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Establishment and Validation of an Anoiki-Associated Gene Si...

Establishment and Validation of an Anoiki-Associated Gene Signature Capable of Predicting Hepatocellular Carcinoma-related Immune Cell Infiltration and Prognostic Outcomes

作     者:Junjie Ni Lutong Liu Pu Wu Xiaotao Zhu Chaoyang Xu 

会议名称:《浙江省免疫学会第十三次学术大会》

会议日期:1000年

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

关 键 词:anoikis hepatocellular carcinoma prognostic model immune microenvironment drug tolerance 

摘      要:Background:Hepatocellular carcinoma(HCC) is extremely heterogeneous,abd predicting patient outcomes remains a *** is a distinct type of cell death that exerts an essential role in oncogenic invasion and *** presence of anti-anoikis factors contributes to cancer aggressiveness and drug *** and methods:HCC patient transcriptomic and clinical data were accessed using public databases.A least absolute shrinkage and selection operator(LASSO) Cox approach was used to define a multigenic prognostic biosignature in the Cancer Genome Atlas(TCGA) patients,after which International Cancer Genome Consortium(ICGC)patients were leveraged for validation of this *** overall survival(OS) of low-and high-risk patient groups was compared using Kaplan-Meier analyses,with univariate and multivariate approaches being employed to establish independent predictors related to patient OS.A single-sample gene-set enrichment analysis(ssGSEA) strategy was also used to calculate immune cell infiltration scores and immune pathway activity,while Kyoto encyclopedia of genes and genome(KEGG) and Hallmark enrichment was identified via GSEA ***:Through the use of a LASSO Cox regression approach,a 9-gene anoikis-related biosignature model was ***-risk patient OS was shorter relative to low-risk *** operating characteristic(ROC)curves confirmed the robust prognostic utility of this 9-gene biosignature,and risk scores were independently related to patient OS in a multivariate Cox *** differences in immune status were also detected between these groups,with greater enrichment of cancer-associated pathways in high-risk *** scores were significantly related to tumor staging,grading,and immune infiltration *** gene expression was also significantly related with tumor cell anti-tumor drug ***:These results highlight a novel signature comprised of 9 anoikis-relat

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