Suppr超能文献

一种免疫细胞激活特征反映了肝细胞癌的异质性并预测了临床结果。

An immune cell activation signature reflected hepatocellular carcinoma heterogeneity and predicted clinical outcomes.

作者信息

Wang Xiaofeng, Liu Dongli, Wang Shuai, He Rui

机构信息

Department of Medical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ;China.

Department of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ;China.

出版信息

Front Immunol. 2025 Apr 28;16:1534611. doi: 10.3389/fimmu.2025.1534611. eCollection 2025.

Abstract

BACKGROUND

The prognosis of hepatocellular carcinoma (HCC) remains challenging, and immune activation plays a critical role in cancer treatment. Identifying reliable immune activation-related prognostic markers is critical for predicting HCC patient outcomes.

METHOD

A six-gene signature was developed. The prognostic value was assessed by correlating the signature and survival. The robustness of the signature was validated in three independent Gene Expression Omnibus (GEO) datasets. Associations with clinical, genomic, and transcriptomic features were also evaluated. Additionally, single-cell sequencing data were analyzed to explore cell-cell interaction heterogeneity reflected by the signature. The biological role of candidate gene RORC was investigated, including chemotherapy resistance and detailed regulatory mechanism in affecting progression. The clinical potential role of RORC and its downstream gene was also evaluated by immunohistochemical (IHC) microarray.

RESULTS

The six-gene signature stratified patients into high-risk and low-risk groups, with high-risk samples exhibiting significantly shorter overall survival (median: 23.8 months, 95% CI: 20.6-41.8) than low-risk samples (median: 83.2 months, 95% CI: 69.6-NA, p < 0.001). Validation in independent GEO datasets confirmed the robustness of the signature. The signature was significantly associated with the pathological stage and negatively correlated with PD-L1 expression, outperforming clinical indicators in predicting 3-year survival. The signature was significantly associated with TP53 mutations, genomic stability, and canonical cancer-related pathways. Single-cell sequencing data indicated that the signature revealed cell-cell interaction heterogeneity in HCC. Candidate gene RORC promotes proliferation and migration by regulating CDC6 gene expression as a transcription factor. Furthermore, RORC is also associated with multiple drug resistance, especially docetaxel and paclitaxel. IHC revealed that RORC and candidate gene CDC6 were valuable predictive biomarkers for prognosis.

CONCLUSION

The six-gene signature provides valuable insights into the biological status of HCC patients and is a robust tool for clinical application.

摘要

背景

肝细胞癌(HCC)的预后仍然具有挑战性,免疫激活在癌症治疗中起着关键作用。识别可靠的免疫激活相关预后标志物对于预测HCC患者的预后至关重要。

方法

开发了一个六基因特征。通过将该特征与生存率相关联来评估其预后价值。在三个独立的基因表达综合数据库(GEO)数据集中验证了该特征的稳健性。还评估了其与临床、基因组和转录组特征的关联。此外,分析单细胞测序数据以探索该特征所反映的细胞间相互作用异质性。研究了候选基因RORC的生物学作用,包括化疗耐药性以及影响进展的详细调控机制。还通过免疫组织化学(IHC)微阵列评估了RORC及其下游基因的临床潜在作用。

结果

六基因特征将患者分为高风险组和低风险组,高风险样本的总生存期(中位数:23.8个月,95%置信区间:20.6 - 41.8)明显短于低风险样本(中位数:83.2个月,95%置信区间:69.6 - 无上限,p < 0.001)。在独立的GEO数据集中的验证证实了该特征的稳健性。该特征与病理分期显著相关,与PD - L1表达呈负相关,在预测3年生存率方面优于临床指标。该特征与TP53突变、基因组稳定性和典型的癌症相关通路显著相关。单细胞测序数据表明,该特征揭示了HCC中的细胞间相互作用异质性。候选基因RORC作为转录因子通过调节CDC6基因表达促进增殖和迁移。此外,RORC还与多种药物耐药性相关,尤其是多西他赛和紫杉醇。免疫组化显示,RORC和候选基因CDC6是有价值的预后预测生物标志物。

结论

六基因特征为HCC患者的生物学状态提供了有价值的见解,是一种用于临床应用的稳健工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad39/12066757/d490549c16c9/fimmu-16-1534611-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验