Organizing the Cellular and Molecular Heterogeneity in High-Grade Serous Ovarian Cancer by Mass Cytometry

2013 ◽  
Author(s):  
Garry P. Nolan
Genes ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 678 ◽  
Author(s):  
Dugo ◽  
Devecchi ◽  
De Cecco ◽  
Cecchin ◽  
Mezzanzanica ◽  
...  

High grade serous ovarian cancer (HGSOC) retains high molecular heterogeneity and genomic instability, which currently limit the treatment opportunities. HGSOC patients receiving complete cytoreduction (R0) at primary surgery and platinum-based therapy may unevenly experience early disease relapse, in spite of their clinically favorable prognosis. To identify distinctive traits of the genomic landscape guiding tumor progression, we focused on the R0 patients of The Cancer Genome Atlas (TCGA) ovarian serous cystadenocarcinoma (TCGA-OV) dataset and classified them according to their time to relapse (TTR) from surgery. We included in the study two groups of R0-TCGA patients experiencing substantially different outcome: Resistant (R; TTR ≤ 12 months; n = 11) and frankly Sensitive (fS; TTR ≥ 24 months; n = 16). We performed an integrated clinical, RNA-Sequencing, exome and somatic copy number alteration (sCNA) data analysis. No significant differences in mutational landscape were detected, although the lack of BRCA-related mutational signature characterized the R group. Focal sCNA analysis showed a higher frequency of amplification in R group and deletions in fS group respectively, involving cytobands not commonly detected by recurrent sCNA analysis. Functional analysis of focal sCNA with a concordantly altered gene expression identified in R group a gain in Notch, and interferon signaling and fatty acid metabolism. We are aware of the constraints related to the low number of OC cases analyzed. It is worth noting, however, that the sCNA identified in this exploratory analysis and characterizing Pt-resistance are novel, deserving validation in a wider cohort of patients achieving complete surgical debulking.


2019 ◽  
Vol 6 ◽  
pp. 156-162 ◽  
Author(s):  
Surrin S. Deen ◽  
Frank Riemer ◽  
Mary A. McLean ◽  
Andrew B. Gill ◽  
Joshua D. Kaggie ◽  
...  

Author(s):  
Anna P. Sokolenko ◽  
Tatiana V. Gorodnova ◽  
Ilya V. Bizin ◽  
Ekaterina Sh. Kuligina ◽  
Khristina B. Kotiv ◽  
...  

Author(s):  
Mireia Crispin-Ortuzar ◽  
Evis Sala

SummaryHigh-grade serous ovarian cancer lesions display a high degree of heterogeneity on CT scans. We have recently shown that regions with distinct imaging profiles can be accurately biopsied in vivo using a technique based on the fusion of CT and ultrasound scans.


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