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This work integrates metabolomic profiling and transcriptome pathway analysis to define metabolic changes specific to ovarian cancer. Plasma from 51 patients with ovarian cancer and tissue from 44 cases, plus benign tumor controls, were examined using gas chromatography–mass spectrometry, followed by transcriptomic analysis in tumor tissues. High-metabolite tumors showed advanced stage and suppressed natural killer cell and immune-response pathways, with fewer NK-cell fractions, linking metabolite levels to immune activity and malignant progression.",{"@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/metabolomic-and-transcriptomic-analyses-identify-metabolic-alterations-and-immune-suppression-in-ovarian-cancer/344841/",{"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/metabolomic-and-transcriptomic-analyses-identify-metabolic-alterations-and-immune-suppression-in-ovarian-cancer/344841.png","ImageObject",300,407,{"name":92,"@type":93},"Olivia Brown","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-23","2026-09-22",true,{"@type":102,"interactionType":103,"userInteractionCount":8},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"How were metabolic alterations in ovarian cancer identified?","Question",{"text":112,"@type":113},"Plasma samples and tissue samples from ovarian cancer and benign ovarian tumors were analyzed using gas chromatography–mass spectrometry to detect metabolic alterations.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Why were patients divided into high and low metabolite groups?",{"text":117,"@type":113},"Plasma metabolite levels did not allow reliable patient classification, so the 44 ovarian cancer patients were grouped based on tissue metabolite levels into high and low groups.",{"name":119,"@type":110,"acceptedAnswer":120},"What immune-related findings were associated with high metabolite levels?",{"text":121,"@type":113},"The high-metabolite group showed suppression of natural killer (NK) cell and immune-response pathways, and NK-cell percentages were lower than in the low-metabolite group.","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},344841,1790147412,{"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":8,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":52,"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},16904993612988,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","[www. nature.com/scientificreports](www. nature.com/scientificreports)  \nOPEN  \nMetabolomic and transcriptomic analyses identify metabolic alterations and immune suppression in ovarian cancer  \nMaiko Yamaguchi1,2, Daiki Higuchi1,3, Hiroshi Yoshida4, Erisa Fujii1,5,  \nMayumi Kobayashi Kato1,5, Kengo Hiranuma1,2, Yuka Asami1,3, Hanako Ono6, Takafumi Koyama7, Masaaki Komatsu8,9, Ryuji Hamamoto8,9, Koji Matsumoto3, Akihiko Sekizawa3, YasuhisaTerao2, Atsuo Itakura2, Takashi Kohno1, Tomoyasu Kato5, Hideki Makinoshima10, Mitsuya Ishikawa5􀀍 & Kouya Shiraishi1,6􀀍  \nReprogramming of cellular metabolism is a hallmark of cancer, particularly ovarian cancer (OC), that contributes to rapid cancer growth and survival. However, studies using clinical specimens are limited. To identify metabolic alterations specific to OC, we performed metabolomic analysis of OC and benign ovarian tumors. The relationship between metabolomics and transcriptomics was investigated by transcriptome analysis. Fifty-one patients with OC and three with benign ovarian tumors, diagnosed between 2011 and 2014 using available frozen tissue and plasma specimens, were enrolled atthe National Cancer Center Hospital. To identify metabolic alterations, plasma samples from 51 patients with OC and three with benign tumors, along with both cancerous and non-cancerous tissue samples from 44 of the 51 patients with OC, were analyzed using gas chromatography-mass spectrometry. In addition, we performed transcriptomic analysis of cancerous tissues obtained from 39 of the 44 patients with OC. It was not possible to classify patients based on plasma metabolite levels; therefore, the 44 patients with OC were classified into two groups based on metabolite levels: high and low, based on tissue analysis. The group with high metabolite levels had more advanced-stage tumors (P = 0.02). Transcriptome pathway analysis revealed suppression of pathways related to natural killer (NK) cells and immune responses in the group with high metabolite levels. NK cell percentages were lower in the group with high metabolite levels than in the group with low metabolite levels (P = 0.04) . Thus, the group with high metabolite levels was associated with advanced stages and a reduced fraction of NK cells, suggesting that high metabolite levels may play a direct or indirect role in immune activity or in the malignant progression of OC.  \nKeywords Immune suppression, Metabolomic analysis, Metabolic alteration, Ovarian cancer, Transcriptomic analysis  \nOvarian cancer (OC) is the fifth leading cause of cancer-related death among women globally, and the second deadliest gynecological malignancy1,2. Unfortunately, mortality rates are high; the 5-year relative survival rate is only 30–40%3. This high rate is due to the fact that the majority of OC patients are diagnosed at an advanced  \n1Division of Genome Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan. 2Department of Obstetrics and Gynecology, Faculty of Medicine, Juntendo University, Tokyo 113-8421, Japan. 3Department of Obstetricsand Gynecology, Showa Medical University, Tokyo 142-8666, Japan. 4Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo 104-0045, Japan. 5Department of Gynecology, National Cancer Center Hospital, Tsukiji 5-1-1, Chuo-ku, Tokyo 104-0045, Japan. 6Department of Clinical Genomics, National Cancer Center Research Institute, Tokyo 1004-0045, Japan. 7Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo 104-0045, Japan. 8Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo 104-0045, Japan. 9Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan. 10Tsuruoka Metabolomics Laboratory, National Cancer Center Tsuruoka, Yamagata 997-0052, Japan. 􀀍 [email: miishika@ncc.go.jp](email: miishika@ncc.go.jp); [kshirais@ncc.go.jp](kshirais@ncc.go.jp)  \n[www. nature.c","cbCaih68uyz8Q2zJ","https://ap.wps.com/l/cbCaih68uyz8Q2zJ","pdf",2673947,"English","# Methods\n## Metabolomic analysis\n## Transcriptomic analysis\n# Results\n## Classification by tissue metabolite levels\n## Pathway suppression and NK-cell reduction\n# Background and significance\n## Metabolic reprogramming in ovarian cancer","[{\"question\":\"How were metabolic alterations in ovarian cancer identified?\",\"answer\":\"Plasma samples and tissue samples from ovarian cancer and benign ovarian tumors were analyzed using gas chromatography–mass spectrometry to detect metabolic alterations.\"},{\"question\":\"Why were patients divided into high and low metabolite groups?\",\"answer\":\"Plasma metabolite levels did not allow reliable patient classification, so the 44 ovarian cancer patients were grouped based on tissue metabolite levels into high and low groups.\"},{\"question\":\"What immune-related findings were associated with high metabolite levels?\",\"answer\":\"The high-metabolite group showed suppression of natural killer (NK) cell and immune-response pathways, and NK-cell percentages were lower than in the low-metabolite group.\"}]","Metabolomic and transcriptomic analyses identify metabolic alterations and immune suppression in ovarian cancer | PDF",1790055436,25]