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Bioinformatics analysis of the clinical value and potential mechanisms of AHNAK2 in papillary thyroid carcinoma

Background: AHNAK2 has been recently reported as a biomarker in many cancers. However, a systematic investigation of AHNAK2 in papillary thyroid carcinoma (PTC) has not been conducted. Results: AHNAK2 is overexpressed in PTC tissues and could be an independent prognostic factor. AHNAK2 expression wa...

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Autores principales: Xie, Zhenyu, Lun, Yu, Li, Xin, He, Yuzhen, Wu, Song, Wang, Shiyue, Sun, Jianjian, He, Yuchen, Zhang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585101/
https://www.ncbi.nlm.nih.gov/pubmed/32966238
http://dx.doi.org/10.18632/aging.103645
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author Xie, Zhenyu
Lun, Yu
Li, Xin
He, Yuzhen
Wu, Song
Wang, Shiyue
Sun, Jianjian
He, Yuchen
Zhang, Jian
author_facet Xie, Zhenyu
Lun, Yu
Li, Xin
He, Yuzhen
Wu, Song
Wang, Shiyue
Sun, Jianjian
He, Yuchen
Zhang, Jian
author_sort Xie, Zhenyu
collection PubMed
description Background: AHNAK2 has been recently reported as a biomarker in many cancers. However, a systematic investigation of AHNAK2 in papillary thyroid carcinoma (PTC) has not been conducted. Results: AHNAK2 is overexpressed in PTC tissues and could be an independent prognostic factor. AHNAK2 expression was significantly high in patients with advanced stage, advanced T classification, lymph node metastasis, increased BRAF mutations and decreased RAS mutations. Cell adhesion-, cell junction-, and immune-related pathways were the most frequently noted in gene set enrichment analysis. AHNAK2 expression in PTC was positively correlated with immune infiltration and negatively correlated with AHNAK2 methylation. AHNAK2 expression was significantly positively correlated with tumor progression and poor overall survival (OS) in pan-cancer patients. Conclusions: AHNAK2 is a good biomarker for the diagnosis and prognosis of PTC. AHNAK2 may promote thyroid cancer progression through cell adhesion-, cell junction-, and immune-related pathways. Methylation may act as an upstream regulator to inhibit the expression and biological function of AHNAK2. Additionally, AHNAK2 has broad prognostic value in pan-cancer. Methods: Based on The Cancer Genome Atlas (TCGA) data, we screened AHNAK2-related genes through weighted gene coexpression network analysis and explored the clinical value and the potential mechanism of AHNAK2 in PTC by multiomics analysis.
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spelling pubmed-75851012020-11-03 Bioinformatics analysis of the clinical value and potential mechanisms of AHNAK2 in papillary thyroid carcinoma Xie, Zhenyu Lun, Yu Li, Xin He, Yuzhen Wu, Song Wang, Shiyue Sun, Jianjian He, Yuchen Zhang, Jian Aging (Albany NY) Research Paper Background: AHNAK2 has been recently reported as a biomarker in many cancers. However, a systematic investigation of AHNAK2 in papillary thyroid carcinoma (PTC) has not been conducted. Results: AHNAK2 is overexpressed in PTC tissues and could be an independent prognostic factor. AHNAK2 expression was significantly high in patients with advanced stage, advanced T classification, lymph node metastasis, increased BRAF mutations and decreased RAS mutations. Cell adhesion-, cell junction-, and immune-related pathways were the most frequently noted in gene set enrichment analysis. AHNAK2 expression in PTC was positively correlated with immune infiltration and negatively correlated with AHNAK2 methylation. AHNAK2 expression was significantly positively correlated with tumor progression and poor overall survival (OS) in pan-cancer patients. Conclusions: AHNAK2 is a good biomarker for the diagnosis and prognosis of PTC. AHNAK2 may promote thyroid cancer progression through cell adhesion-, cell junction-, and immune-related pathways. Methylation may act as an upstream regulator to inhibit the expression and biological function of AHNAK2. Additionally, AHNAK2 has broad prognostic value in pan-cancer. Methods: Based on The Cancer Genome Atlas (TCGA) data, we screened AHNAK2-related genes through weighted gene coexpression network analysis and explored the clinical value and the potential mechanism of AHNAK2 in PTC by multiomics analysis. Impact Journals 2020-09-23 /pmc/articles/PMC7585101/ /pubmed/32966238 http://dx.doi.org/10.18632/aging.103645 Text en Copyright: © 2020 Xie 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
Xie, Zhenyu
Lun, Yu
Li, Xin
He, Yuzhen
Wu, Song
Wang, Shiyue
Sun, Jianjian
He, Yuchen
Zhang, Jian
Bioinformatics analysis of the clinical value and potential mechanisms of AHNAK2 in papillary thyroid carcinoma
title Bioinformatics analysis of the clinical value and potential mechanisms of AHNAK2 in papillary thyroid carcinoma
title_full Bioinformatics analysis of the clinical value and potential mechanisms of AHNAK2 in papillary thyroid carcinoma
title_fullStr Bioinformatics analysis of the clinical value and potential mechanisms of AHNAK2 in papillary thyroid carcinoma
title_full_unstemmed Bioinformatics analysis of the clinical value and potential mechanisms of AHNAK2 in papillary thyroid carcinoma
title_short Bioinformatics analysis of the clinical value and potential mechanisms of AHNAK2 in papillary thyroid carcinoma
title_sort bioinformatics analysis of the clinical value and potential mechanisms of ahnak2 in papillary thyroid carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585101/
https://www.ncbi.nlm.nih.gov/pubmed/32966238
http://dx.doi.org/10.18632/aging.103645
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