Evidence map›Paper›PMID 41318535›Full record

ArticleBMC cancer2025

Pregnancy-associated breast cancer: gestational weight gain impact and nomogram validation.

Chenguang Liu, Ruifeng Wang, Shoujun Wang, Shiyang Liu, Xinhong Wu, Weihong Zheng, Shuyu Li, Tianyao Yu, Jie Hao, Lin Zhang

Abstract readValidation Study
In one paragraph

Article in BMC cancer, 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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10 authors.

Chenguang Liu *Department of Thyroid and Breast Surgery, Tianjin Key Laboratory of General Surgery, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, 190 Jieyuan Road, Hongqiao District, Tianjin, 300121, China.
Ruifeng Wang *Department of Thyroid and Breast Surgery, Ezhou Central Hospital, Ezhou, China.
Shoujun Wang *Department of Thyroid and Breast Surgery, Tianjin Key Laboratory of General Surgery, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, 190 Jieyuan Road, Hongqiao District, Tianjin, 300121, China.
Shiyang LiuDepartment of Thyroid and Breast Surgery, Tongji Hospital of Tongji Medical College of Huazhong, University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.
Xinhong WuDepartment of Breast Surgery, Hubei Cancer Hospital, Huazhong University of Science and Technology, Wuhan, China.
Weihong ZhengDepartment of Thyroid and Breast Surgery, Tongji Hospital of Tongji Medical College of Huazhong, University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.
Shuyu LiDepartment of Thyroid and Breast Surgery, Tongji Hospital of Tongji Medical College of Huazhong, University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.
Tianyao YuDepartment of Thyroid and Breast Surgery, Tongji Hospital of Tongji Medical College of Huazhong, University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.
Jie HaoDepartment of Thyroid and Breast Surgery, Tianjin Key Laboratory of General Surgery, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, 190 Jieyuan Road, Hongqiao District, Tianjin, 300121, China. haojie1@umc.net.cn.
Lin ZhangDepartment of Thyroid and Breast Surgery, Tongji Hospital of Tongji Medical College of Huazhong, University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China. zhanglinar@163.com.ORCID http://orcid.org/0000-0001-7956-2257

Funding

Wu Jieping Medical Foundation 320.6750.2024-21-122
6 · The paper itself

Abstract

backgroundAs a rare form of breast cancer, the prognosis and influencing factors of pregnancy-associated breast cancer (PABC) remain insufficiently understood. This study aimed to explore the prognostic factors affecting PABC patients, and establish a nomogram for predicting prognosis.

methodsPatients with PABC and non-PABC, who were treated at three large tertiary institutions, were included in the analysis. The demographic and tumor characteristics of the patients were collected, and their survival were followed up. A Cox proportional hazard regression model was performed to analyze the effects of different variables on the risk of disease-free survival (DFS) in PABC patients. A prognostic nomogram was developed to predict DFS, and its performance was validated using the concordance index, calibration curves, ROC analysis, and decision curve analysis.

resultsSixty-nine PABC patients and matched non-PABC patients were included in the study. Compared to non-PABC group, PABC patients have less favorable fertility conditions and outcomes, poorer clinicopathological characteristics and worse prognosis. In the analysis of prognostic factors of PABC patients, gestational weight gain (GWG) was identified as an independent factor affecting DFS in PABC patients. A nomogram was subsequent established to predict the possibility of DFS in patients with PABC, and multiple analyses confirmed the robust predictive ability and clinical value of the model.

conclusionsPABC patients exhibited poorer prognosis compared to non-PABC patients, with GWG identified as a pregnancy-related risk factor influencing their outcomes. The established nomogram showed robust predictive accuracy and holds promise for informing clinical decision-making.

Indexed as

Breast NeoplasmsGestational Weight GainNomogramsPregnancy Complications, NeoplasticAdultDisease-Free SurvivalFemaleHumansPregnancyPrognosisRetrospective StudiesBreast cancerDisease-free survivalGestational weight gainNomogramPregnancyPrognosis

Identifiers

PMID41318535
PMCPMC12817840

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