Evidence map›Paper›PMID 41112995›Full record

ArticleAmerican journal of translational research2025

Clinical and pathological characteristics and prognosis analysis of breast cancer patients stratified by age.

Junjie Fan, Huajuan Ruan, Danqin Zheng, Jinjing Lv, Guojun Jiang, Yanfen Chen

Abstract read
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Article in American journal of translational research, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Junjie FanDepartment of Pathology, The First People's Hospital of Lin'an District Hangzhou 311300, Zhejiang, China.
Huajuan RuanDepartment of Pathology, The First People's Hospital of Lin'an District Hangzhou 311300, Zhejiang, China.
Danqin ZhengDepartment of Pathology, The First People's Hospital of Lin'an District Hangzhou 311300, Zhejiang, China.
Jinjing LvDepartment of Pathology, The First People's Hospital of Lin'an District Hangzhou 311300, Zhejiang, China.
Guojun JiangDepartment of Pathology, The First People's Hospital of Lin'an District Hangzhou 311300, Zhejiang, China.
Yanfen ChenDepartment of General Surgery, The First People's Hospital of Lin'an District Hangzhou 311300, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the clinical characteristics of breast cancer patients across different age groups and their impact on prognosis.

methodsA retrospective study was conducted from January 2022 to December 2023, including 105 breast cancer patients. These patients were stratified into three groups: young (<40 years), middle-aged (40-59 years), and elderly (≥60 years).

resultsThe mean age at diagnosis was 52.74 years, with the highest incidence observed in the middle-aged group. Significant differences were found across age groups in histological grade, tumor size, molecular subtype, Ki67, carcinoembryonic antigen (CEA), and carbohydrate antigen 15-3 (CA15-3) (all P<0.05). Disease-free survival (DFS) rates varied significantly across age groups, with differences in histological grade, tumor size, molecular subtype, Ki67, CEA, and CA15-3 levels (

conclusionThe clinical characteristics and prognosis of breast cancer patients vary significantly by age group. Combining age with molecular subtype can optimize risk stratification and provide a valuable reference for individualized treatment and prognosis management.

Indexed as

age stratificationBreast cancerpathological characteristicspoor prognosisrisk managementtumor marker

Identifiers

PMID41112995
PMCPMC12531501

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