Qingqing Wang, Yifan Lu, Songhai Chen, Xuanzeng Pei, Jie Zhang
{"title":"肝细胞癌中心体相关特征预测预后的鉴定和验证。","authors":"Qingqing Wang, Yifan Lu, Songhai Chen, Xuanzeng Pei, Jie Zhang","doi":"10.1080/10255842.2025.2566280","DOIUrl":null,"url":null,"abstract":"<p><p>Hepatocellular carcinoma (HCC) is commonly linked with centrosome abnormalities that contribute to chromosomal instability and tumor progression. Four prognostic centrosome-related genes (CRGs): DYNLL1, CEP85, C10orf90, and CETN1 were utilized to develop a risk model for HCC. The model demonstrated strong prognostic reliability. Both risk score and risk group served as independent prognostic predictors for HCC. Further analyses revealed that the low-risk group was associated with metabolism and detoxification pathways and exhibited a lower abundance of M2 macrophages. Additionally, high expression levels of DYNLL1 and CETN1 were significantly correlated with poorer prognosis, with upregulation of DYNLL1 confirmed in HCC patients.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-14"},"PeriodicalIF":1.6000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification and validation of centrosome-related features predicting prognosis in hepatocellular carcinoma.\",\"authors\":\"Qingqing Wang, Yifan Lu, Songhai Chen, Xuanzeng Pei, Jie Zhang\",\"doi\":\"10.1080/10255842.2025.2566280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Hepatocellular carcinoma (HCC) is commonly linked with centrosome abnormalities that contribute to chromosomal instability and tumor progression. Four prognostic centrosome-related genes (CRGs): DYNLL1, CEP85, C10orf90, and CETN1 were utilized to develop a risk model for HCC. The model demonstrated strong prognostic reliability. Both risk score and risk group served as independent prognostic predictors for HCC. Further analyses revealed that the low-risk group was associated with metabolism and detoxification pathways and exhibited a lower abundance of M2 macrophages. Additionally, high expression levels of DYNLL1 and CETN1 were significantly correlated with poorer prognosis, with upregulation of DYNLL1 confirmed in HCC patients.</p>\",\"PeriodicalId\":50640,\"journal\":{\"name\":\"Computer Methods in Biomechanics and Biomedical Engineering\",\"volume\":\" \",\"pages\":\"1-14\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2025-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Methods in Biomechanics and Biomedical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/10255842.2025.2566280\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Biomechanics and Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/10255842.2025.2566280","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Identification and validation of centrosome-related features predicting prognosis in hepatocellular carcinoma.
Hepatocellular carcinoma (HCC) is commonly linked with centrosome abnormalities that contribute to chromosomal instability and tumor progression. Four prognostic centrosome-related genes (CRGs): DYNLL1, CEP85, C10orf90, and CETN1 were utilized to develop a risk model for HCC. The model demonstrated strong prognostic reliability. Both risk score and risk group served as independent prognostic predictors for HCC. Further analyses revealed that the low-risk group was associated with metabolism and detoxification pathways and exhibited a lower abundance of M2 macrophages. Additionally, high expression levels of DYNLL1 and CETN1 were significantly correlated with poorer prognosis, with upregulation of DYNLL1 confirmed in HCC patients.
期刊介绍:
The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.