Identification of Disulfidptosis-Related Subtypes, Prognosis Model and Cerna Network in Breast Cancer

Background: In females, breast cancer (BRCA) has the greatest incidence rate and the second-highest fatality rate after lung cancer and has a poor treatment and prognosis. Disulfidptosis is a new cell death modality that may be critically involved in cancer activities, but its role in BRCA is still a gap.

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Publication Details

Journal
Archives of Clinical Case Studies
Published
2024-10-02
DOI
https://doi.org/10.33552/accs.2024.04.000586
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Identification of Disulfidptosis-Related Subtypes, Prognosis Model and Cerna Network in Breast Cancer

Wan-Hua Hong
Archives of Clinical Case Studies
Radiomics and Machine Learning in Medical Imaging
article

Identification of Disulfidptosis-Related Subtypes, Prognosis Model and Cerna Network in Breast Cancer

Wan-Hua Hong
article en

Abstract

Background: In females, breast cancer (BRCA) has the greatest incidence rate and the second-highest fatality rate after lung cancer and has a poor treatment and prognosis. Disulfidptosis is a new cell death modality that may be critically involved in cancer activities, but its role in BRCA is still a gap.

Archives of Clinical Case StudiesVol. 4(3)
Third Affiliated Hospital of Southern Medical University (CN)
Good health and well-being
Openalex Percentile: Top 68%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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Identification of Disulfidptosis-Related Subtypes, Prognosis Model and Cerna Network in Breast Cancer — Wan-Hua Hong · Archives of Clinical Case Studies (2024) | TGRS Research Map | TGRS