{"title":"anoikis转录特征在预测肝细胞癌预后和免疫微环境中的潜在价值。","authors":"Fu-Rong Cheng, Wen-Yu Song, Peng-Bo Cao, Gang-Qiao Zhou","doi":"10.16288/j.yczz.25-007","DOIUrl":null,"url":null,"abstract":"<p><p>Resistance to anoikis, a crucial factor in cancer cell survival, drives the development and progression of numerous malignancies. Hepatocellular carcinoma (HCC) is a malignant liver tumor characterized by high rates of recurrence and metastasis. However, the role of anoikis in HCC remains poorly understood. In this study, we identify 74 anoikis-related genes (ARGs) differentially expressed in HCC using the transcriptional data from The Cancer Genome Atlas (TCGA). Then, we develop a prognostic model incorporating 9 of these genes through LASSO-Cox regression analysis, and confirm the model's independent prognostic significance for overall survival in HCC patients by using multivariable Cox proportional hazards analysis. Furthermore, we observe significant enrichment of activated proliferation-related pathways, increased infiltration of immunosuppressive cells and resistance to anti-PD-L1 therapy in the high-risk group defined by this model. These findings suggest that the ARG model may serve as a novel prognostic indicator for HCC patients and underscore the critical role of anoikis in HCC progression.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 7","pages":"768-785"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Potential value of anoikis transcriptional signatures in predicting prognosis and immune microenvironment in hepatocellular carcinoma.\",\"authors\":\"Fu-Rong Cheng, Wen-Yu Song, Peng-Bo Cao, Gang-Qiao Zhou\",\"doi\":\"10.16288/j.yczz.25-007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Resistance to anoikis, a crucial factor in cancer cell survival, drives the development and progression of numerous malignancies. Hepatocellular carcinoma (HCC) is a malignant liver tumor characterized by high rates of recurrence and metastasis. However, the role of anoikis in HCC remains poorly understood. In this study, we identify 74 anoikis-related genes (ARGs) differentially expressed in HCC using the transcriptional data from The Cancer Genome Atlas (TCGA). Then, we develop a prognostic model incorporating 9 of these genes through LASSO-Cox regression analysis, and confirm the model's independent prognostic significance for overall survival in HCC patients by using multivariable Cox proportional hazards analysis. Furthermore, we observe significant enrichment of activated proliferation-related pathways, increased infiltration of immunosuppressive cells and resistance to anti-PD-L1 therapy in the high-risk group defined by this model. These findings suggest that the ARG model may serve as a novel prognostic indicator for HCC patients and underscore the critical role of anoikis in HCC progression.</p>\",\"PeriodicalId\":35536,\"journal\":{\"name\":\"遗传\",\"volume\":\"47 7\",\"pages\":\"768-785\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"遗传\",\"FirstCategoryId\":\"1091\",\"ListUrlMain\":\"https://doi.org/10.16288/j.yczz.25-007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"遗传","FirstCategoryId":"1091","ListUrlMain":"https://doi.org/10.16288/j.yczz.25-007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
Potential value of anoikis transcriptional signatures in predicting prognosis and immune microenvironment in hepatocellular carcinoma.
Resistance to anoikis, a crucial factor in cancer cell survival, drives the development and progression of numerous malignancies. Hepatocellular carcinoma (HCC) is a malignant liver tumor characterized by high rates of recurrence and metastasis. However, the role of anoikis in HCC remains poorly understood. In this study, we identify 74 anoikis-related genes (ARGs) differentially expressed in HCC using the transcriptional data from The Cancer Genome Atlas (TCGA). Then, we develop a prognostic model incorporating 9 of these genes through LASSO-Cox regression analysis, and confirm the model's independent prognostic significance for overall survival in HCC patients by using multivariable Cox proportional hazards analysis. Furthermore, we observe significant enrichment of activated proliferation-related pathways, increased infiltration of immunosuppressive cells and resistance to anti-PD-L1 therapy in the high-risk group defined by this model. These findings suggest that the ARG model may serve as a novel prognostic indicator for HCC patients and underscore the critical role of anoikis in HCC progression.
期刊介绍:
Hereditas is a national academic journal sponsored by the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences and the Chinese Society of Genetics and published by Science Press. It is a Chinese core journal and a Chinese high-quality scientific journal. The journal mainly publishes innovative research papers in the fields of genetics, genomics, cell biology, developmental biology, biological evolution, genetic engineering and biotechnology; new technologies and new methods; monographs and reviews on hot issues in the discipline; academic debates and discussions; experience in genetics teaching; introductions to famous geneticists at home and abroad; genetic counseling; information on academic conferences at home and abroad, etc. Main columns: review, frontier focus, research report, technology and method, resources and platform, experimental operation guide, genetic resources, genetics teaching, scientific news, etc.