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Elevated AKAP12 in Paclitaxel-resistant Serous Ovarian Cancer Cells is Prognostic and Predictive of Poor Survival in Patients

Abstract

A majority of high-grade (HG) serous ovarian cancer (SOC) patients develop resistant disease despite high initial response rates to platinum/paclitaxel-based chemotherapy. We identified shed/secreted proteins in preclinical models of paclitaxel-resistant human HGSOC models and correlated these candidate proteins with patient outcomes using public data from HGSOC patients. Proteomic analyses of a HGSOC cell line secretome was compared to those from a syngeneic paclitaxel-resistant variant and from a line established from an intrinsically chemorefractory HGSOC patient. Associations between the identified candidate proteins and patient outcome were assessed in a discovery cohort of 545 patients and two validation cohorts totaling 795 independent SOC patients. Among the 81 differentially abundant proteins identified (q < 0.05) from paclitaxel-sensitive vs -resistant HGSOC cell secretomes, AKAP12 was verified to be elevated in all models of paclitaxel-resistant HGSOC. Furthermore, elevated AKAP12 transcript expression was associated with worse progression-free and overall survival. Associations with outcome were observed in three independent cohorts and remained significant after adjusted multivariate modeling. We further provide evidence to support that differential gene methylation status is associated with elevated expression of AKAP12 in taxol-resistant ovarian cancer cells and ovarian cancer patient subsets. Elevated expression and shedding/secretion of AKAP12 is characteristic of paclitaxel-resistant HGSOC cells, and elevated AKAP12 transcript expression is a poor prognostic and predictive marker for progression-free and overall survival in SOC patients.

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References
1.
Su B, Zheng Q, Vaughan M, Bu Y, Gelman I . SSeCKS metastasis-suppressing activity in MatLyLu prostate cancer cells correlates with vascular endothelial growth factor inhibition. Cancer Res. 2006; 66(11):5599-607. DOI: 10.1158/0008-5472.CAN-05-4123. View

2.
Liu X, Valentine S, Plasencia M, Trimpin S, Naylor S, Clemmer D . Mapping the human plasma proteome by SCX-LC-IMS-MS. J Am Soc Mass Spectrom. 2007; 18(7):1249-64. PMC: 2195767. DOI: 10.1016/j.jasms.2007.04.012. View

3.
Cicchillitti L, Di Michele M, Urbani A, Ferlini C, Donat M, Scambia G . Comparative proteomic analysis of paclitaxel sensitive A2780 epithelial ovarian cancer cell line and its resistant counterpart A2780TC1 by 2D-DIGE: the role of ERp57. J Proteome Res. 2009; 8(4):1902-12. DOI: 10.1021/pr800856b. View

4.
Denkert C, Budczies J, Darb-Esfahani S, Gyorffy B, Sehouli J, Konsgen D . A prognostic gene expression index in ovarian cancer - validation across different independent data sets. J Pathol. 2009; 218(2):273-80. DOI: 10.1002/path.2547. View

5.
Bani M, Nicoletti M, Alkharouf N, Ghilardi C, Petersen D, Erba E . Gene expression correlating with response to paclitaxel in ovarian carcinoma xenografts. Mol Cancer Ther. 2004; 3(2):111-21. View