Suppr超能文献

一种与细胞焦亡相关的预后特征的鉴定及其在肝细胞癌中的实验验证

Identification of a Pyroptosis-Related Prognostic Signature Combined With Experiments in Hepatocellular Carcinoma.

作者信息

Li Huihui, Li Tang, Zhang Xiaohua

机构信息

Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Department of Respiratory and Critical Care Medicine, The Affiliated People's Hospital to Ningbo University, Ningbo, China.

出版信息

Front Mol Biosci. 2022 Mar 4;9:822503. doi: 10.3389/fmolb.2022.822503. eCollection 2022.

Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide with poor prognosis. There is a necessary search for improvement in diagnosis and treatment methods to improve the prognosis. Some useful prognostic markers of HCC are still lacking. Pyroptosis is a type of programmed cell death caused by the inflammasome. It is still unknown whether pyroptosis-related genes (PRGs) are involved in the prognosis in HCC. The gene expression and clinical data of LIHC (liver hepatocellular carcinoma) patients were downloaded from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium database (ICGC). In this study, we identified 40 PRGs that were differentially expressed between LIHC and normal liver tissues. Based on the TCGA-LIHC cohort, a 9-gene prediction model was established with the Least absolute shrinkage and selection operator (LASSO)-penalized Cox regression. The risk score was calculated according to the model in the TCGA-LIHC cohort and the ICGC-LIHC cohort. Utilizing the median risk score from the TCGA cohort, LIHC patients from the ICGC-LIHC cohort were divided into two risk subgroups. The Kaplan-Meier (KM) survival curves demonstrated that patients with lower risk scores had significantly favorable overall survival (OS). Combined with the clinical characteristics, the risk score was an independent factor for predicting the OS of LIHC patients in both the TCGA-LIHC cohort and the ICGC-LIHC cohort. Functional enrichment and immune function analysis were carried out. Furthermore, a nomogram based on risk score, age, gender, and tumor stage was used to predict mortality of patients with LIHC. Moreover, KM survival analysis was performed for 9 genes in the risk model, among which CHMP4A, SCAF11, and GSDMC had significantly different results and the ceRNA network was constructed. Based on the core role of SCAF11, we performed loss-of-function experiments to explore the function of SCAF11 . Suppression of SCAF11 expression inhibited the proliferation, attenuated the migration and invasion, and induced apoptosis of liver cancer cell lines. In conclusion, the pyroptosis-related model and nomogram can be utilized for the clinical prognostic prediction in LIHC. This study has demonstrated for the first time that SCAF11 promotes the progression of liver cancer.

摘要

肝细胞癌(HCC)是全球最常见的恶性肿瘤之一,预后较差。有必要探索改进诊断和治疗方法以改善预后。目前仍缺乏一些有用的HCC预后标志物。细胞焦亡是一种由炎性小体引起的程序性细胞死亡。细胞焦亡相关基因(PRGs)是否参与HCC的预后仍不清楚。从癌症基因组图谱(TCGA)和国际癌症基因组联盟数据库(ICGC)下载了肝细胞癌(LIHC)患者的基因表达和临床数据。在本研究中,我们鉴定出40个在LIHC和正常肝组织之间差异表达的PRGs。基于TCGA-LIHC队列,采用最小绝对收缩和选择算子(LASSO)惩罚的Cox回归建立了一个9基因预测模型。根据该模型计算了TCGA-LIHC队列和ICGC-LIHC队列中的风险评分。利用TCGA队列的中位风险评分,将ICGC-LIHC队列中的LIHC患者分为两个风险亚组。Kaplan-Meier(KM)生存曲线表明,风险评分较低的患者总体生存率(OS)显著更佳。结合临床特征,风险评分是预测TCGA-LIHC队列和ICGC-LIHC队列中LIHC患者OS的独立因素。进行了功能富集和免疫功能分析。此外,基于风险评分、年龄、性别和肿瘤分期的列线图用于预测LIHC患者的死亡率。此外,对风险模型中的9个基因进行了KM生存分析,其中CHMP4A、SCAF11和GSDMC的结果有显著差异,并构建了ceRNA网络。基于SCAF11的核心作用,我们进行了功能丧失实验以探索SCAF11的功能。抑制SCAF11表达可抑制肝癌细胞系的增殖、减弱其迁移和侵袭能力并诱导其凋亡。总之,细胞焦亡相关模型和列线图可用于LIHC的临床预后预测。本研究首次证明SCAF11促进肝癌进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f80b/8931679/0b22d575afbc/fmolb-09-822503-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