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A study used RNA-seq data from cervical SCC, cervical ADC, and normal cervix, followed by multi-phase validation across clinical tissue cohorts and independent patient sets. Differentially expressed mRNAs and lncRNAs were refined into an mRNA-lncRNA diagnostic panel using qRT-PCR and ROC analyses, supported by logistic regression. The panel distinguished SCC/ADC patients and also separated precancerous lesions and cervical cancer from controls in a blood-based validation set.",{"@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/a-novel-non-invasive-mrna-lncrna-biomarker-panel-for-accurate-prediction-of-cervical-squamous-cell-carcinoma-and-adenocarcinoma/374767/",{"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/a-novel-non-invasive-mrna-lncrna-biomarker-panel-for-accurate-prediction-of-cervical-squamous-cell-carcinoma-and-adenocarcinoma/374767.png","ImageObject",300,407,{"name":92,"@type":93},"McGucket","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-28","2026-09-23",true,{"@type":102,"interactionType":103,"userInteractionCount":39},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What diagnostic model was developed in the study?","Question",{"text":112,"@type":113},"The study refined a novel mRNA-lncRNA-based panel (SMC1B/CELSR3/FEZF1-AS1/LINC01305) using logistic regression and ROC analysis.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was the biomarker panel validated?",{"text":117,"@type":113},"It was validated in multiple phases: tissue-based training and validation sets and an additional blood-based validation cohort to assess diagnostic performance.",{"name":119,"@type":110,"acceptedAnswer":120},"What were the reported performance metrics of the panel?",{"text":121,"@type":113},"The panel showed significant discrimination for both SCC and ADC tissues with strong AUC values in training and independent validation, and it also produced an AUC value for separating blood-based groups including HSIL and cervical cancer.","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},374767,1790243183,{"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":39,"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},1236954412713,"https://us-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","37TH ANNUAL CONFERENCE OF THE  \nINTERNATIONAL PAPILLOMAVIRUS SOCIETY  \nResearch toward the global elimination of HPV-related diseases and cancers  \nOCTOBER23-26, 2025 | BANGKOK, THAILAND  \nDON’T MISS THESE IMPORTANT DATES  \nENJOY AN EXCLUSIVE 10% DISCOUNT  \n[ipvconference.org | \\#IPVS2025](ipvconference.org | #IPVS2025)  \nJ Gynecol Oncol. 2025 Sep;36(5):e81 [https://doi.org/10.3802/jgo.2025.36.e81](https://doi.org/10.3802/jgo.2025.36.e81)[ ](https://doi.org/10.3802/jgo.2025.36.e81)pISSN 2005-0380·eISSN 2005-0399  \nOriginal Article  \nReceived: Oct 9, 2024  \nRevised: Dec 15, 2024  \nAccepted: Feb 4, 2025  \nPublished online: Mar 4, 2025  \nCorrespondence to  \nJunfen Xu  \nDepartment of Gynecologic Oncology, Women’s Hospital, Zhejiang University School of Medicine; Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China. [Email: xjfzu@zju.edu.cn](Email: xjfzu@zju.edu.cn)  \n*Yixuan Cen, Mengyan Tu and Yanan Zhang contributed equally to this work.  \n© 2025. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology, and Japan Society of Gynecologic Oncology  \nThis is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ([https://](https://)[ ](https://)[creativecommons.org/licenses/by-nc/4.0/](creativecommons.org/licenses/by-nc/4.0/)) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.  \nORCID iDs  \nYixuan Cen  [https://orcid.org/0000-0002-2185-545X](https://orcid.org/0000-0002-2185-545X)Mengyan Tu  [https://orcid.org/0000-0002-7185-0024](https://orcid.org/0000-0002-7185-0024)[ ](https://orcid.org/0000-0002-7185-0024)Yanan Zhang  [https://orcid.org/0000-0002-5548-989X](https://orcid.org/0000-0002-5548-989X)  \nA novel non-invasive mRNA-lncRNA biomarker panel for accurate prediction of cervical squamous cell carcinoma and adenocarcinoma  \nYixuan Cen ,1, 2,* Mengyan Tu ,2,* Yanan Zhang ,2,3,* Yan Ren ,2 Junfen Xu  1,2  \n1Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China  \n2Department of Gynecologic Oncology, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China  \n3Department of Obstetrics and Gynecology Peking University People’s Hospital, Beijing, China  \nABSTRACT  \nSquamous cell carcinoma (SCC) and adenocarcinoma (ADC) represent predominant histological subtypes of cervical cancer. To improve screening efficacy, we leveraged RNA sequencing data from 4 cervical SCC samples, 4 cervical ADC samples, and 8 normal cervix samples and conducted a comprehensive mRNA and long noncoding RNA (lncRNA) profiling analysis followed with a multi-phase study comprising 556 samples. Validating the RNA sequencing data in a clinical sample set comprising 45 normal cervix tissues, 45 SCC tissues, and 45 ADC tissues, we identified 9 mRNAs (SMC1B, OTX1, GRP, CELSR3, HOXC6, ITGB6, WDR62, SEPT3, and KLHL34) and 4 lncRNAs (FEZF1-AS1, LINC01305, LINC00857, and LINC00673) differentially expressed in both SCC and ADC samples. Utilizing quantitative reverse transcription polymerase chain reaction analysis and receiver operating characteristic (ROC) curve analysis in a training set (45 normal, 126 SCC, and 82 ADC tissues), we refined a novel mRNA-lncRNA-based panel (SMC1B/CELSR3/FEZF1-AS1/LINC01305). Employing logistic regression model and ROC analysis, this panel exhibited significant distinctions and promising area under the curve (AUC) values in both SCC (AUC=0.9520, p\u003C0.0001) and ADC (AUC=0.9748, p\u003C0.0001) tissues. Subsequent validation in an independent set (11 normal, 32 SCC, and 20 ADC tissues) demonstrated its diagnostic accuracy in both SCC (AUC=0.9659, p\u003C0.0001) and ADC (AUC=0.9636, p\u003C0.0001) patients. Notably, this tissue-based biomarker panel ro","cbCaioNbP6pHicMU","https://ap.wps.com/l/cbCaioNbP6pHicMU","pdf",6325008,17,"English","# Abstract\n## Introduction\n## Results\n## Discussion\n## Methods\n## Funding\n## Conflict of Interest\n## Data Availability\n## Author Contributions","[{\"question\":\"What diagnostic model was developed in the study?\",\"answer\":\"The study refined a novel mRNA-lncRNA-based panel (SMC1B/CELSR3/FEZF1-AS1/LINC01305) using logistic regression and ROC analysis.\"},{\"question\":\"How was the biomarker panel validated?\",\"answer\":\"It was validated in multiple phases: tissue-based training and validation sets and an additional blood-based validation cohort to assess diagnostic performance.\"},{\"question\":\"What were the reported performance metrics of the panel?\",\"answer\":\"The panel showed significant discrimination for both SCC and ADC tissues with strong AUC values in training and independent validation, and it also produced an AUC value for separating blood-based groups including HSIL and cervical cancer.\"}]","A novel non-invasive mRNA-lncRNA biomarker panel for accurate prediction of cervical squamous cell carcinoma and adenocarcinoma | PDF",1790202361,43]