Type

Journal Article

Authors

Lorraine O'Driscoll
Martin Clynes
John Crown
Robert O'Connor
Eoin Ryan
Jai Prakash Mehta
Elaine Kenny
Helena Joyce
Patrick Gammell
Padraig Doolan
and 2 others

Subjects

Biochemistry

Topics
breast neoplasms arnt2 protein human enzymology basic helix loop helix transcription factors breast prognosis aged 80 and over metabolic detoxication drug adult glutathione transferase humans metabolism gene expression female therapeutic use kaplan meier estimate gsta1 protein human aryl hydrocarbon receptor nuclear translocator genetics cytochrome p 450 enzyme system biosynthesis antineoplastic agents middle aged mortality aged tumor markers biological oligonucleotide array sequence analysis

Drug metabolism-related genes as potential biomarkers: analysis of expression in normal and tumour breast tissue. (2007)

Abstract The complex role of drug metabolism-related enzymes and their possible influence in cancer development, treatment and outcome has not yet been completely elucidated. There is evidence that these enzymes can activate certain environmental procarcinogens to more toxic derivatives and thus a role has been proposed for them in carcinogenesis. The fact that they can also inactivate a number of chemotherapeutic drugs has raised the possibility of these enzymes influencing the sensitivity of tumour cells to anticancer agents. In this report, we analyse the expression of drug metabolism-related genes within a whole genome microarray study of 104 breast cancer and 17 normal breast specimens. Kaplan-Meier survival curves, Chi-squared, and Cox Regression analyses were used to identify associations between expression of gene transcripts and patients' clinicopathological and survival data. Our results show that several of these genes are significantly expressed in both normal and tumour tissue; in many cases, expression is altered in the tumour specimens as compared to normal breast tissue. Moreover, expression of ARNT2 and GST A1 was correlated with prognosis. Kaplan-Meier analysis showed expression of ARNT2 mRNA to correlate significantly with favourable disease outcome for patients, in terms of both their disease-free survival (P = 0.0094) and overall survival (P = 0.0018) times from diagnosis, while detection of GST A1 mRNA correlated with shortened disease-free survival (P = 0.0131) and overall survival (P = 0.0028). Multivariate analysis indicated GST A1 expression to be an independent prognostic factor for overall survival (P = 0.045). Our results suggest a possible use of ARNT2 and GST A1 as prognostic breast cancer biomarkers.
Collections Ireland -> Dublin City University -> PubMed

Full list of authors on original publication

Lorraine O'Driscoll, Martin Clynes, John Crown, Robert O'Connor, Eoin Ryan, Jai Prakash Mehta, Elaine Kenny, Helena Joyce, Patrick Gammell, Padraig Doolan and 2 others

Experts in our system

1
Lorraine O'Driscoll
Trinity College Dublin
Total Publications: 150
 
2
Martin Clynes
Dublin City University
Total Publications: 208
 
3
John Crown
Dublin City University
 
4
Robert O'Connor
Dublin City University
Total Publications: 58
 
5
Jai Prakash Mehta
University College Dublin
Total Publications: 29
 
6
Elaine Kenny
Trinity College Dublin
Total Publications: 28
 
7
Helena Joyce
Dublin City University
Total Publications: 10
 
8
Padraig Doolan
Dublin City University
Total Publications: 37