A Novel Prognostic Nomogram Based on TIGIT and NKG2A Can Predict Relapse-Free Survival of Hepatocellular Carcinoma After Hepatectomy
- Junqi Wang 1, Yuqing Cao 1,2, Yu Tian 1, Chaoliu Dai 1, Tianqiang Jin 1, Feng Xu 1
- Junqi Wang 1, Yuqing Cao 1,2, Yu Tian 1
- 1Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
- 2Department of Critical Care Medicine, The Fifth People's Hospital of Zhangjiagang City, Suzhou, Jiangsu, China.
- 0Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
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View abstract on PubMed
Summary
This summary is machine-generated.TIGIT and NKG2A immune checkpoints are significant prognostic factors for hepatocellular carcinoma (HCC) patients undergoing liver resection. Their expression predicts overall survival (OS) and relapse-free survival (RFS), aiding in risk stratification.
Area Of Science
- Immunology
- Oncology
- Hepatology
Background
- Hepatocellular carcinoma (HCC) presents a significant global health challenge.
- TIGIT (T cell immunoreceptor with Ig and ITIM domains) and NKG2A (NK cell receptor) are emerging immune checkpoints implicated in HCC progression.
Purpose Of The Study
- To investigate the prognostic value of TIGIT and NKG2A expression in HCC patients.
- To assess their impact on overall survival (OS) and relapse-free survival (RFS) after radical liver resection.
Main Methods
- Retrospective analysis of 144 HCC patients who underwent radical liver resection.
- Quantification of TIGIT and NKG2A expression using the immunoreactive score.
- Application of Cox proportional hazards models and random forest algorithms for risk factor identification and survival prediction.
Main Results
- TIGIT and NKG2A expression were identified as independent predictors of RFS.
- TIGIT expression significantly influenced OS.
- Developed prognostic models demonstrated good discriminative ability (concordance index > 0.7) for predicting 1-, 3-, and 5-year OS and RFS.
Conclusions
- TIGIT and NKG2A expression are significant prognostic indicators for HCC patients post-liver resection.
- The developed prognostic models offer potential for improved risk stratification and clinical management of HCC.
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