Evaluating the prognostic potential of telomerase signature in breast cancer through advanced machine learning model.

Journal: Frontiers in immunology

Published Date: Nov 28, 2024

Abstract

BACKGROUND: Breast cancer prognosis remains a significant challenge due to the disease's molecular heterogeneity and complexity. Accurate predictive models are critical for improving patient outcomes and tailoring personalized therapies.

Authors

Xiao Guo

School of Pharmacy, Beihua University, Jilin, China.
Yuyan Cao

School of Pharmacy, Beihua University, Jilin, China.
Xinlin Shi

School of Pharmacy, Beihua University, Jilin, Jilin, China.
Jiaying Xing

School of Pharmacy, Beihua University, Jilin, China.
Chuanbo Feng

School of Pharmacy, Beihua University, Jilin, China.
Tao Wang

Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Keywords

Biomarkers, Tumor Breast Neoplasms Female Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Machine Learning Prognosis Telomerase Transcriptome Tumor Microenvironment

External Resources

View on PubMed Access via DOI PubMed (39669558)

Evaluating the prognostic potential of telomerase signature in breast cancer through advanced machine learning model.

Abstract

Authors

Keywords

External Resources

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