Disassembly of α6β4-mediated hemidesmosomal adhesions promotes tumorigenesis in PTEN-negative prostate cancer by targeting plectin to focal adhesions

T Wenta, A Schmidt, Q Zhang, R Devarajan, P Singh… - Oncogene, 2022 - nature.com
Loss of α6β4-dependent hemidesmosomal adhesions has been observed during prostate
cancer progression. However, the significance and underlying mechanisms by which …

Whole-genome gene expression profiling of formalin-fixed, paraffin-embedded tissue samples

C April, B Klotzle, T Royce, E Wickham-Garcia… - PloS one, 2009 - journals.plos.org
Background We have developed a gene expression assay (Whole-Genome DASL®),
capable of generating whole-genome gene expression profiles from degraded samples …

[HTML][HTML] Genes involved in prostate cancer progression determine MRI visibility

P Li, S You, C Nguyen, Y Wang, J Kim, D Sirohi… - Theranostics, 2018 - ncbi.nlm.nih.gov
MRI is used to image prostate cancer and target tumors for biopsy or therapeutic ablation.
The objective was to understand the biology of tumors not visible on MRI that may go …

Association between Expression of Connective Tissue Genes and Prostate Cancer Growth and Progression

PJ Treacy, A Martini, UG Falagario, P Ratnani… - International Journal of …, 2023 - mdpi.com
To find an association between genomic features of connective tissue and pejorative clinical
outcomes on radical prostatectomy specimens. We performed a retrospective analysis of …

miR-888 is an expressed prostatic secretions-derived microRNA that promotes prostate cell growth and migration

H Lewis, R Lance, D Troyer, H Beydoun, M Hadley… - Cell cycle, 2014 - Taylor & Francis
microRNAs (miRNAs) are a growing class of small non-coding RNAs that exhibit
widespread dysregulation in prostate cancer. We profiled miRNA expression in syngeneic …

[HTML][HTML] Markers of clinical utility in the differential diagnosis and prognosis of prostate cancer

G Kristiansen - Modern Pathology, 2018 - Elsevier
Molecular diagnostics is a rapidly evolving area of surgical pathology, that is gradually
beginning to transform our diagnostical procedures for a variety of tumors. Next to molecular …

Comprehensive evaluation of machine learning models and gene expression signatures for prostate cancer prognosis using large population cohorts

R Li, J Zhu, WD Zhong, Z Jia - Cancer Research, 2022 - AACR
Overtreatment remains a pervasive problem in prostate cancer management due to the
highly variable and often indolent course of disease. Molecular signatures derived from …

Pan-urologic cancer genomic subtypes that transcend tissue of origin

F Chen, Y Zhang, D Bossé, AKA Lalani… - Nature …, 2017 - nature.com
Urologic cancers include cancers of the bladder, kidney, prostate, and testes, with common
molecular features spanning different types. Here, we show that 1954 urologic cancers can …

Tumor protein D52 (TPD52) and cancer—oncogene understudy or understudied oncogene?

JA Byrne, S Frost, Y Chen, RK Bright - Tumor Biology, 2014 - Springer
Abstract The Tumor protein D52 (TPD52) gene was identified nearly 20 years ago through
its overexpression in human cancer, and a substantial body of data now strongly supports …

The landscape of prognostic outlier genes in high-risk prostate cancer

SG Zhao, JR Evans, V Kothari, G Sun, A Larm… - Clinical cancer …, 2016 - AACR
Purpose: There is a clear need to improve risk stratification and to identify novel therapeutic
targets in aggressive prostate cancer. The goal of this study was to investigate genes with …