Prognostic risk model of LIHC T-cells based on scRNA-seq and RNA-seq and the regulation of the tumor immune microenvironment

This study introduces a T-cell marker-based prognostic risk model for LIHC patients. This model effectively predicted survival outcomes and immunotherapy effectiveness in LIHC patients, aligning with diverse immune responses and the distinct immunological profiles observed in the high-risk group.

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Publication Details

Journal
Discover Oncology
Published
2024-10-10
DOI
https://doi.org/10.1007/s12672-024-01424-z
Citations
1
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.28

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article

Prognostic risk model of LIHC T-cells based on scRNA-seq and RNA-seq and the regulation of the tumor immune microenvironment

Jinghua Gao, Lixian Wu, Xiaomei Yi, Chunxiao Huang et al.
1 citations
Discover Oncology
Cancer Immunotherapy and Biomarkers
0.28
article

Prognostic risk model of LIHC T-cells based on scRNA-seq and RNA-seq and the regulation of the tumor immune microenvironment

Jinghua Gao, Lixian Wu, Xiaomei Yi, Chunxiao Huang, Zihan Cai, Shoupeng Ding, Shouzhao Zheng
article en
1 citations

Abstract

This study introduces a T-cell marker-based prognostic risk model for LIHC patients. This model effectively predicted survival outcomes and immunotherapy effectiveness in LIHC patients, aligning with diverse immune responses and the distinct immunological profiles observed in the high-risk group.

Discover OncologyVol. 15(1)
Ningxia Medical University (CN), Ningxia Medical University General Hospital (CN), Dali University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 35%
Cancer Immunotherapy and Biomarkers
0.28
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