Identification and characterization of survival-dependent genes in esophageal cancer via the DepMap database: unraveling their association with immune infiltration

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成果类型：

期刊论文

作者：

Yao, Xiangrong;He, Junyan;Xiao, Wentao;Chen, Limou;Xiao, Fangzhu

通讯作者：

Xiao, FZ

作者机构：

[Xiao, Fangzhu; Xiao, FZ; Yao, Xiangrong] Univ South China, Sch Publ Hlth, Hengyang 421001, Hunan, Peoples R China.

[He, Junyan] Univ South China, Affiliated Hosp 1, Hengyang Med Sch, Dept Oncol Radiotherapy, Hengyang, Hunan, Peoples R China.

[Xiao, Wentao] Nantong Univ, Med Sch, Affiliated Hosp, Dept Radiat Oncol, Nantong, Jiangsu, Peoples R China.

[Chen, Limou] Xiangnan Univ, Sch Publ Hlth, Chenzhou, Hunan, Peoples R China.

通讯机构：

[Xiao, FZ ] U

Univ South China, Sch Publ Hlth, Hengyang 421001, Hunan, Peoples R China.

语种：

英文

关键词：

Esophageal Cancer;Biomarkers;Prognostic model;Immune infiltration

期刊：

Discover Oncology

ISSN：

2730-6011

年：

2025

卷：

期：

页码：

1176

DOI：

10.1007/s12672-025-02942-0

基金类别：

This study was funded by the Ecology and Environment Department of Hunan under the project number HBKYXM-2023021.

机构署名：

本校为第一且通讯机构

院系归属：

公共卫生学院

摘要：

BACKGROUND: Esophageal cancer ranks as the 11th most diagnosed cancer worldwide and the 7th leading cause of cancer-related deaths, mainly due to late-stage diagnosis. Identifying novel biomarkers is essential for enhancing prognostic evaluations and targeting patients for immunotherapy. METHODS: We used the DepMap database to identify survival-dependent genes in esophageal carcinoma cells. A prognostic model was developed using univariate and multivariate Cox regression and LASSO, validated with the GEO dataset. WGCNA and GSEA analyses were co...

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Identification and characterization of survival-dependent genes in esophageal cancer via the DepMap database: unraveling their association with immune infiltration

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