Dataset Information

Molecular differences in the microsatellite stable phenotype between left-sided and right-sided colorectal cancer.

ABSTRACT: Differences in the pathogenesis of microsatellite stable (MSS) sporadic colorectal cancers (CRCs) between left-sided CRC (LC) and right-sided CRC (RC) have not been clarified. To identify pathogenesis-related genomic differences between MSS CRCs within the two locations, we performed a comprehensive molecular analysis using crypt isolation with samples from 92 sporadic CRCs. Microsatellite instability (MSI; high and low/negative) and DNA methylation status (low methylation epigenome; intermediate methylation epigenome [IME] or high methylation epigenome [HME]) were determined using polymerase chain reaction (PCR) microsatellite analysis and PCR-bisulfite pyrosequencing, respectively. Additionally, mutations in the TP53, KRAS, BRAF and PIK3CA genes were examined using PCR-bisulfite pyrosequencing (for KRAS and BRAF mutations) or PCR-single conformation polymorphism (for TP53 and PIK3CA mutations), followed by sequencing of aberrant bands. Finally, a genome-wide study using a copy number alteration (CNA)-targeted single nucleotide polymorphism array was performed. Ninety-two CRCs were classified into 71 MSS and 21 MSI phenotypes. We examined 71 CRCs with the MSS phenotype (LC, 56; RC, 15). Mutations in KRAS were associated with RC with the MSS phenotype, whereas mutations in TP53 were more frequently found in LC with the MSS phenotype. There were significant differences in the frequencies of KRAS and TP53 mutations in the IME between LC and RC with the MSS phenotype. Although CNA gains were associated with LC with the MSS phenotype, CNA losses were not major alterations associated with the MSS phenotype. These findings suggested that the molecular pathogenesis of the MSS phenotype in LC was different from that in RC.

SUBMITTER: Takahashi Y

PROVIDER: S-EPMC5096113 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Molecular differences in the microsatellite stable phenotype between left-sided and right-sided colorectal cancer.

Takahashi Yayoi Y Sugai Tamotsu T Habano Wataru W Ishida Kazuyuki K Eizuka Makoto M Otsuka Koki K Sasaki Akira A Takayuki Matsumoto Morikawa Takanori T Unno Michiaki M Suzuki Hiromu H

International journal of cancer 20161201 11

Differences in the pathogenesis of microsatellite stable (MSS) sporadic colorectal cancers (CRCs) between left-sided CRC (LC) and right-sided CRC (RC) have not been clarified. To identify pathogenesis-related genomic differences between MSS CRCs within the two locations, we performed a comprehensive molecular analysis using crypt isolation with samples from 92 sporadic CRCs. Microsatellite instability (MSI; high and low/negative) and DNA methylation status (low methylation epigenome; intermediat ...[more]

PMID: 27509333

Similar Datasets

Project description:BACKGROUND:In recent years, the differences between left-sided colon cancer (LCC) and right-sided colon cancer (RCC) have received increasing attention due to the clinicopathological variation between them. However, some of these differences have remained unclear and conflicting results have been reported. METHODS:From The Cancer Genome Atlas (TCGA), we obtained RNA sequencing data and gene mutation data on 323 and 283 colon cancer patients, respectively. Differential analysis was firstly done on gene expression data and mutation data between LCC and RCC, separately. Machine learning (ML) methods were then used to select key genes or mutations as features to construct models to classify LCC and RCC patients. Finally, we conducted correlation analysis to identify the correlations between differentially expressed genes (DEGs) and mutations using logistic regression (LR) models. RESULTS:We found distinct gene mutation and expression patterns between LCC and RCC patients and further selected the 30 most important mutations and 17 most important gene expression features using ML methods. The classification models created using these features classified LCC and RCC patients with high accuracy (areas under the curve (AUC) of 0.8 and 0.96 for mutation and gene expression data, respectively). The expression of PRAC1 and BRAF V600E mutation (rs113488022) were the most important feature for each model. Correlations of mutations and gene expression data were also identified using LR models. Among them, rs113488022 was found to have significance relevance to the expression of four genes, and thus should be focused on in further study. CONCLUSIONS:On the basis of ML methods, we found some key molecular differences between LCC and RCC, which could differentiate these two groups of patients with high accuracy. These differences might be key factors behind the variation in clinical features between LCC and RCC and thus help to improve treatment, such as determining the appropriate therapy for patients.

Dataset Information

Molecular differences in the microsatellite stable phenotype between left-sided and right-sided colorectal cancer.

Publications

Molecular differences in the microsatellite stable phenotype between left-sided and right-sided colorectal cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets