EMT-related gene risk model establishment for prognosis and drug treatment efficiency prediction in hepatocellular carcinoma
Abstract This study was designed to evaluate the prognosis and pharmacological therapy sensitivity of epithelial mesenchymal transition-related genes (EMTRGs) that obtained from the EMTome database in hepatocellular carcinoma (HCC) using bioinformatical method. The expression status of EMTRGs were a...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-11-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-47886-z |
| _version_ | 1797452856313249792 |
|---|---|
| author | Xiaqing Gao Chunting Yang Hailong Li Lihua Shao Meng Wang Rong Su |
| author_facet | Xiaqing Gao Chunting Yang Hailong Li Lihua Shao Meng Wang Rong Su |
| author_sort | Xiaqing Gao |
| collection | DOAJ |
| description | Abstract This study was designed to evaluate the prognosis and pharmacological therapy sensitivity of epithelial mesenchymal transition-related genes (EMTRGs) that obtained from the EMTome database in hepatocellular carcinoma (HCC) using bioinformatical method. The expression status of EMTRGs were also investigated using the clinical information of HCC patients supported by TCGA database and the ICGC database to establish the TCGA cohort as the training set and the ICGC cohort as the validation set. Analyze the EMTRGs between HCC tissue and liver tissue in the TCGA cohort in the order of univariate COX regression, LASSO regression, and multivariate COX regression, and construct a risk model for EMTRGs. In addition, enrichment pathways, gene mutation status, immune infiltration, and response to drugs were also analyzed in the high-risk and low-risk groups of the TCGA cohort, and the protein expression status of EMTRGs was verified. The results showed a total of 286 differentially expressed EMTRGs in the TCGA cohort, and EZH2, S100A9, TNFRSF11B, SPINK5, and CCL21 were used for modeling. The TCGA cohort was found to have a worse outcome in the high-risk group of HCC patients, and the ICGC cohort confirmed this finding. In addition, EMTRGs risk score was shown to be an independent prognostic factor in both cohorts by univariate and multivariate COX regression. The results of GSEA analysis showed that most of the enriched pathways in the high-risk group were associated with tumor, and the pathways enriched in the low-risk group were mainly associated with metabolism. Patients in various risk groups had varying immunological conditions, and the high-risk group might benefit more from targeted treatments. To sum up, the EMTRGs risk model was developed to forecast the prognosis for HCC patients, and the model might be useful in assisting in the choice of treatment drugs for HCC patients. |
| first_indexed | 2024-03-09T15:14:42Z |
| format | Article |
| id | doaj.art-7fedc55a4b5f4f08a86af8de884d9fce |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-09T15:14:42Z |
| publishDate | 2023-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-7fedc55a4b5f4f08a86af8de884d9fce2023-11-26T13:09:22ZengNature PortfolioScientific Reports2045-23222023-11-0113111410.1038/s41598-023-47886-zEMT-related gene risk model establishment for prognosis and drug treatment efficiency prediction in hepatocellular carcinomaXiaqing Gao0Chunting Yang1Hailong Li2Lihua Shao3Meng Wang4Rong Su5The First Clinical Medical College, Gansu University of Chinese MedicineThe First Clinical Medical College, Gansu University of Chinese MedicineThe First Clinical Medical College, Gansu University of Chinese MedicineThe First Clinical Medical College, Gansu University of Chinese MedicineThe First Clinical Medical College, Gansu University of Chinese MedicineThe First Clinical Medical College, Gansu University of Chinese MedicineAbstract This study was designed to evaluate the prognosis and pharmacological therapy sensitivity of epithelial mesenchymal transition-related genes (EMTRGs) that obtained from the EMTome database in hepatocellular carcinoma (HCC) using bioinformatical method. The expression status of EMTRGs were also investigated using the clinical information of HCC patients supported by TCGA database and the ICGC database to establish the TCGA cohort as the training set and the ICGC cohort as the validation set. Analyze the EMTRGs between HCC tissue and liver tissue in the TCGA cohort in the order of univariate COX regression, LASSO regression, and multivariate COX regression, and construct a risk model for EMTRGs. In addition, enrichment pathways, gene mutation status, immune infiltration, and response to drugs were also analyzed in the high-risk and low-risk groups of the TCGA cohort, and the protein expression status of EMTRGs was verified. The results showed a total of 286 differentially expressed EMTRGs in the TCGA cohort, and EZH2, S100A9, TNFRSF11B, SPINK5, and CCL21 were used for modeling. The TCGA cohort was found to have a worse outcome in the high-risk group of HCC patients, and the ICGC cohort confirmed this finding. In addition, EMTRGs risk score was shown to be an independent prognostic factor in both cohorts by univariate and multivariate COX regression. The results of GSEA analysis showed that most of the enriched pathways in the high-risk group were associated with tumor, and the pathways enriched in the low-risk group were mainly associated with metabolism. Patients in various risk groups had varying immunological conditions, and the high-risk group might benefit more from targeted treatments. To sum up, the EMTRGs risk model was developed to forecast the prognosis for HCC patients, and the model might be useful in assisting in the choice of treatment drugs for HCC patients.https://doi.org/10.1038/s41598-023-47886-z |
| spellingShingle | Xiaqing Gao Chunting Yang Hailong Li Lihua Shao Meng Wang Rong Su EMT-related gene risk model establishment for prognosis and drug treatment efficiency prediction in hepatocellular carcinoma Scientific Reports |
| title | EMT-related gene risk model establishment for prognosis and drug treatment efficiency prediction in hepatocellular carcinoma |
| title_full | EMT-related gene risk model establishment for prognosis and drug treatment efficiency prediction in hepatocellular carcinoma |
| title_fullStr | EMT-related gene risk model establishment for prognosis and drug treatment efficiency prediction in hepatocellular carcinoma |
| title_full_unstemmed | EMT-related gene risk model establishment for prognosis and drug treatment efficiency prediction in hepatocellular carcinoma |
| title_short | EMT-related gene risk model establishment for prognosis and drug treatment efficiency prediction in hepatocellular carcinoma |
| title_sort | emt related gene risk model establishment for prognosis and drug treatment efficiency prediction in hepatocellular carcinoma |
| url | https://doi.org/10.1038/s41598-023-47886-z |
| work_keys_str_mv | AT xiaqinggao emtrelatedgeneriskmodelestablishmentforprognosisanddrugtreatmentefficiencypredictioninhepatocellularcarcinoma AT chuntingyang emtrelatedgeneriskmodelestablishmentforprognosisanddrugtreatmentefficiencypredictioninhepatocellularcarcinoma AT hailongli emtrelatedgeneriskmodelestablishmentforprognosisanddrugtreatmentefficiencypredictioninhepatocellularcarcinoma AT lihuashao emtrelatedgeneriskmodelestablishmentforprognosisanddrugtreatmentefficiencypredictioninhepatocellularcarcinoma AT mengwang emtrelatedgeneriskmodelestablishmentforprognosisanddrugtreatmentefficiencypredictioninhepatocellularcarcinoma AT rongsu emtrelatedgeneriskmodelestablishmentforprognosisanddrugtreatmentefficiencypredictioninhepatocellularcarcinoma |