Abstract 2787: Identifying predictive markers of endocrine response in high-grade serous ovarian cancer using RNA sequencing

2017 ◽  
Author(s):  
Cristina Mapagu ◽  
Sian Fereday ◽  
David D. Bowtell ◽  
Paul R. Harnett ◽  
Anna deFazio
Keyword(s):  
Ovarian Cancer ◽  
Rna Sequencing ◽  
Predictive Markers ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Endocrine Response

Small RNA sequencing reveals a comprehensive miRNA signature ofBRCA1-associated high-grade serous ovarian cancer

2016 ◽  
Vol 69 (11) ◽  
pp. 979-985 ◽  
Author(s):  
Jan Brouwer ◽  
Joost Kluiver ◽  
Rodrigo C de Almeida ◽  
Rutger Modderman ◽  
Miente Martijn Terpstra ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Rna Sequencing ◽  
Small Rna ◽  
Small Rna Sequencing ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Mirna Signature

scholarly journals Sodium MRI with 3D-cones as a measure of tumour cellularity in high grade serous ovarian cancer

2019 ◽  
Vol 6 ◽  
pp. 156-162 ◽  
Author(s):  
Surrin S. Deen ◽  
Frank Riemer ◽  
Mary A. McLean ◽  
Andrew B. Gill ◽  
Joshua D. Kaggie ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Sodium Mri ◽  
Tumour Cellularity

Molecular predictors of the outcome of paclitaxel plus carboplatin neoadjuvant therapy in high-grade serous ovarian cancer patients

2021 ◽  
Author(s):  
Anna P. Sokolenko ◽  
Tatiana V. Gorodnova ◽  
Ilya V. Bizin ◽  
Ekaterina Sh. Kuligina ◽  
Khristina B. Kotiv ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Neoadjuvant Therapy ◽  
Cancer Patients ◽  
High Grade ◽  
Serous Ovarian Cancer

scholarly journals Precision radiogenomics: fusion biopsies to target tumour habitats in vivo

2021 ◽  
Author(s):  
Mireia Crispin-Ortuzar ◽  
Evis Sala
Keyword(s):  
Ovarian Cancer ◽  
Ct Scans ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
High Degree ◽  
Degree Of Heterogeneity

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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