Mitochondrial-related drug resistance lncRNAs as prognostic biomarkers in laryngeal squamous cell carcinoma

Abstract Laryngeal squamous cell carcinoma (LSCC) is a common malignant tumor of the head and neck that significantly impacts patients' quality of life, with chemotherapy resistance notably affecting prognosis. This study aims to identify prognostic biomarkers to optimize treatment strategies f...

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Main Authors: Zhimin Wu, Yi Chen, Dizhi Jiang, Yipeng Pan, Tuoxian Tang, Yifei Ma, Tiannake Shapaer
Format: Article
Language:English
Published: Springer 2024-12-01
Series:Discover Oncology
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Online Access:https://doi.org/10.1007/s12672-024-01690-x
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author Zhimin Wu
Yi Chen
Dizhi Jiang
Yipeng Pan
Tuoxian Tang
Yifei Ma
Tiannake Shapaer
author_facet Zhimin Wu
Yi Chen
Dizhi Jiang
Yipeng Pan
Tuoxian Tang
Yifei Ma
Tiannake Shapaer
author_sort Zhimin Wu
collection DOAJ
description Abstract Laryngeal squamous cell carcinoma (LSCC) is a common malignant tumor of the head and neck that significantly impacts patients' quality of life, with chemotherapy resistance notably affecting prognosis. This study aims to identify prognostic biomarkers to optimize treatment strategies for LSCC. Using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), combined with mitochondrial gene database analysis, we identified mitochondrial lncRNAs associated with drug resistance genes. Key long non-coding RNAs (lncRNAs) were selected through univariate Cox regression and Lasso regression, and a multivariate Cox regression model was constructed to predict prognosis. We further analyzed the differences in immune function and biological pathway enrichment between high- and low-risk groups, developed a nomogram, and compared drug sensitivity. Results showed that the prognostic model based on seven mitochondrial lncRNAs could serve as an independent prognostic factor, with Area Under the Curve (AUC) values of 0.746, 0.827, and 0.771 at 1, 3, and 5 years, respectively, outperforming some existing models, demonstrating high predictive performance. Significant differences were observed in immune function and drug sensitivity between the high- and low-risk groups. The risk prediction model incorporating seven drug resistance-related mitochondrial lncRNAs can accurately and independently predict the prognosis of LSCC patients.
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issn 2730-6011
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publisher Springer
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spelling doaj-art-7b070fbedc1246ea8945a2288f8aa0772025-08-20T01:57:16ZengSpringerDiscover Oncology2730-60112024-12-0115112010.1007/s12672-024-01690-xMitochondrial-related drug resistance lncRNAs as prognostic biomarkers in laryngeal squamous cell carcinomaZhimin Wu0Yi Chen1Dizhi Jiang2Yipeng Pan3Tuoxian Tang4Yifei Ma5Tiannake Shapaer6Department of Otorhinolaryngology Head and Neck Surgery, The Maternal and Child Health Care Hospital of Guizhou Medical UniversityDepartment of Breast and Thyroid Surgery, the Affiliated Cancer Hospital of Xinjiang Medical UniversityDepartment of Radiation Oncology, Cheeloo College of Medicine, Qilu Hospital of Shandong University, Shandong UniversityDepartment of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of MedicineDepartment of Biology, University of PennsylvaniaDepartment of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical UniversityDepartment of Gastrointestinal Surgery, the Affiliated Cancer Hospital of Xinjiang Medical UniversityAbstract Laryngeal squamous cell carcinoma (LSCC) is a common malignant tumor of the head and neck that significantly impacts patients' quality of life, with chemotherapy resistance notably affecting prognosis. This study aims to identify prognostic biomarkers to optimize treatment strategies for LSCC. Using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), combined with mitochondrial gene database analysis, we identified mitochondrial lncRNAs associated with drug resistance genes. Key long non-coding RNAs (lncRNAs) were selected through univariate Cox regression and Lasso regression, and a multivariate Cox regression model was constructed to predict prognosis. We further analyzed the differences in immune function and biological pathway enrichment between high- and low-risk groups, developed a nomogram, and compared drug sensitivity. Results showed that the prognostic model based on seven mitochondrial lncRNAs could serve as an independent prognostic factor, with Area Under the Curve (AUC) values of 0.746, 0.827, and 0.771 at 1, 3, and 5 years, respectively, outperforming some existing models, demonstrating high predictive performance. Significant differences were observed in immune function and drug sensitivity between the high- and low-risk groups. The risk prediction model incorporating seven drug resistance-related mitochondrial lncRNAs can accurately and independently predict the prognosis of LSCC patients.https://doi.org/10.1007/s12672-024-01690-xLaryngeal squamous cell carcinomaMitochondria-associated lncRNAsChemotherapy resistanceImmune responsePrognostic model
spellingShingle Zhimin Wu
Yi Chen
Dizhi Jiang
Yipeng Pan
Tuoxian Tang
Yifei Ma
Tiannake Shapaer
Mitochondrial-related drug resistance lncRNAs as prognostic biomarkers in laryngeal squamous cell carcinoma
Discover Oncology
Laryngeal squamous cell carcinoma
Mitochondria-associated lncRNAs
Chemotherapy resistance
Immune response
Prognostic model
title Mitochondrial-related drug resistance lncRNAs as prognostic biomarkers in laryngeal squamous cell carcinoma
title_full Mitochondrial-related drug resistance lncRNAs as prognostic biomarkers in laryngeal squamous cell carcinoma
title_fullStr Mitochondrial-related drug resistance lncRNAs as prognostic biomarkers in laryngeal squamous cell carcinoma
title_full_unstemmed Mitochondrial-related drug resistance lncRNAs as prognostic biomarkers in laryngeal squamous cell carcinoma
title_short Mitochondrial-related drug resistance lncRNAs as prognostic biomarkers in laryngeal squamous cell carcinoma
title_sort mitochondrial related drug resistance lncrnas as prognostic biomarkers in laryngeal squamous cell carcinoma
topic Laryngeal squamous cell carcinoma
Mitochondria-associated lncRNAs
Chemotherapy resistance
Immune response
Prognostic model
url https://doi.org/10.1007/s12672-024-01690-x
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AT yipengpan mitochondrialrelateddrugresistancelncrnasasprognosticbiomarkersinlaryngealsquamouscellcarcinoma
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