Integrative single-cell and machine learning approach to characterize immunogenic cell death and tumor microenvironment in LUAD

This study highlights the crucial role of ICD in LUAD immune regulation and prognosis. The ICDRS serves as a robust biomarker for risk stratification and immunotherapy guidance, while SLC2A1 emerges as a potential therapeutic target to augment immunotherapeutic efficacy.

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Publication Details

Journal
Journal of Translational Medicine
Published
2025-09-24
DOI
https://doi.org/10.1186/s12967-025-06889-2
Citations
6
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
6.27
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article

Integrative single-cell and machine learning approach to characterize immunogenic cell death and tumor microenvironment in LUAD

Xiaoteng Jia, Xiaojiang Zhao, Xin Li, Han Zhang et al.
6 citations
Journal of Translational Medicine
Cancer Immunotherapy and Biomarkers
6.27
article

Integrative single-cell and machine learning approach to characterize immunogenic cell death and tumor microenvironment in LUAD

Xiaoteng Jia, Xiaojiang Zhao, Xin Li, Han Zhang, Kai You Wang, Yuhang Jiang, Daqiang Sun, Qiuqiao Mu
article en
6 citations

Abstract

This study highlights the crucial role of ICD in LUAD immune regulation and prognosis. The ICDRS serves as a robust biomarker for risk stratification and immunotherapy guidance, while SLC2A1 emerges as a potential therapeutic target to augment immunotherapeutic efficacy.

Journal of Translational MedicineVol. 23(1)
Tianjin University (CN), Tianjin Chest Hospital (CN), Tianjin Medical University (CN)
Openalex Percentile: Top 3%
Cancer Immunotherapy and Biomarkers
6.27
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