Abstract P2-03-08: Mutational landscape of metaplastic breast carcinomas
Authors: Charlotte KY Ng, Britta Weigelt, Salvatore Piscuoglio, Y  Hannah Wen, Maria R De Filippo, Luciano G Martelotto, Rachael Natrajan, Raymond Lim, Edi Brogi, Larry Norton, Anne Vincent-Salomon, Jorge S Reis-Filho
Journal: Cancer Research (2015)

Abstract Introduction: Metaplastic breast carcinoma (MBC) is an aggressive histologic type of breast cancer, which preferentially displays a triple-negative phenotype. These tumors are characterized by the presence of malignant cells exhibiting differentiation towards squamous epithelium or mesenchymal elements, including spindle, chondroid, osseous and rhabdoid differentiation. Unlike other rare histologic types of breast cancer such as adenoid cystic and secretory carcinomas, which are underpinned by the MYB-NFIB and ETV6-NTRK3 fusion genes respectively, pathognomonic genetic alterations have not been identified in MBC. It has been suggested, however, that the frequency of PIK3CA somatic mutations would be significantly higher in MBCs than in other forms of triple-negative disease. Here we sought to characterize the mutational landscape of MBCs by means of high-depth whole exome sequencing analysis. Material and Methods: Twenty-one triple-negative MBCs were retrieved from the authors’ institutions. Representative sections from frozen blocks were microdissected to ensure tumor cell content greater than 50%. DNA samples extracted from microdissected tumor and matched peripheral blood leukocytes were subjected to high-depth (250x) whole exome sequencing on an Illumina GAIIx or HiSeq2000. Somatic point mutations were called using MuTect and somatic insertions and deletions (indels) were called using Strelka, Varscan2 and Haplotype Caller. Potentially pathogenic mutations were predicted using computational algorithms including PolyPhen-2, Mutation Taster, Mutation Assessor, CHASM and FATHMM. Significantly mutated genes were identified using MutSigCV. Pathway and network enrichment analysis of mutations was performed with Ingenuity Pathway Analysis and HOTNET. The genomic landscape of MBCs was compared with that of triple-negative breast cancers (TNBCs) analyzed as part of The Cancer Genome Atlas project. Results: A mean of 135 somatic non-synonymous point mutations and indels were identified per MBC. The most frequently mutated gene was TP53, found in 12/21 cases (57%), and the only significantly mutated gene as defined by MutSigCV (q&amp;lt;0.01). The repertoire of somatic mutations found in MBCs was qualitatively similar to that of TNBCs of no special type, and recurrently mutated genes were altered at similar frequencies in MBCs and TNBCs of no special type. When somatic mutations were annotated in pathways and networks, MBCs were found to have potentially pathogenic mutations affecting genes directly related to the PI3K pathway, including pathogenic non-synonymous mutations affecting PIK3CA, PIK3R1, PIK3R2, PIK3C2B, PIK3C2G and PTEN, significantly more frequently than TNBCs of no special type (10 out of 21 MBCs vs. 11 out of 62 TNBCs; Fisher's exact test p-value=0.0099). Conclusion: The majority (57%) of MBCs harbored non-synonymous mutations affecting TP53. While the frequencies of mutations affecting recurrently mutated genes in MBCs are similar to those found in other forms of TNBCs, MBCs significantly more frequently harbor mutations affecting PI3K pathway-related genes than TNBCs of no special type. Citation Format: Charlotte KY Ng, Britta Weigelt, Salvatore Piscuoglio, Y Hannah Wen, Maria R De Filippo, Luciano G Martelotto, Rachael Natrajan, Raymond Lim, Edi Brogi, Larry Norton, Anne Vincent-Salomon, Jorge S Reis-Filho. Mutational landscape of metaplastic breast carcinomas [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P2-03-08.