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基于mRNA的荟萃分析鉴定小细胞肺癌和非小细胞肺癌中的差异表达基因。

Identification of differentially expressed genes in small and non-small cell lung cancer based on meta-analysis of mRNA.

作者信息

Shriwash Nitesh, Singh Prithvi, Arora Shweta, Ali Syed Mansoor, Ali Sher, Dohare Ravins

机构信息

Department of Computer Science, Faculty of Natural Science, Jamia Millia Islamia, New Delhi, 110025, India.

Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, 110025, India.

出版信息

Heliyon. 2019 Jun 14;5(6):e01707. doi: 10.1016/j.heliyon.2019.e01707. eCollection 2019 Jun.

DOI:10.1016/j.heliyon.2019.e01707
PMID:31338439
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6580189/
Abstract

Lung cancer has the lowest survival rate spread globally resulting in a large number of deaths. This is attributed to insufficient measures such as lack of early detection and chemoresistance in the patients. It can be subdivided into two histological groups: Non-Small-Cell Lung Cancer (NSCLC), which is most prevalent (85% of all lung cancers) but less destructive; and Small-Cell Lung Cancer (SCLC), which is intermittently metastatic and less prevalent (15% of all lung cancers). The present study deals with the analysis of gene expression of two subtypes to identify the Differentially Expressed Genes (DEGs). For this study, we selected two datasets from the Omnibus database, which included 50 non-small cell lung cancer samples, 31 small cell lung cancer samples, and 48 samples from normal lung tissue. After DEGs identification using the meta-analysis approach, they were then subjected to further analysis following p-value adjustment via the Benjamini-Hochberg method. We identified 440 overexpressed and 489 underexpressed genes in NSCLC, and 489 overexpressed and 525 underexpressed genes in SCLC, compared with normal lung tissues. Furthermore, we identified 3 overlapping genes between upregulated DEGs in NSCLC and downregulated DEGs in SCLC; and 8 overlapping genes between upregulated DEGs in SCLC and downregulated DEGs in NSCLC. Accordingly, a Protein-Protein Interaction (PPI) network of the overlapping genes was generated, which contained a total of 261 genes, of which the top five were TRIM29, ANK3, CSTA, FGG, and AGR2. These five candidate genes reported herein may prove to be potential therapeutic targets.

摘要

肺癌在全球范围内的生存率最低,导致大量死亡。这归因于一些措施不足,如患者缺乏早期检测以及存在化疗耐药性。它可细分为两个组织学类型:非小细胞肺癌(NSCLC),最为常见(占所有肺癌的85%)但破坏性较小;以及小细胞肺癌(SCLC),具有间歇性转移且不太常见(占所有肺癌的15%)。本研究旨在分析这两种亚型的基因表达,以识别差异表达基因(DEG)。对于本研究,我们从综合数据库中选择了两个数据集,其中包括50个非小细胞肺癌样本、31个小细胞肺癌样本以及48个正常肺组织样本。在使用荟萃分析方法鉴定出DEG后,接着通过Benjamini-Hochberg方法进行p值调整后对其进行进一步分析。与正常肺组织相比,我们在NSCLC中鉴定出440个过表达基因和489个低表达基因,在SCLC中鉴定出489个过表达基因和525个低表达基因。此外,我们在NSCLC中上调的DEG与SCLC中下调的DEG之间鉴定出3个重叠基因;在SCLC中上调的DEG与NSCLC中下调的DEG之间鉴定出8个重叠基因。据此,生成了重叠基因的蛋白质-蛋白质相互作用(PPI)网络,该网络总共包含261个基因,其中排名前五的是TRIM29、ANK3、CSTA、FGG和AGR2。本文报道的这五个候选基因可能被证明是潜在的治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c54/6580189/3edabe855f86/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c54/6580189/718a20cd62db/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c54/6580189/9d738f6d8467/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c54/6580189/3861684b57e7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c54/6580189/50fa80e89f74/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c54/6580189/3edabe855f86/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c54/6580189/718a20cd62db/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c54/6580189/9d738f6d8467/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c54/6580189/3861684b57e7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c54/6580189/50fa80e89f74/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c54/6580189/3edabe855f86/gr5.jpg

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