Literature DB >> 19887478

Gene expression profiling of paraffin-embedded primary melanoma using the DASL assay identifies increased osteopontin expression as predictive of reduced relapse-free survival.

Caroline Conway1, Angana Mitra, Rosalyn Jewell, Juliette Randerson-Moor, Samira Lobo, Jérémie Nsengimana, Sara Edward, D Scott Sanders, Martin Cook, Barry Powell, Andy Boon, Faye Elliott, Floor de Kort, Margaret A Knowles, D Timothy Bishop, Julia Newton-Bishop.   

Abstract

PURPOSE: Gene expression studies in melanoma have been few because tumors are small and cryopreservation is rarely possible. The purpose of this study was to evaluate the Illumina DASL Array Human Cancer Panel for gene expression studies in formalin-fixed melanoma primary tumors and to identify prognostic biomarkers. EXPERIMENTAL
DESIGN: Primary tumors from two studies were sampled using a tissue microarray needle. Study 1: 254 tumors from a melanoma cohort recruited from 2000 to 2006. Study 2: 218 tumors from a case-control study of patients undergoing sentinel node biopsy.
RESULTS: RNA was obtained from 76% of blocks; 1.4% of samples failed analysis (transcripts from <250 of the 502 genes on the DASL chip detected). Increasing age of the block and increased melanin in the tumor were associated with reduced number of genes detected. The gene whose expression was most differentially expressed in association with relapse-free survival in study 1 was osteopontin (SPP1; P = 2.11 x 10(-6)) and supportive evidence for this was obtained in study 2 used as a validation set (P = 0.006; unadjusted data). Osteopontin level in study 1 remained a significant predictor of relapse-free survival when data were adjusted for age, sex, tumor site, and histologic predictors of relapse. Genes whose expression correlated most strongly with osteopontin were PBX1, BIRC5 (survivin), and HLF.
CONCLUSION: Expression data were obtained from 74% of primary melanomas and provided confirmatory evidence that osteopontin expression is a prognostic biomarker. These results suggest that predictive biomarker studies may be possible using stored blocks from mature clinical trials.

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Year:  2009        PMID: 19887478      PMCID: PMC2778654          DOI: 10.1158/1078-0432.CCR-09-1631

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  43 in total

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4.  Quantitative gene expression profiling in formalin-fixed, paraffin-embedded tissues using universal bead arrays.

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Authors:  Zachary Hothem; Andrew Bayci; Bryan J Thibodeau; Billie E Ketelsen; Laura E Fortier; Alison F Uzieblo; Diane Cosner; Kristin Totoraitis; Richard D Keidan; George D Wilson
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