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

Shamim Sarhadi, View ORCID ProfileAli Salehzadeh-Yazdi, View ORCID ProfileMehdi Damaghi, Nosratallah Zarghami, View ORCID ProfileOlaf Wolkenhauer, View ORCID ProfileHedayatollah Hosseini
doi: https://doi.org/10.1101/2020.04.09.033845
Shamim Sarhadi
1Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
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Ali Salehzadeh-Yazdi
2Department of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany
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Mehdi Damaghi
3Department of Oncologic Sciences, Morsani College of Medicine, University of South Florida, Florida, USA
4Department of Cancer Physiology, Moffitt Cancer Center and Research Institute, Tampa, Florida 33612, USA
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Nosratallah Zarghami
1Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
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Olaf Wolkenhauer
2Department of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany
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Hedayatollah Hosseini
5Experimental Medicine and Therapy Research, University of Regensburg, 93053 Regensburg, Germany
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  • ORCID record for Hedayatollah Hosseini
  • For correspondence: hedayatollah.hosseini@ukr.de
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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, and (ii) metastasis diverges from primary tumor sometimes at the DCIS stage.

Conclusions Our results indicate that malignant potency of breast tumors is constant over pre and post invasive pathological stages. Indeed, further genetic alterations in later stages do not establish de novo malignancy routes; however, they serve to fine-tune antecedent signaling pathways.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted April 11, 2020.
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Omics integration analyses reveal the early evolution of malignancy in breast cancer
Shamim Sarhadi, Ali Salehzadeh-Yazdi, Mehdi Damaghi, Nosratallah Zarghami, Olaf Wolkenhauer, Hedayatollah Hosseini
bioRxiv 2020.04.09.033845; doi: https://doi.org/10.1101/2020.04.09.033845
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Omics integration analyses reveal the early evolution of malignancy in breast cancer
Shamim Sarhadi, Ali Salehzadeh-Yazdi, Mehdi Damaghi, Nosratallah Zarghami, Olaf Wolkenhauer, Hedayatollah Hosseini
bioRxiv 2020.04.09.033845; doi: https://doi.org/10.1101/2020.04.09.033845

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