High Expression of Three-Gene Signature Improves Prediction of Relapse-Free Survival in Estrogen Receptor-Positive and Node-Positive Breast Tumors
Author(s) -
Thakkar Arvind,
Raj Hemanth,
Muthuvelan Bhaskaran,
Balakrishnan Arun,
Padigaru Muralidhara
Publication year - 2015
Publication title -
biomarker insights
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.075
H-Index - 31
ISSN - 1177-2719
DOI - 10.4137/bmi.s30559
Subject(s) - breast cancer , oncology , medicine , gata3 , cohort , hazard ratio , estrogen receptor , proportional hazards model , gene signature , gene expression profiling , gene expression , cancer , gene , cancer research , biology , genetics , transcription factor , confidence interval
The objective of the present study was to validate prognostic gene signature for estrogen receptor alpha-positive (ERα+) and lymph node (+) breast cancer for improved selection of patients for adjuvant therapy In our previous study, we identified a group of seven genes ( GATA3, NTN4, SLC7A8, ENPP1, MLPH, LAMB2 , and PLAT) that show elevated messenger RNA (mRNA) expression levels in ERα (+) breast cancer patient samples. The prognostic values of these genes were evaluated using gene expression data from three public data sets of breast cancer patients ( n = 395). Analysis of ERα (+) breast cancer cohort ( n = 195) showed high expression of GATA3, NTN4 , and MLPH genes significantly associated with longer relapse-free survival (RFS). Next cohort of ERα (+) and node (+) samples ( n = 109) revealed high mRNA expression of GATA3, SLC7A8 , and MLPH significantly associated with longer RFS. Multivariate analysis of combined three-gene signature for ERα (+) cohort, and ERα (+) and node (+) cohorts showed better hazard ratio than individual genes. The validated three-gene signature sets for ERα (+) cohort, and ERα (+) and node (+) cohort may have potential clinical utility since they demonstrated predictive and prognostic ability in three independent public data sets.
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