Analysis of advanced quantitative computed tomography imaging features in predicting progression free survival of advanced epithelial ovarian cancer

2020 ◽  
Vol 159 ◽  
pp. 111-112
Author(s):  
J.B. DiSilvestro ◽  
P.A. DiSilvestro ◽  
A. Pandey ◽  
J. Gordon ◽  
J. Ball ◽  
...  
2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e16526-e16526
Author(s):  
E. Tominaga ◽  
H. Tsuda ◽  
T. Arao ◽  
S. Nishimura ◽  
T. Chiyoda ◽  
...  

e16526 Background: The purpose of this study was to identify genes that predict the progression free survival (PFS) of advanced epithelial ovarian cancer (aEOC) receiving standard therapy. Methods: We performed expression analysis using GeneChip (Human Genome U133 plus 2.0 Array) in aEOC cells produced by laser-based microdissection. Thirty three aEOC patients (stage IIc: 4, III: 19, IV: 10; serous adenocarcinoma: 21, endometrioid adenocarcinoma: 5, undifferentiated: 7) were included in this array study. All cases received staging laparotomy, cytoreductive surgery, and adjuvant chemotherapy (carboplatin + paclitaxel) as primary therapy. Results: Class comparison analysis between groups of NED (no evidence of disease) and non-NED identified 46 genes that exhibited significant differences (p < 0.001). Among them, 6 (13%) genes are located in 8q24 and 9 (19.6%) genes are located in 20q11–13. Finally, we focused on 8q24 and 20q11–13 loci, and confirmed array data using real-time quantitative PCR in 94 validation sets. The validation showed that ZNF7, MAF1, ADRM1, and GNAS amplification was related with PFS (p < 0.05, respectively). Conclusions: The amplification of 8q24 and 20q11–13 can predict the PFS of aEOC and these genes may be new biomarkers for aEOC. No significant financial relationships to disclose.


2011 ◽  
Vol 121 (2) ◽  
pp. 269-272 ◽  
Author(s):  
David M. O'Malley ◽  
Debra L. Richardson ◽  
Patrick S. Rheaume ◽  
Ritu Salani ◽  
Eric L. Eisenhauer ◽  
...  

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