Determination of tag density required for digital transcriptome analysis: application to an androgen-sensitive prostate cancer model

H Li, MT Lovci, YS Kwon… - Proceedings of the …, 2008 - National Acad Sciences
… To determine hormone-regulated genes in this widely used prostate cancer cellular model,
we enumerated the number of tags mapped to exons in individual transcripts before and after …

Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression

M Bolis, D Bossi, A Vallerga, V Ceserani… - Nature …, 2021 - nature.com
… derived xenograft (PDX) models at the single-cell level. Finally, we show how our Prostate
Cancer Transcriptome Atlas can infer or validate new therapeutic avenues for cancer patients. …

Global transcriptome analysis of formalin-fixed prostate cancer specimens identifies biomarkers of disease recurrence

Q Long, J Xu, AO Osunkoya, S Sannigrahi, BA Johnson… - Cancer research, 2014 - AACR
… scores for subjects based on each prediction model, divided subjects into high (poor score)
… patients with prostate cancer (17). To compare performance of different prediction models, …

Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks

P Weitz, Y Wang, K Kartasalo, L Egevad… - …, 2022 - academic.oup.com
analysis of the potential of computer vision models for whole-transcriptome analysis in prostate
cancer has … We therefore conducted a transcriptome-wide analysis of gene expression …

Integrated clinical, whole-genome, and transcriptome analysis of multisampled lethal metastatic prostate cancer

GS Bova, HML Kallio, M Annala… - Molecular …, 2016 - molecularcasestudies.cshlp.org
analysis of whole-genome sequence, detailed clinical history, and transcriptome sequence
of multiple prostate cancer … progression model. Of the 87 mutations that disagreed with the …

… of a candidate prognostic gene signature by transcriptome analysis of matched pre-and post-treatment prostatic biopsies from patients with advanced prostate cancer

P Rajan, J Stockley, IM Sudbery, JT Fleming, A Hedley… - BMC cancer, 2014 - Springer
… time” in vivo RNA-Seq-based transcriptome analysis of clinical … We identify a
chemotherapy-driven PCa transcriptome profile … been identified in high-risk prostate cancer

Transcriptomics signature from next-generation sequencing data reveals new transcriptomic biomarkers related to prostate cancer

A Alkhateeb, I Rezaeian, S Singireddy… - Cancer …, 2019 - journals.sagepub.com
… (NGS) has revolutionized genomic and transcriptomic analysis. … differential expressed
transcripts in prostate cancer using RNA-Seq data. This model identifies transcripts associated …

[HTML][HTML] Analysing the tumor transcriptome of prostate cancer to predict efficacy of Lu-PSMA therapy

A Handke, C Kesch, WP Fendler, T Telli… - … of Cancer, 2023 - ncbi.nlm.nih.gov
… The histopathological specimen of the primary prostate tumor was available with sufficient
analysis in n=23 patients. In this subset of patients, tumor RNA transcriptomic analyses

Reference-free transcriptome exploration reveals novel RNAs for prostate cancer diagnosis

M Pinskaya, Z Saci, M Gallopin, M Gabriel… - Life science …, 2019 - life-science-alliance.org
… Predictive modeling yielded a restricted probe panel … RNA samples of prostate tissues (8
normal and 16 tumor specimens, Table … TCGA prostate cancer poly(A)–selected RNA-seq and …

[HTML][HTML] Prediction of Clinically Significant Prostate Cancer by a Specific Collagen-related Transcriptome, Proteome, and Urinome Signature

I Heidegger, M Frantzi, S Salcher, P Tymoszuk… - European Urology …, 2024 - Elsevier
models of clinically significant prostate cancer (csPCa). (A) Development of the collagen
support vector machine (SVM) model … Using transcriptome analysis of collagen-high PCa, we …