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Comparative proteomic analysis of advanced serous epithelial ovarian carcinoma: possible predictors of chemoresistant disease

Authors
 Sang Wun Kim ; Sunghoon Kim ; Young Tae Kim ; Jae Wook Kim ; Jae Hoon Kim ; Ji Heum Paek ; San Hui Lee ; Yong Wook Jeong ; Eun Ji Nam 
Citation
 OMICS- a Journal of Integrative Biology, Vol.15(5) : 281~292, 2011 
Journal Title
 OMICS- a Journal of Integrative Biology 
ISSN
 1536-2310 
Issue Date
2011
Abstract
To identify specific proteins associated with chemotherapeutic responses, we analyzed protein expression patterns in stage IIIc primary serous epithelial ovarian cancer tissues displaying differential responses to first-line postoperative adjuvant chemotherapy. The expression profiles of five chemoresistant tissues [progression-free survival (PFS) ≤12 months] and five chemosensitive tissues (PFS ≥48 months) were analyzed with 2D electrophoresis, and the spot intensities of differentially expressed proteins were quantified. To validate these proteins as markers for chemoresistant disease, we analyzed tissues from an additional 17 patients. All the patients were allocated to the over- or underexpressing group according to protein spot intensity, and survival analysis was performed. In chemoresistant tissues, four proteins (thioredoxin domain containing four, similar to RIKEN cDNA 1700016G05, tubulin α 1A chain, and the pyruvate dehydrogenase E1-β subunit precursor) were overexpressed, and seven proteins [keratin 1, vitamin D-binding protein, creatine kinase B, annexin V, SH3-containing guanine nucleotide exchange factor (SGEF), tryptophan-aspartate repeat protein-1 (WDR 1), and WDR 1 isoform 1] were underexpressed. The underexpression of keratin 1, creatine kinase B, annexin V, SGEF, WDR1, and WDR1 isoform 1 were significantly correlated with poor overall survival. A combination of keratin 1 and SGEF showed the highest sensitivity of 0.800, specificity of 0.917, PPV of 0.800, and NPV of 0.917 in predicting chemoresistant disease. These proteins may be useful as predictive markers of chemoresistant disease. However, further analyses in large-scale should be performed before they can be considered reliable predictive markers of chemoresistant disease.
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/93454
DOI
10.1089/omi.2010.0012
Appears in Collections:
1. 연구논문 > 1. College of Medicine > Dept. of Obstetrics & Gynecology
Yonsei Authors
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Link
 http://online.liebertpub.com/doi/abs/10.1089/omi.2010.0012
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