Systematic identification of pathological mechanisms, prognostic biomarkers and therapeutic targets by integrating lncRNA expression variation in salivary gland mucoepidermoid carcinoma

Abstract Biological processes intricately intertwine with tumorigenesis, significantly influencing treatment outcomes and prognosis. However, the mechanisms fostering mucoepidermoid carcinoma (MEC) remain inadequately elucidated. This research utilizes expression profiles of lncRNAs from clinical ME...

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Main Authors: Yan-ping Zou, Xiao-feng Shan, Jia-xuan Qiu, Yan Geng, Shang Xie, Ruo-lan Xiang, Zhi-gang Cai
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-85535-9
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author Yan-ping Zou
Xiao-feng Shan
Jia-xuan Qiu
Yan Geng
Shang Xie
Ruo-lan Xiang
Zhi-gang Cai
author_facet Yan-ping Zou
Xiao-feng Shan
Jia-xuan Qiu
Yan Geng
Shang Xie
Ruo-lan Xiang
Zhi-gang Cai
author_sort Yan-ping Zou
collection DOAJ
description Abstract Biological processes intricately intertwine with tumorigenesis, significantly influencing treatment outcomes and prognosis. However, the mechanisms fostering mucoepidermoid carcinoma (MEC) remain inadequately elucidated. This research utilizes expression profiles of lncRNAs from clinical MEC tissues and matched normal glandular tissues, integrating public data to explore the biological mechanisms and immune microenvironment characteristics of tumorigenesis. Gene set enrichment analysis identified key pathways, and a customized epithelial-mesenchymal transition (EMT) score elucidated the relationship between pathological processes and prognosis, while an immune signature revealed tumor microenvironment characteristics. MECs exhibited significant enrichment in EMT pathway, with key genes such as Secretogranin II, tissue factor pathway inhibitor 2, and periostin identified as contributors to the EMT process. High EMT scores correlated with upregulated EMT and immune response activity, indicating poor prognosis. Single-sample gene set enrichment analysis unveiled the tumors’ immune infiltration signature, suggesting active antigen presentation and a positive immune response for immunotherapy. Additionally, SLC2A1-AS1 and CERS6-AS1 were identified as potential mediators of EMT and the immune environment. This study provides insights into the biological processes of MEC tumorigenesis and identifies potential therapeutic targets for future research.
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issn 2045-2322
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spelling doaj-art-eb646af23cba468fbf7e1674279c2db62025-01-12T12:17:20ZengNature PortfolioScientific Reports2045-23222025-01-0115111210.1038/s41598-025-85535-9Systematic identification of pathological mechanisms, prognostic biomarkers and therapeutic targets by integrating lncRNA expression variation in salivary gland mucoepidermoid carcinomaYan-ping Zou0Xiao-feng Shan1Jia-xuan Qiu2Yan Geng3Shang Xie4Ruo-lan Xiang5Zhi-gang Cai6Department of Oral and Maxillofacial Surgery, National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices& Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Peking University School and Hospital of StomatologyDepartment of Oral and Maxillofacial Surgery, National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices& Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Peking University School and Hospital of StomatologyDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Nanchang UniversityDepartment of Otolaryngology, Head and Neck Surgery, Peking University First HospitalDepartment of Oral and Maxillofacial Surgery, National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices& Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Peking University School and Hospital of StomatologyDepartment of Physiology and Pathophysiology, Key Laboratory of Molecular Cardiovascular Sciences, Peking University School of Basic Medical Sciences, Ministry of EducationDepartment of Oral and Maxillofacial Surgery, National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices& Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Peking University School and Hospital of StomatologyAbstract Biological processes intricately intertwine with tumorigenesis, significantly influencing treatment outcomes and prognosis. However, the mechanisms fostering mucoepidermoid carcinoma (MEC) remain inadequately elucidated. This research utilizes expression profiles of lncRNAs from clinical MEC tissues and matched normal glandular tissues, integrating public data to explore the biological mechanisms and immune microenvironment characteristics of tumorigenesis. Gene set enrichment analysis identified key pathways, and a customized epithelial-mesenchymal transition (EMT) score elucidated the relationship between pathological processes and prognosis, while an immune signature revealed tumor microenvironment characteristics. MECs exhibited significant enrichment in EMT pathway, with key genes such as Secretogranin II, tissue factor pathway inhibitor 2, and periostin identified as contributors to the EMT process. High EMT scores correlated with upregulated EMT and immune response activity, indicating poor prognosis. Single-sample gene set enrichment analysis unveiled the tumors’ immune infiltration signature, suggesting active antigen presentation and a positive immune response for immunotherapy. Additionally, SLC2A1-AS1 and CERS6-AS1 were identified as potential mediators of EMT and the immune environment. This study provides insights into the biological processes of MEC tumorigenesis and identifies potential therapeutic targets for future research.https://doi.org/10.1038/s41598-025-85535-9Mucoepidermoid carcinomaLong non-coding RNAsEpithelial-mesenchymal transitionImmune microenvironmentPrognosis
spellingShingle Yan-ping Zou
Xiao-feng Shan
Jia-xuan Qiu
Yan Geng
Shang Xie
Ruo-lan Xiang
Zhi-gang Cai
Systematic identification of pathological mechanisms, prognostic biomarkers and therapeutic targets by integrating lncRNA expression variation in salivary gland mucoepidermoid carcinoma
Scientific Reports
Mucoepidermoid carcinoma
Long non-coding RNAs
Epithelial-mesenchymal transition
Immune microenvironment
Prognosis
title Systematic identification of pathological mechanisms, prognostic biomarkers and therapeutic targets by integrating lncRNA expression variation in salivary gland mucoepidermoid carcinoma
title_full Systematic identification of pathological mechanisms, prognostic biomarkers and therapeutic targets by integrating lncRNA expression variation in salivary gland mucoepidermoid carcinoma
title_fullStr Systematic identification of pathological mechanisms, prognostic biomarkers and therapeutic targets by integrating lncRNA expression variation in salivary gland mucoepidermoid carcinoma
title_full_unstemmed Systematic identification of pathological mechanisms, prognostic biomarkers and therapeutic targets by integrating lncRNA expression variation in salivary gland mucoepidermoid carcinoma
title_short Systematic identification of pathological mechanisms, prognostic biomarkers and therapeutic targets by integrating lncRNA expression variation in salivary gland mucoepidermoid carcinoma
title_sort systematic identification of pathological mechanisms prognostic biomarkers and therapeutic targets by integrating lncrna expression variation in salivary gland mucoepidermoid carcinoma
topic Mucoepidermoid carcinoma
Long non-coding RNAs
Epithelial-mesenchymal transition
Immune microenvironment
Prognosis
url https://doi.org/10.1038/s41598-025-85535-9
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