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Published in: Medical Oncology 8/2017

01-08-2017 | Original Paper

SPARC gene variants predict clinical outcome in locally advanced and metastatic pancreatic cancer patients

Authors: Cristina Arqueros, Juliana Salazar, M. J. Arranz, Ana Sebio, Josefina Mora, Ivana Sullivan, María Tobeña, Marta Martín-Richard, Agustí Barnadas, Montserrat Baiget, David Páez

Published in: Medical Oncology | Issue 8/2017

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Abstract

Secreted protein acidic and rich in cysteine (SPARC) is a glycoprotein of the extracellular matrix whose expression can be altered in malignant pancreatic cells and in the adjacent stromal fibroblasts. We evaluated the possible role of SPARC gene variants as prognostic markers for locally advanced and metastatic pancreatic cancer. We analyzed eight tagging single-nucleotide polymorphisms (TagSNPs) in the SPARC gene in 74 patients with pancreatic ductal adenocarcinoma treated with chemotherapy alone or combined with radiotherapy. TagSNPs were chosen using the HapMap genome browser and Haploview software 4.2 based on two predefined criteria: (1) coefficient cutoff of 0.80 and (2) minor allele frequency (MAF) ≥ 0.10. Univariate analyses revealed significant associations between four SNPs (rs17718347, rs2347128, rs3210714, and rs967527) and PFS. The rs3210714 genetic variant was also associated with OS. In the multivariate analyses, rs17718347 (HR 0.4; 95% CI 0.2–0.8; p = 0.013) and rs2347128 (HR 0.5; 95% CI 0.3–0.9; p = 0.049) remained statistically associated with PFS. In addition, patients harboring the T-A-G haplotype (rs17718347, rs1978707, rs2347128) had a better PFS (p = 0.002). Our findings suggest that SPARC polymorphisms may be useful in predicting outcome in patients with locally advanced and metastatic pancreatic cancer.
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Metadata
Title
SPARC gene variants predict clinical outcome in locally advanced and metastatic pancreatic cancer patients
Authors
Cristina Arqueros
Juliana Salazar
M. J. Arranz
Ana Sebio
Josefina Mora
Ivana Sullivan
María Tobeña
Marta Martín-Richard
Agustí Barnadas
Montserrat Baiget
David Páez
Publication date
01-08-2017
Publisher
Springer US
Published in
Medical Oncology / Issue 8/2017
Print ISSN: 1357-0560
Electronic ISSN: 1559-131X
DOI
https://doi.org/10.1007/s12032-017-0993-3

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