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The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative Analysis

Marzec, J; Ross-Adams, H; Pirrò, S; Wang, J; Zhu, Y; Mao, X; Gadaleta, E; ... Chelala, C; + view all (2021) The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative Analysis. Cancers , 13 (2) , Article 345. 10.3390/cancers13020345. Green open access

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Abstract

Next-generation sequencing of primary tumors is now standard for transcriptomic studies, but microarray-based data still constitute the majority of available information on other clinically valuable samples, including archive material. Using prostate cancer (PC) as a model, we developed a robust analytical framework to integrate data across different technical platforms and disease subtypes to connect distinct disease stages and reveal potentially relevant genes not identifiable from single studies alone. We reconstructed the molecular profile of PC to yield the first comprehensive insight into its development, by tracking changes in mRNA levels from normal prostate to high-grade prostatic intraepithelial neoplasia, and metastatic disease. A total of nine previously unreported stage-specific candidate genes with prognostic significance were also found. Here, we integrate gene expression data from disparate sample types, disease stages and technical platforms into one coherent whole, to give a global view of the expression changes associated with the development and progression of PC from normal tissue through to metastatic disease. Summary and individual data are available online at the Prostate Integrative Expression Database (PIXdb), a user-friendly interface designed for clinicians and laboratory researchers to facilitate translational research.

Type: Article
Title: The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative Analysis
Location: Switzerland
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/cancers13020345
Publisher version: https://doi.org/10.3390/cancers13020345
Language: English
Additional information: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited https://creativecommons.org/licenses/by/4.0/
Keywords: prostate cancer; tumorigenesis; mRNA; RNAseq; transcriptomic; data integration
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Cancer Institute
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Cancer Institute > Research Department of Oncology
URI: https://discovery.ucl.ac.uk/id/eprint/10120674
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