Cargando…

Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis

BACKGROUND: This study was carried out to discover the underlying role that HOXA11 plays in lung squamous cancer (LUSC) and uncover the potential corresponding molecular mechanisms and functions of HOXA11-related genes. METHODS: Twenty-three clinical paired LUSC and non-LUSC samples were utilized to...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Rui, Zhang, Tong-tong, Zhai, Gao-qiang, Guo, Xian-yu, Qin, Yuan, Gan, Ting-qing, Zhang, Yu, Chen, Gang, Mo, Wei-jia, Feng, Zhen-bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006563/
https://www.ncbi.nlm.nih.gov/pubmed/29914539
http://dx.doi.org/10.1186/s12957-018-1375-9
_version_ 1783332860134948864
author Zhang, Rui
Zhang, Tong-tong
Zhai, Gao-qiang
Guo, Xian-yu
Qin, Yuan
Gan, Ting-qing
Zhang, Yu
Chen, Gang
Mo, Wei-jia
Feng, Zhen-bo
author_facet Zhang, Rui
Zhang, Tong-tong
Zhai, Gao-qiang
Guo, Xian-yu
Qin, Yuan
Gan, Ting-qing
Zhang, Yu
Chen, Gang
Mo, Wei-jia
Feng, Zhen-bo
author_sort Zhang, Rui
collection PubMed
description BACKGROUND: This study was carried out to discover the underlying role that HOXA11 plays in lung squamous cancer (LUSC) and uncover the potential corresponding molecular mechanisms and functions of HOXA11-related genes. METHODS: Twenty-three clinical paired LUSC and non-LUSC samples were utilized to examine the level of HOXA11 using quantitative real-time polymerase chain reaction (qRT-PCR). The clinical significance of HOXA11 was systematically analyzed based on 475 LUSC and 18 non-cancerous adjacent tissues from The Cancer Genome Atlas (TCGA) database. A total of 102 LUSC tissues and 121 non-cancerous tissues were available from Oncomine to explore the expressing profiles of HOXA11 in LUSC. A meta-analysis was carried out to further assess the differential expression of HOXA11 in LUSC, including in-house qRT-PCR data, expressing data extracted from TCGA and Oncomine databases. Moreover, the enrichment analysis and potential pathway annotations of HOXA11 in LUSC were accomplished via Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The expression of hub genes and according correlations with HOXA11 were assessed to further explore the biological role of HOXA11 in LUSC. RESULTS: HOXA11 expression in LUSC had a tendency to be upregulated in comparison to adjacent non-cancerous tissues by qRT-PCR. TCGA data displayed that HOXA11 was remarkably over-expressed in LUSC compared with that in non-LUSC samples, and the area under curves (AUC) was 0.955 (P < 0.001). A total of 1523 co-expressed genes were sifted for further analysis. The most significant term enriched in the KEGG pathway was focal adhesion. Among the six hub genes of HOXA11, including PARVA, ILK, COL4A1, COL4A2, ITGB1, and ITGA5, five (with the exception of COL4A1) were significantly decreased compared with the normal lung tissues. Moreover, the expression of ILK was negatively related to HOXA11 (r = − 0.141, P = 0.002). CONCLUSION: High HOXA11 expression may lead to carcinogenesis and the development of LUSC. Furthermore, co-expressed genes might affect the prognosis of LUSC.
format Online
Article
Text
id pubmed-6006563
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-60065632018-06-26 Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis Zhang, Rui Zhang, Tong-tong Zhai, Gao-qiang Guo, Xian-yu Qin, Yuan Gan, Ting-qing Zhang, Yu Chen, Gang Mo, Wei-jia Feng, Zhen-bo World J Surg Oncol Research BACKGROUND: This study was carried out to discover the underlying role that HOXA11 plays in lung squamous cancer (LUSC) and uncover the potential corresponding molecular mechanisms and functions of HOXA11-related genes. METHODS: Twenty-three clinical paired LUSC and non-LUSC samples were utilized to examine the level of HOXA11 using quantitative real-time polymerase chain reaction (qRT-PCR). The clinical significance of HOXA11 was systematically analyzed based on 475 LUSC and 18 non-cancerous adjacent tissues from The Cancer Genome Atlas (TCGA) database. A total of 102 LUSC tissues and 121 non-cancerous tissues were available from Oncomine to explore the expressing profiles of HOXA11 in LUSC. A meta-analysis was carried out to further assess the differential expression of HOXA11 in LUSC, including in-house qRT-PCR data, expressing data extracted from TCGA and Oncomine databases. Moreover, the enrichment analysis and potential pathway annotations of HOXA11 in LUSC were accomplished via Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The expression of hub genes and according correlations with HOXA11 were assessed to further explore the biological role of HOXA11 in LUSC. RESULTS: HOXA11 expression in LUSC had a tendency to be upregulated in comparison to adjacent non-cancerous tissues by qRT-PCR. TCGA data displayed that HOXA11 was remarkably over-expressed in LUSC compared with that in non-LUSC samples, and the area under curves (AUC) was 0.955 (P < 0.001). A total of 1523 co-expressed genes were sifted for further analysis. The most significant term enriched in the KEGG pathway was focal adhesion. Among the six hub genes of HOXA11, including PARVA, ILK, COL4A1, COL4A2, ITGB1, and ITGA5, five (with the exception of COL4A1) were significantly decreased compared with the normal lung tissues. Moreover, the expression of ILK was negatively related to HOXA11 (r = − 0.141, P = 0.002). CONCLUSION: High HOXA11 expression may lead to carcinogenesis and the development of LUSC. Furthermore, co-expressed genes might affect the prognosis of LUSC. BioMed Central 2018-06-18 /pmc/articles/PMC6006563/ /pubmed/29914539 http://dx.doi.org/10.1186/s12957-018-1375-9 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Zhang, Rui
Zhang, Tong-tong
Zhai, Gao-qiang
Guo, Xian-yu
Qin, Yuan
Gan, Ting-qing
Zhang, Yu
Chen, Gang
Mo, Wei-jia
Feng, Zhen-bo
Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis
title Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis
title_full Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis
title_fullStr Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis
title_full_unstemmed Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis
title_short Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis
title_sort evaluation of the hoxa11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006563/
https://www.ncbi.nlm.nih.gov/pubmed/29914539
http://dx.doi.org/10.1186/s12957-018-1375-9
work_keys_str_mv AT zhangrui evaluationofthehoxa11levelinpatientswithlungsquamouscancerandinsightsintopotentialmolecularpathwaysviabioinformaticsanalysis
AT zhangtongtong evaluationofthehoxa11levelinpatientswithlungsquamouscancerandinsightsintopotentialmolecularpathwaysviabioinformaticsanalysis
AT zhaigaoqiang evaluationofthehoxa11levelinpatientswithlungsquamouscancerandinsightsintopotentialmolecularpathwaysviabioinformaticsanalysis
AT guoxianyu evaluationofthehoxa11levelinpatientswithlungsquamouscancerandinsightsintopotentialmolecularpathwaysviabioinformaticsanalysis
AT qinyuan evaluationofthehoxa11levelinpatientswithlungsquamouscancerandinsightsintopotentialmolecularpathwaysviabioinformaticsanalysis
AT gantingqing evaluationofthehoxa11levelinpatientswithlungsquamouscancerandinsightsintopotentialmolecularpathwaysviabioinformaticsanalysis
AT zhangyu evaluationofthehoxa11levelinpatientswithlungsquamouscancerandinsightsintopotentialmolecularpathwaysviabioinformaticsanalysis
AT chengang evaluationofthehoxa11levelinpatientswithlungsquamouscancerandinsightsintopotentialmolecularpathwaysviabioinformaticsanalysis
AT moweijia evaluationofthehoxa11levelinpatientswithlungsquamouscancerandinsightsintopotentialmolecularpathwaysviabioinformaticsanalysis
AT fengzhenbo evaluationofthehoxa11levelinpatientswithlungsquamouscancerandinsightsintopotentialmolecularpathwaysviabioinformaticsanalysis