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Omics Integration Analyses Reveal the Early Evolution of Malignancy in Breast Cancer

Sarhadi, Shamim ; Salehzadeh-Yazdi, Ali ; Damaghi, Mehdi ; Zarghami, Nosratollah ; Wolkenhauer, Olaf ; Hosseini, Hedayatollah
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Date of publication of this fulltext: 17 Jun 2020 15:23


Abstract

The majority of cancer evolution studies involve individual-based approaches that neglect the population dynamics necessary to build a global picture of cancer evolution for 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. In an omics integrative ...

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