Apr 11, 2020

Omics integration analyses reveal the early evolution of malignancy in breast cancer

BioRxiv : the Preprint Server for Biology
S. SarhadiHedayatollah Hosseini

Abstract

Background: The majority of cancer evolution studies are done on individual-based approaches that neglect population dynamics necessity for the global picture of cancer evolution in each cancer type. Here, we conducted a population-based study in breast cancer to understand the timing of malignancy evolution and its correlation to the genetic evolution of pathological stages. Results: In an omics integrative approach, we integrated gene expression and genomic aberration data for pre-invasive (DCIS, early-stage) and post-invasive (IDC, late-stage) samples and investigated the evolutionary role of further genetic changes in late stages compared to the early ones. We found that single genetic alterations (SGAs) and copy number alterations (CNAs) conspire together for the fine-tuning of the operating signaling pathways of tumors in forward and backward evolution manners. The forward evolution applies to new genetic changes that boost the efficiency of selected signaling pathways. The backward evolution, which we detected for CNAs, is a mean to reverse unwanted SGAs of earlier stages. Analyses of the integrated point mutation and gene expression data show that (i) our proposed fine-tuning concept is also applicable in metastasis, an...Continue Reading

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