Evidence map›Paper›PMID 35696721›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2022

Multiomic Characterization of High-Grade Serous Ovarian Carcinoma Enables High-Resolution Patient Stratification.

Robert L Hollis, Alison M Meynert, Caroline O Michie, Tzyvia Rye, Michael Churchman, Amelia Hallas-Potts, Ian Croy, W Glenn McCluggage, Alistair R W Williams, Clare Bartos and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
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  13. Genomics of ovarian cancers and the potential of precision medicine.Therapeutic advances in medical oncology · 2025
    Review
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  19. Concurrent RB1 Loss and BRCA Deficiency Predicts Enhanced Immunologic Response and Long-term Survival in Tubo-ovarian High-grade Serous Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 10 institutions in 6 countries.

Robert L HollisNicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-1390-3298
Alison M MeynertMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-5839-1751
Caroline O MichieEdinburgh Cancer Centre, Western General Hospital, NHS Lothian, Edinburgh, UK.
Tzyvia RyeNicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Michael ChurchmanNicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-1958-7692
Amelia Hallas-PottsNicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Ian CroyNicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
W Glenn McCluggageDepartment of Pathology, Belfast Health and Social Care Trust, Belfast, UK.
Alistair R W WilliamsDivision of Pathology, The Royal Infirmary of Edinburgh, Edinburgh, UK.ORCID 0000-0002-7085-4525
Clare BartosNicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Yasushi IidaNicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Aikou OkamotoThe Jikei University School of Medicine, Tokyo, Japan.ORCID 0000-0002-5079-0464
Brian DoughertyTranslational Medicine, Oncology R&D, AstraZeneca, Waltham, Massachusetts.
J Carl BarrettTranslational Medicine, Oncology R&D, AstraZeneca, Waltham, Massachusetts.
Ruth MarchPrecision Medicine and Biosamples, Oncology R&D, AstraZeneca, Cambridge, UK.
Athena MatakidouCentre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.ORCID 0000-0002-8656-3802
Patricia RoxburghInstitute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, University of Glasgow, Belfast, UK.ORCID 0000-0001-9869-591X
Colin A SempleMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-1765-4118
D Paul HarkinAlmac Diagnostics, Craigavon, UK.
Richard KennedyAlmac Diagnostics, Craigavon, UK.
C Simon HerringtonNicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-9177-8165
Charlie GourleyNicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-2377-7221
Edinburgh Cancer Research · GBAstraZeneca (Brazil) · BRJikei University School of Medicine · JPQueen's University Belfast · GBAstraZeneca (Australia) · AUAstraZeneca (Singapore) · SGBeatson West of Scotland Cancer Centre · GBBelfast Health and Social Care Trust · GBEdinburgh Royal Infirmary · GBNHS Lothian · GB

Funding

Cancer Research UKMedical Research Council I171113-1019Medical Research Council MC_UU_00007/16
6 · The paper itself

Abstract

purposeHigh-grade serous ovarian carcinoma (HGSOC) is the most common ovarian cancer type; most patients experience disease recurrence that accumulates chemoresistance, leading to treatment failure. Genomic and transcriptomic features have been associated with differential outcome and treatment response. However, the relationship between events at the gene sequence, copy number, and gene-expression levels remains poorly defined. EXPERIMENTAL

designWe perform multiomic characterization of a large HGSOC cohort (n = 362) with detailed clinical annotation to interrogate the relationship between patient subgroups defined by specific molecular events.

resultsBRCA2-mutant (BRCA2m) and EMSY-overexpressing cases demonstrated prolonged survival [multivariable hazard ratios (HR) 0.40 and 0.51] and significantly higher first- and second-line chemotherapy response rate. CCNE1-gained (CCNE1g) cases demonstrated underrepresentation of FIGO stage IV cases, with shorter survival but no significant difference in treatment response. We demonstrate marked overlap between the TCGA- and Tothill-derived subtypes. IMR/C2 cases displayed higher BRCA1/2m frequency (25.5%, 32.5%) and significantly greater immune cell infiltration, whereas PRO/C5 cases had the highest CCNE1g rate (23.9%, 22.2%) and were uniformly low in immune cell infiltration. The survival benefit for cases with aberrations in homologous recombination repair (HRR) genes was apparent across all transcriptomic subtypes (HR range, 0.48-0.68). There was significant co-occurrence of RB loss and HRR gene aberrations; RB loss was further associated with favorable survival within HRR-aberrant cases (multivariable HR, 0.50).

conclusionsThese data paint a high-resolution picture of the molecular landscape in HGSOC, better defining patients who may benefit most from specific molecular therapeutics and highlighting those for whom novel treatment strategies are needed to improve outcomes.

Indexed as

Cystadenocarcinoma, SerousOvarian NeoplasmsCarcinoma, Ovarian EpithelialFemaleGenes, BRCA2HumansNeoplasm GradingNeoplasm Recurrence, Local

Identifiers

PMID35696721
PMCPMC9662902
OpenAlexW4282931380

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.