Chen Yang, Yao Chen, Tao Tao, Ping Xu, Miaomiao Li, Bicheng Deng, Sihan Lu, Minfeng Yang, Weijie Wang, Jinghan Wang, Songbai Liu
{"title":"ERCC3相关基因可能有助于肝细胞癌的预后和免疫治疗分析","authors":"Chen Yang, Yao Chen, Tao Tao, Ping Xu, Miaomiao Li, Bicheng Deng, Sihan Lu, Minfeng Yang, Weijie Wang, Jinghan Wang, Songbai Liu","doi":"10.2174/0113862073288597240522064027","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Hepatocellular carcinoma (HCC) has high morbidity and mortality worldwide. Excision repair cross-complement 3 (ERCC3), a key functional gene in the nucleotide excision repair (NER) pathway, is commonly mutated or overexpressed in cancers and is thought to be a key gene contributing to the development of HCC. The characteristics of immune cell infiltration in the global tumor microenvironment (TME) mediated by ERCC3 and its related key genes in HCC are still unclear. The aim of this study was to integrate the role of ERCC3-related key genes in assessing the TME cell infiltration characteristics, immunotherapy efficacy, and prognosis of HCC patients. This study provides a theoretical basis for the study of immunological mechanisms and prognosis prediction in HCC.</p><p><strong>Methods: </strong>The HCC cohort from the TCGA database included 50 normal samples and 374 tumor samples to compare the differences in ERCC3-related gene expression and prognosis between liver tumor tissues and normal liver tissues and to analyze the extent to which different genes infiltrated TME cells by quantifying the relative abundance of 24 cells through single-sample genome enrichment analysis (ssGSEA). A risk score associated with the ERCC3 gene was constructed using the least absolute shrinkage and selection operator (LASSO) Cox regression model.</p><p><strong>Results: </strong>The expression of 11 ERCC3-related genes was significantly upregulated in HCC tumor tissues compared to normal liver tissues, and high expression of these genes was significantly associated with poor prognosis in HCC patients. The key genes (11 ERCC3-related genes) were closely associated with the nucleic acid reduction signaling pathway in nucleic acid metabolism and the viral oncogenic pathway, suggesting that these key genes may play a role in tumor cell proliferation, migration, and invasion, as well as in the pathogenesis of virus-associated HCC. In addition, the infiltration characteristics of TME immune cells in normal and tumor tissues were different. Immune and mesenchymal activity was significantly lower in tumor tissues than in healthy liver tissues. This study revealed that key genes were significantly positively correlated with CTLA4 and enriched in central memory CD4 T cells, effector memory CD4 T cells, activated CD4 T cells, and type 2 T helper cells. The prognostic model constructed by regression analysis could better distinguish patients into high-risk and low-risk groups, and the survival analysis showed that the survival time of patients with high-risk score subtypes was significantly lower than that of patients with low-risk scores and that the high-risk group contained higher levels of immune-suppressive cells, which may be a mediator of immune escape. Moreover, multivariate analyses showed that the risk score profile is a reliable and unbiased biomarker for assessing the prognosis of HCC patients, and its value in predicting the outcome of immunotherapy was also confirmed.</p><p><strong>Conclusion: </strong>This study revealed a novel genetic signature that is significantly associated with TME cell infiltration and prognosis in HCC patients. It demonstrated that the combined action of multiple key genes associated with ERCC3 plays a crucial role in shaping the diversity and complexity of TME cell infiltrates. Evaluating the combined characteristics of multiple key genes associated with ERCC3 can help predict the outcome of immunotherapy in patients and provide new potential targets for immuno-individualized therapeutic studies on HCC.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ERCC3-Related Genes May Aid in the Prognostic and Immunotherapeutic Analysis of Hepatocellular Carcinoma.\",\"authors\":\"Chen Yang, Yao Chen, Tao Tao, Ping Xu, Miaomiao Li, Bicheng Deng, Sihan Lu, Minfeng Yang, Weijie Wang, Jinghan Wang, Songbai Liu\",\"doi\":\"10.2174/0113862073288597240522064027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Hepatocellular carcinoma (HCC) has high morbidity and mortality worldwide. Excision repair cross-complement 3 (ERCC3), a key functional gene in the nucleotide excision repair (NER) pathway, is commonly mutated or overexpressed in cancers and is thought to be a key gene contributing to the development of HCC. The characteristics of immune cell infiltration in the global tumor microenvironment (TME) mediated by ERCC3 and its related key genes in HCC are still unclear. The aim of this study was to integrate the role of ERCC3-related key genes in assessing the TME cell infiltration characteristics, immunotherapy efficacy, and prognosis of HCC patients. This study provides a theoretical basis for the study of immunological mechanisms and prognosis prediction in HCC.</p><p><strong>Methods: </strong>The HCC cohort from the TCGA database included 50 normal samples and 374 tumor samples to compare the differences in ERCC3-related gene expression and prognosis between liver tumor tissues and normal liver tissues and to analyze the extent to which different genes infiltrated TME cells by quantifying the relative abundance of 24 cells through single-sample genome enrichment analysis (ssGSEA). A risk score associated with the ERCC3 gene was constructed using the least absolute shrinkage and selection operator (LASSO) Cox regression model.</p><p><strong>Results: </strong>The expression of 11 ERCC3-related genes was significantly upregulated in HCC tumor tissues compared to normal liver tissues, and high expression of these genes was significantly associated with poor prognosis in HCC patients. The key genes (11 ERCC3-related genes) were closely associated with the nucleic acid reduction signaling pathway in nucleic acid metabolism and the viral oncogenic pathway, suggesting that these key genes may play a role in tumor cell proliferation, migration, and invasion, as well as in the pathogenesis of virus-associated HCC. In addition, the infiltration characteristics of TME immune cells in normal and tumor tissues were different. Immune and mesenchymal activity was significantly lower in tumor tissues than in healthy liver tissues. This study revealed that key genes were significantly positively correlated with CTLA4 and enriched in central memory CD4 T cells, effector memory CD4 T cells, activated CD4 T cells, and type 2 T helper cells. The prognostic model constructed by regression analysis could better distinguish patients into high-risk and low-risk groups, and the survival analysis showed that the survival time of patients with high-risk score subtypes was significantly lower than that of patients with low-risk scores and that the high-risk group contained higher levels of immune-suppressive cells, which may be a mediator of immune escape. Moreover, multivariate analyses showed that the risk score profile is a reliable and unbiased biomarker for assessing the prognosis of HCC patients, and its value in predicting the outcome of immunotherapy was also confirmed.</p><p><strong>Conclusion: </strong>This study revealed a novel genetic signature that is significantly associated with TME cell infiltration and prognosis in HCC patients. It demonstrated that the combined action of multiple key genes associated with ERCC3 plays a crucial role in shaping the diversity and complexity of TME cell infiltrates. Evaluating the combined characteristics of multiple key genes associated with ERCC3 can help predict the outcome of immunotherapy in patients and provide new potential targets for immuno-individualized therapeutic studies on HCC.</p>\",\"PeriodicalId\":10491,\"journal\":{\"name\":\"Combinatorial chemistry & high throughput screening\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Combinatorial chemistry & high throughput screening\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2174/0113862073288597240522064027\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Combinatorial chemistry & high throughput screening","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0113862073288597240522064027","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
ERCC3-Related Genes May Aid in the Prognostic and Immunotherapeutic Analysis of Hepatocellular Carcinoma.
Background: Hepatocellular carcinoma (HCC) has high morbidity and mortality worldwide. Excision repair cross-complement 3 (ERCC3), a key functional gene in the nucleotide excision repair (NER) pathway, is commonly mutated or overexpressed in cancers and is thought to be a key gene contributing to the development of HCC. The characteristics of immune cell infiltration in the global tumor microenvironment (TME) mediated by ERCC3 and its related key genes in HCC are still unclear. The aim of this study was to integrate the role of ERCC3-related key genes in assessing the TME cell infiltration characteristics, immunotherapy efficacy, and prognosis of HCC patients. This study provides a theoretical basis for the study of immunological mechanisms and prognosis prediction in HCC.
Methods: The HCC cohort from the TCGA database included 50 normal samples and 374 tumor samples to compare the differences in ERCC3-related gene expression and prognosis between liver tumor tissues and normal liver tissues and to analyze the extent to which different genes infiltrated TME cells by quantifying the relative abundance of 24 cells through single-sample genome enrichment analysis (ssGSEA). A risk score associated with the ERCC3 gene was constructed using the least absolute shrinkage and selection operator (LASSO) Cox regression model.
Results: The expression of 11 ERCC3-related genes was significantly upregulated in HCC tumor tissues compared to normal liver tissues, and high expression of these genes was significantly associated with poor prognosis in HCC patients. The key genes (11 ERCC3-related genes) were closely associated with the nucleic acid reduction signaling pathway in nucleic acid metabolism and the viral oncogenic pathway, suggesting that these key genes may play a role in tumor cell proliferation, migration, and invasion, as well as in the pathogenesis of virus-associated HCC. In addition, the infiltration characteristics of TME immune cells in normal and tumor tissues were different. Immune and mesenchymal activity was significantly lower in tumor tissues than in healthy liver tissues. This study revealed that key genes were significantly positively correlated with CTLA4 and enriched in central memory CD4 T cells, effector memory CD4 T cells, activated CD4 T cells, and type 2 T helper cells. The prognostic model constructed by regression analysis could better distinguish patients into high-risk and low-risk groups, and the survival analysis showed that the survival time of patients with high-risk score subtypes was significantly lower than that of patients with low-risk scores and that the high-risk group contained higher levels of immune-suppressive cells, which may be a mediator of immune escape. Moreover, multivariate analyses showed that the risk score profile is a reliable and unbiased biomarker for assessing the prognosis of HCC patients, and its value in predicting the outcome of immunotherapy was also confirmed.
Conclusion: This study revealed a novel genetic signature that is significantly associated with TME cell infiltration and prognosis in HCC patients. It demonstrated that the combined action of multiple key genes associated with ERCC3 plays a crucial role in shaping the diversity and complexity of TME cell infiltrates. Evaluating the combined characteristics of multiple key genes associated with ERCC3 can help predict the outcome of immunotherapy in patients and provide new potential targets for immuno-individualized therapeutic studies on HCC.
期刊介绍:
Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal:
Target identification and validation
Assay design, development, miniaturization and comparison
High throughput/high content/in silico screening and associated technologies
Label-free detection technologies and applications
Stem cell technologies
Biomarkers
ADMET/PK/PD methodologies and screening
Probe discovery and development, hit to lead optimization
Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries)
Chemical library design and chemical diversity
Chemo/bio-informatics, data mining
Compound management
Pharmacognosy
Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products)
Natural Product Analytical Studies
Bipharmaceutical studies of Natural products
Drug repurposing
Data management and statistical analysis
Laboratory automation, robotics, microfluidics, signal detection technologies
Current & Future Institutional Research Profile
Technology transfer, legal and licensing issues
Patents.