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Quantitative real-time PCR profiles SRSF1-SRSF12 across cancer cell lines and stratified oral cancer patient samples, validated using TCGA transcriptomics data.",{"@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/healthcare/","Healthcare",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/exploring-serine-arginine-rich-splicing-factors-potential-predictive-markers-for-dysregulation-in-oral-cancer/328777/",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/exploring-serine-arginine-rich-splicing-factors-potential-predictive-markers-for-dysregulation-in-oral-cancer/328777.png","ImageObject",300,407,{"name":42,"@type":43},"Theodore","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-23","2026-09-21",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",5,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What is the main research focus of the study?","Question",{"text":63,"@type":64},"The study investigates the expression profile of the full SRSF family (SRSF1-SRSF12) to identify potential predictive markers related to dysregulation in oral cancer progression.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How was SRSF expression measured across samples?",{"text":68,"@type":64},"SRSF expression was assessed using quantitative Real-Time PCR in 23 cancer cell lines, and transcript levels were examined in oral cancer patient samples stratified by disease stage, with validation using TCGA transcriptomics.",{"name":70,"@type":61,"acceptedAnswer":71},"Which SRSF members showed the most significant differences in oral cancer?",{"text":72,"@type":64},"The results highlight upregulation of SRSF3, SRSF9, and SRSF10 across oral cancer cell lines, and upregulation of several SRSF members including SRSF1, SRSF3, SRSF7, SRSF9, SRSF10, and SRSF11 in late-stage patient samples; TCGA data also showed increased SRSF1, SRSF4, SRSF9, SRSF10, and SRSF11 in OSCC patients.","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},328777,1790678022,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,100,105,109,114,119,122,126],{"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":55,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":107,"slug":108},7,40,"healthcare",{"id":110,"doc_module":4,"doc_module_name":25,"category_name":111,"show_sort_weight":112,"slug":113},8,"Research & Report",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":55,"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":106,"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":112},7971461740886,"https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","Sharma et al. BMC Cancer (2024) 24:1094 BMC Cancer  \n[https://doi.org/10.1186/s12885-024-12750-4](https://doi.org/10.1186/s12885-024-12750-4)  \nRESEARCH Open Access  \nExploring serine-arginine rich splicing factors:  potential predictive markers for dysregulation in oral cancer  \nSakshi Sharma 1, Manasi Mittal 1, Akanksha Shukla 1, Jiyauddin Khan 1, Veronique Dinand2 and Daman Saluja 1,3*  \nAbstract  \nBackground Dysregulated splicing events are a common phenomenon in cancer with the Serine-arginine-rich splicing factor (SRSF) family emerging as pivotal regulators of gene expression, exerting influence over constitutive and alternative splicing processes. Although aberrations in a few SRSF family members have been implicated in various cancers, the comprehensive roles of other family constituents remain underexplored.  \nMethods This study delves into the expression profile of the entire SRSF family (SRSF1-SRSF12) in 23 cancerous cell lines originating from diverse tissues using quantitative Real-Time PCR. Further, the transcript level s of the SRSF family were examined in oral cancer patient samples stratified into Pre-cancer (n = 15), Early cancer (n = 11), Late cancer (n = 14), and adjacent non-tumor tissues (n = 26) as controls. The results were corroborated by a parallel investigation utilizing the transcriptomics data of oral squamous cell carcinoma (OSCC) patients (n = 319) and controls (n = 35) available in The Cancer Genome Atlas (TCGA) database.  \nResults Our investigation reveals a notable upregulation in the expression levels of key splicing factors, namely SRSF3, SRSF9, and SRSF10 in all oral cancer cell lines (SCC-4, UM-SCC-84, CAL33, SAS-H1) . Conversely, no significant associations between SRSF family members and other cancer cell lines were discerned. Further, the expression profile of the SRSF family in oral cancer patient samples revealed significant upregulation of SRSF1, SRSF3, SRSF7, SRSF9, SRSF10, and SRSF11 in patients with late-stage oral cancer compared to controls. Transcriptomics data from TCGA database demonstrated remarkable upregulation of SRSF1, SRSF4, SRSF9, SRSF10, and SRSF11 in OSCC patients. Conclusion Collectively our results underscore the critical involvement of SRSF family members in the context of oral cancer, highlighting their potential as key players in the altered splicing dynamics associated with cancer progression.  \n*Correspondence: Daman Saluja[dsalujach59@gmail.com](dsalujach59@gmail.com)  \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-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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 copyright holder. To view a copy of this licence, visit [http://](http://)[ ](http://)[creativecommons.org/l](creativecommons.org/l)icenses/by-nc-nd/4.0/.  \nSharma et al. BMC Cancer (2024) 24:1094 Page 2 of 12  \nGraphical abstract  \nKeywords Oral squamous cell carcinoma, Cell lines, RNA splicing factors, SRSF, Dysregulated expression, TCGA database, Cancer progression, Alternative splicing  \nIntroduction  \nHead and neck cancers are the seventh most commonly diagnosed group of malignancies worldwide [1]","cbCaiivOfH2HqI2a","https://ap.wps.com/l/cbCaiivOfH2HqI2a","pdf",4785720,12,"English","# Abstract\n## Background\n## Methods\n## Results\n## Conclusion\n# Introduction\n## Pre-mRNA splicing and cancer relevance\n## SRSF proteins and spliceosome function","[{\"question\":\"What is the main research focus of the study?\",\"answer\":\"The study investigates the expression profile of the full SRSF family (SRSF1-SRSF12) to identify potential predictive markers related to dysregulation in oral cancer progression.\"},{\"question\":\"How was SRSF expression measured across samples?\",\"answer\":\"SRSF expression was assessed using quantitative Real-Time PCR in 23 cancer cell lines, and transcript levels were examined in oral cancer patient samples stratified by disease stage, with validation using TCGA transcriptomics.\"},{\"question\":\"Which SRSF members showed the most significant differences in oral cancer?\",\"answer\":\"The results highlight upregulation of SRSF3, SRSF9, and SRSF10 across oral cancer cell lines, and upregulation of several SRSF members including SRSF1, SRSF3, SRSF7, SRSF9, SRSF10, and SRSF11 in late-stage patient samples; TCGA data also showed increased SRSF1, SRSF4, SRSF9, SRSF10, and SRSF11 in OSCC patients.\"}]","Exploring serine-arginine rich splicing factors - potential predictive markers for dysregulation in oral cancer | PDF",1789980946]