In silico SNP analysis of the breast cancer antigen NY-BR-1Reportar como inadecuado




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BMC Cancer

, 16:901

Systems biology, post-genomic analysis and emerging technologies

Abstract

BackgroundBreast cancer is one of the most common malignancies with increasing incidences every year and a leading cause of death among women. Although early stage breast cancer can be effectively treated, there are limited numbers of treatment options available for patients with advanced and metastatic disease. The novel breast cancer associated antigen NY-BR-1 was identified by SEREX analysis and is expressed in the majority >70% of breast tumors as well as metastases, in normal breast tissue, in testis and occasionally in prostate tissue. The biological function and regulation of NY-BR-1 is up to date unknown.

MethodsWe performed an in silico analysis on the genetic variations of the NY-BR-1 gene using data available in public SNP databases and the tools SIFT, Polyphen and Provean to find possible functional SNPs. Additionally, we considered the allele frequency of the found damaging SNPs and also analyzed data from an in-house sequencing project of 55 breast cancer samples for recurring SNPs, recorded in dbSNP.

ResultsOver 2800 SNPs are recorded in the dbSNP and NHLBI ESP databases for the NY-BR-1 gene. Of these, 65 2.07% are synonymous SNPs, 191 6.09% are non-synoymous SNPs, and 2430 77.48% are noncoding intronic SNPs. As a result, 69 non-synoymous SNPs were predicted to be damaging by at least two, and 16 SNPs were predicted as damaging by all three of the used tools. The SNPs rs200639888, rs367841401 and rs377750885 were categorized as highly damaging by all three tools. Eight damaging SNPs are located in the ankyrin repeat domain ANK, a domain known for its frequent involvement in protein-protein interactions. No distinctive features could be observed in the allele frequency of the analyzed SNPs.

ConclusionConsidering these results we expect to gain more insights into the variations of the NY-BR-1 gene and their possible impact on giving rise to splice variants and therefore influence the function of NY-BR-1 in healthy tissue as well as in breast cancer.

KeywordsNY-BR-1 Breast cancer Antigen SNPs In silico AbbreviationsANKAnkyrin

indelsSmall insertions and deletions

NY-BR-1New York-Breast-1

SEREXSerological cloning strategy

SNPSingle Nucleotide Polymorphism

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Fuente: https://link.springer.com/







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