Literature DB >> 30016783

Distinguishable Prognostic Signatures of Left- and Right-Sided Colon Cancer: a Study Based on Sequencing Data.

Liang Liang1, Jiang-Hui Zeng2, Xin-Gan Qin1, Jun-Qiang Chen1, Dian-Zhong Luo2, Gang Chen2.   

Abstract

BACKGROUND/AIMS: Left- and right-sided colon cancers are considered to be two different diseases and have altered outcomes. However, specific molecules to predict the prognosis of left- and right-sided colon cancers are currently lacking.
METHODS: Expression profiling of colon cancer were downloaded from The Cancer Genome Atlas (TCGA). Differentially expressed genes (DEGs) of left- and right-sided colon cancers were compared by DESeq analysis. The prognostic values of DEGs were assessed by univariate and multivariate Cox regression. Prognostic index models of two side colon cancers were conducted with prognostic values genes, respectively. Interaction of DEGs was then analyzed by the protein-protein interaction (PPI). Different biology function of two sides of colon cancer was assessed by Gene Set Enrichment Analysis (GSEA).
RESULTS: A total of 167 DEGs were identified between left- and right-sided colon cancers based on TCGA data. Using univariate COX regression analysis, five genes (PHACTR3, CKMT2, CYP2W1, ERFE, HOXC4) were related to overall survival in left-sided, and eight distinguishable genes (EREG, ERFE, HOXC6, SLC22A31, TFF1, GFI1, ZG16, RASL10B) in right-sided. Further, left-sided prognostic model was established with PHACTR3 and CKMT2 (HR=2.040; 95%CI=1.004-4.145; P=0.049). Distinguishable prognostic signature for right-sided colon cancer was established based on EREG, ERFE, GFI1, and RASL10B (HR=3.530; 95%CI: 1.934-6.444; P< 0.001) in multivariate analysis. PPI analysis of 167 DEGs showed that CCL5, GNG4, GNLY, GZMH, DRD2, and FASLG genes were at the core of interaction network. In GSEA function analysis, four pathways, including antigen processing and presentation, natural killer cell mediated cytotoxicity, intestinal immune network for Iga production, and type I diabetes mellitus, were significantly enriched in the DEGs of the right-sided colon cancer.
CONCLUSIONS: This study constructs a panel of potential prognostic model of left- and right-sided colon cancers, respectively. We also provide molecular biological alterations between left- and right-sided colon cancers.
© 2018 The Author(s). Published by S. Karger AG, Basel.

Entities:  

Keywords:  Colon cancer; Left- and right-sided; Prognosis; TCGA

Mesh:

Substances:

Year:  2018        PMID: 30016783     DOI: 10.1159/000491778

Source DB:  PubMed          Journal:  Cell Physiol Biochem        ISSN: 1015-8987


  23 in total

1.  Radioembolization With Chemotherapy for Colorectal Liver Metastases: A Randomized, Open-Label, International, Multicenter, Phase III Trial.

Authors:  Mary F Mulcahy; Armeen Mahvash; Marc Pracht; Amir H Montazeri; Steve Bandula; Robert C G Martin; Ken Herrmann; Ewan Brown; Darryl Zuckerman; Gregory Wilson; Tae-You Kim; Andrew Weaver; Paul Ross; William P Harris; Janet Graham; Jamie Mills; Alfonso Yubero Esteban; Matthew S Johnson; Constantinos T Sofocleous; Siddharth A Padia; Robert J Lewandowski; Etienne Garin; Philip Sinclair; Riad Salem
Journal:  J Clin Oncol       Date:  2021-09-20       Impact factor: 44.544

2.  Oncological impact of vascular invasion in colon cancer might differ depending on tumor sidedness.

Authors:  Moamen Shalkamy Abdelgawaad Shalkamy; Jung Hoon Bae; Chul Seung Lee; Seung Rim Han; Ji Hoon Kim; Bong-Hyeon Kye; In Kyu Lee; Yoon Suk Lee
Journal:  J Minim Invasive Surg       Date:  2022-06-15

3.  A nine-gene signature to improve prognosis prediction of colon carcinoma.

Authors:  Jinlai Zhao; Yigang Wang; Jianchao Gao; Yang Wang; Xuan Zhong; Xiaotang Wu; Hua Li
Journal:  Cell Cycle       Date:  2021-05-14       Impact factor: 4.534

4.  AURKB: a promising biomarker in clear cell renal cell carcinoma.

Authors:  Bangbei Wan; Yuan Huang; Bo Liu; Likui Lu; Cai Lv
Journal:  PeerJ       Date:  2019-09-16       Impact factor: 2.984

5.  Development and validation of a prognostic nomogram for early-onset colon cancer.

Authors:  Chaoran Yu; Yujie Zhang
Journal:  Biosci Rep       Date:  2019-06-20       Impact factor: 3.840

6.  A predicted risk score based on the expression of 16 autophagy-related genes for multiple myeloma survival.

Authors:  Fang-Xiao Zhu; Xiao-Tao Wang; Hui-Qiong Zeng; Zhi-Hua Yin; Zhi-Zhong Ye
Journal:  Oncol Lett       Date:  2019-09-19       Impact factor: 2.967

7.  Identification of genes of prognostic value in the ccRCC microenvironment from TCGA database.

Authors:  Bangbei Wan; Bo Liu; Yuan Huang; Cai Lv
Journal:  Mol Genet Genomic Med       Date:  2020-02-03       Impact factor: 2.183

8.  Screening and Identification of Differentially Expressed Genes Expressed among Left and Right Colon Adenocarcinoma.

Authors:  Jing Han; Xue Zhang; Yang Yang; Li Feng; Gui-Ying Wang; Nan Zhang
Journal:  Biomed Res Int       Date:  2020-01-21       Impact factor: 3.411

9.  Identification of prognostic genes in the acute myeloid leukemia microenvironment.

Authors:  Shaoxin Huang; Biyu Zhang; Wenyan Fan; Qihan Zhao; Lei Yang; Wang Xin; Denggang Fu
Journal:  Aging (Albany NY)       Date:  2019-11-18       Impact factor: 5.682

10.  Cytotoxic T-lymphocyte Antigen-4 (CTLA-4) Gene Polymorphism (rs3087243) Is Related to Risk and Survival in Patients With Colorectal Cancer.

Authors:  Song VAN Nguyen; Levar Shamoun; Kalle Landerholm; Roland E Andersson; Dick Wagsater; Jan Dimberg
Journal:  In Vivo       Date:  2021 Mar-Apr       Impact factor: 2.155

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.