[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-333201-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-333201-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","a-multi-dimensional-approach-to-unravel-the-intricacies-of-lactylation-related-signature-for-prognostic-and-therapeutic-insight-in-colorectal-cancer","A multi-dimensional approach to unravel the intricacies of lactylation related signature for prognostic and therapeutic insight in colorectal cancer","","Lactylation, a novel post-translational protein modification, shows dysregulation across tumors, yet its specific roles in colorectal carcinoma—especially non-histone lactylation—and its connections with metabolism and immune evasion remain unclear. The study used immunohistochemistry on tissue microarrays with clinical data and immunofluorescence on colorectal cell lines, then integrated AUCell, single-cell correlation analysis, and TCGA Cox/LASSO modeling, validated in GEO. A 23-gene lactylation-related signature was derived to predict colorectal cancer prognosis and linked to clinical traits, mutation patterns, functions, immune infiltration, immunotherapy response, and drug sensitivity.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/a-multi-dimensional-approach-to-unravel-the-intricacies-of-lactylation-related-signature-for-prognostic-and-therapeutic-insight-in-colorectal-cancer/333201/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/a-multi-dimensional-approach-to-unravel-the-intricacies-of-lactylation-related-signature-for-prognostic-and-therapeutic-insight-in-colorectal-cancer/333201.png","ImageObject",300,407,{"name":42,"@type":43},"Anda","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-26","2026-09-21",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",6,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What biological process is the study focused on, and why is it relevant to colorectal cancer?","Question",{"text":63,"@type":64},"The study focuses on lactylation, a post-translational protein modification. It is relevant because lactylation is dysregulated in tumors, but its mechanisms in colorectal cancer—particularly non-histone lactylation—and its links to metabolism and immune evasion were unclear.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How did the researchers identify the lactylation-related prognostic signature?",{"text":68,"@type":64},"They measured global lactylation using immunohistochemistry on tissue microarrays and immunofluorescence in colorectal cell lines. They then used AUCell with single-cell RNA-seq correlation analyses and Cox/LASSO regression on TCGA, with validation in GEO, to identify a 23-gene signature.",{"name":70,"@type":61,"acceptedAnswer":71},"What major clinical and functional associations did the 23-gene risk model reveal?",{"text":72,"@type":64},"The model associated lactylation-related risk with clinical characteristics, mutation landscapes, biological functions, immune cell infiltration, immune checkpoint expression, immunotherapy responses, and drug sensitivity across risk groups.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},333201,1790198845,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,105,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":144,"read_time":145,"preview_page_count":4},962075006959,"https://ap-avatar.wpscdn.com/avatar/e0002397efbe92a78e?_k=1776741047341049297","Huang et al. Journal of Translational Medicine (2024) 22:211  \n[https://doi.org/10.1186/s12967-024-04955-9](https://doi.org/10.1186/s12967-024-04955-9)  \nJournal of Translational Medicine  \n RESEARCH Open Access  \nA multi-dimensional approach to unravel   the intricacies of lactylation related signature for prognostic and therapeutic insight in colorectal cancer  \nHuixia Huang1,2,3,4†, Keji Chen1,2,3,4†, Yifei Zhu1,2,3,4†, Zijuan Hu1,2,3,4, Yaxian Wang5,6, Jiayu Chen5,6, Yuxue Li5,6, Dawei Li5,6* and Ping Wei1,2,3,4*  \nAbstract  \nBackground Lactylation, a novel contributor to post-translational protein modifications, exhibits dysregulation across various tumors. Nevertheless, its intricate involvement in colorectal carcinoma, particularly for non-histone lactylation and its intersection with metabolism and immune evasion, remains enigmatic.  \nMethods Employing immunohistochemistry on tissue microarray with clinical information and immunofluorescence on colorectal cell lines, we investigated the presence of global lactylation and its association with development and progression in colorectal cancer as well as its functional location. Leveraging the AUCell algorithm alongside correlation analysis in single-cell RNA sequencing data, as well as cox-regression and lasso-regression analysis in TCGA dataset and confirmed in GEO dataset, we identified a 23-gene signature predicting colorectal cancer prognosis. Subsequently, we analyzed the associations between the lactylation related gene risk and clinical characteristics, mutation landscapes, biological functions, immune cell infiltration, immunotherapy responses, and drug sensitivity. Core genes were further explored for deep biological insights through bioinformatics and in vitro experiments.  \nResults Our study innovatively reveals a significant elevation of global lactylation in colorectal cancer, particularly in malignant tumors, confirming it as an independent prognostic factor for CRC. Through a comprehensive analysis integrating tumor tissue arrays, TCGA dataset, GEO dataset, combining in silico investigations and in vitro experiments, we identified a 23-gene Lactylation-Related Gene risk model capable of predicting the prognosis of colorectal cancer patients. Noteworthy variations were observed in clinical characteristics, biological functions, immune cell infiltration, immune checkpoint expression, immunotherapy responses and drug sensitivity among distinct risk groups. Conclusions The Lactylation-Related Gene risk model exhibits significant potential for improving the management of colorectal cancer patients and enhancing therapeutic outcomes, particularly at the intersection of metabolism and immune evasion. This finding underscores the clinical relevance of global lactylation in CRC and lays the groundwork for mechanism investigation and targeted therapeutic strategies given the high lactate concentration in CRC.  \n†Huixia Huang, Keji Chen andYifei Zhu have contributed equally to this work.  \n*Correspondence: Dawei Li[li_dawei@fudan.edu.cn](li_dawei@fudan.edu.cn)[ ](li_dawei@fudan.edu.cn)Ping Wei [weiping@fudan.edu.cn](weiping@fudan.edu.cn)  \nFull list of author information is available at the end of the article  \n© The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the","cbCaivJXkJhKwAdN","https://ap.wps.com/l/cbCaivJXkJhKwAdN","pdf",21162239,22,"English","# Abstract\n## Background\n## Methods\n## Results\n## Conclusions\n# Keywords\n# Introduction","[{\"question\":\"What biological process is the study focused on, and why is it relevant to colorectal cancer?\",\"answer\":\"The study focuses on lactylation, a post-translational protein modification. It is relevant because lactylation is dysregulated in tumors, but its mechanisms in colorectal cancer—particularly non-histone lactylation—and its links to metabolism and immune evasion were unclear.\"},{\"question\":\"How did the researchers identify the lactylation-related prognostic signature?\",\"answer\":\"They measured global lactylation using immunohistochemistry on tissue microarrays and immunofluorescence in colorectal cell lines. They then used AUCell with single-cell RNA-seq correlation analyses and Cox/LASSO regression on TCGA, with validation in GEO, to identify a 23-gene signature.\"},{\"question\":\"What major clinical and functional associations did the 23-gene risk model reveal?\",\"answer\":\"The model associated lactylation-related risk with clinical characteristics, mutation landscapes, biological functions, immune cell infiltration, immune checkpoint expression, immunotherapy responses, and drug sensitivity across risk groups.\"}]","A multi-dimensional approach to unravel the intricacies of lactylation related signature for prognostic and therapeutic insight in colorectal cancer | PDF",1790001386,55]