Evidence map›Paper›PMID 42201779›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2026

HRDetect in Tubo-ovarian Carcinoma: Stratification and Therapeutic Implications.

Kalyan Banda, Helen R Davies, Yogesh Kumar, Yasin Memari, Andrea Degasperi, Marc Radke, Isabel Rodriguez, Ted A Gooley, Ronit Katz, Francesca Menghi and 5 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Kalyan BandaClinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0003-2581-6906
Helen R DaviesAcademic Department of Medical Genetics and Early Cancer Institute, University of Cambridge, Cambridge Biomedical Research Campus, Cambridge, United Kingdom.ORCID 0000-0001-6381-3664
Yogesh KumarAcademic Department of Medical Genetics and Early Cancer Institute, University of Cambridge, Cambridge Biomedical Research Campus, Cambridge, United Kingdom.ORCID 0000-0002-7187-8078
Yasin MemariAcademic Department of Medical Genetics and Early Cancer Institute, University of Cambridge, Cambridge Biomedical Research Campus, Cambridge, United Kingdom.ORCID 0000-0002-1747-542X
Andrea DegasperiAcademic Department of Medical Genetics and Early Cancer Institute, University of Cambridge, Cambridge Biomedical Research Campus, Cambridge, United Kingdom.ORCID 0000-0001-6879-0596
Marc RadkeDivision of Gynecologic Oncology, University of Washington, Seattle, Washington.ORCID 0000-0003-0983-7838
Isabel RodriguezDivision of Gynecologic Oncology, University of Washington, Seattle, Washington.ORCID 0000-0002-5113-6173
Ted A GooleyClinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0002-8182-3652
Ronit KatzDivision of Gynecologic Oncology, University of Washington, Seattle, Washington.ORCID 0000-0001-7723-7469
Francesca MenghiJackson Laboratory for Genomic Medicine, Farmington, Connecticut.ORCID 0000-0002-7209-251X
Thomas HardingClovis Oncology, Boulder, Colorado.ORCID 0009-0001-8674-3520
Kevin LinClovis Oncology, Boulder, Colorado.ORCID 0000-0003-4305-8352
Edison T LiuJackson Laboratory for Genomic Medicine, Farmington, Connecticut.ORCID 0000-0003-4293-4795
Serena Nik-ZainalAcademic Department of Medical Genetics and Early Cancer Institute, University of Cambridge, Cambridge Biomedical Research Campus, Cambridge, United Kingdom.ORCID 0000-0001-5054-1727
Elizabeth M SwisherClinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0003-2331-0434

Funding

Combined Methylation and Mutation to Predict Response to PARP InhibitorsR01CA237600 · NCI · UNIVERSITY OF WASHINGTON · PI SWISHER, ELIZABETH MARY · 2020 to 2024
$2.9M
Cancer Research UK (CRUK) C60100/A23916Cancer Research UK (CRUK) C60100/A25274Conquer Cancer Foundation (CCF) 2020CDA-6052624677Dr. Josef Steiner Krebsstiftung (Dr. Josef Steiner Cancer Foundation)NCI NIH HHS R01 CA237600NIHR Cambridge Biomedical Research Centre (NIHR Cambridge BRC) BRC-1215-20014NIHR Cambridge Biomedical Research Centre (NIHR Cambridge BRC) NIHR301627U.S. Department of Defense (DOD) OC160274
6 · The paper itself

Abstract

purposeTo evaluate HRDetect, a mutational signature-based algorithm, for prognostic utility in tubo-ovarian carcinoma and to determine if whole-genome sequencing (WGS) with rearrangement signature (RS) analysis can refine genomic classification beyond the traditional homologous recombination-deficient versus homologous recombination-proficient framework. EXPERIMENTAL

designWGS was performed on matched tumor-normal pairs from 185 patients with advanced-stage tubo-ovarian carcinoma from the University of Washington (UW) cohort. HRDetect scores were calculated using substitution signatures, RS, microhomology-mediated deletions, and global loss of heterozygosity. An independent validation cohort (ARIEL2, n = 77) of platinum-sensitive tubo-ovarian carcinoma treated with rucaparib was analyzed to correlate HRDetect with PARP inhibitor (PARPi) response. RS analysis and unsupervised hierarchical clustering were employed to delineate genomic subgroups.

resultsIn the UW cohort, 51.4% of cases were classified as HRDetect-high and had significantly prolonged median overall survival versus others [6.2 vs. 4.1 years; hazard ratio (HR), 0.6; 95% confidence interval (CI), 0.41-0.87; P = 0.007]. Furthermore, 48.4% of HRDetect-high tumors harbored BRCA1/2 mutations or BRCA1 promoter methylation, whereas 22.1% lacked BRCA1/2 alterations. A substantial fraction (23.2%) fell into an HRDetect-intermediate category, highlighting greater genomic heterogeneity than currently appreciated. RS profiling uncovered 11 genomic clusters, with specific RS profiles (RS1, RS14, and RS18) correlating with poor survival. In ARIEL2, HRDetect-high tumors showed better PARPi responses, with improved progression-free survival (11.1 vs. 7.1 months; HR, 0.44; 95% CI, 0.26-0.74; P = 0.03) and response rates (54% vs. 22.5%).

conclusionsHRDetect predicts survival and sensitivity to PARPi in tubo-ovarian carcinoma. Combined with RS-based clustering, it reveals unappreciated genomic heterogeneity and supports a nuanced stratification framework to improve precision oncology in tubo-ovarian carcinoma.

Indexed as

Biomarkers, TumorFallopian Tube NeoplasmsOvarian NeoplasmsAdultAgedFemaleHomologous RecombinationHumansIndolesMiddle AgedMutationPoly(ADP-ribose) Polymerase InhibitorsPrognosisWhole Genome SequencingBiomarkers, TumorIndolesPoly(ADP-ribose) Polymerase Inhibitorsrucaparib

Identifiers

PMID42201779
PMCPMC13367564

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.