Immune system development-related signature predicts prognosis and sorafenib-treatment resistance of hepatocellular carcinoma by intergrating machine learning and single-cell analyses
- Shiji Wu 1, Xingte Chen 1, Huipeng Fang 2, Yaqi Zhong 1, Qizhen Huang 3, Liang Hong 1, Lingdong Shao 1, Lei Wang 4, Junxin Wu 5
- Shiji Wu 1, Xingte Chen 1, Huipeng Fang 2
- 1Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 420 Fuma Rd, Jin'an District, Fuzhou, 350011, Fujian, China.
- 2Department of Hepatopancreatobiliary Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
- 3Department of Radiation Oncology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China.
- 4Department of Radiation Oncology, Jiangxi Clinical Research Center for Cancer, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China. wangleiy001@126.com.
- 5Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 420 Fuma Rd, Jin'an District, Fuzhou, 350011, Fujian, China. junxinwufj@aliyun.com.
- 0Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 420 Fuma Rd, Jin'an District, Fuzhou, 350011, Fujian, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies an immune system development signature (ISDRS) crucial for hepatocellular carcinoma (HCC). The ISDRS predicts sorafenib resistance, linked to regulatory T cells (Tregs) and IL-6/IL-6R levels.
Area Of Science
- Oncology
- Immunology
- Bioinformatics
Background
- The immune system's role in cancer development and progression is significant.
- Specific immune system development (ISD) functions in hepatocellular carcinoma (HCC) and sorafenib resistance mechanisms are not well understood.
Purpose Of The Study
- To identify a potent immune system development-related signature (ISDRS) for HCC.
- To investigate the association between ISDRS, ISD levels, and sorafenib resistance.
- To explore the role of regulatory T cells (Tregs) and cytokine signaling in sorafenib resistance.
Main Methods
- Developed 167 algorithms by combining 10 machine learning algorithms to identify an optimal ISDRS.
- Correlated ISDRS and ISD levels with sorafenib resistance, T regulatory cell (Treg) infiltration, and IL-6/IL-6R levels.
- Utilized single-cell analysis to identify novel Tregs subgroups and potential biomarkers.
Main Results
- The developed ISDRS outperformed 73 previously published signatures.
- Sorafenib resistance was positively correlated with ISD levels and ISDRS.
- Sorafenib resistance showed a positive correlation with Treg infiltration and a negative correlation with IL-6/IL-6R levels.
- A novel Tregs subgroup contributing to sorafenib resistance was identified, with BATF as a potential biomarker.
Conclusions
- The study established a superior ISDRS for HCC, offering insights into sorafenib resistance.
- Tregs and IL-6/IL-6R signaling are implicated in sorafenib resistance in HCC.
- BATF may serve as a biomarker for a specific Tregs subgroup driving sorafenib resistance.
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