[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-332762-105":59,"doc-detail-332762-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","construction-of-molecular-subtype-and-prognostic-model-for-gastric-cancer-based-on-nucleus-encoded-mitochondrial-genes","Construction of molecular subtype and prognostic model for gastric cancer based on nucleus-encoded mitochondrial genes","","Gastric cancer has high mortality, and nucleus-encoded mitochondrial gene (NMG) mutations are implicated in its initiation and progression, yet their link to patient survival remains unclear. Using NMG expression and clinical data from TCGA and GEO, the study identifies NMG clusters and prognostic genes, builds a PCA-based scoring system, and integrates scRNA-seq and drug-sensitivity data from GEO and GDSC. High NMG scores associate with higher TMB, MSI, better survival, stronger immunotherapy responsiveness, increased chemotherapy sensitivity, and cuproptosis-related gene enrichment, supporting a biomarker for predicting therapeutic response.",{"@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/construction-of-molecular-subtype-and-prognostic-model-for-gastric-cancer-based-on-nucleus-encoded-mitochondrial-genes/332762/",{"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/construction-of-molecular-subtype-and-prognostic-model-for-gastric-cancer-based-on-nucleus-encoded-mitochondrial-genes/332762.png","ImageObject",300,407,{"name":92,"@type":93},"Quinn","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-27","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":39},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What data and databases were used to build the NMG-based model?","Question",{"text":112,"@type":113},"The analysis used NMG expression profiles and clinical information from TCGA and GEO, scRNA-seq and cancer cell drug sensitivity data from GEO, and drug sensitivity information from GDSC.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was the prognostic score for gastric cancer patients constructed?",{"text":117,"@type":113},"Prognostic genes were selected with Univariate Cox regression, and principal component analysis (PCA) was used to establish a scoring system reflecting NMG patterns.",{"name":119,"@type":110,"acceptedAnswer":120},"What clinical and biological features are associated with high NMG scores?",{"text":121,"@type":113},"High NMG scores correlate with higher microsatellite instability, higher tumor mutation rates, improved survival, increased immunotherapy responsiveness, and enriched cuproptosis-related genes.","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},332762,1791008598,{"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":39,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":56,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},962075114765,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","[www. nature.com/scientificreports](www. nature.com/scientificreports)  \nOPEN  \nConstruction of molecular subtype and prognostic model for gastric cancer based on nucleus-encoded mitochondrial genes  \nXu Wang1,4, Sainan Li3,4, Yuhuan Shen3,4, Li Cao1, Yajuan Lu3, Jinghao Cao3, Yingchao Liu3, Aoli Deng3, Jiyun Yang1􀀍 & Tongtong Wang2􀀍  \nGastric cancer (GC) is a common digestive system cancer, characterized by a significant mortality rate. Mitochondria is an indispensable organelle in eukaryotic cells. It was previously revealed that a series of nucleus-encoded mitochondrial genes (NMG) mutations and dysfunctions potentially contribute to the initiation and progression of GC. However, the correlation between NMG mutations and survival outcomes for GC patients is still unclear. In this study, NMG expression profile and clinical information in GC samples were collected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Through consistent clustering and functional enrichment analysis, we have identified three NMG clusters and three gene clusters that are associated with patterns of immune cell infiltration. Prognostic genes were identified through Univariate Cox regression analysis. The principal component analysis was conducted to set up a scoring system. Subsequently, the Single‑cell RNA sequencing (scRNA‑seq) data of GC patients and cancer cell drug sensitivity data were retrieved from the GEO database. Patients with high NMG scores exhibited increased microsatellite instability status and a heightened tumor mutation rate compared to those with low NMG scores. Survival analysis revealed that GC samples with high NMG scores could achieve a better prognosis. Additionally, These patients were observed to be more responsive to immunotherapy. Moreover, we delved into prognostic genes at the level of single cells, revealing that MRPL4 and MRPL37 exhibit high expression in epithelial cells, while TPM1 demonstrates high expression in tissue stem cells. Utilizing cancer cell drug sensitivity data from the Drug Sensitivity in Cancer (GDSC) database, we noted a heightened sensitivity to chemotherapy in the high NMG group. Furthermore, we discovered a significant enrichment of cuproptosis‑related genes in clusters with high NMG scores. Consequently, employing the scoring system could facilitate the prediction of GC patients’ sensitivity to cuproptosis-induced therapy. Our study confirmed the potency of this scoring system as a therapeutic response biomarker for gastric cancer, potentially informing clinical treatment strategies.  \nKeywords Gastric cancer, Nucleus-encoded mitochondrial genes, Tumor microenvironment, Tumor mutational burden, Immunotherapy  \nMitochondria is an indispensable organelle during the metabolic activities of eukaryotic cells. Most cellular energy is generated in the inner mitochondrial membrane via oxidative phosphorylation (OXPHOS) . Besides this, mitochondria are involved in many critical biological processes such as heat production, programmed cell death regulation, and cellular differentiation1,2. Its biological behavior has an inseparable relationship with many degenerative diseases, aging, and cancer3,4. The proper functioning of this energy factory relies on mitochondrial proteome homeostasis and integrity. The mitochondrial proteome is co-encoded by nuclear and mitochondrial genes5,6. Mutations in mitochondrial proteome-coding genes result in mitochondrial dysfunction and impaired energy production.  \n1Sichuan Provincial Key Laboratory for Human Disease Gene Study, Center of Medical Genetics, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.  \n2Department of Intensive Care Unit, Shaanxi Provincial Hospital of Traditional Chinese Medicine, Xian, China.  \n3Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medic","cbCaikFdvSfdP3TX","https://ap.wps.com/l/cbCaikFdvSfdP3TX","pdf",5100920,"English","# Background and rationale\n# Data sources and clustering\n## Functional enrichment and immune infiltration\n# Prognostic gene identification and scoring system\n## Univariate Cox regression\n## PCA-based score\n# Single-cell and drug-sensitivity integration\n## scRNA-seq prognostic insights\n## GDSC chemotherapy sensitivity\n# Cuproptosis-related findings\n# Clinical implications","[{\"question\":\"What data and databases were used to build the NMG-based model?\",\"answer\":\"The analysis used NMG expression profiles and clinical information from TCGA and GEO, scRNA-seq and cancer cell drug sensitivity data from GEO, and drug sensitivity information from GDSC.\"},{\"question\":\"How was the prognostic score for gastric cancer patients constructed?\",\"answer\":\"Prognostic genes were selected with Univariate Cox regression, and principal component analysis (PCA) was used to establish a scoring system reflecting NMG patterns.\"},{\"question\":\"What clinical and biological features are associated with high NMG scores?\",\"answer\":\"High NMG scores correlate with higher microsatellite instability, higher tumor mutation rates, improved survival, increased immunotherapy responsiveness, and enriched cuproptosis-related genes.\"}]","Construction of molecular subtype and prognostic model for gastric cancer based on nucleus-encoded mitochondrial genes | PDF",1789999419,48]