ILANIT 2020

Whole-Genome Sequencing of Breast Cancer Patients Demonstrates Segregation to Two Distinct Mutational Signatures

Gili Perry 1 Smadar Kahana-Edwin 1 Barak Markus 3 Gil Hornung 3 Nora Balint-Lahat 2 Anya Pavlovski 2 Ady Yosepovich 2 Goni Hout-Siloni 1 Jasmine Jacob-Hirsch 1 Miri Sklair-Levy 4,5 Eitan Friedman 5,6 Iris Barshack 2,5 Bella Kaufman 5,7 Einav Nili Gal-Yam 7 Shani Paluch-Shimon 7 Maya Dadiani 1
1Cancer Research Center, Sheba Medical Center, Israel
2Pathology Institute, Sheba Medical Center, Israel
3The Nancy & Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Israel
4Department of Diagnostic Radiology, Sheba Medical Center, Israel
5Sackler Faculty of Medicine, Tel Aviv University, Israel
6The Susanne Levy Gertner Oncogenetics Unit, Sheba Medical Center
7Breast Oncology Institute, Sheba Medical Center, Israel

Mutational processes occurring throughout the genome result in distinct patterns of mutations termed mutational signatures. Although prevalent in cancer genomes, only some of these signatures can be traced back to known mechanisms driving cancer initiation and progression. Distinct breast cancer subtypes require different treatments and carry different outcomes. Characterizing genomic signatures of the various subtypes and understanding their underlying mechanisms may hold clinical opportunities.

We collected biopsies and blood samples from 37 primary breast cancer patients prior to commencement of neoadjuvant chemotherapy administration, sequenced their genomes via whole genome sequencing (WGS) and followed their clinical course post-treatment. Then, we analyzed the genomic data for mutations, copy number alterations, structural variations and mutational signatures.

The resulting profiles of somatic alterations mostly correspond with known breast cancer datasets. However, mutational signature analysis reveals novel findings correlating signatures with specific molecular subtypes. Whereas triple-negative breast cancer patients present mostly and expectedly Signature 3, they lack Signature 5 – which in turn dominates the mutational landscapes of hormone receptor positive patients, absent of Signature 3.

This study demonstrates the segregation of the dominant mutational processes according to breast cancer subtype. Our results suggest that the yet elusive Signature 5 represents an alternative mechanism for mutagenesis and breast cancer initiation, independent of the homologues recombination repair machinery related to Signature 3. Further research is necessary to unfold this mechanism, which may have therapeutic implications in the future.









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