title: Proteins associated with Cisplatin resistance in ovarian cancer cells identified by quantitative proteomic technology and integrated with mRNA expression levels.
abstract: Nearly all women diagnosed with ovarian cancer receive combination chemotherapy including cis- or carboplatin. Despite high initial response rates, resistance to cisplatin develops in roughly one-third of women during primary treatment and in all women treated for recurrent disease. ICAT coupled with tandem MS is a quantitative proteomic technique for high throughput protein expression profiling of complex protein mixtures. Using ICAT/MS/MS we profiled the nuclear, cytosolic, and microsomal fractions obtained from IGROV-1 [corrected] (cisplatin-sensitive) and IGROV-1/CP [corrected] (cisplatin-resistant) ovarian cancer cell lines. The proteomes of cisplatin-sensitive and -resistant ovarian cancer cells were compared, and protein expression was correlated with mRNA expression profiles. A total of 1117 proteins were identified and quantified. The relative expression of 121 of these varied between the two cell lines. Sixty-three proteins were overexpressed in cisplatin-sensitive, and 58 were over expressed in cisplatin-resistant cells. Examples of proteins at least 5-fold overexpressed in resistant cells and with biological relevance to cancer include cell recognition molecule CASPR3 (13.3-fold), S100 protein family members (8.7-fold), junction adhesion molecule Claudin 4 (7.2-fold), and CDC42-binding protein kinase beta (5.4-fold). Examples of cancer-related proteins at least 5-fold overexpressed in sensitive cells include hepatocyte growth factor inhibitor 1B (13.3-fold) and programmed cell death 6-interacting protein (12.7-fold). The direction of changes in expression levels between proteins and mRNAs were not always in the same direction, possibly reflecting posttranscriptional control of protein expression. We identified proteins whose expression profiles correlate with cisplatin resistance in ovarian cancer cells. Several proteins may be involved in modulating response to cisplatin and have potential as markers of treatment response or treatment targets.
authors.affiliation: The Institute for Systems Biology, Seattle, Washington 98103, USA.
authors.forename: Jennifer J
authors.initials: JJ
authors.lastname: Stewart
authors.forename: James T
authors.initials: JT
authors.lastname: White
authors.forename: Xiaowei
authors.initials: X
authors.lastname: Yan
authors.forename: Steven
authors.initials: S
authors.lastname: Collins
authors.forename: Charles W
authors.initials: CW
authors.lastname: Drescher
authors.forename: Nicole D
authors.initials: ND
authors.lastname: Urban
authors.forename: Leroy
authors.initials: L
authors.lastname: Hood
authors.forename: Biaoyang
authors.initials: B
authors.lastname: Lin
mesh_terms: D045744:Cell Line, Tumor; D002945:Cisplatin / Q000494:pharmacology*; D019008:Drug Resistance, Neoplasm; D004358:Drug Therapy; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D052138:Genes, Neoplasm / Q000235:genetics; D006801:Humans; D009363:Neoplasm Proteins / Q000032:analysis / Q000235:genetics / Q000378:metabolism*; D010051:Ovarian Neoplasms / Q000235:genetics* / Q000378:metabolism* / Q000473:pathology; D040081:Protein Array Analysis; D040901:Proteomics; D012333:RNA, Messenger / Q000032:analysis / Q000235:genetics / Q000378:metabolism; D014407:Tumor Cells, Cultured
chemical_list: D009363:Neoplasm Proteins; D012333:RNA, Messenger; D002945:Cisplatin