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基于结肠癌中吸引子和串扰的通路分析

Pathway Analysis Based on Attractor and Cross Talk in Colon Cancer.

作者信息

Liu Yanxia, Wang Lin, Wang Bingping, Yue Meng, Cheng Yufeng

机构信息

Department of Radiation Oncology, Qilu Hospital, Shandong University, Jinan, Shandong 250012, China; Department of Oncology, Shengli Oil Central Hospital, Dongying, Shandong 257034, China.

Department of Radiation Oncology, Qilu Hospital, Shandong University, Jinan, Shandong 250012, China.

出版信息

Dis Markers. 2016;2016:2619828. doi: 10.1155/2016/2619828. Epub 2016 Sep 25.

DOI:10.1155/2016/2619828
PMID:27746583
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5056002/
Abstract

Colon cancer is the third and second most common cancer form in men and women worldwide. It is generally accepted that colon cancer mainly results from diet. The aim of this study was to identify core pathways which elucidated the molecular mechanisms in colon cancer. The microarray data of E-GEOD-44861 was downloaded from ArrayExpress database. All human pathways were obtained from Kyoto Encyclopedia of Genes and Genomes database. In total, 135 differential expressed genes (DEG) were identified using Linear Models for Microarray Data package. Differential pathways were identified with the method of attractor after overlapping with DEG. Pathway cross talk network (PCN) was constructed by combining protein-protein interactions and differential pathways. Cross talks of all pathways were obtained in PCN. There were 65 pathways with RankProd (RP) values < 0.05 and 16 pathways with Impact Factors (IF) values > 100. Five pathways were satisfied with value < 0.05, RP values < 0.05, and IF values > 100, which were considered to be the most important pathways in colon cancer. In conclusion, the five pathways were identified in the center status of colon cancer, which may contribute to understanding the mechanism and development of colon cancer.

摘要

结肠癌是全球男性和女性中第三和第二常见的癌症形式。人们普遍认为结肠癌主要由饮食引起。本研究的目的是确定阐明结肠癌分子机制的核心通路。从ArrayExpress数据库下载了E-GEOD-44861的微阵列数据。所有人类通路均从京都基因与基因组百科全书数据库获得。使用微阵列数据线性模型软件包共鉴定出135个差异表达基因(DEG)。通过与DEG重叠后使用吸引子方法鉴定差异通路。通过结合蛋白质-蛋白质相互作用和差异通路构建通路串扰网络(PCN)。在PCN中获得所有通路的串扰情况。有65条通路的秩乘积(RP)值<0.05,16条通路的影响因子(IF)值>100。有五条通路满足 值<0.05、RP值<0.05且IF值>100,这些通路被认为是结肠癌中最重要的通路。总之,这五条通路在结肠癌中处于核心地位,可能有助于理解结肠癌的机制和发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b3b/5056002/d40a0842cdb0/DM2016-2619828.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b3b/5056002/91ea502185d1/DM2016-2619828.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b3b/5056002/869d57b78db0/DM2016-2619828.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b3b/5056002/d40a0842cdb0/DM2016-2619828.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b3b/5056002/91ea502185d1/DM2016-2619828.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b3b/5056002/869d57b78db0/DM2016-2619828.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b3b/5056002/d40a0842cdb0/DM2016-2619828.003.jpg

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本文引用的文献

1
Cancer statistics, 2016.癌症统计数据,2016 年。
CA Cancer J Clin. 2016 Jan-Feb;66(1):7-30. doi: 10.3322/caac.21332. Epub 2016 Jan 7.
2
Crosstalk analysis of pathways in breast cancer using a network model based on overlapping differentially expressed genes.使用基于重叠差异表达基因的网络模型对乳腺癌中的信号通路进行串扰分析。
Exp Ther Med. 2015 Aug;10(2):743-748. doi: 10.3892/etm.2015.2527. Epub 2015 May 27.
3
limma powers differential expression analyses for RNA-sequencing and microarray studies.limma为RNA测序和微阵列研究提供差异表达分析的动力。
百粤 1 号茶花标准化总皂苷通过 AKT-MDM2-p53 信号通路诱导卵巢癌细胞 S 期细胞周期阻滞和凋亡。
Molecules. 2020 Jul 31;25(15):3515. doi: 10.3390/molecules25153515.
4
Survival analysis and functional annotation of long non-coding RNAs in lung adenocarcinoma.肺腺癌中长非编码 RNA 的生存分析和功能注释。
J Cell Mol Med. 2019 Aug;23(8):5600-5617. doi: 10.1111/jcmm.14458. Epub 2019 Jun 18.
Nucleic Acids Res. 2015 Apr 20;43(7):e47. doi: 10.1093/nar/gkv007. Epub 2015 Jan 20.
4
Upregulation of MAPK/Erk and PI3K/Akt pathways in ulcerative colitis-associated colon cancer.溃疡性结肠炎相关结肠癌中MAPK/Erk和PI3K/Akt信号通路的上调
Biomed Pharmacother. 2014 Oct;68(8):1023-9. doi: 10.1016/j.biopha.2014.09.006. Epub 2014 Sep 29.
5
Caffeic acid derivatives inhibit the growth of colon cancer: involvement of the PI3-K/Akt and AMPK signaling pathways.咖啡酸衍生物抑制结肠癌生长:PI3-K/Akt和AMPK信号通路的参与
PLoS One. 2014 Jun 24;9(6):e99631. doi: 10.1371/journal.pone.0099631. eCollection 2014.
6
Ilimaquinone induces death receptor expression and sensitizes human colon cancer cells to TRAIL-induced apoptosis through activation of ROS-ERK/p38 MAPK-CHOP signaling pathways.伊利马醌通过激活ROS-ERK/p38 MAPK-CHOP信号通路诱导死亡受体表达,并使人结肠癌细胞对TRAIL诱导的凋亡敏感。
Food Chem Toxicol. 2014 Sep;71:51-9. doi: 10.1016/j.fct.2014.06.001. Epub 2014 Jun 12.
7
Germline variation in NCF4, an innate immunity gene, is associated with an increased risk of colorectal cancer.NCF4 种系变异与结直肠癌风险增加有关,NCF4 是一种先天免疫基因。
Int J Cancer. 2014 Mar 15;134(6):1399-407. doi: 10.1002/ijc.28457. Epub 2013 Nov 14.
8
STRING v9.1: protein-protein interaction networks, with increased coverage and integration.STRING v9.1:蛋白质-蛋白质相互作用网络,具有更高的覆盖度和集成度。
Nucleic Acids Res. 2013 Jan;41(Database issue):D808-15. doi: 10.1093/nar/gks1094. Epub 2012 Nov 29.
9
Pathway crosstalk analysis based on protein-protein network analysis in prostate cancer.基于前列腺癌蛋白质-蛋白质网络分析的通路串扰分析。
Eur Rev Med Pharmacol Sci. 2012 Sep;16(9):1235-42.
10
Integrating gene expression and protein-protein interaction network to prioritize cancer-associated genes.整合基因表达和蛋白质-蛋白质相互作用网络,以确定与癌症相关的基因。
BMC Bioinformatics. 2012 Jul 28;13:182. doi: 10.1186/1471-2105-13-182.