Bioinformatics Combined With Biological Experiments to Identify the Pathogenetic Link of Type 2 Diabetes for Breast Cancer

Our findings suggested that CCNB2, XRCC2, and CENPI may serve as key pathogenic mediators linking T2DM and BC. Targeting these molecules could potentially attenuate the adverse impacts of T2DM on BC progression.

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Publication Details

Journal
Cancer Medicine
Published
2025-04-01
DOI
https://doi.org/10.1002/cam4.70759
Citations
1
Primary Topic
Metabolism, Diabetes, and Cancer
Type
article
Field-Weighted Citation Impact
0.81
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article

Bioinformatics Combined With Biological Experiments to Identify the Pathogenetic Link of Type 2 Diabetes for Breast Cancer

Xiaojun Fan, Dahuan Li, Zhirui Zeng, Tengxiang Chen et al.
1 citations
Cancer Medicine
Metabolism, Diabetes, and Cancer
0.81
article

Bioinformatics Combined With Biological Experiments to Identify the Pathogenetic Link of Type 2 Diabetes for Breast Cancer

Xiaojun Fan, Dahuan Li, Zhirui Zeng, Tengxiang Chen, Weiyun Z. Ai, Wenjing Tang, Shu Liu, Qian Yang, Kang Chen, Xin Bao, Yongkang Wang
article en
1 citations

Abstract

Our findings suggested that CCNB2, XRCC2, and CENPI may serve as key pathogenic mediators linking T2DM and BC. Targeting these molecules could potentially attenuate the adverse impacts of T2DM on BC progression.

Cancer MedicineVol. 14(7)
Guiyang Medical University (CN), Affiliated Hospital of Guizhou Medical University (CN)
No poverty
Openalex Percentile: Top 29%
Metabolism, Diabetes, and Cancer
0.81
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Bioinformatics Combined With Biological Experiments to Identify the Pathogenetic Link of Type 2 Diabetes for Breast Cancer — Xiaojun Fan, Dahuan Li, et al. · Cancer Medicine (2025) | TGRS Research Map | TGRS