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This work profiles the exometabolome of HPV 16-positive SiHa and Ca Ski cell lines and an HPV 16-negative control (C-33A). Exometabolic measurements are validated by transcriptomic molecular signatures, followed by 1H-NMR and multivariate/univariate statistics. The analysis leverages GEO GSE9750 to identify distinct metabolic gene and pathway shifts, supporting non-invasive diagnostic and prognostic biomarkers and therapeutic targets.",{"@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":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/exometabolome-and-molecular-signatures-associated-with-hpv-16-in-cervical-cancer-integrative-metabolomic-and-transcriptomic-analysis-for-biomarker-discovery/372748/",{"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/exometabolome-and-molecular-signatures-associated-with-hpv-16-in-cervical-cancer-integrative-metabolomic-and-transcriptomic-analysis-for-biomarker-discovery/372748.png","ImageObject",300,407,{"name":92,"@type":93},"Blitz","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-26","2026-09-23",true,{"@type":102,"interactionType":103,"userInteractionCount":29},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What biological material and cell models were analyzed?","Question",{"text":112,"@type":113},"The study evaluated the exometabolome of HPV 16-positive SiHa and Ca Ski cell lines and compared them with the HPV 16-negative control cell line C-33A.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were molecular signatures validated in the analysis?",{"text":117,"@type":113},"Exometabolome results were validated using molecular signatures derived from a transcriptomic approach, focusing on genes encoding cellular metabolic enzymes.",{"name":119,"@type":110,"acceptedAnswer":120},"Which experimental and analytical methods supported biomarker discovery?",{"text":121,"@type":113},"Metabolomic profiling used 1H nuclear magnetic resonance spectroscopy (1H-NMR), and differences between cell lines were assessed with both multivariate and univariate statistical analyses, complemented by transcriptomic analysis from GEO dataset GSE9750.","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},372748,1790931419,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":29,"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":145},24464137899374,"https://us-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","Article  \nExometabolome and Molecular Signatures Associated with HPV 16 in Cervical Cancer: Integrative Metabolomic and Transcriptomic Analysis for Biomarker Discovery  \nAdán Arizmendi-Izazaga 1, Napoleón Navarro-Tito 2, Gabriela Elizabeth Campos-Viguri 3, Hilda Jiménez-Wences 1,4,5, Macdiel Emilio Acevedo-Quiroz 6, Eric Genaro Salmerón-Bárcenas 7, Berenice Illades-Aguiar 8, Marco Antonio Leyva-Vázquez 8 and Julio Ortiz-Ortiz 1, *  \nAcademic Editor: Qian Chen  \nReceived: 24 July 2025  \nRevised: 10 September 2025  \nAccepted: 22 September 2025  \nPublished: 28 September 2025  \nCitation: Arizmendi-Izazaga, A.; Navarro-Tito, N.; Campos-Viguri, G.E.; Jiménez-Wences, H.; Acevedo-Quiroz, M.E.; Salmerón-Bárcenas, E.G.; Illades-Aguiar, B.; Leyva-Vázquez, M.A.; Ortiz-Ortiz, J. Exometabolome and Molecular Signatures Associated with HPV 16 in Cervical Cancer:  \nIntegrative Metabolomic and Transcriptomic Analysis for Biomarker Discovery. Molecules 2025, 30, 3909 . [https://doi.org/10.3390/](https://doi.org/10.3390/)[ ](https://doi.org/10.3390/)molecules30193909  \nCopyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ([https://creativecommons.org/](https://creativecommons.org/)[ ](https://creativecommons.org/)[licenses/by/4.0/](licenses/by/4.0/)) .  \n1 Laboratorio de Investigación en Metabolismo y Cáncer, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Av. Lázaro Cárdenas S/N, Ciudad Universitaria, Colonia La Haciendita, Chilpancingo 39090, Guerrero, Mexico; [adanarizmendi@uagro.mx](adanarizmendi@uagro.mx) (A.A.-I.);  \n[wences2009@hotmail.com](wences2009@hotmail.com) (H.J.-W.)  \n2 Laboratorio de Biología Celular del Cáncer, Facultad de Ciencias Químico Biológicas, Universidad Autónomade Guerrero, Av. Lázaro Cárdenas S/N, Ciudad Universitaria, Colonia La Haciendita, Chilpancingo 39090, Guerrero, Mexico; [nnavarro@uagro.mx](nnavarro@uagro.mx)  \n3 Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada Unidad Morelos, Instituto Politécnico Nacional, Boulevard de la Tecnología, 1036 Z-1, P 2/2, Atlacholoaya 62790, Morelos, Mexico; [gabyirugiv@gmail.com](gabyirugiv@gmail.com)  \n4 Laboratorio de Investigación en Biomoléculas, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Av. Lázaro Cárdenas S/N, Ciudad Universitaria, Colonia La Haciendita, Chilpancingo 39090, Guerrero, Mexico  \n5 Laboratorio de Investigación en Enfermedades Infecciosas y Cáncer, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Av. Lázaro Cárdenas S/N, Ciudad Universitaria, Colonia La Haciendita, Chilpancingo 39090, Guerrero, Mexico  \n6 Department of Chemical and Biochemical Engineering, National Technological Institute of Mexico, Technological/IT Institute of Zacatepec, Zacatepec 62780, Morelos, Mexico; [macdiel.aq@zacatepec.tecnm.mx](macdiel.aq@zacatepec.tecnm.mx)  \n7 Departamento de Biomedicina Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México 07360, Mexico; [eric.salmeron@cinvestav.mx](eric.salmeron@cinvestav.mx)  \n8 Laboratorio de Biomedicina Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Av. Lázaro Cárdenas S/N, Ciudad Universitaria, Colonia La Haciendita, Chilpancingo 39090, Guerrero, Mexico; [b.illadesaguiar@gmail.com](b.illadesaguiar@gmail.com) (B.I.-A.); [leyvamarco13@gmail.com](leyvamarco13@gmail.com) (M.A.L.-V.)  \n* [Correspondence: julioortiz@uagro.mx](Correspondence: julioortiz@uagro.mx); Tel.: +52-747-471-0901  \nAbstract  \nCervical cancer (CC) represents a major public health concern, ranking as the fourth most frequently diagnosed cancer and one of the leading causes of cancer-related mortality among middle-aged women worldwide. CC is caused by persistent infection with high-risk human papillomaviruses (HR-HPVs), with HPV 16 being","cbCaigAVneA5ssiZ","https://ap.wps.com/l/cbCaigAVneA5ssiZ","pdf",5180034,22,"English","# Introduction\n## Exometabolomic profiling approach\n## Transcriptomic molecular signatures\n## Statistical comparison of cell lines\n## GSE9750-based molecular signature analysis","[{\"question\":\"What biological material and cell models were analyzed?\",\"answer\":\"The study evaluated the exometabolome of HPV 16-positive SiHa and Ca Ski cell lines and compared them with the HPV 16-negative control cell line C-33A.\"},{\"question\":\"How were molecular signatures validated in the analysis?\",\"answer\":\"Exometabolome results were validated using molecular signatures derived from a transcriptomic approach, focusing on genes encoding cellular metabolic enzymes.\"},{\"question\":\"Which experimental and analytical methods supported biomarker discovery?\",\"answer\":\"Metabolomic profiling used 1H nuclear magnetic resonance spectroscopy (1H-NMR), and differences between cell lines were assessed with both multivariate and univariate statistical analyses, complemented by transcriptomic analysis from GEO dataset GSE9750.\"}]","Exometabolome and Molecular Signatures Associated with HPV 16 in Cervical Cancer - Integrative Metabolomic and Transcriptomic Analysis for Biomarker Discovery | PDF",1790195278,55]