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Increased SEMA6B expression as a potential prognostic and immune cell infiltration biomarker in thyroid cancer patients

Background: Even today, thyroid cancer (THCA) remains an important threat to global health. For THCA patients, differentiated thyroid cancer is the most commonly identified pathological subtype, and those diagnosed with papillary thyroid cancer generally have good overall prognosis. For poorly diffe...

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Autores principales: Lei, Qinghua, Wang, Yunha, Li, Junhua, Wang, Shanshan, Hu, Yanyan, Duan, Lihua, Huo, Yanfei, Wu, Yiping, Liu, Hongzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449300/
https://www.ncbi.nlm.nih.gov/pubmed/37155149
http://dx.doi.org/10.18632/aging.204691
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author Lei, Qinghua
Wang, Yunha
Li, Junhua
Wang, Shanshan
Hu, Yanyan
Duan, Lihua
Huo, Yanfei
Wu, Yiping
Liu, Hongzhou
author_facet Lei, Qinghua
Wang, Yunha
Li, Junhua
Wang, Shanshan
Hu, Yanyan
Duan, Lihua
Huo, Yanfei
Wu, Yiping
Liu, Hongzhou
author_sort Lei, Qinghua
collection PubMed
description Background: Even today, thyroid cancer (THCA) remains an important threat to global health. For THCA patients, differentiated thyroid cancer is the most commonly identified pathological subtype, and those diagnosed with papillary thyroid cancer generally have good overall prognosis. For poorly differentiated subtype THCA, patients have aggressive disease course, higher risk of distant organ metastasis and inferior overall prognosis. Methods: RNA-seq data from TCGA and GTEx databases are collected and analyzed via R. The correlation between SEMA6B expression level and pathological as well as clinical parameters of THCA patients was respectively investigated. Gene expression profiling and subsequent functional clustering analysis was the performed utilizing GSEA. The receiver operating characteristic (ROC) curve was utilized to evaluate the diagnostic value of SEMA6B expression. Results: Increased SEMA6B expression was characteristic in THCA tumor samples and was associated with specific pathologic and clinical features for TCHA patients. Univariate and multivariate analysis indicated that SEMA6B was independent predictive marker for THCA patients’ prognosis. Gene expression profiling and functional clustering analysis suggested that SEMA6B high-expression was related with increased expression of multiple signal pathways and signatures of multiple immune cell infiltration. Conclusions: In this study, through bioinformatic analysis and clinical data investigation, we demonstrated the potential value of SEMA6B as diagnostic and prognostic marker in THCA patient treatment.
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spelling pubmed-104493002023-08-25 Increased SEMA6B expression as a potential prognostic and immune cell infiltration biomarker in thyroid cancer patients Lei, Qinghua Wang, Yunha Li, Junhua Wang, Shanshan Hu, Yanyan Duan, Lihua Huo, Yanfei Wu, Yiping Liu, Hongzhou Aging (Albany NY) Research Paper Background: Even today, thyroid cancer (THCA) remains an important threat to global health. For THCA patients, differentiated thyroid cancer is the most commonly identified pathological subtype, and those diagnosed with papillary thyroid cancer generally have good overall prognosis. For poorly differentiated subtype THCA, patients have aggressive disease course, higher risk of distant organ metastasis and inferior overall prognosis. Methods: RNA-seq data from TCGA and GTEx databases are collected and analyzed via R. The correlation between SEMA6B expression level and pathological as well as clinical parameters of THCA patients was respectively investigated. Gene expression profiling and subsequent functional clustering analysis was the performed utilizing GSEA. The receiver operating characteristic (ROC) curve was utilized to evaluate the diagnostic value of SEMA6B expression. Results: Increased SEMA6B expression was characteristic in THCA tumor samples and was associated with specific pathologic and clinical features for TCHA patients. Univariate and multivariate analysis indicated that SEMA6B was independent predictive marker for THCA patients’ prognosis. Gene expression profiling and functional clustering analysis suggested that SEMA6B high-expression was related with increased expression of multiple signal pathways and signatures of multiple immune cell infiltration. Conclusions: In this study, through bioinformatic analysis and clinical data investigation, we demonstrated the potential value of SEMA6B as diagnostic and prognostic marker in THCA patient treatment. Impact Journals 2023-05-05 /pmc/articles/PMC10449300/ /pubmed/37155149 http://dx.doi.org/10.18632/aging.204691 Text en Copyright: © 2023 Lei et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Lei, Qinghua
Wang, Yunha
Li, Junhua
Wang, Shanshan
Hu, Yanyan
Duan, Lihua
Huo, Yanfei
Wu, Yiping
Liu, Hongzhou
Increased SEMA6B expression as a potential prognostic and immune cell infiltration biomarker in thyroid cancer patients
title Increased SEMA6B expression as a potential prognostic and immune cell infiltration biomarker in thyroid cancer patients
title_full Increased SEMA6B expression as a potential prognostic and immune cell infiltration biomarker in thyroid cancer patients
title_fullStr Increased SEMA6B expression as a potential prognostic and immune cell infiltration biomarker in thyroid cancer patients
title_full_unstemmed Increased SEMA6B expression as a potential prognostic and immune cell infiltration biomarker in thyroid cancer patients
title_short Increased SEMA6B expression as a potential prognostic and immune cell infiltration biomarker in thyroid cancer patients
title_sort increased sema6b expression as a potential prognostic and immune cell infiltration biomarker in thyroid cancer patients
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449300/
https://www.ncbi.nlm.nih.gov/pubmed/37155149
http://dx.doi.org/10.18632/aging.204691
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