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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 und Hosseini, Hedayatollah
(2020)
Omics Integration Analyses Reveal the Early Evolution of Malignancy in Breast Cancer.
Cancers 12 (6), S. 1460.
Veröffentlichungsdatum dieses Volltextes: 17 Jun 2020 15:23
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.43356
Zusammenfassung
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 ...
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 approach, we integrated gene expression and genomic aberration data for pre-invasive (ductal carcinoma in situ; DCIS, early-stage) and post-invasive (invasive ductal carcinoma; IDC, late-stage) samples and investigated the evolutionary role of further genetic changes in later stages compared to the early ones. We found that single gene alterations (SGAs) and copy-number alterations (CNAs) work together in forward and backward evolution manners to fine-tune the signaling pathways operating in tumors. Analyses of the integrated point mutation and gene expression data showed that (i) our proposed fine-tuning concept is also applicable to metastasis, and (ii) metastases sometimes diverge from the primary tumor at the DCIS stage. Our results indicated that the malignant potency of breast tumors is constant over the 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.
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Details
| Dokumentenart | Artikel | ||||
| Titel eines Journals oder einer Zeitschrift | Cancers | ||||
| Verlag: | MDPI | ||||
|---|---|---|---|---|---|
| Ort der Veröffentlichung: | BASEL | ||||
| Band: | 12 | ||||
| Nummer des Zeitschriftenheftes oder des Kapitels: | 6 | ||||
| Seitenbereich: | S. 1460 | ||||
| Datum | 4 Juni 2020 | ||||
| Institutionen | Medizin > Lehrstuhl für experimentelle Medizin und Therapieverfahren | ||||
| Identifikationsnummer |
| ||||
| Stichwörter / Keywords | CARCINOMA IN-SITU; DUCTAL CARCINOMA; EARLY DISSEMINATION; TUMOR EVOLUTION; HETEROGENEITY; METASTASIS; MUTATIONS; NETWORKS; PLATFORM; DATABASE; breast cancer; cancer evolution; omics data integration; machine learning; forward and backward evolution | ||||
| Dewey-Dezimal-Klassifikation | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Ja | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-433569 | ||||
| Dokumenten-ID | 43356 |
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