TGFBR1 intralocus epistatic interaction as a risk factor for colorectal cancer

Dissecting the mechanism of colorectal tumorigenesis based on RNA-sequencing data

OBJECTIVE

This study aimed to identify the differentially expressed genes (DEGs), mutated genes and fusion genes in colorectal cancer.

MATERIALS AND METHODS

RNA-sequencing data (ID: SRP009386) from cancerous, paracancerous non-tumor and distant normal tissue from one Chinese patient with stage III colorectal cancer were downloaded from Sequence Read Archive. Quality control was checked using FastQC, followed by sequence alignment against the hg19 reference genome using TopHat v1.3.3. The expression levels were quantified using Cufflinks, followed by DEGs screening using NOISeq. Enrichment analysis was performed using DAVID. Transcription factors were screened using TRANSFA. Mutated loci were identified using SAMTools and VCFTools. Gene fusion events were detected by TopHat-fusion.

RESULTS

In total 2440, 1887 and 834 DEGs were respectively detected in cancerous vs. normal tissue, cancerous vs. paracancerous tissue and paracancerous vs. normal tissue. The up-regulated genes from cancerous and paracancerous tissue compared with normal tissue were enriched in "extracellular matrix receptor interaction" and "focal adhesion pathway" as well as some biological processes except for "negative regulation of programmed cell death" uniquely presenting in cancer. Dysregulated transcription factors including SOX4, BCL6, CEBPB and MSX2 were enriched in the unique biological process. Trp53 was identified with one mutated locus 7577142 (C → T) on chromosome 17. BCL6 also experienced missense mutation. Additionally, COL1A1-PPP2R2C and EXPH5-COL1A2 were observed fusion genes in cancer tissue.

CONCLUSIONS

The unique biological process in cancer tissue may be the cause for colorectal carcinogenesis. The screened transcription factors, mutated genes and fusion genes may contribute to the progression of colorectal cancer.

Association between TGFBR1 polymorphisms and cancer risk: a meta-analysis of 35 case-control studies

Background

Numerous epidemiological studies have evaluated the association between TGFBR1 polymorphisms and the risk of cancer, however, the results remain inconclusive. To derive a more precise estimation of the relation, we conducted a comprehensive meta-analysis of all available case-control studies relating the TGFBR1*6A and IVS7+24G>A polymorphisms of the TGFBR1 gene to the risk of cancer.

Methods

Eligible studies were identified by search of electronic databases. Overall and subgroup analyses were performed. Odds ratio (OR) and 95% confidence interval (CI) were applied to assess the associations between TGFBR1*6A and IVS7+24G>A polymorphisms and cancer risk.

Results

A total of 35 studies were identified, 32 with 19,767 cases and 18,516 controls for TGFBR1*6A polymorphism and 12 with 4,195 cases and 4,383 controls for IVS7+24G>A polymorphism. For TGFBR1*6A, significantly elevated cancer risk was found in all genetic models (dominant OR = 1.11, 95% CI = 1.04∼1.18; recessive: OR = 1.36, 95% CI = 1.11∼1.66; additive: OR = 1.13, 95% CI = 1.05∼1.20). In subgroup analysis based on cancer type, increased cancer risk was found in ovarian and breast cancer. For IVS7+24G>A, significant correlation with overall cancer risk (dominant: OR = 1.39, 95% CI = 1.15∼1.67; recessive: OR = 2.23, 95% CI = 1.26∼3.92; additive: OR = 1.43, 95% CI = 1.14∼1.80) was found, especially in Asian population. In the subgroup analysis stratified by cancer type, significant association was found in breast and colorectal cancer.

Conclusions

Our investigations demonstrate that TGFBR1*6A and IVS7+24G>A polymorphisms of TGFBR1 are associated with the susceptibility of cancer, and further functional research should be performed to explain the inconsistent results in different ethnicities and cancer types.

Molecular basis for population variation: from SNPs to SAPs

Single nucleotide polymorphisms (SNPs) are one type of genomic DNA variations in a population. Correspondingly, single amino-acid polymorphisms (SAPs) derived from non-synonymous SNPs represent protein variations in a population. Recently, using proteomic approaches, SAPs in the plasma proteomes of an Asian population were systematically identified for the first time. That study showed that heterozygous and homozygous proteins with various SAPs have different associations with particular traits in the population. Recent discoveries of widespread differences between RNA and DNA sequences indicate that RNA editing is also a source of SAPs--one that is independent of genomic SNPs. Furthermore, we argue that there are de novo SAPs that are not encoded by either DNA or RNA sequences.