Cancers, Vol. 13, Pages 345: The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative Analysis

Cancers, Vol. 13, Pages 345: The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative Analysis Cancers doi: 10.3390/cancers13020345 Authors: Jacek Marzec Helen Ross-Adams Stefano Pirrò Jun Wang Yanan Zhu Xueying Mao Emanuela Gadaleta Amar S. Ahmad Bernard V. North Solène-Florence Kammerer-Jacquet Elzbieta Stankiewicz Sakunthala C. Kudahetti Luis Beltran Guoping Ren Daniel M. Berney Yong-Jie Lu Claude Chelala 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 glo...
Source: Cancers - Category: Cancer & Oncology Authors: Tags: Article Source Type: research