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Multi-omics technologies, including genomics, proteomics, metabolomics, and radiomics, support early diagnosis and treatment by clarifying molecular features and mechanisms. Their clinical translation is hindered by challenges such as data-related issues, “black box” concerns, and ethical/legal risks. This review consolidates applications and limitations of multi-omics methods to inform personalized precision treatment.",{"@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/applications-and-challenges-of-multi-omics-approaches-in-lung-cancer-research-and-precision-treatment/352689/",{"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/applications-and-challenges-of-multi-omics-approaches-in-lung-cancer-research-and-precision-treatment/352689.png","ImageObject",300,407,{"name":92,"@type":93},"Sophia Brooks","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},"What makes multi-omics approaches important in lung cancer research?","Question",{"text":112,"@type":113},"They integrate information from genomics, proteomics, metabolomics, and radiomics to reveal molecular characteristics and mechanisms, supporting early diagnosis and treatment decisions.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What challenges limit the clinical translation of multi-omics methods?",{"text":117,"@type":113},"Key obstacles include data issues, “black box” interpretability problems, and ethical and legal concerns.",{"name":119,"@type":110,"acceptedAnswer":120},"How does multi-omics help advance precision medicine for lung cancer?",{"text":121,"@type":113},"By capturing tumor-related molecular and regulatory patterns, multi-omics can enable more personalized treatment strategies and improve clinical effectiveness.","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},352689,1790194370,{"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":8,"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":41},962084925636,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","TYPE Review  \nPUBLISHED 23 March 2026  \nDOI 10.3389/fgene.2025.1722368  \nOPEN ACCESS  \nEDITED BY  \nQiang Tang,  \nZhejiang University, China  \nREVIEWED BY  \nYixing Wang,  \nCity of Hope National Medical Center, United States  \nJiani Zheng,  \nReproductive Medical Center, The First Affiliated Hospital of Xiamen University, China  \nLiyang Hu,  \nThe Fifth Affiliated Hospital of Sun Yat-sen University, China  \n*CORRESPONDENCE  \nBojiang Chen,  \n [Cjhcbj@gmail.com](Cjhcbj@gmail.com)[ ](Cjhcbj@gmail.com)Weimin Li,  \n [weimin003@scu.edu.cn](weimin003@scu.edu.cn)  \n‡These authors have contributed equally to this work and share first authorship  \nRECEIVED 10 October 2025  \nREVISED 19 December 2025  \nACCEPTED 29 December 2025  \nPUBLISHED 23 March 2026  \nCITATION  \nZhang S, Xu R, Zheng Q, Chen B and Li W (2026) Applications and challenges of multi-omics approaches in lung cancer research and precision treatment.  \nFront. Genet. 16:1722368 .  \ndoi: 10.3389/fgene.2025.1722368  \nCOPYRIGHT  \n© 2026 Zhang, Xu, Zheng, Chen and Li. This isan 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.  \nApplications and challenges of multi-omics approaches in lung cancer research and precision treatment  \nShouyu Zhang 􀀁 1,2,3,4,5‡, Renjie Xu 2,3,4,5‡, Qian Zheng 1,2,3,4,5, Bojiang Chen 1,2,3,4,5* and Weimin Li 1,2,3,4,5*  \n1Department of Pulmonary and Critical Care Medicine, West China Hospital, State Key Laboratory of Respiratory Health and Multimorbidity, Sichuan University, Chengdu, Sichuan, China, 2Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China, 3Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China, 4The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Chengdu, Sichuan, China, 5Institute of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China  \nLung cancer is one of the most common cancers worldwide and one of the leading causes of cancer death, with a heavy disease burden and severe public health challenges. Multi-omics techniques, such as genomics, proteomics, metabolomics, and radiomics, play a crucial role in the early diagnosis and treatment of lung cancer, revealing the molecular characteristics and mechanisms of lung cancer, and have significant clinical application value. However, it also faces numerous challenges, such as data issues, “black box”problems, and ethical and legal concerns. How to leverage strengths while mitigating weaknesses, achieve clinical translation of technology, and serve patients more effectively deserves our deep reflection. This article reviews the specific applications and challenges of multi-omics methods in lung cancer research and personalized treatment.  \nKEYWORDS  \napplications, challenges, lung cancer, multi-omics, precision medicine  \n1 Introduction  \nLung cancer is one of the most common cancers in the world and one of the main causes of cancer death. According to GLOBOCAN 2020 statistics (Sung et al., 2021; Li C. et al., 2023), there are about 2.2 million new cases of lung cancer worldwide every year, accounting for 11.4% of all new cancers. The number of deaths caused by lung cancer is about 1.8 million, accounting for 18% of all cancer deaths. Consequently, lung cancer carries a substantial disease load (Bray et al., 2024; Zhou et al., 2024), leading to highly critical public health issues. There’s an immediate need to hasten comprehen","cbCaibGkoVyqukP9","https://ap.wps.com/l/cbCaibGkoVyqukP9","pdf",3262351,12,"English","# Introduction\n## Multi-omics role in lung cancer\n# Applications in lung cancer research\n## Genomics and transcriptomics\n## Proteomics and metabolomics\n## Radiomics\n# Challenges for clinical translation\n## Data issues and technical limitations\n## “Black box” interpretability\n## Ethical and legal considerations\n# Personalized precision treatment perspectives","[{\"question\":\"What makes multi-omics approaches important in lung cancer research?\",\"answer\":\"They integrate information from genomics, proteomics, metabolomics, and radiomics to reveal molecular characteristics and mechanisms, supporting early diagnosis and treatment decisions.\"},{\"question\":\"What challenges limit the clinical translation of multi-omics methods?\",\"answer\":\"Key obstacles include data issues, “black box” interpretability problems, and ethical and legal concerns.\"},{\"question\":\"How does multi-omics help advance precision medicine for lung cancer?\",\"answer\":\"By capturing tumor-related molecular and regulatory patterns, multi-omics can enable more personalized treatment strategies and improve clinical effectiveness.\"}]","Applications and challenges of multi-omics approaches in lung cancer research and precision treatment | PDF",1790100903]