ERBB4 promoter polymorphism is associated with poor distant disease-free survival in high-risk early breast cancer

ErbB4 3'-UTR Variant (c.*3622A>G) is Associated with ER/PR Negativity and Advanced Breast Cancer

A genetic variant may alter a gene expression level and as a result be associated with pathological characteristics in breast cancer. In this research, the frequency and association of the ErbB4 3'-untranslated region (3'-UTR) variant, rs12471583 (c.*3622A>G) was studied in an Iranian breast cancer patients. In silico assessment was performed to predict the function of the rs12471583 variant located on the 3'-UTR of ErbB4. Furthermore, as a case-control study, this polymorphism was genotyped in 243 breast cancer patients and non-cancerous controls using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique. The Armitage's trend test and regular association tests were performed to analyze a possible association between the rs12471583 and risk of breast cancer and its relevant pathological traits. The bioinformatics analysis predicted that the rs12471583 SNP is located on the four miRNA binding sites, including miR-511-5p, miR-4659a-5p, miR-4659b-5p, and miR-6830-3p. According to logistic regression tests, the G allele is negatively associated with ER- (OR = 0.20, 95% C.I. = 0.04-0.93, p = 0.026), PR- (OR = 0.31, 95% C.I. = 0.10-0.98, p = 0.039), ER-/PR- (OR = 0.20, 95% C.I. = 0.04-0.93, p = 0.026), and advanced breast cancer (OR = 0.40, 95% C.I. = 0.18-0.85, p = 0.016). It has been found that ErbB4 expression may be linked to unfavorable outcomes in breast cancer. Likewise, our results suggest that the G allele may strengthen miRNA-ErbB4 binding efficiency and as a result reduce expression of ErbB4. This is a possible explanation for the observed association.

A genetic variant of miR-335 binding site in the ERBB4 3'-UTR is associated with prognosis of ovary cancer

Ovarian cancer is one of the leading gynecologic malignancies globally, the 5-year survival rate for patients with advanced stage ovarian cancer is very low. Our objective was to test the hypothesis that miR-335 was associated with the survival of patients with ovarian cancer. Bioinformatics tools and luciferase report assay were used to select the target of miR-335, and real-time PCR was used to detect the expression of miR-335 and ERBB4 in different genotype groups. Finally, Cox regression and Kaplan-Meier analyses were used to assess the relationship of ERBB4 genotype and survival of ovary cancer. Firstly, individuals carried ERBB4 rs186724 GG genotype had poorer overall survival compared with those carried CC/CT genotypes in ovarian cancer, while the participants with rs1836724 GA genotype had the same overall survival with that in participants with rs1836724 AA genotype in accordance with the result of Cox regression and Kaplan-Meier analyses. Then according to result of the in-silicon analysis, ERBB4 was the target of miR-335, and rs1836724 was located on 3'UTR of ERBB4, the binding site of miR-335, and miR-335 inhibited the expression of ERBB4 and this regulation was more suppressed when the G allele replaced by the variant A allele. Finally, miR-335 was similar among GG, GA, and AA groups, and ERBB4 level was higher in GG group. Finally, malignant grade is apparently higher in GG group than the other group. The data indicated that the ERBB4 rs1836724 polymorphism was associated with the survival of ovarian cancer.

Crucial microRNAs and genes of human primary breast cancer explored by microRNA-mRNA integrated analysis

This study aimed to screen potential microRNAs (miRNAs) and genes related to human primary breast cancer. The gene and miRNA expression profile data of GSE19783 was obtained from Gene Expression Omnibus. The matched messenger RNA (mRNA) and miRNA expression profiles of 100 human primary breast cancer samples were chosen for further analysis. The miRNA-gene regulatory modules were screened via iterative multiplicative updating algorithm. The potential functions of genes in modules were predicted by functional and pathway enrichment analysis; meanwhile, the potential functions of miRNAs were predicted by functional enrichment analysis. Furthermore, miRNA-miRNA functional synergistic network and miRNA-miRNA co-regulatory network were constructed. Totally, 16 miRNA-gene modules were screened, containing 222 miRNA-gene interactions. The genes in these modules were mainly related to breast cancer. Genes in module 6 (e.g., SFRP1) were enriched in cell junction assembly; genes in module 8 and 12 (e.g., ESR1 and ERBB4) were significantly implicated in mammary gland alveolus and lobule development. Meanwhile, genes in module 12 (e.g., ERBB4) were enriched in the pathway of endocytosis. Besides, several miRNAs (e.g., miR-375) were enriched in inflammatory cell apoptotic process; some other miRNAs (e.g., miR-139-5p and miR-9) were enriched in response to vitamin D. Additionally, miR-139-5p with several other miRNAs (e.g., miR-9) co-regulated SFRP1; miR-375, miR-592, and miR-135a co-regulated ESR1 and ERBB4. Some miRNAs (e.g., miR-139-5p and miR-9) and their target gene SFRP1, as well as several other miRNAs (e.g., miR-375, miR-592, and miR-135a) and their target genes (e.g., ESR1 and ERBB4), might be crucial in the pathogenesis of primary breast cancer.

ErbB polymorphisms: insights and implications for response to targeted cancer therapeutics

Advances in high-throughput genomic-scanning have expanded the repertory of genetic variations in DNA sequences encoding ErbB tyrosine kinase receptors in humans, including single nucleotide polymorphisms (SNPs), polymorphic repetitive elements, microsatellite variations, small-scale insertions and deletions. The ErbB family members: EGFR, ErbB2, ErbB3, and ErbB4 receptors are established as drivers of many aspects of tumor initiation and progression to metastasis. This knowledge has provided rationales for the development of an arsenal of anti-ErbB therapeutics, ranging from small molecule kinase inhibitors to monoclonal antibodies. Anti-ErbB agents are becoming the cornerstone therapeutics for the management of cancers that overexpress hyperactive variants of ErbB receptors, in particular ErbB2-positive breast cancer and non-small cell lung carcinomas. However, their clinical benefit has been limited to a subset of patients due to a wide heterogeneity in drug response despite the expression of the ErbB targets, attributed to intrinsic (primary) and to acquired (secondary) resistance. Somatic mutations in ErbB tyrosine kinase domains have been extensively investigated in preclinical and clinical setting as determinants for either high sensitivity or resistance to anti-ErbB therapeutics. In contrast, only scant information is available on the impact of SNPs, which are widespread in genes encoding ErbB receptors, on receptor structure and activity, and their predictive values for drug susceptibility. This review aims to briefly update polymorphic variations in genes encoding ErbB receptors based on recent advances in deep sequencing technologies, and to address challenging issues for a better understanding of the functional impact of single versus combined SNPs in ErbB genes to receptor topology, receptor-drug interaction, and drug susceptibility. The potential of exploiting SNPs in the era of stratified targeted therapeutics is discussed.

Genome-wide haplotype association study identifies BLM as a risk gene for prostate cancer in Chinese population

Prostate cancer (PC) is a common malignant tumor that occurs in the prostate epithelial cells. It is generally considered to be caused by both genetic and environmental factors. To identify the genetic risk factors of PC in Chinese population, we carried out a genome-wide haplotype-based association study. The 33 Chinese PC cases were from the public GEO database (GSE18333), and the 139 Chinese controls (CHB) were from the HapMap project. Our analysis included three stages: (1) identifying the linkage disequilibrium (LD) blocks and performing genome-wide haplotype association scan, (2) mapping PC-risk haplotypes to PC candidate genes, and (3) prioritizing PC candidate genes based on their similarity to known PC susceptibility genes. The results showed that (1) 749 haplotypes were significantly associated with PC (P < 1E-5). (2) Then, we mapped these significant haplotypes to genes and got 454 PC candidate genes. (3) After prioritizing the candidate genes based on their similarity to known PC susceptibility genes, we found that seven novel PC susceptibility genes including BLM, RPS6KA2, FRK, ERBB4, RBL1, PAK7, and ERBB2IP. Among the seven genes, BLM gene ranked first (P = 1.89E-04). A haplotype GGTTACCCCTC (rs2270131, rs2073919, rs11073953, rs12592875, rs16944863, rs2238337, rs414634, rs401549, rs17183344, rs16944884, and rs16944888) on chromosome 15q26.1 had significant association with PC (P = 2.37E-11). To our knowledge, this is the first genetic association study to show the significant association between BLM gene and PC susceptibility in Chinese population.