Evidence map›Paper›PMID 41234837›Full record

ArticleTranslational cancer research2025

Development and validation of nomograms predicting survival in operable breast cancer patients at reproductive age after breast conserving surgery and postoperative radiotherapy based on SEER database.

Sirui Zhu, Ke Zhang, Wei Lu, Huaiyu Yang, Chenxuan Yang, Changyuan Guo, Lei Guo, Xuemin Xue, Zhongzhao Wang, Lixue Xuan

Abstract read
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Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Sirui Zhu *Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ke Zhang *Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wei Lu *Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Huaiyu YangDepartment of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chenxuan YangDepartment of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Changyuan GuoDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lei GuoDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xuemin XueDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhongzhao WangDepartment of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lixue XuanDepartment of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer (BC) in women of reproductive age (<45 years) is characterized by aggressive biology and elevated recurrence risk despite curative breast-conserving surgery (BCS) and radiotherapy. Current staging systems inadequately predict outcomes in this population, necessitating precision tools to guide therapy. This study aims to develop validated nomograms integrating clinicopathologic variables to improve survival prediction and therapeutic personalization for young operable BC patients. Methods: Using the Surveillance, Epidemiology, and End Results (SEER) database (2010-2016), we analyzed 9,477 women aged 20-45 years with operable BC (T1-3N0-1M0) treated with BCS and radiotherapy. Prognostic factors for overall survival (OS) and cancer-specific survival (CSS) were identified via Cox regression. Nomograms integrating clinicopathologic variables were developed (training cohort: n=6,633) and validated (test cohort: n=2,844) using C-index, time-dependent receiver operating characteristic (ROC) curves, and decision curve analysis. Chemotherapy benefits were assessed across different risk subgroups. Results: Tumor grade [poorly differentiated: hazard ratio (HR) =4.46 for OS; HR =6.01 for CSS], lymph node metastasis (N1: HR =1.96 for OS; HR =2.25 for CSS), and multiple primaries which was defined as 2nd of two or more primaries (HR =2.33 for OS) independently predicted poorer survival. Human epidermal growth factor receptor 2 (HER2) positivity (HR =0.54 for OS) and progesterone receptor (PR) positivity (HR =0.50 for CSS) were protective factors. Nomograms outperformed the American Joint Committee on Cancer (AJCC) 7th edition staging system, with C-indices of 0.77 (OS) and 0.82 (CSS) in training, and 0.75 (OS) and 0.78 (CSS) in validation. Chemotherapy worsened outcomes in low-risk patient but benefited high-risk subgroups, particularly neoadjuvant chemotherapy for patients with complete response (HR =0.41 for OS). Conclusions: This study establishes validated nomograms that improve survival prediction for young, operable BC patients, identifying high-risk subgroups likely to benefit from neoadjuvant chemotherapy. Conversely, low-risk patients may be spared unnecessary treatment. Prospective validation integrating molecular biomarkers is warranted to refine therapeutic personalization.

Indexed as

nomogramOperable breast cancer (OBC)reproductive ageSurveillance, Epidemiology, and End Results (SEER)

Identifiers

PMID41234837
PMCPMC12605336

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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.