{"title":"评估甲状腺癌的预后模型和免疫特性的昼夜节律相关基因。","authors":"Xiuping Qiu, Gang Chen, Mei Tu","doi":"10.2174/0109298673374398250523073407","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Circadian rhythm-related genes (CRRGs) play a crucial role in regulating cellular processes, including survival, invasion, proliferation, and metastasis across various tumors. However, their specific function in thyroid cancer (THCA) remains uncertain. This study explores the prognostic significance of CRRGs in THCA and evaluates their potential as therapeutic targets.</p><p><strong>Methods: </strong>Clinical and gene expression data from the Cancer Genome Atlas (TCGA) were analyzed to assess the relevance of CRRGs in THCA. Somatic mutation analysis, risk model development, and comparisons between high- and low-risk patient groups were carried out using Gene Set Variation Analysis (GSVA). Tumor immune microenvironment characteristics were evaluated, and data from Kaplan-Meier (K-M) survival analysis was used to examine prognostic outcomes. Functional validation of nine CRRGs, namely CHEK1, GHR, ID3, IDI1, MAGEL2, NLGN1, PPARGC1A, TBL1X, and TF, was conducted through in vitro experiments.</p><p><strong>Results: </strong>The CRRG-based risk model stratified patients into high- and low-risk groups, with K-M analysis revealing that patients in the low-risk group had significantly poorer outcomes. Functional analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA), identified pathways associated with THCA in both groups. Using single-sample GSEA (ssGSEA), patients were further categorized by circadian rhythm scores (CRscores), highlighting distinct immune profiles between the two groups. A clinical Cox model was developed, and differential gene expression was validated through in vitro experiments.</p><p><strong>Conclusion: </strong>This study presents a novel CRRG-based prognostic model for THCA, providing a valuable tool for patient stratification and providing insights for optimizing immunotherapy strategies.</p>","PeriodicalId":10984,"journal":{"name":"Current medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of Circadian Rhythm-related Genes for Prognosis Modeling and Immune Characterization in Thyroid Cancer.\",\"authors\":\"Xiuping Qiu, Gang Chen, Mei Tu\",\"doi\":\"10.2174/0109298673374398250523073407\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Circadian rhythm-related genes (CRRGs) play a crucial role in regulating cellular processes, including survival, invasion, proliferation, and metastasis across various tumors. However, their specific function in thyroid cancer (THCA) remains uncertain. This study explores the prognostic significance of CRRGs in THCA and evaluates their potential as therapeutic targets.</p><p><strong>Methods: </strong>Clinical and gene expression data from the Cancer Genome Atlas (TCGA) were analyzed to assess the relevance of CRRGs in THCA. Somatic mutation analysis, risk model development, and comparisons between high- and low-risk patient groups were carried out using Gene Set Variation Analysis (GSVA). Tumor immune microenvironment characteristics were evaluated, and data from Kaplan-Meier (K-M) survival analysis was used to examine prognostic outcomes. Functional validation of nine CRRGs, namely CHEK1, GHR, ID3, IDI1, MAGEL2, NLGN1, PPARGC1A, TBL1X, and TF, was conducted through in vitro experiments.</p><p><strong>Results: </strong>The CRRG-based risk model stratified patients into high- and low-risk groups, with K-M analysis revealing that patients in the low-risk group had significantly poorer outcomes. Functional analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA), identified pathways associated with THCA in both groups. Using single-sample GSEA (ssGSEA), patients were further categorized by circadian rhythm scores (CRscores), highlighting distinct immune profiles between the two groups. A clinical Cox model was developed, and differential gene expression was validated through in vitro experiments.</p><p><strong>Conclusion: </strong>This study presents a novel CRRG-based prognostic model for THCA, providing a valuable tool for patient stratification and providing insights for optimizing immunotherapy strategies.</p>\",\"PeriodicalId\":10984,\"journal\":{\"name\":\"Current medicinal chemistry\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current medicinal chemistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2174/0109298673374398250523073407\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current medicinal chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0109298673374398250523073407","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Evaluation of Circadian Rhythm-related Genes for Prognosis Modeling and Immune Characterization in Thyroid Cancer.
Background: Circadian rhythm-related genes (CRRGs) play a crucial role in regulating cellular processes, including survival, invasion, proliferation, and metastasis across various tumors. However, their specific function in thyroid cancer (THCA) remains uncertain. This study explores the prognostic significance of CRRGs in THCA and evaluates their potential as therapeutic targets.
Methods: Clinical and gene expression data from the Cancer Genome Atlas (TCGA) were analyzed to assess the relevance of CRRGs in THCA. Somatic mutation analysis, risk model development, and comparisons between high- and low-risk patient groups were carried out using Gene Set Variation Analysis (GSVA). Tumor immune microenvironment characteristics were evaluated, and data from Kaplan-Meier (K-M) survival analysis was used to examine prognostic outcomes. Functional validation of nine CRRGs, namely CHEK1, GHR, ID3, IDI1, MAGEL2, NLGN1, PPARGC1A, TBL1X, and TF, was conducted through in vitro experiments.
Results: The CRRG-based risk model stratified patients into high- and low-risk groups, with K-M analysis revealing that patients in the low-risk group had significantly poorer outcomes. Functional analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA), identified pathways associated with THCA in both groups. Using single-sample GSEA (ssGSEA), patients were further categorized by circadian rhythm scores (CRscores), highlighting distinct immune profiles between the two groups. A clinical Cox model was developed, and differential gene expression was validated through in vitro experiments.
Conclusion: This study presents a novel CRRG-based prognostic model for THCA, providing a valuable tool for patient stratification and providing insights for optimizing immunotherapy strategies.
期刊介绍:
Aims & Scope
Current Medicinal Chemistry covers all the latest and outstanding developments in medicinal chemistry and rational drug design. Each issue contains a series of timely in-depth reviews and guest edited thematic issues written by leaders in the field covering a range of the current topics in medicinal chemistry. The journal also publishes reviews on recent patents. Current Medicinal Chemistry is an essential journal for every medicinal chemist who wishes to be kept informed and up-to-date with the latest and most important developments.