Unique proteome signature of post-chemotherapy ovarian cancer ascites-derived tumor cells
Web of Science
AuthorAhmed, N; Greening, D; Samardzija, C; Escalona, RM; Chen, M; Findlay, JK; Kannourakis, G
Source TitleScientific Reports
PublisherNATURE PUBLISHING GROUP
AffiliationObstetrics and Gynaecology
Document TypeJournal Article
CitationsAhmed, N., Greening, D., Samardzija, C., Escalona, R. M., Chen, M., Findlay, J. K. & Kannourakis, G. (2016). Unique proteome signature of post-chemotherapy ovarian cancer ascites-derived tumor cells. SCIENTIFIC REPORTS, 6 (1), https://doi.org/10.1038/srep30061.
Access StatusOpen Access
Eighty % of ovarian cancer patients diagnosed at an advanced-stage have complete remission after initial surgery and chemotherapy. However, most patients die within <5 years due to episodes of recurrences resulting from the growth of residual chemoresistant cells. In an effort to identify mechanisms associated with chemoresistance and recurrence, we compared the expression of proteins in ascites-derived tumor cells isolated from advanced-stage ovarian cancer patients obtained at diagnosis (chemonaive, CN) and after chemotherapy treatments (chemoresistant/at recurrence, CR) by using in-depth, high-resolution label-free quantitative proteomic profiling. A total of 2,999 proteins were identified. Using a stringent selection criterion to define only significantly differentially expressed proteins, we report identification of 353 proteins. There were significant differences in proteins encoding for immune surveillance, DNA repair mechanisms, cytoskeleton rearrangement, cell-cell adhesion, cell cycle pathways, cellular transport, and proteins involved with glycine/proline/arginine synthesis in tumor cells isolated from CR relative to CN patients. Pathway analyses revealed enrichment of metabolic pathways, DNA repair mechanisms and energy metabolism pathways in CR tumor cells. In conclusion, this is the first proteomics study to comprehensively analyze ascites-derived tumor cells from CN and CR ovarian cancer patients.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References