Machine learning explores the prognostic and immuno-oncological impact of mitochondrial unfolded protein response in CESC

Our findings establish ATF5 as both a favorable prognostic marker and a key immune response regulator in CESC. Its influence on the tumor microenvironment and treatment response suggests potential therapeutic applications. These insights into UPR<sup>mt</sup>'s role in CESC provide new directions for developing personalized treatment strategies.

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Publication Details

Journal
Discover Oncology
Published
2025-05-23
DOI
https://doi.org/10.1007/s12672-025-02723-9
Citations
1
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
1.52

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article

Machine learning explores the prognostic and immuno-oncological impact of mitochondrial unfolded protein response in CESC

Hung‐Yu Lin, Yen‐Hsiang Chang, Hsing‐Ju Wu, Keh-Sen Liu
1 citations
Discover Oncology
Ferroptosis and cancer prognosis
1.52
article

Machine learning explores the prognostic and immuno-oncological impact of mitochondrial unfolded protein response in CESC

Hung‐Yu Lin, Yen‐Hsiang Chang, Hsing‐Ju Wu, Keh-Sen Liu
article en
1 citations

Abstract

Our findings establish ATF5 as both a favorable prognostic marker and a key immune response regulator in CESC. Its influence on the tumor microenvironment and treatment response suggests potential therapeutic applications. These insights into UPR<sup>mt</sup>'s role in CESC provide new directions for developing personalized treatment strategies.

Discover OncologyVol. 16(1)
Kaohsiung Chang Gung Memorial Hospital (TW), Chang Bing Show Chwan Memorial Hospital (TW), Mackay Junior College of Medicine, Nursing and Management (TW)
Chang Bing Show Chwan Memorial Hospital
Openalex Percentile: Top 18%
Ferroptosis and cancer prognosis
1.52
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Machine learning explores the prognostic and immuno-oncological impact of mitochondrial unfolded protein response in CESC — Hung‐Yu Lin, Yen‐Hsiang Chang, et al. · Discover Oncology (2025) | TGRS Research Map | TGRS