Evidence map›Paper›PMID 42118193›Full record

ArticleBreast cancer research and treatment2026

Exploring the potential of postmastectomy radiotherapy in cN + and ypN0 breast cancer patients following neoadjuvant chemotherapy.

Yizi Jin, Huiyue Li, Zhaozhi Yang, Sheng Luo, Songyun Zhang, Li Tang, Samantha M Thomas, Jennifer K Plichta, Jian Zhang

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Article in Breast cancer research and treatment, 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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5 · Who and what money

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9 authors.

Yizi JinPhase I Unit, Fudan University Shanghai Cancer Center, No. 270, Dong'an Road, Shanghai, 200032, China.
Huiyue LiDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA.
Zhaozhi YangDepartment of Oncology, Shanghai Medical College, Fudan University, No. 130, Dong'an Road, Shanghai, 200032, China.
Sheng LuoDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA.
Songyun ZhangDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA.
Li TangDepartment of Biostatistics, St Jude Children's Research Hospital, Memphis, TN, USA.
Samantha M ThomasDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA.
Jennifer K PlichtaDuke Cancer Institute, Duke University Medical Center, Durham, NC, 27710, USA. jennifer.plichta@duke.edu.
Jian ZhangPhase I Unit, Fudan University Shanghai Cancer Center, No. 270, Dong'an Road, Shanghai, 200032, China. syner2000@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to determine the potential association of postmastectomy radiotherapy and survival in patients with clinically node-positive axillary breast cancer who achieved ypN0 after neoadjuvant chemotherapy.

methodsWe conducted a retrospective cohort study using the National Cancer Database. Eligible patients were women aged 18-80 with cT1-2, cN+ invasive breast cancer and achieving ypN0 status. Inverse probability weighting (IPW)-based analyses were used to assess the differences in overall survival (OS) between the radiotherapy and no radiotherapy groups. Absolute 5-year OS rates between the two groups were analyzed by nonparametric sliding-window subpopulation treatment effect pattern plot (STEPP) analysis. Sensitivity analyses were conducted using multivariable Cox regressions.

resultsWe identified 3,351 patients who met eligibility criteria, of whom 57.0% (N = 1,910) did not receive radiotherapy and 43.0% (N = 1,441) did receive radiotherapy. No significant differences in OS were observed between the radiotherapy and non-radiotherapy groups after adjustment (hazard ratio = 1.01, P = .96). The STEPP analysis demonstrated no significant differences between the RT and no RT groups, regardless of the composite risk. Subgroup analyses showed that the difference in OS rates between the two groups was significantly correlated with cN category, and the advantage associated with radiotherapy receipt was only observed in cN2-3 patients but not in cN1 patients (hazard ratio = 0.55; P-interaction = 0.024).

conclusionsThis study further supports the NSABP B51 findings, suggesting that omitting postmastectomy radiotherapy may be reasonable for cT1-2N1M0 patients who achieved ypN0. However, postmastectomy radiotherapy may be a consideration for patients with more advanced nodal disease (cN2-3) who achieve ypN0 status after NAC, indicating that a more tailored approach may be warranted.

Indexed as

Breast NeoplasmsAdolescentAdultAgedAged, 80 and overChemotherapy, AdjuvantCombined Modality TherapyFemaleHumansMastectomyMiddle AgedNeoadjuvant TherapyNeoplasm StagingRadiotherapy, AdjuvantRetrospective StudiesTreatment OutcomeBreast cancerInverse probability weightingNeoadjuvant chemotherapyPostmastectomy radiotherapySurvival benefit

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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.