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pmid:33574933

Key genes in youth colorectal cancer based on data mining and verification by reverse transcription-quantitative PCR.

Jianxin Chen · Min Lin · Yan Che · Jian Guo · Wei Lin

Oncology letters · 2021 doi:10.3892/ol.2021.12455

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

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title
Key genes in youth colorectal cancer based on data mining and verification by reverse transcription-quantitative PCR.
doi
10.3892/ol.2021.12455
pmid
33574933
authors array · 5 items
[0]
Jianxin Chen
[1]
Min Lin
[2]
Yan Che
[3]
Jian Guo
[4]
Wei Lin
journal
Oncology letters
year
2021
abstract
In recent years, among all patients with colorectal cancer, the proportion of young patients has been gradually increasing. However, the molecular mechanisms involved in colorectal cancer in the young are largely unknown. In the present study the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas datasets were integrated to elucidate the key gene biomarkers in these patients. The GSE41657 and GSE41258 datasets were downloaded from the GEO database. By screening for differentially expressed genes, Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes pathway analysis, protein-protein interaction analysis, hub gene screening and survival analysis, two key genes, CXCL8 and VEGFA, which were enriched in cancer pathways, were obtained. Reverse transcription-quantitative (RT-q)PCR was performed to verify the outcome obtained by bioinformatics analysis. In conclusion, the present study identified two key genes using bioinformatics analysis and RT-qPCR validation. These results indicated that the candidate genes may be involved in the progression of colorectal cancer in young people, and these two genes may act as ideal prognostic indicators or therapeutic targets for colorectal cancer in the youth.
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GEO2R was used to identify the differentially expressed genes (DEGs) between youth colorectal cancer and normal tissues.
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GEO2R was used to identify the differentially expressed genes (DEGs) between youth colorectal cancer and normal tissues.
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The datasets used during the present study are available from the corresponding author on reasonable request.
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Homo sapiens
title
Gene expression profiling of colorectal normal mucosa, adenoma and adenocarcinoma tissues
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GEO2R was used to identify the differentially expressed genes (DEGs) between youth colorectal cancer and normal tissues.
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key genes using bioinformatics analysis and RT-qPCR validation. These results indicated that the
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In the present study the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas datasets were integrated to elucidate the key gene biomarkers in these patients. The GSE41657 and GSE41258 datasets were downloaded from the GEO database. By screening for differentially expressed genes, Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes pathway analysis, protein-protein interaction analysis, hub gene screening and survival analysis, two key genes, CXCL8 and VEGFA, which were enriched in cancer pathways, were obtained. Reverse transcription-quantitative (RT-q)PCR was performed to verify the outcome obtained by bioinformatics analysis. In conclusion, the present study identified two key genes using bioinformatics analysis and RT-qPCR validation. 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