Development of a prognostic model based on lysosome-related genes for ovarian cancer: insights into tumor microenvironment, mutation patterns, and personalized treatment strategies

We devised a 10-LRG prognostic model linked to TME, offering insights for tailored OC treatments.

Authors

Yanming Lü (ORCID: https://orcid.org/0000-0002-7473-1258)
Wanlu Ye
Siyi Li (ORCID: https://orcid.org/0000-0003-4916-8253)
Ran Sun

Institutions

China Medical University (CN)

Publication Details

Journal: Cancer Cell International
Published: 2024-12-19
DOI: https://doi.org/10.1186/s12935-024-03586-w
Citations: 1
Primary Topic: Endoplasmic Reticulum Stress and Disease
Type: article
Field-Weighted Citation Impact: 0.33

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article

Development of a prognostic model based on lysosome-related genes for ovarian cancer: insights into tumor microenvironment, mutation patterns, and personalized treatment strategies

Yanming Lü, Wanlu Ye, Siyi Li, Ran Sun

Dec 19, 2024

1 citations

Cancer Cell International

Endoplasmic Reticulum Stress and Disease

0.33

article

Development of a prognostic model based on lysosome-related genes for ovarian cancer: insights into tumor microenvironment, mutation patterns, and personalized treatment strategies

Yanming Lü, Wanlu Ye, Siyi Li, Ran Sun

December 19, 2024article en

1 citations

Abstract

We devised a 10-LRG prognostic model linked to TME, offering insights for tailored OC treatments.

Cancer Cell InternationalVol. 24(1)

China Medical University (CN)

Good health and well-being

Openalex Percentile: Top 38%

Endoplasmic Reticulum Stress and Disease

0.33

DOI Open Access PDF OpenAlex

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Development of a prognostic model based on lysosome-related genes for ovarian cancer: insights into tumor microenvironment, mutation patterns, and personalized treatment strategies — Yanming Lü, Wanlu Ye, et al. · Cancer Cell International (2024) | TGRS Research Map | TGRS