Cancer Models on Chip: Paving the Way to Large‐Scale Trial Applications

JF Gil, CS Moura, V Silverio, G Gonçalves… - Advanced …, 2023 - Wiley Online Library
Cancer kills millions of individuals every year all over the world (Global Cancer
Observatory). The physiological and biomechanical processes underlying the tumor are still …

Derivation and application of molecular signatures to prostate cancer: opportunities and challenges

D Doultsinos, IG Mills - Cancers, 2021 - mdpi.com
Simple Summary Prostate cancer continues to exert a significant public health burden
across the globe with hundreds of thousands of new diagnoses per year. There have been …

Validation of diagnostic nomograms based on CE–MS urinary biomarkers to detect clinically significant prostate cancer

M Frantzi, I Heidegger, MC Roesch… - World Journal of …, 2022 - Springer
Abstract Purpose Prostate cancer (PCa) is one of the most common cancers and one of the
leading causes of death worldwide. Thus, one major issue in PCa research is to accurately …

Integration of urinary EN2 protein & cell-free RNA data in the development of a multivariable risk model for the detection of prostate cancer prior to biopsy

SP Connell, R Mills, H Pandha, R Morgan, CS Cooper… - Cancers, 2021 - mdpi.com
Simple Summary Prostate cancer is a disease responsible for a large proportion of all male
cancer deaths but there is a high chance that a patient will die with the disease rather than …

Convergence of prognostic gene signatures suggests underlying mechanisms of human prostate cancer progression

BA Luca, V Moulton, C Ellis, SP Connell, DS Brewer… - Genes, 2020 - mdpi.com
The highly heterogeneous clinical course of human prostate cancer has prompted the
development of multiple RNA biomarkers and diagnostic tools to predict outcome for …

Principal component analysis of RNA-seq data unveils a novel prostate cancer-associated gene expression signature

Y Perera, A Gonzalez, R Perez - bioRxiv, 2020 - biorxiv.org
Prostate cancer is a highly heterogeneous disease and the second more common tumor in
males. Molecular and genetic profiles are currently used to identify subtypes and to guide …

Multi-dimensional scaling analysis of key regulatory genes in prostate cancer using the tcga database

L Boldrini, P Faviana, L Galli, F Paolieri, PA Erba… - Genes, 2021 - mdpi.com
Prostate cancer (PC) is a polygenic disease with multiple gene interactions. Therefore, a
detailed analysis of its epidemiology and evaluation of risk factors can help to identify more …

Combining molecular subtypes with multivariable clinical models has the potential to improve prediction of treatment outcomes in prostate cancer at diagnosis

L Wardale, R Cardenas, VJ Gnanapragasam… - Current …, 2022 - mdpi.com
Clinical management of prostate cancer is challenging because of its highly variable natural
history and so there is a need for improved predictors of outcome in non-metastatic men at …

Using latent process decomposition to classify prostate and colorectal cancers.

C Ellis - 2021 - ueaeprints.uea.ac.uk
Cancer classification plays an important role in the clinical management of cancer patients. It
enables clinicians to predict how individual cancers will behave and directs the best course …

Detecting Novel Subtypes of Cancer Using Bayesian Unsupervised Clustering

S Llaneza Lago - 2023 - ueaeprints.uea.ac.uk
Although there have been many advances in screening programs and treatments in recent
years that have reduced the mortality rate of cancer, it remains the second leading cause of …