Molecular classification of prostate cancer using curated expression signatures

EK Markert, H Mizuno, A Vazquez… - Proceedings of the …, 2011 - National Acad Sciences
High Gleason score is currently the best prognostic indicator for poor prognosis in prostate
cancer. However, a significant number of patients with low Gleason scores develop …

Gene expression profiles in prostate cancer: association with patient subgroups and tumour differentiation

OJ Halvorsen, AM Øyan, TH Bø… - International …, 2005 - spandidos-publications.com
Prostate carcinoma is the most common cancer of western men and is a markedly
heterogeneous disease. The aim of this study was to identify signatures of differentially …

[HTML][HTML] Expression signatures that correlated with Gleason score and relapse in prostate cancer

M Bibikova, E Chudin, A Arsanjani, L Zhou, EW Garcia… - Genomics, 2007 - Elsevier
Predicting prognosis in prostate carcinoma remains a challenge when using clinical and
pathologic criteria only. We used an array-based DASL® assay to identify molecular …

A hierarchical machine learning model to discover gleason grade-specific biomarkers in prostate cancer

O Hamzeh, A Alkhateeb, JZ Zheng, S Kandalam… - Diagnostics, 2019 - mdpi.com
(1) Background: One of the most common cancers that affect North American men and men
worldwide is prostate cancer. The Gleason score is a pathological grading system to …

Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy

N Erho, A Crisan, IA Vergara, AP Mitra, M Ghadessi… - PloS one, 2013 - journals.plos.org
Purpose Clinicopathologic features and biochemical recurrence are sensitive, but not
specific, predictors of metastatic disease and lethal prostate cancer. We hypothesize that a …

Gene expression profiling identifies clinically relevant subtypes of prostate cancer

J Lapointe, C Li, JP Higgins… - Proceedings of the …, 2004 - National Acad Sciences
Prostate cancer, a leading cause of cancer death, displays a broad range of clinical
behavior from relatively indolent to aggressive metastatic disease. To explore potential …

Optimizing molecular signatures for predicting prostate cancer recurrence

Y Sun, S Goodison - The Prostate, 2009 - Wiley Online Library
BACKGROUND The derivation of molecular signatures indicative of disease status and
predictive of subsequent behavior could facilitate the optimal choice of treatment for prostate …

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

E Arvaniti, KS Fricker, M Moret, N Rupp, T Hermanns… - Scientific reports, 2018 - nature.com
The Gleason grading system remains the most powerful prognostic predictor for patients
with prostate cancer since the 1960s. Its application requires highly-trained pathologists, is …

Integration of copy number and transcriptomics provides risk stratification in prostate cancer: a discovery and validation cohort study

H Ross-Adams, AD Lamb, MJ Dunning, S Halim… - …, 2015 - thelancet.com
Background Understanding the heterogeneous genotypes and phenotypes of prostate
cancer is fundamental to improving the way we treat this disease. As yet, there are no …

Prognostic utility of a new mRNA expression signature of Gleason score

JA Sinnott, SF Peisch, S Tyekucheva, T Gerke… - Clinical Cancer …, 2017 - AACR
Purpose: Gleason score strongly predicts prostate cancer mortality; however, scoring varies
among pathologists, and many men are diagnosed with intermediate-risk Gleason score 7 …