CROSS-SECTIONAL STUDY OF GENE EXPRESSION ANALYSIS IDENTIFIES CRITICALBIOLOGICAL PATHWAYS AND KEY GENES IMPLICATED IN NON-SMALL CELL LUNGCANCER

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WANG TONGLIAN; HU JING; XU LUTONG; ZHAO HONGBO; LI YUANYUE; SHOU TAO; XIA XUESHAN; CHEN QIANG

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Journal: Iranian Red Crescent Medical Journal Year:2018 | Volume:20 | Issue:3 Page(s): 0-0

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Title

CROSS-SECTIONAL STUDY OF GENE EXPRESSION ANALYSIS IDENTIFIES CRITICALBIOLOGICAL PATHWAYS AND KEY GENES IMPLICATED IN NON-SMALL CELL LUNGCANCER

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Keywords

CANCER

CARCINOGENESIS

CRITICAL PATHWAYS

GENE EXPRESSION PROFILING

LUNG

NEOPLASMS CANCER

PROFILING

Abstract

Background: Non-small cell LUNG CANCER (NSCLC) is the most common type of LUNG Neoplasms, which accounts for about 85% of alllung CANCER types. However, critical biological pathways and key genes implicated in NSCLC remain ambiguous. Objectives: The present study aimed at identifying the critical biological pathways and key genes implicated in NSCLC, and providinginsight into the molecular mechanism underlying NSCLC. Methods: In this case-control bioinformatics study, the researchers used four microarray data of NSCLC from public gene expressionomnibus (GEO) database at the national center for biotechnology information (NCBI) website. The microarray data came fromstudies of American, Spanish, and Taiwanese NSCLC patients, and in total contained 190 NSCLC tissue and 180 normal LUNG tissue. A standardized-microarray preprocessing and gene set enrichment analysis (GSEA) were used to analyze each microarray data andobtained significantly regulated pathways. Venn analysis was used to identify the common significantly regulated biological pathways. Protein and protein interaction (PPI) network analysis was used to identify the key genes within common significantly regulatedpathways. The PPI information was retrieved from the STRING database, and Cytoscape software was used to construct andvisualize the PPI network. Results: Through integrating GSEA results of four microarray data, finally, the researchers identified 22 common up-regulated and85 common down-regulated pathways. Many genes within 107 common significantly regulated pathways were significantly enrichedwithin cell cycle pathway (P value of 2. 58e-79) and focal adhesion pathway (P value of 2. 44e-81). The PPI network showed thatup-regulated CDK1 (P value = 1. 33e-18 and logFC = 1. 41) and down-regulated PIK3R1 (P value = 5. 09e-22 and logFC =-1. 13) genes sharedthe most abundant edges, and were associated with NSCLC. Conclusions: This cross-sectional study showed increased concordance between PROFILING/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank"> GENE EXPRESSION PROFILING data. These identifiedpathways and genes provide some insight into the molecular mechanisms of NSCLC, and the genes may serve as candidate diagnosticand therapeutic targets of NSCLC.

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APA: Copy

WANG, TONGLIAN, HU, JING, XU, LUTONG, ZHAO, HONGBO, LI, YUANYUE, SHOU, TAO, XIA, XUESHAN, & CHEN, QIANG. (2018). CROSS-SECTIONAL STUDY OF GENE EXPRESSION ANALYSIS IDENTIFIES CRITICALBIOLOGICAL PATHWAYS AND KEY GENES IMPLICATED IN NON-SMALL CELL LUNGCANCER. IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ), 20(3), 0-0. SID. https://sid.ir/paper/293706/en

Vancouver: Copy

WANG TONGLIAN, HU JING, XU LUTONG, ZHAO HONGBO, LI YUANYUE, SHOU TAO, XIA XUESHAN, CHEN QIANG. CROSS-SECTIONAL STUDY OF GENE EXPRESSION ANALYSIS IDENTIFIES CRITICALBIOLOGICAL PATHWAYS AND KEY GENES IMPLICATED IN NON-SMALL CELL LUNGCANCER. IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ)[Internet]. 2018;20(3):0-0. Available from: https://sid.ir/paper/293706/en

IEEE: Copy

TONGLIAN WANG, JING HU, LUTONG XU, HONGBO ZHAO, YUANYUE LI, TAO SHOU, XUESHAN XIA, and QIANG CHEN, “CROSS-SECTIONAL STUDY OF GENE EXPRESSION ANALYSIS IDENTIFIES CRITICALBIOLOGICAL PATHWAYS AND KEY GENES IMPLICATED IN NON-SMALL CELL LUNGCANCER,” IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ), vol. 20, no. 3, pp. 0–0, 2018, [Online]. Available: https://sid.ir/paper/293706/en

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