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Using LASSO and Cox regression, the work builds nomograms and assesses model significance via internal testing and external validation. Risk scores are further associated with immune-related infiltration patterns, oncogene expression, and enriched KEGG and biological pathways, highlighting CHRNA5’s role in LUAD progression.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/identifying-and-assessing-a-prognostic-model-based-on-disulfidptosis-related-genes-implications-for-immune-microenvironment-and-tumor-biology-in-lung-adenocarcinoma/342889/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/identifying-and-assessing-a-prognostic-model-based-on-disulfidptosis-related-genes-implications-for-immune-microenvironment-and-tumor-biology-in-lung-adenocarcinoma/342889.png","ImageObject",300,407,{"name":42,"@type":43},"Violet","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-09-23","2026-09-22",true,{"@type":52,"interactionType":53,"userInteractionCount":22},"InteractionCounter",{"@type":54},"ViewAction",{"@type":56,"mainEntity":57},"FAQPage",[58,64,68],{"name":59,"@type":60,"acceptedAnswer":61},"What data and statistical methods were used to build the prognostic model?","Question",{"text":62,"@type":63},"Disulfidptosis-related genes were obtained from CRISPR–Cas9 screening results, and a prognostic model was developed using LUAD datasets from TCGA and GEO. LASSO regression and Cox regression were used to construct the model, followed by nomograms and additional analyses.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"How was the model validated and tested for clinical applicability?",{"text":67,"@type":63},"The model’s performance was validated with an internal testing set and an external validation set. Robustness and clinical applicability were evaluated using a nomogram.",{"name":69,"@type":60,"acceptedAnswer":70},"What biological functions and pathways were linked to the risk score?",{"text":71,"@type":63},"Correlation analyses connected the risk score with immune-related infiltration, cancer-type infiltration patterns, and oncogene expression. Enrichment analysis also associated the risk score with key biological processes and KEGG pathways, and CHRNA5 was implicated in LUAD cell proliferation, migration, and disulfidptosis.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},342889,1790193586,{"code":4,"msg":81,"data":82},"success",[83,87,91,95,100,105,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":84,"show_sort_weight":85,"slug":86},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":88,"show_sort_weight":89,"slug":90},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":92,"show_sort_weight":93,"slug":94},"Exam",70,"exam",{"id":96,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},5,"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":96,"slug":129},19,"General","general",{"code":4,"msg":81,"data":131},{"doc_id":78,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":22,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":144,"read_time":145},4398048950312,"https://ap-avatar.wpscdn.com/avatar/400002538284de19e3c?_k=1778320343897328908","TYPE Original Research PUBLISHED 22 May 2024  \nDOI 10.3389/fimmu.2024.1371831  \nOPEN ACCESS  \nEDITED BY  \nLaura Senovilla,  \nSpanish National Research Council (CSIC), Spain  \nREVIEWED BY  \nManik Kuvalekar,  \nBaylor College of Medicine, United States Zhirui Zeng,  \nGuizhou Medical University, China  \n*CORRESPONDENCE Jianxiang Li  \n [aljxcr@suda.edu.cn](aljxcr@suda.edu.cn)  \nRECEIVED 17 January 2024  \nACCEPTED 02 May 2024  \nPUBLISHED 22 May 2024  \nCITATION  \nWang J, Liu K, Li J, Zhang H, Gong X, Song X, Wei M, Hu Y and Li J (2024) Identifying and assessing a prognostic model based on disulfidptosis-related genes: implications for immune microenvironment and tumor biology in lung adenocarcinoma.  \nFront. Immunol. 15:1371831 .  \ndoi: 10.3389/fimmu.2024.1371831  \nCOPYRIGHT  \n© 2024 Wang, Liu, Li, Zhang, Gong, Song, Wei, Hu and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.  \nIdentifying and assessing a prognostic model based on disulfidptosis-related genes:  \nimplications for immune microenvironment and tumor biology in lung adenocarcinoma  \nJin Wang, Kaifan Liu, Jiawen Li, Hailong Zhang, Xian Gong, Xiangrong Song, Meidan Wei, Yaoyu Hu and Jianxiang Li*  \nSchool of Public Health, Suzhou Medical College of Soochow University, Jiangsu, Suzhou, China  \nIntroduction: Lung cancer, with the highest global mortality rate among cancers, presents a grim prognosis, often diagnosed at an advanced stage in nearly 70% of cases. Recent research has unveiled a novel mechanism of cell death termed disulfidptosis, which is facilitated by glucose scarcity and the protein SLC7A11 .  \nMethods: Utilizing the least absolute shrinkage and selection operator (LASSO) regression analysis combined with Cox regression analysis, we constructed a prognostic model focusing on disulfidptosis-related genes . Nomograms, correlation analyses, and enrichment analyses were employed to assess the significance of this model. Among the genes incorporated into the model, CHRNA5 was selected for further investigation regarding its role in LUAD cells. Biological functions of CHRNA5 were assessed using EdU, transwell, and CCK- 8 assays.  \nResults: The efficacy of the model was validated through internal testing and an external validation set, with further evaluation of its robustness and clinical applicability using a nomogram. Subsequent correlation analyses revealed associations between the risk score and infiltration of various cancer types, as well as oncogene expression. Enrichment analysis also identified associations between the risk score and pivotal biological processes and KEGG pathways. Our findings underscore the significant impact of CHRNA5 on LUAD cell proliferation, migration, and disulfidptosis.  \nConclusion: This study successfully developed and validated a robust prognostic model centered on disulfidptosis-related genes, providing a foundation for predicting prognosis in LUAD patients.  \nKEYWORDS  \ndisulfidptosis, LASSO, prognostic model, lung cancer, immune infiltration  \nFrontiers in Immunology 01 [frontiersin.org](frontiersin.org)  \n1 Introduction  \nLung cancer remains the leading cause of cancer-related death worldwide, and its mortality accounts for approximately 18% of all types of cancer (1) . Non–small cell lung cancer (NSCLC) is the most common lung cancer subtype, and it comprises two major histological types: lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD) . In addition to conventional therapies such as surgery, chemotherapy and radiotherapy, targeted therapy and immunotherapy for lung cancer have also developed rapidly in recent years. Howev","cbCaiiRUjZeX3mMa","https://ap.wps.com/l/cbCaiiRUjZeX3mMa","pdf",8154902,15,"English","# Introduction\n## Cell death and disulfidptosis background\n# Methods\n## LASSO and Cox regression model construction\n## Nomograms, correlation, and enrichment analyses\n## CHRNA5 functional assays\n# Results\n## Model validation and robustness assessment\n## Risk score associations and enrichment findings\n## CHRNA5 effects on LUAD cells\n# Conclusion","[{\"question\":\"What data and statistical methods were used to build the prognostic model?\",\"answer\":\"Disulfidptosis-related genes were obtained from CRISPR–Cas9 screening results, and a prognostic model was developed using LUAD datasets from TCGA and GEO. LASSO regression and Cox regression were used to construct the model, followed by nomograms and additional analyses.\"},{\"question\":\"How was the model validated and tested for clinical applicability?\",\"answer\":\"The model’s performance was validated with an internal testing set and an external validation set. Robustness and clinical applicability were evaluated using a nomogram.\"},{\"question\":\"What biological functions and pathways were linked to the risk score?\",\"answer\":\"Correlation analyses connected the risk score with immune-related infiltration, cancer-type infiltration patterns, and oncogene expression. Enrichment analysis also associated the risk score with key biological processes and KEGG pathways, and CHRNA5 was implicated in LUAD cell proliferation, migration, and disulfidptosis.\"}]","Identifying and assessing a prognostic model based on disulfidptosis-related genes: implications for immune microenvironment and tumor biology in lung adenocarcinoma | PDF",1790048649,38]