Construction and validation of a prognostic model based on autophagy-related genes for hepatocellular carcinoma in the Asian population
Abstract Background and objective Hepatocellular carcinoma (HCC), which has a complex pathogenesis and poor prognosis, is one of the most common malignancies worldwide. Hepatitis virus B infection is the most common cause of HCC in Asian patients. Autophagy is the process of digestion and degradatio...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-06-01
|
| Series: | BMC Genomics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12864-023-09367-5 |
| _version_ | 1797789950882611200 |
|---|---|
| author | Yanjie Wang Sijia Huang Yingtian Zhang Yaping Cheng Liya Dai Wenwen Gao Zhengyang Feng Jialong Tao Yusong Zhang |
| author_facet | Yanjie Wang Sijia Huang Yingtian Zhang Yaping Cheng Liya Dai Wenwen Gao Zhengyang Feng Jialong Tao Yusong Zhang |
| author_sort | Yanjie Wang |
| collection | DOAJ |
| description | Abstract Background and objective Hepatocellular carcinoma (HCC), which has a complex pathogenesis and poor prognosis, is one of the most common malignancies worldwide. Hepatitis virus B infection is the most common cause of HCC in Asian patients. Autophagy is the process of digestion and degradation, and studies have shown that autophagy-associated effects are closely related to the development of HCC. In this study, we aimed to construct a prognostic model based on autophagy-related genes (ARGs) for the Asian HCC population to provide new ideas for the clinical management of HCC in the Asian population. Methods The clinical information and transcriptome data of Asian patients with HCC were downloaded from The Cancer Genome Atlas (TCGA) database, and 206 ARGs were downloaded from the human autophagy database (HADB). We performed differential and Cox regression analyses to construct a risk score model. The accuracy of the model was validated by using the Kaplan–Meier (K–M) survival curve, receiver operating characteristic (ROC) curve, and univariate and multivariate Cox independent prognostic analyses. The results Thirteen ARGs that were significantly associated with prognosis were finally identified by univariate and multivariate Cox regression analyses. The K–M survival curves showed that the survival rate of the low-risk group was significantly higher than that of the high-risk group (p < 0.001), and the multi-indicator ROC curves further demonstrated the predictive ability of the model (AUC = 0.877). Conclusion The risk score model based on ARGs was effective in predicting the prognosis of Asian patients with HCC. |
| first_indexed | 2024-03-13T01:57:57Z |
| format | Article |
| id | doaj.art-ffad9518894a411ebf8e4422845324f0 |
| institution | Directory Open Access Journal |
| issn | 1471-2164 |
| language | English |
| last_indexed | 2024-03-13T01:57:57Z |
| publishDate | 2023-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Genomics |
| spelling | doaj.art-ffad9518894a411ebf8e4422845324f02023-07-02T11:08:33ZengBMCBMC Genomics1471-21642023-06-0124111310.1186/s12864-023-09367-5Construction and validation of a prognostic model based on autophagy-related genes for hepatocellular carcinoma in the Asian populationYanjie Wang0Sijia Huang1Yingtian Zhang2Yaping Cheng3Liya Dai4Wenwen Gao5Zhengyang Feng6Jialong Tao7Yusong Zhang8Department of Oncology, The Second Affiliated Hospital of Soochow UniversityDepartment of Oncology, The Second Affiliated Hospital of Soochow UniversityDepartment of Oncology, The Second Affiliated Hospital of Soochow UniversityDepartment of Oncology, The Second Affiliated Hospital of Soochow UniversityDepartment of Oncology, The Second Affiliated Hospital of Soochow UniversityDepartment of Oncology, The Second Affiliated Hospital of Soochow UniversityDepartment of Oncology, The Second Affiliated Hospital of Soochow UniversityDepartment of Oncology, The Second Affiliated Hospital of Soochow UniversityDepartment of Oncology, The Second Affiliated Hospital of Soochow UniversityAbstract Background and objective Hepatocellular carcinoma (HCC), which has a complex pathogenesis and poor prognosis, is one of the most common malignancies worldwide. Hepatitis virus B infection is the most common cause of HCC in Asian patients. Autophagy is the process of digestion and degradation, and studies have shown that autophagy-associated effects are closely related to the development of HCC. In this study, we aimed to construct a prognostic model based on autophagy-related genes (ARGs) for the Asian HCC population to provide new ideas for the clinical management of HCC in the Asian population. Methods The clinical information and transcriptome data of Asian patients with HCC were downloaded from The Cancer Genome Atlas (TCGA) database, and 206 ARGs were downloaded from the human autophagy database (HADB). We performed differential and Cox regression analyses to construct a risk score model. The accuracy of the model was validated by using the Kaplan–Meier (K–M) survival curve, receiver operating characteristic (ROC) curve, and univariate and multivariate Cox independent prognostic analyses. The results Thirteen ARGs that were significantly associated with prognosis were finally identified by univariate and multivariate Cox regression analyses. The K–M survival curves showed that the survival rate of the low-risk group was significantly higher than that of the high-risk group (p < 0.001), and the multi-indicator ROC curves further demonstrated the predictive ability of the model (AUC = 0.877). Conclusion The risk score model based on ARGs was effective in predicting the prognosis of Asian patients with HCC.https://doi.org/10.1186/s12864-023-09367-5Hepatocellular carcinomaAutophagy-related genePrognostic modelThe Cancer Genome Atlas database |
| spellingShingle | Yanjie Wang Sijia Huang Yingtian Zhang Yaping Cheng Liya Dai Wenwen Gao Zhengyang Feng Jialong Tao Yusong Zhang Construction and validation of a prognostic model based on autophagy-related genes for hepatocellular carcinoma in the Asian population BMC Genomics Hepatocellular carcinoma Autophagy-related gene Prognostic model The Cancer Genome Atlas database |
| title | Construction and validation of a prognostic model based on autophagy-related genes for hepatocellular carcinoma in the Asian population |
| title_full | Construction and validation of a prognostic model based on autophagy-related genes for hepatocellular carcinoma in the Asian population |
| title_fullStr | Construction and validation of a prognostic model based on autophagy-related genes for hepatocellular carcinoma in the Asian population |
| title_full_unstemmed | Construction and validation of a prognostic model based on autophagy-related genes for hepatocellular carcinoma in the Asian population |
| title_short | Construction and validation of a prognostic model based on autophagy-related genes for hepatocellular carcinoma in the Asian population |
| title_sort | construction and validation of a prognostic model based on autophagy related genes for hepatocellular carcinoma in the asian population |
| topic | Hepatocellular carcinoma Autophagy-related gene Prognostic model The Cancer Genome Atlas database |
| url | https://doi.org/10.1186/s12864-023-09367-5 |
| work_keys_str_mv | AT yanjiewang constructionandvalidationofaprognosticmodelbasedonautophagyrelatedgenesforhepatocellularcarcinomaintheasianpopulation AT sijiahuang constructionandvalidationofaprognosticmodelbasedonautophagyrelatedgenesforhepatocellularcarcinomaintheasianpopulation AT yingtianzhang constructionandvalidationofaprognosticmodelbasedonautophagyrelatedgenesforhepatocellularcarcinomaintheasianpopulation AT yapingcheng constructionandvalidationofaprognosticmodelbasedonautophagyrelatedgenesforhepatocellularcarcinomaintheasianpopulation AT liyadai constructionandvalidationofaprognosticmodelbasedonautophagyrelatedgenesforhepatocellularcarcinomaintheasianpopulation AT wenwengao constructionandvalidationofaprognosticmodelbasedonautophagyrelatedgenesforhepatocellularcarcinomaintheasianpopulation AT zhengyangfeng constructionandvalidationofaprognosticmodelbasedonautophagyrelatedgenesforhepatocellularcarcinomaintheasianpopulation AT jialongtao constructionandvalidationofaprognosticmodelbasedonautophagyrelatedgenesforhepatocellularcarcinomaintheasianpopulation AT yusongzhang constructionandvalidationofaprognosticmodelbasedonautophagyrelatedgenesforhepatocellularcarcinomaintheasianpopulation |