{"title":"建立新型甲状腺乳头状癌热变态相关基因特征并预测化学药物","authors":"Ru Wang, Xin Chen, Dandan Yi, Chaoyu Jiang, Fazhan Xu, Jiabo Qin, YiHsuan Lee, Jianfeng Sang, Xianbiao Shi","doi":"10.2174/0113892010325685241029113633","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The present study aimed to construct a novel pyroptosis-related gene signature to predict the prognosis of papillary thyroid cancer (PTC).</p><p><strong>Methods: </strong>The gene expression level and survival and prognosis information of PTC were obtained from TCGA. The differentially expressed pyroptosis-related genes (DEPs) between cancer and control groups were selected, followed by subtype analysis. A prognostic model was built using LASSO regression analysis. The samples were then divided into high- and low-risk groups, and the differences in immune cell distribution in different risk groups were compared. The chemical drugs associated with genes in the prognostic model were extracted from the Comparative Toxicogenomics Database.</p><p><strong>Results: </strong>A total of 31 DEPs were selected, and 3 different subtypes were obtained. A prognostic model based on 6 pyroptosis-related genes was constructed. The risk grouping was significantly correlated with the actual prognosis, and the model was found to be an independent prognostic factor. Six immune cells with significant differences in distribution in different risk groups were screened. CGP52608 could target four genes in the prognostic model, including GSDMB, NLRC4, IL1A, and IL6.</p><p><strong>Conclusion: </strong>The present study constructed a pyroptosis-related gene signature that could predict the prognosis of PTC. Additionally, this signature was correlated with tumor immunity.</p>","PeriodicalId":10881,"journal":{"name":"Current pharmaceutical biotechnology","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Establishing a Novel Pyroptosis-Related Gene Signature and Predicting Chemical Drugs for Papillary Thyroid Cancer.\",\"authors\":\"Ru Wang, Xin Chen, Dandan Yi, Chaoyu Jiang, Fazhan Xu, Jiabo Qin, YiHsuan Lee, Jianfeng Sang, Xianbiao Shi\",\"doi\":\"10.2174/0113892010325685241029113633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The present study aimed to construct a novel pyroptosis-related gene signature to predict the prognosis of papillary thyroid cancer (PTC).</p><p><strong>Methods: </strong>The gene expression level and survival and prognosis information of PTC were obtained from TCGA. The differentially expressed pyroptosis-related genes (DEPs) between cancer and control groups were selected, followed by subtype analysis. A prognostic model was built using LASSO regression analysis. The samples were then divided into high- and low-risk groups, and the differences in immune cell distribution in different risk groups were compared. The chemical drugs associated with genes in the prognostic model were extracted from the Comparative Toxicogenomics Database.</p><p><strong>Results: </strong>A total of 31 DEPs were selected, and 3 different subtypes were obtained. A prognostic model based on 6 pyroptosis-related genes was constructed. The risk grouping was significantly correlated with the actual prognosis, and the model was found to be an independent prognostic factor. Six immune cells with significant differences in distribution in different risk groups were screened. CGP52608 could target four genes in the prognostic model, including GSDMB, NLRC4, IL1A, and IL6.</p><p><strong>Conclusion: </strong>The present study constructed a pyroptosis-related gene signature that could predict the prognosis of PTC. Additionally, this signature was correlated with tumor immunity.</p>\",\"PeriodicalId\":10881,\"journal\":{\"name\":\"Current pharmaceutical biotechnology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current pharmaceutical biotechnology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2174/0113892010325685241029113633\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current pharmaceutical biotechnology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0113892010325685241029113633","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Establishing a Novel Pyroptosis-Related Gene Signature and Predicting Chemical Drugs for Papillary Thyroid Cancer.
Background: The present study aimed to construct a novel pyroptosis-related gene signature to predict the prognosis of papillary thyroid cancer (PTC).
Methods: The gene expression level and survival and prognosis information of PTC were obtained from TCGA. The differentially expressed pyroptosis-related genes (DEPs) between cancer and control groups were selected, followed by subtype analysis. A prognostic model was built using LASSO regression analysis. The samples were then divided into high- and low-risk groups, and the differences in immune cell distribution in different risk groups were compared. The chemical drugs associated with genes in the prognostic model were extracted from the Comparative Toxicogenomics Database.
Results: A total of 31 DEPs were selected, and 3 different subtypes were obtained. A prognostic model based on 6 pyroptosis-related genes was constructed. The risk grouping was significantly correlated with the actual prognosis, and the model was found to be an independent prognostic factor. Six immune cells with significant differences in distribution in different risk groups were screened. CGP52608 could target four genes in the prognostic model, including GSDMB, NLRC4, IL1A, and IL6.
Conclusion: The present study constructed a pyroptosis-related gene signature that could predict the prognosis of PTC. Additionally, this signature was correlated with tumor immunity.
期刊介绍：
Current Pharmaceutical Biotechnology aims to cover all the latest and outstanding developments in Pharmaceutical Biotechnology. Each issue of the journal includes timely in-depth reviews, original research articles and letters written by leaders in the field, covering a range of current topics in scientific areas of Pharmaceutical Biotechnology. Invited and unsolicited review articles are welcome. The journal encourages contributions describing research at the interface of drug discovery and pharmacological applications, involving in vitro investigations and pre-clinical or clinical studies. Scientific areas within the scope of the journal include pharmaceutical chemistry, biochemistry and genetics, molecular and cellular biology, and polymer and materials sciences as they relate to pharmaceutical science and biotechnology. In addition, the journal also considers comprehensive studies and research advances pertaining food chemistry with pharmaceutical implication. Areas of interest include:
DNA/protein engineering and processing
Synthetic biotechnology
Omics (genomics, proteomics, metabolomics and systems biology)
Therapeutic biotechnology (gene therapy, peptide inhibitors, enzymes)
Drug delivery and targeting
Nanobiotechnology
Molecular pharmaceutics and molecular pharmacology
Analytical biotechnology (biosensing, advanced technology for detection of bioanalytes)
Pharmacokinetics and pharmacodynamics
Applied Microbiology
Bioinformatics (computational biopharmaceutics and modeling)
Environmental biotechnology
Regenerative medicine (stem cells, tissue engineering and biomaterials)
Translational immunology (cell therapies, antibody engineering, xenotransplantation)
Industrial bioprocesses for drug production and development
Biosafety
Biotech ethics
Special Issues devoted to crucial topics, providing the latest comprehensive information on cutting-edge areas of research and technological advances, are welcome.
Current Pharmaceutical Biotechnology is an essential journal for academic, clinical, government and pharmaceutical scientists who wish to be kept informed and up-to-date with the latest and most important developments.
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