Genetic alterations in sporadic triple negative breast cancer. (April 2018)

• Record Type: Journal Article
• Authors: Pop, Laura-Ancuta; Cojocneanu-Petric, Roxana-Maria; Pileczki, Valentina; Morar-Bolba, Gabriela; Irimie, Alexandru; Lazar, Vladimir; Lombardo, Claudio; Paradiso, Angelo; Berindan-Neagoe, Ioana
• Is Part Of: Breast. Volume 38(2018)
• Page Start: 30
• Page End: 38
• Publication Date: 2018-04
• Subjects: Triple negative breast cancer -- Somatic mutation -- Next generation sequencing -- Resistance to therapy -- Precision medicine -- BRCA1/2 mutations; Breast -- Diseases -- Periodicals; Breast -- Tumors -- Periodicals; Breast -- Periodicals; Electronic journals; Periodicals; 616
• DOI: 10.1016/j.breast.2017.11.006
• Languages: English
• ISSNs: 0960-9776

Abstract

Abstract: Background: Recent studies have aimed to identify gene mutation profiles to explain the cause of TNBC therapy limitations. Methods: The purpose of our study was to use Next Generation Sequencing (NGS) of 46 genes with a well-defined role in cancer in a cohort of TNBC patients in order to identify novel markers that could lead to the development of strategic, adjuvant, gene-targeted therapies. Results: A total of 118 gene mutations in 35 genes, 75 mutations in BRCA1 and 92 mutations in BRCA2 were identified. The clinical assessment of the identified mutations showed 27 to be possibly damaging and 59 to be damaging. TP53, KDR, PIK3CA (rs3729687), ATM, AKT1 and KIT were among the most frequently mutated genes in our TNBC cohort. The SNP AKT1 (rs3730358) was suggested to modify the risk of breast cancer. SNP PIK3CA (rs3729687) is a damaging mutation that we found to be correlated with the prognosis of TNBC. The survival curve analysis showed that the presence of AKT1, TP53, KDR, KIT, BRCA1 and BRCA2 mutations is correlated with a poor prognosis. Conclusion: We show a strong association between TNBC and mutations in BRCA1/2 genes and the poor outcome of these patients. Moreover, we identified several other unknown mutations putatively associated with the poor prognosis of TNBC tumors. We also discovered novel mutations never before associated with breast cancer that could putatively account for the poor prognosis of the TNBC tumors. Highlights: Triple negative breast cancer samples were sequenced using a 46-gene panel and BRCA1/2. Eight mutations were validated using Taq Man Genotyping assays. A statistically significant correlation was observed between the presence of KDR, AKT1, BRCA1 and BRCA2 mutation. The survival curve analysis showed that the presence of AKT1, TP53, KDR, KIT, BRCA1 and BRCA2 mutations is correlated with a poor prognosis. A statistically significant correlation was observed between tumor size and TP53 mutation and between BRCA2 mutations and death.