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利用系统生物学对结肠癌II级向III级转变进行基因表达谱分析。

Gene expression profile analysis of colon cancer grade II into grade III transition by using system biology.

作者信息

Rostami-Nejad Mohammad, Rezaei Tavirani Sina, Mansouri Vahid, Jahani-Sherafat Somayeh, Moravvej Farshi Hamideh

机构信息

Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

出版信息

Gastroenterol Hepatol Bed Bench. 2019 Winter;12(1):60-66.

PMID:30949321
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6441480/
Abstract

AIM

Gene expression profile analysis of colon cancer grade II into grade III transition by using system biology.

BACKGROUND

Colon cancer is one of lethal cancer in men and women. Treatment in advanced colon cancer is difficult and survival rate is low.

METHODS

Gene expression profiles of children patients with non-preforated appendicitis in comparison with the samples with non- appendicitis abdominal pain are analysis via protein - protein interaction PPI and the critical compounds are introduced by STITCH.

RESULTS

Six critical genes including MAPK3, AKT1, SRC, TP53, GAPDH, and ALB were identified as a possible biomarker panel related to colon cancer grade II to III transition. Among these critical genes roles of MAPK3, AKT1, SRC, TP53 are highlighted.

CONCLUSION

It was concluded that target therapy to regulate SRC and TP53 may be the effective therapeutic way to treatment of colon cancer and more researches in necessary to design drugs for these purposes.

摘要

目的

运用系统生物学方法分析结肠癌二级向三级转变的基因表达谱。

背景

结肠癌是男性和女性中致死性癌症之一。晚期结肠癌治疗困难且生存率低。

方法

通过蛋白质-蛋白质相互作用(PPI)分析儿童非穿孔性阑尾炎患者与非阑尾炎腹痛患者样本的基因表达谱,并由STITCH介绍关键化合物。

结果

鉴定出包括MAPK3、AKT1、SRC、TP53、GAPDH和ALB在内的六个关键基因,作为与结肠癌二级向三级转变相关的可能生物标志物组。其中突出了MAPK3、AKT1、SRC、TP53在这些关键基因中的作用。

结论

得出结论,调节SRC和TP53的靶向治疗可能是治疗结肠癌的有效治疗方法,并且需要更多研究来为此目的设计药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abaf/6441480/4b05375b8f44/GHFBB-12-060-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abaf/6441480/fdbb29307eea/GHFBB-12-060-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abaf/6441480/97ac7afd2291/GHFBB-12-060-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abaf/6441480/87febda2e63f/GHFBB-12-060-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abaf/6441480/4b05375b8f44/GHFBB-12-060-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abaf/6441480/fdbb29307eea/GHFBB-12-060-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abaf/6441480/97ac7afd2291/GHFBB-12-060-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abaf/6441480/87febda2e63f/GHFBB-12-060-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abaf/6441480/4b05375b8f44/GHFBB-12-060-g004.jpg

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Quantitation of putative colorectal cancer biomarker candidates in serum extracellular vesicles by targeted proteomics.通过靶向蛋白质组学定量检测血清细胞外囊泡中的结直肠癌候选生物标志物。
Sci Rep. 2017 Oct 6;7(1):12782. doi: 10.1038/s41598-017-13092-x.
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Well-differentiated adenocarcinoma associated with ulcerative colitis.与溃疡性结肠炎相关的高分化腺癌。
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Introduction of inflammatory bowel disease biomarkers panel using protein-protein interaction (PPI) network analysis.利用蛋白质-蛋白质相互作用(PPI)网络分析介绍炎症性肠病生物标志物面板
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