Evidence map›Paper›PMID 41024932›Full record

ArticleTherapeutic advances in medical oncology2025

A recurrence risk score model evaluating effects of postmastectomy radiotherapy in breast cancer patients with pathologically negative lymph nodes after neoadjuvant chemotherapy: a multicenter, retrospective study.

Dan-Qiong Wang, Zhou Huang, Hong-Fen Wu, Dong-Xing Shen, Hao Jing, Hui Fang, Li Zhu, Xiao-Bo Huang, Liang-Fang Shen, Mei Shi and 7 more

Abstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2025. 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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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Dan-Qiong WangDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0009-0008-7067-0436
Zhou HuangDepartment of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China.
Hong-Fen WuDepartment of Radiation Oncology, Cancer Hospital of Jilin Province, Changchun, China.
Dong-Xing ShenDepartment of Radiotherapy, The Fourth Hospital of Hebei Medical University/Hebei Cancer Hospital, Shijiazhuang, China.
Hao JingDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hui FangDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Li ZhuDepartment of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Xiao-Bo HuangDepartment of Radiation Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Liang-Fang ShenDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, China.
Mei ShiDepartment of Radiation Oncology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Jia-Yi ChenDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Min LiuDepartment of Radiation Oncology, The First Hospital, Jilin University, Changchun, China.
Jing ChengDepartment of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ye-Xiong LiDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Road, Chaoyang District, Beijing 100021,China.ORCID https://orcid.org/0000-0003-0985-235X
Jian TieDepartment of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Haidian District, Beijing 100142, China.
Yu TangDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Road, Chaoyang District, Beijing 100021,China.
Shu-Lian WangDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Road, Chaoyang District, Beijing 100021,China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The role of postmastectomy radiotherapy (PMRT) in breast cancer patients achieving pathologically negative lymph nodes (ypN0) after neoadjuvant chemotherapy (NAC) remains controversial due to heterogeneous recurrence risks and lack of prospective evidence. Objectives: To evaluate the effects of PMRT in ypN0 patients after NAC. Design: Multicenter retrospective study. Methods: Data of 624 breast cancer patients with ypN0 was assessed to establish a recurrence risk score model based on a disease-free survival (DFS) rate-based multivariate Cox model. Moreover, the locoregional control (LRC), DFS, and overall survival (OS) rates in PMRT and non-PMRT patients were calculated using the Kaplan-Meier method. Results: All patients received a median of four NAC cycles, followed by mastectomy and axillary lymph node dissection; moreover, 257 (41.2%) patients underwent PMRT. Over a median follow-up duration of 74 months, the 5-year LRC, DFS, and OS rates for all patients were 96.6%, 90.1%, and 95.7%, respectively. The differences in the LRC, DFS, and OS rates between PMRT and non-PMRT patients were nonsignificant in the univariate and multivariate analyses. By using our recurrence risk score model based on four factors (i.e., age, clinical N stage, NAC cycle number, and pathological tumor stage after NAC), we stratified the patients into low- and high-risk groups; their 5-year rates of LRC (98.8% vs 93.9%), DFS (95.1% vs 83.8%), and OS (98.4% vs 92.4%) were significantly different (all p < 0.05). PMRT improved LRC (97.6% vs 90.8%, p = 0.027) but not DFS or OS in high-risk patients and had no benefit in low-risk patients. Conclusion: Our recurrence risk score model effectively distinguished ypN0 patients with different recurrence risk stratifications. PMRT improved LRC but not DFS or OS in high-risk patients and low-risk patients did not benefit from PMRT.

Indexed as

breast cancerneoadjuvant chemotherapypathologically negative lymph nodepostmastectomy radiotherapyrecurrence risk score model

Identifiers

PMID41024932
PMCPMC12476500

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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.