%0 Journal Article
%T Cancer Susceptibility for Male Breast Cancer Assessed by SNP-A Analysis and Risk Alleles of <i>TP</i>53, <i>MDM</i>2, <i>VEGF</i>, <i>VEGFR</i>1, <i>HIF</i>1<i>A</i> and <i>BRCA</i>1
%A Sarika Sharma
%A Vasudha Sambyal
%A Kamlesh Guleria
%A Ruhi Kapahi
%A Neeti Rajan Singh
%A Mridu Manjari
%J Advances in Breast Cancer Research
%P 218-233
%@ 2168-1597
%D 2021
%I Scientific Research Publishing
%R 10.4236/abcr.2021.104018
%X Male Breast Cancer (MBC) has a familial component
thus identification of polymorphic risk alleles of candidate genes and/or
cytogenetic anomalies may help to predict the risk for the offspring of MBC
patients. The conventional metaphase cytogenetics can indicate loci that are
hotspots while analysis by single nucleotide polymorphism arrays (SNP-A) can
identify chromosomal <span style=\"font-family:Verdana;\">defects which may play
a role in the etiology of cancer. A cumulative geno</span><span style=\"font-family:Verdana;\">type risk due to each
allele of candidate genes of the signaling pathways regulating </span><i><span style=\"font-family:Verdana;\">c</span></i><span><span style=\"font-family:Verdana;\">-</span><i><span style=\"font-family:Verdana;\">MYC, HIF</span></i><span style=\"font-family:Verdana;\">1</span><i><span style=\"font-family:Verdana;\">A</span></i></span><span style=\"font-family:Verdana;\">, </span><i><span style=\"font-family:Verdana;\">TP</span></i><span><span style=\"font-family:Verdana;\">53</span><i> </i></span><span style=\"font-family:Verdana;\">and</span><i><span style=\"font-family:Verdana;\"> BRCA</span></i><span><span style=\"font-family:Verdana;\">1</span><i> </i></span><span style=\"font-family:Verdana;\">may be a factor facilitating
cancer </span><span style=\"font-family:Verdana;\">development. Cancer risk was assessed
in a 35-year-old healthy son of a</span><span style=\"font-family:Verdana;\"> 60-year-old </span><span style=\"font-family:Verdana;\">MBC patient with a family history of cancer by metaphase cytogenetics, </span><span style=\"font-family:Verdana;\">SNP-A </span><span><span style=\"font-family:Verdana;\">and analysis of 25 polymorphisms in six
genes</span><b><i> </i></b><i><span style=\"font-family:Verdana;\">TP</span></i><span style=\"font-family:Verdana;\">53, </span><i><span style=\"font-family:Verdana;\">MDM</span></i><span style=\"font-family:Verdana;\">2</span><i><span style=\"font-family:Verdana;\">, VEGF,</span></i></span><i><span style=\"font-family:Verdana;\"> VEGFR</span></i><span style=\"font-family:Verdana;\">1, </span><i><span style=\"font-family:Verdana;\">HIF</span></i><span><span style=\"font-family:Verdana;\">1</span><i><span style=\"font-family:Verdana;\">A</span></i><span style=\"font-family:Verdana;\">, and </span><i><span style=\"font-family:Verdana;\">BRCA</span></i><span style=\"font-family:Verdana;\">1. The risk genotype GG-TT of </span><i><span style=\"font-family:Verdana;\">MDM</span></i><span style=\"font-family:Verdana;\">2 309T &gt; G and</span></span><span> <i><span
%K Breast Cancer
%K Aneuploidy
%K Polymorphism
%K CN-LOH
%K SNP-A
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=112845