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Immunogenic cell death (ICD) shapes cell death through adaptive immune activation. This study characterizes ICD-associated genes in ovarian cancer to evaluate their prognostic value and their relationship to immunotherapy response. Using TCGA datasets, weighted gene coexpression network analysis screened hub genes linked to ICD, validated with GEO ovarian samples. A nine-molecule prognostic risk model was built with univariate, multivariate Cox and LASSO regression and showed predictive accuracy in both training and validation sets. Patients were stratified by median risk score, revealing higher immune cell infiltration in the high-risk group and greater chemotherapy susceptibility in the low-risk group. The resulting validated ICD-molecule model estimates survival, immune infiltration, and chemotherapy responsiveness in ovarian cancer.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/a-comprehensive-analysis-exploring-the-impact-of-an-immunogenic-cell-death-related-panel-for-ovarian-cancer/331764/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/a-comprehensive-analysis-exploring-the-impact-of-an-immunogenic-cell-death-related-panel-for-ovarian-cancer/331764.png","ImageObject",300,407,{"name":92,"@type":93},"Ophelia","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-02","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What was the study’s main goal regarding immunogenic cell death (ICD) in ovarian cancer?","Question",{"text":112,"@type":113},"To comprehensively characterize ICD-associated genes in ovarian cancer and determine their prognostic value and potential role in immunotherapy response.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were ICD-related hub genes identified and validated?",{"text":117,"@type":113},"Hub genes strongly correlated with ICD genes were screened using weighted gene coexpression network analysis on TCGA datasets, then validated using ovarian cancer samples from the GEO database.",{"name":119,"@type":110,"acceptedAnswer":120},"What differences were observed between high-risk and low-risk ovarian cancer subgroups?",{"text":121,"@type":113},"The high-risk subtype showed higher immune cell infiltration in the tumor microenvironment, while the low-risk subtype was more susceptible to chemotherapy.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},331764,1790180498,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":36,"preview_page_count":4},7971461741311,"https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826","Molecular Biotechnology (2025) 67:2520–2535  \n[https://doi.org/10.1007/s12033-024-01215-5](https://doi.org/10.1007/s12033-024-01215-5)  \nA Comprehensive Analysis Exploring the Impact of an Immunogenic Cell Death‑Related Panel for Ovarian Cancer  \nRui Chen1,2 · Jie Ren1,2 · Yifei Wang1,2 · Xing Zhang1,2,3 · Yifan Jia2,4 · Chang Liu1,2 · Kai Qu1,2  \nReceived: 14 November 2023 / Accepted: 2 June 2024 / Published online: 7 August 2024 © The Author(s) 2024  \nAbstract  \nOvarian cancer (OV) is a malignant tumor that ranks first among gynecological cancers, thus posing a significant threat to women's health. Immunogenic cell death (ICD) can regulate cell death by activating the adaptive immune system. Here, we aimed to comprehensively characterize the features of ICD-associated genes in ovarian cancer, and to investigate their prognostic value and role in the response to immunotherapy. After analyzing datasets from The Cancer Genome Atlas, we utilized weighted gene coexpression network analysis to screen for hub genes strongly correlated with ICD genes in OV, which was subsequently validated with OV samples from the Gene Expression Omnibus (GEO) database. A prognostic risk model was then constructed after combining univariate, multivariate Cox regression and LASSO regression analysis to recognize nine ICD-associated molecules. Next, we stratified all OV patients into two subgroups according to the median value. The multivariate Cox regression analysis showed that the risk model could predict OV patient survival with good accuracy. The same results were also found in the validation set from GEO. We then compared the degree of immune cell infiltration in the tumor microenvironment between the two subgroups of OV patients, and revealed that the high-risk subtype had a higher degree of immune infiltration than the low-risk subtype. Additionally, in contrast to patients in the high-risk subgroup, those in the low-risk subgroup were more susceptible to chemotherapy. In conclusion, our research offers an independent and validated model concerning ICD-related molecules to estimate the prognosis, degree of immune infiltration, and chemotherapy susceptibility in patients with OV.  \nKeywords Ovarian cancer · ICD genes · Prognostic risk model · Immunotherapy · Chemotherapy sensitivity  \nAbbreviations  \nOV Ovarian cancer  \nICD Immunogenic cell death  \n* Yifan Jia [jiayifanivan@foxmail.com](jiayifanivan@foxmail.com)  \n* Chang Liu [liuchangfh@xjtu.edu.cn](liuchangfh@xjtu.edu.cn)  \n* Kai Qu [joanne8601@163.com](joanne8601@163.com)  \n1 Department of Hepatobiliary Surgery and Liver Transplantation, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China  \n2 Key Laboratory of Surgical Critical Care and Life Support (Xi’an Jiaotong University), Ministry of Education, Xi’an, China  \n3 Hangzhou Institute of National Extremely-Weak Magnetic Field Infrastructure, Hangzhou 310028, China  \n4 Department of Vascular Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, Shaanxi, China  \nTCGA  \nGEO  \nWGCNA  \nGO  \nKEGG  \nHR  \nCRT  \nHMGB1  \nOS  \nSNV  \nCNV  \nME  \nCI  \nThe Cancer Genome Atlas Gene Expression Omnibus  \nWeighted gene co-expression network analysis Gene ontology  \nKyoto encyclopedia of genes and genomes Hazard ratio  \nCalreticulin  \nHigh mobility group protein Overall survival  \nSingle nucleotide variants Copy number variation Module eigengenes Confidence interval  \nIntroduction  \nOvarian cancer, an aggressive disease among gynecological cancers, comprises approximately 90%-95% of primary tumors of the ovary, with the remaining 5%-10%  \narising as metastases from primary cancers elsewhere [1] . According to the latest cancer statistics for 2024, 19,680 new OV cases and 12,740 OV deaths are expected to occur in the United States [2] . However, the initial symptoms of ovarian cancer show no distinctive clinical features [3], and the screening role of medical institutions for patients with this type of cancer i","cbCaisivvqz1G2sL","https://ap.wps.com/l/cbCaisivvqz1G2sL","pdf",4811923,16,"English","# Introduction\n## Background and clinical need in ovarian cancer\n## Immunogenic cell death mechanisms and relevance to therapy\n# Abstract\n## Study objective and dataset sources\n## Hub gene identification and validation\n## Prognostic model construction and subgroup findings\n## Immune infiltration and chemotherapy sensitivity results\n# Keywords and Abbreviations\n## Key terms and commonly used abbreviations","[{\"question\":\"What was the study’s main goal regarding immunogenic cell death (ICD) in ovarian cancer?\",\"answer\":\"To comprehensively characterize ICD-associated genes in ovarian cancer and determine their prognostic value and potential role in immunotherapy response.\"},{\"question\":\"How were ICD-related hub genes identified and validated?\",\"answer\":\"Hub genes strongly correlated with ICD genes were screened using weighted gene coexpression network analysis on TCGA datasets, then validated using ovarian cancer samples from the GEO database.\"},{\"question\":\"What differences were observed between high-risk and low-risk ovarian cancer subgroups?\",\"answer\":\"The high-risk subtype showed higher immune cell infiltration in the tumor microenvironment, while the low-risk subtype was more susceptible to chemotherapy.\"}]","A Comprehensive Analysis Exploring the Impact of an Immunogenic Cell Death-Related Panel for Ovarian Cancer | PDF",1789995018]