Introduction

Ovarian cancer is a complex heterogenous disease for which a great deal of transcriptomic data is available. It is important to identify which patients are at risk of developing a more aggressive phenotype so as to tailor the level of clinical intervention. Prognostic markers are used to asses the risk of patients having good or poor clinical outcome.

OvMark is an algorithm we have developed that has allowed us to identify subsets of genes/miRNAs that are associated with disease progression in Ovarian cancer i.e. a set of putative prognostic markers. This algorithm integrates gene expression microarrays which frequently also contain miRNA expression information, and detailed clinical data to correlate clinical outcome with differential gene/miRNA expression levels. This algorithm integrates gene expression and survival data from 14 datasets on 5 different microarray platforms corresponding to ~17,000 genes in up to 2,129 samples. It also allows us to examine the prognostic potential of 341 microRNAs. Read More

messenger RNA analysis

img1This algorithm integrates gene expression and survival data from 14 datasets on 7 different microarray platforms corresponding to ~17,000 genes in up to 2,129 samples. Begin

FAQs

img1See frequently asked questions and find out more about the underlying analysis is carried out and the clinical parameters covered by this tool. Read More..

MicroRNA analysis

img1Gene expression microarrays also contain miRNA expression information, this tool also allows the correlation of clinical outcome with the expression levels of 341 miRNAs Begin..

About Us

Molecular Therapeutics for Cancer, Ireland (MTCI) is a Science Foundation Ireland-funded Strategic Research Cluster which aims to discover and develop new anti-cancer drugs. There is an urgent need for improved drug treatments for cancer, which is emerging as the leading cause of mortality in Ireland and other western countries. Traditional cancer chemotherapy has resulted in improved outcomes for some types of cancer, but remains a generally unsatisfactory form of treatment, with low rates of cure, and prominent side-effects.