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  1. Home
  2. Clinical Characteristics And Prognostic Factors Of Male Breast Cancer In China.
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  2. Clinical Characteristics And Prognostic Factors Of Male Breast Cancer In China.

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Clinical characteristics and prognostic factors of male breast cancer in China.

Han Lei1, Baojie Hua2, Yingying Mao2

  • 1The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.

Frontiers in Oncology
|March 25, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

This study identifies age, tumor stage, and differentiation grade as key prognostic factors for male breast cancer (MBC). Inflammatory markers like LMR, PLR, and NLR show potential for predicting MBC outcomes.

Keywords:
disease-free survivalmale breast cancernomogramoverall survivalprognosis

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Area of Science:

  • Oncology
  • Clinical Research
  • Cancer Prognostics

Background:

  • Male breast cancer (MBC) is rare, necessitating research into its specific clinical characteristics and prognostic indicators.
  • Understanding factors influencing MBC prognosis is crucial for tailoring treatment strategies and improving patient outcomes.

Purpose of the Study:

  • To investigate the clinical features of male breast cancer (MBC) patients.
  • To identify factors that predict prognosis in male breast cancer.

Main Methods:

  • Retrospective analysis of 115 male breast cancer cases treated between 2009 and 2022.
  • Utilized Cox proportional hazard models to determine prognostic factors for overall survival (OS) and disease-free survival (DFS).
  • Developed and validated nomograms for predicting DFS using C-index and calibration curves.

Main Results:

  • The median age of diagnosis for MBC was 59 years. Most cases were estrogen receptor (ER) and progesterone receptor (PR) positive.
  • Lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR) were associated with survival outcomes.
  • Age, histological differentiation grade, and TNM stage were significant predictors of DFS, with nomograms showing good predictive performance (C-index 0.782).

Conclusions:

  • Advanced age, larger tumor size, higher TNM stage, and poor histological differentiation are linked to worse MBC prognosis.
  • Inflammatory markers such as LMR, PLR, and NLR may serve as potential predictive biomarkers for male breast cancer prognosis.