Literature DB >> 29696646

Gene expression differences among different MSI statuses in colorectal cancer.

Lei Chen1,2, Xiaoyong Pan3, XiaoHua Hu4, Yu-Hang Zhang5, ShaoPeng Wang1, Tao Huang5, Yu-Dong Cai1.   

Abstract

Colorectal cancer is the third most common cancer in males and second in females. This disease can be caused by genetic and acquired/environmental factors. Microsatellite instability (MSI) is one of the major mechanisms in colorectal cancer. This mechanism is a specific condition of genetic hyper mutability that results from incompetent DNA mismatch repair. MSI has been applied to classify different colorectal cancer subtypes. However, the effects of MSI status on gene expression are largely unknown. In our study, we integrated the gene expression profile and MSI status of all CRC samples from the TCGA database, and then categorized the CRC samples into three subgroups, namely, MSI-stable, MSI-low, and MSI-high, according to the MSI status. We applied a novel computational method based on machine learning and screened the genes specifically expressed for the different colorectal cancer subtypes. The results showed the distinct mechanisms of the different colorectal cancer subtypes with MSI status and provided the genes that may be the optimal standards to further classify the various molecular subtypes of colorectal cancer with distinct MSI status.
© 2018 UICC.

Entities:  

Keywords:  colorectal cancer; mRMR; microsatellite instability; support vector machine

Mesh:

Substances:

Year:  2018        PMID: 29696646     DOI: 10.1002/ijc.31554

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  28 in total

1.  Integration of gene expression data identifies key genes and pathways in colorectal cancer.

Authors:  Hossein Hozhabri; Ali Lashkari; Seyed-Morteza Razavi; Ali Mohammadian
Journal:  Med Oncol       Date:  2021-01-07       Impact factor: 3.064

2.  CircTBL1XR1/miR-424 axis regulates Smad7 to promote the proliferation and metastasis of colorectal cancer.

Authors:  Na Li
Journal:  J Gastrointest Oncol       Date:  2020-10

Review 3.  Role of AI and digital pathology for colorectal immuno-oncology.

Authors:  Mohsin Bilal; Mohammed Nimir; David Snead; Graham S Taylor; Nasir Rajpoot
Journal:  Br J Cancer       Date:  2022-10-01       Impact factor: 9.075

4.  Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine.

Authors:  JiaRui Li; Lin Lu; Yu-Hang Zhang; YaoChen Xu; Min Liu; KaiYan Feng; Lei Chen; XiangYin Kong; Tao Huang; Yu-Dong Cai
Journal:  Cancer Gene Ther       Date:  2019-05-29       Impact factor: 5.987

5.  Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.

Authors:  Shiqi Zhang; Tao Zeng; Bin Hu; Yu-Hang Zhang; Kaiyan Feng; Lei Chen; Zhibin Niu; Jianhao Li; Tao Huang; Yu-Dong Cai
Journal:  Front Bioeng Biotechnol       Date:  2020-05-26

6.  Identification and Analysis of Dysfunctional Genes and Pathways in CD8+ T Cells of Non-Small Cell Lung Cancer Based on RNA Sequencing.

Authors:  Xuefang Tao; Xiaotang Wu; Tao Huang; Deguang Mu
Journal:  Front Genet       Date:  2020-05-08       Impact factor: 4.599

7.  Machine learning analysis of TCGA cancer data.

Authors:  Jose Liñares-Blanco; Alejandro Pazos; Carlos Fernandez-Lozano
Journal:  PeerJ Comput Sci       Date:  2021-07-12

8.  Use of Laplacian Heat Diffusion Algorithm to Infer Novel Genes With Functions Related to Uveitis.

Authors:  Shiheng Lu; Ke Zhao; Xuefei Wang; Hui Liu; Xiamuxiya Ainiwaer; Yan Xu; Min Ye
Journal:  Front Genet       Date:  2018-10-08       Impact factor: 4.599

9.  Tissue Expression Difference between mRNAs and lncRNAs.

Authors:  Lei Chen; Yu-Hang Zhang; Xiaoyong Pan; Min Liu; Shaopeng Wang; Tao Huang; Yu-Dong Cai
Journal:  Int J Mol Sci       Date:  2018-10-31       Impact factor: 5.923

10.  A Computational Method for Classifying Different Human Tissues with Quantitatively Tissue-Specific Expressed Genes.

Authors:  JiaRui Li; Lei Chen; Yu-Hang Zhang; XiangYin Kong; Tao Huang; Yu-Dong Cai
Journal:  Genes (Basel)       Date:  2018-09-07       Impact factor: 4.096

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