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Transcriptomic analysis reveals the potential biological mechanism of AIS and lung adenocarcinoma

INTRODUCTION: Acute ischemic stroke (AIS) and lung adenocarcinoma (LUAD) are associated with some of the highest morbidity and mortality rates worldwide. Despite reports on their strong correlation, the causal relationship is not fully understood. The study aimed to identify and annotate the biologi...

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Autores principales: Qin, Rong-Xing, Yang, Yue, Chen, Jia-Feng, Huang, Li-Juan, Xu, Wei, Qin, Qing-Chun, Liang, Xiao-Jun, Lai, Xin-Yu, Huang, Xiao-Ying, Xie, Min-Shan, Chen, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229805/
https://www.ncbi.nlm.nih.gov/pubmed/37265472
http://dx.doi.org/10.3389/fneur.2023.1119160
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author Qin, Rong-Xing
Yang, Yue
Chen, Jia-Feng
Huang, Li-Juan
Xu, Wei
Qin, Qing-Chun
Liang, Xiao-Jun
Lai, Xin-Yu
Huang, Xiao-Ying
Xie, Min-Shan
Chen, Li
author_facet Qin, Rong-Xing
Yang, Yue
Chen, Jia-Feng
Huang, Li-Juan
Xu, Wei
Qin, Qing-Chun
Liang, Xiao-Jun
Lai, Xin-Yu
Huang, Xiao-Ying
Xie, Min-Shan
Chen, Li
author_sort Qin, Rong-Xing
collection PubMed
description INTRODUCTION: Acute ischemic stroke (AIS) and lung adenocarcinoma (LUAD) are associated with some of the highest morbidity and mortality rates worldwide. Despite reports on their strong correlation, the causal relationship is not fully understood. The study aimed to identify and annotate the biological functions of hub genes with clinical diagnostic efficacy in AIS and LUAD. METHODS: Transcriptome and single-cell datasets were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). We identified the differentially expressed genes (DEGs) upregulated in AIS and LUAD and found 372 genes intersecting both datasets. Hub genes were identified using protein-protein interaction (PPI) networks, and the diagnostic and prognostic utility of these hub genes was then investigated using receiver operating characteristic (ROC) curves, survival analysis, and univariable Cox proportional hazard regression. Single-cell analysis was used to detect whether the hub genes were expressed in tumor epithelial cells. The immune microenvironment of AIS and LUAD was assessed using the CIBERSORT algorithm. The protein expression of these hub genes was tracked using the Human Protein Atlas (HPA). We calculated the number of positive cells using the digital pathology software QuPath. Finally, we performed molecular docking after using the Enrichr database to predict possible medicines. RESULTS: We identified the molecular mechanisms underlying hub genes in AIS and LUAD and found that CCNA2, CCNB1, CDKN2A, and CDK1 were highly expressed in AIS and LUAD tissue samples compared to controls. The hub genes were mainly involved in the following pathways: the cell cycle, cellular senescence, and the HIF-1 signaling pathway. Using immunohistochemical slices from the HPA database, we confirmed that these hub genes have a high diagnostic capability for AIS and LUAD. Further, their high expression is associated with poor prognosis. Finally, curcumin was tested as a potential medication using molecular docking modeling. DISCUSSION: Our findings suggest that the hub genes we found in this study contribute to the development and progression of AIS and LUAD by altering the cellular senescence pathway. Thus, they may be promising markers for diagnosis and prognosis.
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spelling pubmed-102298052023-06-01 Transcriptomic analysis reveals the potential biological mechanism of AIS and lung adenocarcinoma Qin, Rong-Xing Yang, Yue Chen, Jia-Feng Huang, Li-Juan Xu, Wei Qin, Qing-Chun Liang, Xiao-Jun Lai, Xin-Yu Huang, Xiao-Ying Xie, Min-Shan Chen, Li Front Neurol Neurology INTRODUCTION: Acute ischemic stroke (AIS) and lung adenocarcinoma (LUAD) are associated with some of the highest morbidity and mortality rates worldwide. Despite reports on their strong correlation, the causal relationship is not fully understood. The study aimed to identify and annotate the biological functions of hub genes with clinical diagnostic efficacy in AIS and LUAD. METHODS: Transcriptome and single-cell datasets were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). We identified the differentially expressed genes (DEGs) upregulated in AIS and LUAD and found 372 genes intersecting both datasets. Hub genes were identified using protein-protein interaction (PPI) networks, and the diagnostic and prognostic utility of these hub genes was then investigated using receiver operating characteristic (ROC) curves, survival analysis, and univariable Cox proportional hazard regression. Single-cell analysis was used to detect whether the hub genes were expressed in tumor epithelial cells. The immune microenvironment of AIS and LUAD was assessed using the CIBERSORT algorithm. The protein expression of these hub genes was tracked using the Human Protein Atlas (HPA). We calculated the number of positive cells using the digital pathology software QuPath. Finally, we performed molecular docking after using the Enrichr database to predict possible medicines. RESULTS: We identified the molecular mechanisms underlying hub genes in AIS and LUAD and found that CCNA2, CCNB1, CDKN2A, and CDK1 were highly expressed in AIS and LUAD tissue samples compared to controls. The hub genes were mainly involved in the following pathways: the cell cycle, cellular senescence, and the HIF-1 signaling pathway. Using immunohistochemical slices from the HPA database, we confirmed that these hub genes have a high diagnostic capability for AIS and LUAD. Further, their high expression is associated with poor prognosis. Finally, curcumin was tested as a potential medication using molecular docking modeling. DISCUSSION: Our findings suggest that the hub genes we found in this study contribute to the development and progression of AIS and LUAD by altering the cellular senescence pathway. Thus, they may be promising markers for diagnosis and prognosis. Frontiers Media S.A. 2023-05-17 /pmc/articles/PMC10229805/ /pubmed/37265472 http://dx.doi.org/10.3389/fneur.2023.1119160 Text en Copyright © 2023 Qin, Yang, Chen, Huang, Xu, Qin, Liang, Lai, Huang, Xie and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Qin, Rong-Xing
Yang, Yue
Chen, Jia-Feng
Huang, Li-Juan
Xu, Wei
Qin, Qing-Chun
Liang, Xiao-Jun
Lai, Xin-Yu
Huang, Xiao-Ying
Xie, Min-Shan
Chen, Li
Transcriptomic analysis reveals the potential biological mechanism of AIS and lung adenocarcinoma
title Transcriptomic analysis reveals the potential biological mechanism of AIS and lung adenocarcinoma
title_full Transcriptomic analysis reveals the potential biological mechanism of AIS and lung adenocarcinoma
title_fullStr Transcriptomic analysis reveals the potential biological mechanism of AIS and lung adenocarcinoma
title_full_unstemmed Transcriptomic analysis reveals the potential biological mechanism of AIS and lung adenocarcinoma
title_short Transcriptomic analysis reveals the potential biological mechanism of AIS and lung adenocarcinoma
title_sort transcriptomic analysis reveals the potential biological mechanism of ais and lung adenocarcinoma
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229805/
https://www.ncbi.nlm.nih.gov/pubmed/37265472
http://dx.doi.org/10.3389/fneur.2023.1119160
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