A Novel Prognostic Nomogram Based on TIGIT and NKG2A Can Predict Relapse-Free Survival of Hepatocellular Carcinoma After Hepatectomy

IF 2.9 2区医学 Q2 ONCOLOGY

Cancer Medicine Pub Date : 2024-11-14 DOI:10.1002/cam4.70419

Junqi Wang, Yuqing Cao, Yu Tian, Chaoliu Dai, Tianqiang Jin, Feng Xu

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引用次数: 0

Abstract

Background and Objectives

Hepatocellular carcinoma (HCC) is a major global health concern, and emerging evidence suggests that TIGIT and NKG2A are potential immune checkpoints with implications for HCC progression. This study aimed to evaluate the prognostic significance of TIGIT and NKG2A expression in HCC patients who underwent radical liver resection.

Methods

We conducted a retrospective analysis of 144 HCC patients who underwent radical liver resection. TIGIT and NKG2A expression levels were assessed using the immunoreactive score. Cox proportional hazards models were utilized to analyze the association between TIGIT/NKG2A expression and clinical characteristics, relapse-free survival (RFS), and overall survival (OS). Prognostic models for OS and RFS was developed and validated using concordance index and calibration curves. Additionally, the random forest algorithm was employed to identify independent risk factors for OS and RFS and their correlation with predicted survival.

Results

TIGIT and NKG2A expression were identified as independent risk factors for RFS, while TIGIT expression alone significantly impacted OS. The prognostic models showed good discriminative ability, with concordance indices exceeding 0.7 for predicting 1-, 3-, and 5-year OS or RFS. Calibration curves confirmed the reliability of the nomograms for OS and RFS prediction. The areas under the ROC curve consistently exceeded 0.7 for predicting OS and RFS. Elevated levels of TIGIT and NKG2A expression were associated with diminished RFS, highlighting their importance as prognostic factors.

Conclusions

Our study establishes the prognostic significance of TIGIT and NKG2A expression in predicting OS and RFS following radical liver resection for HCC patients. The developed prognostic models incorporating TIGIT and NKG2A expression hold promise for improving risk stratification and clinical management of HCC patients.

Abstract Image

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基于 TIGIT 和 NKG2A 的新型预后提名图能预测肝细胞癌肝脏切除术后的无复发生存率

背景和目的：肝细胞癌（HCC）是全球关注的主要健康问题，新的证据表明，TIGIT和NKG2A是潜在的免疫检查点，对HCC的进展有影响。本研究旨在评估接受根治性肝切除术的 HCC 患者中 TIGIT 和 NKG2A 表达的预后意义：我们对接受根治性肝切除术的 144 例 HCC 患者进行了回顾性分析。采用免疫反应评分法评估 TIGIT 和 NKG2A 的表达水平。我们利用 Cox 比例危险模型分析了 TIGIT/NKG2A 表达与临床特征、无复发生存率（RFS）和总生存率（OS）之间的关系。利用一致性指数和校准曲线建立并验证了 OS 和 RFS 的预后模型。此外，还采用随机森林算法确定了OS和RFS的独立风险因素及其与预测生存期的相关性：结果：TIGIT和NKG2A的表达被确定为RFS的独立危险因素，而TIGIT的单独表达对OS有显著影响。预后模型显示出良好的鉴别能力，预测1年、3年和5年OS或RFS的一致性指数超过0.7。校准曲线证实了OS和RFS预测提名图的可靠性。预测 OS 和 RFS 的 ROC 曲线下面积始终超过 0.7。TIGIT和NKG2A表达水平的升高与RFS的降低有关，突出了它们作为预后因素的重要性：我们的研究证实了TIGIT和NKG2A的表达在预测HCC患者根治性肝切除术后的OS和RFS方面的预后意义。结合 TIGIT 和 NKG2A 表达建立的预后模型有望改善 HCC 患者的风险分层和临床管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cancer Medicine ONCOLOGY-

CiteScore

5.50

自引率

2.50%

发文量

907

审稿时长

19 weeks

期刊介绍： Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.