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Spatial and temporal intra-tumoural heterogeneity in advanced High-Grade Serous Ovarian Cancer: implications for surgical and clinical outcomes

Lookup NU author(s): Dr Jingky Lozano-KuehneORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


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Author(s): Cunnea P, Curry E, Christie E, Nixon K, Kwok CH, Pandey A, Wulandari R, Thol K, Ploski J, Morera-Albert C, McQuaid S, Lozano-Kuehne J, Clark JJ, Krell J, Stronach E, McNeish I, Bowtell D, Fotopoulou C

Publication type: Article

Publication status: Published

Journal: Cell Reports Medicine

Year: 2023

Volume: 4

Issue: 6

Print publication date: 20/06/2023

Online publication date: 22/05/2023

Acceptance date: 28/04/2023

Date deposited: 16/08/2023

ISSN (electronic): 2666-3791

Publisher: Cell Press

URL: https://doi.org/10.1016/j.xcrm.2023.101055

DOI: 10.1016/j.xcrm.2023.101055

Data Access Statement: Genomic data has been deposited in European Genome-Phenome Archive (EGA) repository, which is hosted by the EBI and the CRG, under accession number EGAS00001007164. Due to the sensitive nature of our patient datasets as regulated by Imperial College Faculty of Medicine guidance on the sharing and publishing of human genetic data, deposited genomic data must be under controlled access. Access to data can be gained for academic use through our Data Access Committee and made available upon request following contact with lead contact (Dr Paula Cunnea). Code generated in R used in this study is available via the HGSOC_ITH repository (https://github.com/edcurry/HGSOC_ITH). Any additional information required to reanalyze the data reported in this work paper is available from the lead contact upon request.


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Funding

Funder referenceFunder name
Imperial Health Charity (Ovarian Fund)
Imperial Private Healthcare
Myrovlytis Trust
NHMRC
Ovarian Cancer Action
Rosetrees Trust
VCA

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