Evidence map›Paper›PMID 37196218›Full record

ArticleJCO precision oncology2023

Diagnosis of Ovarian Carcinoma Homologous Recombination DNA Repair Deficiency From Targeted Gene Capture Oncology Assays.

Niklas Krumm, Nithisha S Khasnavis, Marc Radke, Kalyan Banda, Helen R Davies, Christopher Pennil, Kathryn McLean, Vera A Paulson, Eric Q Konnick, Winslow C Johnson and 5 more

Open access · greenAbstract read
In one paragraph

Article in JCO precision oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
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 at 2 institutions in 2 countries.

Niklas KrummDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA.
Nithisha S KhasnavisDepartment of Obstetrics & Gynecology, University of Washington School of Medicine, Seattle, WA.
Marc RadkeDepartment of Obstetrics & Gynecology, University of Washington School of Medicine, Seattle, WA.ORCID 0000-0003-0983-7838
Kalyan BandaDepartment of Medicine, Oncology Division, University of Washington School of Medicine, Seattle, WA.ORCID 0000-0003-2581-6906
Helen R DaviesAcademic Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-6381-3664
Christopher PennilDepartment of Obstetrics & Gynecology, University of Washington School of Medicine, Seattle, WA.ORCID 0009-0007-2950-9037
Kathryn McLeanDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA.
Vera A PaulsonDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA.ORCID 0000-0003-4157-2534
Eric Q KonnickDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA.ORCID 0000-0001-5904-1788
Winslow C JohnsonDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA.
Grogan HuffDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA.
Serena Nik-ZainalAcademic Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Elizabeth M SwisherDepartment of Obstetrics & Gynecology, University of Washington School of Medicine, Seattle, WA.
Christina M LockwoodDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA.ORCID 0000-0001-9036-7604
Stephen J SalipanteDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA.ORCID 0000-0001-8355-6992
University of Washington · USUniversity of Cambridge · GB

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 22932Cancer Research UK 23433Cancer Research UK 23916Cancer Research UK 27815Medical Research Council MC_PC_21026NCI NIH HHS R01 CA237600
6 · The paper itself

Abstract

purposeHomologous recombination DNA repair deficiency (HRD) is a therapeutic biomarker for sensitivity to platinum and poly(ADP-ribose) polymerase inhibitor therapies in breast and ovarian cancers. Several molecular phenotypes and diagnostic strategies have been developed to assess HRD; however, their clinical implementation remains both technically challenging and methodologically unstandardized.

methodsWe developed and validated an efficient and cost-effective strategy for HRD determination on the basis of calculation of a genome-wide loss of heterozygosity (LOH) score through targeted, hybridization capture and next-generation DNA sequencing augmented with 3,000 common, polymorphic single-nucleotide polymorphism (SNP) sites distributed genome-wide. This approach requires minimal sequence reads and can be readily integrated into targeted gene capture workflows already in use for molecular oncology. We interrogated 99 ovarian neoplasm-normal pairs using this method and compared results with patient mutational genotypes and orthologous predictors of HRD derived from whole-genome mutational signatures.

resultsLOH scores of ≥11% had >86% sensitivity for identifying tumors with HRD-causing mutations in an independent validation set (90.6% sensitivity for all specimens). We found strong agreement of our analytic approach with genome-wide mutational signature assays for determining HRD, yielding an estimated 96.7% sensitivity and 50% specificity. We observed poor concordance with mutational signatures inferred using only mutations detected by the targeted gene capture panel, suggesting inadequacy of the latter approach. LOH score did not significantly correlate with treatment outcomes.

conclusionTargeted sequencing of genome-wide polymorphic SNP sites can be used to infer LOH events and subsequently diagnose HRD in ovarian tumors. The methods presented here are readily generalizable to other targeted gene oncology assays and could be adapted for HRD diagnosis in other tumor types.

Indexed as

Antineoplastic AgentsOvarian NeoplasmsCarcinoma, Ovarian EpithelialFemaleHomologous RecombinationHumansMutationPoly(ADP-ribose) Polymerase InhibitorsRecombinational DNA RepairAntineoplastic AgentsPoly(ADP-ribose) Polymerase Inhibitors

Identifiers

PMID37196218
PMCPMC10309534
OpenAlexW4376868636

What OpenQuestion holds

Textmetadata
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.