Comprehensive analysis of immune subtype characterization on identification of potential cells and drugs to predict response to immune checkpoint inhibitors for hepatocellular carcinoma

Immunosubtyping enables the segregation of immune responders from non-responders. However, numerous studies failed to focus on the integration of cellular heterogeneity and immunophenotyping in the prediction of hepatocellular carcinoma (HCC) patients' response to immune checkpoint inhibitors (ICIs). We categorized HCC patients into various immune subtypes based on feature scores linked to ICI response. Single-cell sequencing technology was to investigate the cellular heterogeneity of different immune subtypes and acquire significant ICI response-associated cells. Candidate drugs were identified using a blend of various drug databases and network approaches. HCC patients were divided into two distinct immune subtypes based on characterization scores of 151 immune-related gene sets. Patients in both subtypes showed varying overall survival, immunity levels, biological activities, and TP53 mutation rates. Subtype 1-related natural killer cells showed a positive correlation with immune-promoting scores but a negative correlation with immune-suppressing scores. Notably, docetaxel sensitivity in HCC patients rose as the levels of subtype 1-related natural killer cells increased. Our study demonstrated that immune subtypes have cellular heterogeneity in predicting response to ICIs. A combination of subtype 1-associated natural killer cells and docetaxel may offer new hope for ICI treatment in HCC.

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Publication Details

Journal
Genes & Diseases
Published
2024-11-27
DOI
https://doi.org/10.1016/j.gendis.2024.101471
Citations
10
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
4.19

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article

Comprehensive analysis of immune subtype characterization on identification of potential cells and drugs to predict response to immune checkpoint inhibitors for hepatocellular carcinoma

Ailong Huang, Joey Tianyi Zhou, Kangjie Li, Biao Xie et al.
10 citations
Genes & Diseases
Ferroptosis and cancer prognosis
4.19
article

Comprehensive analysis of immune subtype characterization on identification of potential cells and drugs to predict response to immune checkpoint inhibitors for hepatocellular carcinoma

Ailong Huang, Joey Tianyi Zhou, Kangjie Li, Biao Xie, Xiaoni Zhong, Guichuan Lai, Cong Zhang, Yi Liu, Yuan Zhang, Jie Fan, Hui Liu, A. Liu, Jielian Deng, Wei J. Wang
article en
10 citations

Abstract

Immunosubtyping enables the segregation of immune responders from non-responders. However, numerous studies failed to focus on the integration of cellular heterogeneity and immunophenotyping in the prediction of hepatocellular carcinoma (HCC) patients' response to immune checkpoint inhibitors (ICIs). We categorized HCC patients into various immune subtypes based on feature scores linked to ICI response. Single-cell sequencing technology was to investigate the cellular heterogeneity of different immune subtypes and acquire significant ICI response-associated cells. Candidate drugs were identified using a blend of various drug databases and network approaches. HCC patients were divided into two distinct immune subtypes based on characterization scores of 151 immune-related gene sets. Patients in both subtypes showed varying overall survival, immunity levels, biological activities, and TP53 mutation rates. Subtype 1-related natural killer cells showed a positive correlation with immune-promoting scores but a negative correlation with immune-suppressing scores. Notably, docetaxel sensitivity in HCC patients rose as the levels of subtype 1-related natural killer cells increased. Our study demonstrated that immune subtypes have cellular heterogeneity in predicting response to ICIs. A combination of subtype 1-associated natural killer cells and docetaxel may offer new hope for ICI treatment in HCC.

Genes & DiseasesVol. 12(3)
Chongqing Public Health Medical Center (CN), Chongqing Medical University (CN)
National Youth Science Foundation, Chongqing Medical University, Chongqing Municipal Education Commission, Sichuan Provincial Administration of Traditional Chinese Medicine, Sichuan Province Science and Technology Support Program
Openalex Percentile: Top 5%
Ferroptosis and cancer prognosis
4.19
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