 42173325›Full record

ArticleInternational journal of radiation oncology, biology, physics2026

Radiation Therapy De-escalation in Breast Cancer Patients With Pathologic Complete Response: An Integrated Analysis Using Real-World and Simulated Data.

Jian Wang, Jing Ning, Simona F Shaitelman, Heather Y Lin, Isabelle Bedrosian, Yu Shen

Abstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jian WangDepartments of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jing NingDepartments of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Simona F ShaitelmanBreast Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Heather Y LinDepartments of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Isabelle BedrosianBreast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: ibedrosian@mdanderson.org.
Yu ShenDepartments of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: yshen@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Statistical Methods for Integration of Multiple Data Sources toward Precision Cancer MedicineR01CA269696 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI JING NING, YU SHEN · 2022 to 2026
$1.7M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA269696
6 · The paper itself

Abstract

purposeAdvances in neoadjuvant chemotherapy (NAC) have markedly increased pathologic complete response (pCR) rates in breast cancer, prompting re-evaluation of the need for adjuvant radiation therapy (RT) in patients with excellent treatment response. The NSABP B-51 trial showed no survival benefit from regional nodal irradiation in patients achieving nodal pCR after NAC; whole-breast RT was still routinely delivered irrespective of breast response. Thus, the potential to safely omit RT in patients achieving breast pCR remains uncertain. METHODS AND MATERIALS: We conducted an integrated analysis combining real-world evidence, clinical trial data, and simulated extensions to evaluate long-term overall survival (OS) with versus without adjuvant RT in patients achieving pCR (defined as ypT0 ypN0) after NAC and breast-conserving surgery. Model inputs were derived from published trials, observational cohorts, and cancer registry data. We assessed OS across a range of local-regional recurrence (LRR) risks and time-to-recurrence distributions reflective of contemporary clinical practice.

resultsRT was associated with small OS gains across stages. For stage I disease, 5-year LRR rates of 3.0% with RT versus 7.5% without RT corresponded to 20-year OS of 85.6% and 84.0%, respectively (absolute difference 1.6%), requiring >12,000 patients for 80% power. For stage II to III disease (5-year LRR 3.0% vs 10.5%), 20-year OS was 81.6% vs 78.3%, respectively (difference 3.3%), requiring ∼3800 patients for adequate power. Treatment effects on OS were consistent across age groups (≥65 years) and in the triple-negative subtype.

conclusionsAmong patients achieving pCR after NAC, the projected OS benefit from adjuvant RT appears small. This supports efforts toward more selective RT use and suggests that RT de-escalation warrants further investigation in subgroups with favorable biology and excellent treatment response. These findings reinforce the need for response-adapted decision frameworks and the incorporation of pCR into future RT guidelines. As treatment becomes increasingly personalized, integrating pathologic response into RT decision-making may reduce treatment burden without compromising outcomes. Prospective randomized trials are needed to validate these findings.

Identifiers

PMID42173325
PMCPMC13317995

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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.