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The DNA damage response in advanced ovarian cancer: functional analysis combined with machine learning identifies signatures that correlate with chemotherapy sensitivity and patient outcome

Crossref DOI link: https://doi.org/10.1038/s41416-023-02168-3

Published Online: 2023-02-21

Published Print: 2023-05-18

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Walker, Thomas D. J.

Faraahi, Zahra F.

Price, Marcus J.

Hawarden, Amy

Waddell, Caitlin A.

Russell, Bryn

Jones, Dominique M.

McCormick, Aiste

Gavrielides, N.

Tyagi, S.

Woodhouse, Laura C.

Whalley, Bethany

Roberts, Connor

Crosbie, Emma J.

Edmondson, Richard J. https://orcid.org/0000-0003-2553-4423
Funding

Funding for this research was provided by:

Target Ovarian Cancer

Cancer Research UK (22647)
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Article History

Received: 8 June 2022

Revised: 12 January 2023

Accepted: 16 January 2023

First Online: 21 February 2023

Competing interests

: The authors declare no competing interests.

: The study was carried out in accordance with the Declaration of Helsinki. Informed consent was obtained from all patients for sample and data collection and the study was approved by ethics (NHS National Research Ethics Service (NRES) Committee North West approval numbers 14/NW/1260 or 19/NW/0644 depending on the date of collection).

: Not applicable.

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