Evidence map›Paper›PMID 37364234›Full record

ArticleJCO precision oncology2023

Normalized LST Is an Efficient Biomarker for Homologous Recombination Deficiency and Olaparib Response in Ovarian Carcinoma.

Yann Christinat, Liza Ho, Sophie Clément, Catherine Genestie, Jalid Sehouli, Saverio Cinieri, Antonio Gonzalez Martin, Ursula Denison, Keiichi Fujiwara, Ignace Vergote and 5 more

Erratum issuedOpen access · hybridAbstract 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. An erratum has been issued. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
6.0field-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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  8. Evaluation of homologous recombination testing in ovarian carcinoma.Virchows Archiv : an international journal of pathology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 12 institutions in 8 countries.

Yann ChristinatHôpitaux Universitaires de Genève, Department of Clinical Pathology, Geneva, Switzerland.ORCID 0000-0002-4977-1362
Liza HoHôpitaux Universitaires de Genève, Department of Clinical Pathology, Geneva, Switzerland.
Sophie ClémentUniversité de Genève, Geneva, Switzerland.
Catherine GenestieGustave Roussy, Paris, France.
Jalid SehouliCharité-Universitätsmedizin Berlin (CVK), Berlin, Germany.
Saverio CinieriU.O.C. Oncologia Medica-Ospedale Senatore Antonio Perrino (Brindisi), Italy.
Antonio Gonzalez MartinU.O.C. Oncologia Medica-Ospedale Senatore Antonio Perrino (Brindisi), Italy.
Ursula DenisonMedical Oncology Departament, Clinica Universidad de Navarra, Madrid, Spain.
Keiichi FujiwaraDepartment for Gynaecology and Obstetrics, Institute for gynaecological oncology und senology-Karl Landsteiner, Vienna, Austria.ORCID 0000-0002-7388-0243
Ignace VergoteSaitama Medical University International Medical Center, Saitama, Japan.ORCID 0000-0002-7589-8981
Germana TognonUniversity Hospitals Leuven and Leuven Cancer Institute, Leuven, Belgium.
Sakari HietanenSpedali Civili di Brescia, Brescia, Italy.
Isabelle Ray-CoquardTurku University Hospital, Department of Obstetrics and Gynecology, Turku, Finland.ORCID 0000-0003-2472-8306
Eric Pujade-LauraineCentre Leon Bérard and University Claude Bernard Lyon I, Lyon, France.ORCID 0000-0002-0759-7263
Thomas A McKeeHôpitaux Universitaires de Genève, Department of Clinical Pathology, Geneva, Switzerland.ORCID 0000-0002-2147-3136
Hôpital Beau-Séjour · CHArcagy Gineco · FRAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITCharité - Universitätsmedizin Berlin · DEClinica Universidad de Navarra · ESInstitut Gustave Roussy · FRKarl Landsteiner Society · ATOspedale A. Perrino · ITSaitama International Medical Center · JPTurku University Hospital · FIUniversité Claude Bernard Lyon 1 · FRUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe efficiency of the Myriad Homologous Recombination Deficiency (HRD) test to guide the use of poly (ADP-ribose) polymerase (PARP) inhibitors has been demonstrated in several phase III trials. However, a need exists for alternative clinically validated tests.

methodsA novel biomarker for HRD was developed using The Cancer Genome Atlas database and, as part of the ENGOT HRD European Initiative, applied to 469 samples from the PAOLA-1/ENGOT-ov25 trial. Results were compared with the Myriad myChoice Genomic Instability Score (GIS) with respect to the progression-free survival in the olaparib + bevacizumab and placebo + bevacizumab arms.

resultsAnalysis of the TCGA cohort revealed that a normalization of the number of large-scale state transitions by the number of whole-genome doubling events allows a better separation and classification of HRD samples than the GIS. Analysis of the PAOLA-1 samples, using the Geneva test (OncoScan + nLST), yielded a lower failure rate (27 of 469

conclusionThe proposed test efficiently separates HRD-positive from HRD-negative patients, predicts response to PARP inhibition, and can be easily deployed in a clinical laboratory for routine practice. The performance is similar to the available commercial test, but its lower failure rate allows an increase in the number of patients who will receive a conclusive laboratory result.

Indexed as

CarcinomaOvarian NeoplasmsBevacizumabBiomarkersCarcinoma, Ovarian EpithelialFemaleHomologous RecombinationHumansPhthalazinesPiperazinesPoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) PolymerasesBevacizumabBiomarkersolaparibPhthalazinesPiperazinesPoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) Polymerases

Identifiers

PMID37364234
PMCPMC10581603
OpenAlexW4382051027

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.