Evidence map›Paper›PMID 37643779›Full record

ArticleCancer genomics & proteomics

Copy Number Variations (CNVs) Account for 10.8% of Pathogenic Variants in Patients Referred for Hereditary Cancer Testing.

Konstantinos Agiannitopoulos, Georgia Pepe, Georgios N Tsaousis, Kevisa Potska, Dimitra Bouzarelou, Anastasia Katseli, Christina Ntogka, Angeliki Meintani, Nikolaos Tsoulos, Stylianos Giassas and 25 more

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Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 11 citations in OpenAlex.

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  10. GermlineProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
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

35 authors at 17 institutions in 4 countries.

Konstantinos AgiannitopoulosGenekor Medical S.A, Athens, Greece; kagiannitopoulos@genekor.com.
Georgia PepeGenekor Medical S.A, Athens, Greece.
Georgios N TsaousisGenekor Medical S.A, Athens, Greece.
Kevisa PotskaGenekor Medical S.A, Athens, Greece.
Dimitra BouzarelouGenekor Medical S.A, Athens, Greece.
Anastasia KatseliGenekor Medical S.A, Athens, Greece.
Christina NtogkaGenekor Medical S.A, Athens, Greece.
Angeliki MeintaniGenekor Medical S.A, Athens, Greece.
Nikolaos TsoulosGenekor Medical S.A, Athens, Greece.
Stylianos GiassasIASO, General Maternity and Gynecology Clinic, Athens, Greece.
Vassileios VenizelosMetropolitan Hospital, Athens, Greece.
Christos MarkopoulosAthens Medical Center, Athens, Greece.
Rodoniki IosifidouTheagenio Anticancer Hospital, Thessaloniki, Greece.
Sofia KarageorgopoulouIASO, General Maternity and Gynecology Clinic, Athens, Greece.
Christos ChristodoulouMetropolitan Hospital, Athens, Greece.
Ioannis NatsiopoulosInterbalkan Medical Center of Thessaloniki, Thessaloniki, Greece.
Konstantinos PapazisisEuromedica General Clinic, Thessaloniki, Greece.
Maria Vasilaki-AntonatouMetropolitan General Hospital, Athens, Greece.
Eleftherios KabletsasUniversity Hospital of Ioannina, Ioannina, Greece.
Amanta PsyrriAttikon University Hospital, Athens, Greece.
Dimitrios ZiogasGeneral Hospital of Athens "LAIKO", Athens, Greece.
Efthalia LallaAthens Medical Center, Athens, Greece.
Anna KoumarianouAttikon University Hospital, Athens, Greece.
Kornilia AnastasakouMetropolitan Hospital, Athens, Greece.
Christos PapadimitriouAlexandra Regional General Hospital, Athens, Greece.
Vahit OzmenFaculty of Medicine, Istanbul University, Istanbul, Turkey.
Sualp TansanTansan Oncology, Istanbul, Turkey.
Kerim KabanAmerican Hospital, Istanbul, Turkey.
Tahsin OzatliIstinye University Hospital, Istanbul, Turkey.
Dan Tudor EniuInstitutul Oncologic Prof. Dr. I. Chiricuta, Cluj, Romania.
Angelica ChioreanMedimages, Cluj, Romania.
Alexandru BlidaruInstitutul Oncologic, Bucharest, Romania.
Marrit RinsmaMRC Holland, Amsterdam, the Netherlands.
Eirini PapadopoulouGenekor Medical S.A, Athens, Greece.
George NasioulasGenekor Medical S.A, Athens, Greece.
Athens Medical Center · GRMetropolitan Hospital · GRLETO Maternity Hospital · GRUniversity General Hospital Attikon · GRAlexandra Hospital · GRAmerikan Hastanesi · TREuromedica · GRInstitute of Oncology Prof. Dr. Ion Chiricuta · ROInstitutul Oncologic Bucuresti · ROInterbalkan Medical Center · GRIstanbul University · TRIstinye University · TRLaiko General Hospital of Athens · GRMRC Holland (Netherlands) · NLSpitalul Clinic Județean de Urgență Cluj-Napoca · ROTheageneio General Hospital · GRUniversity Hospital of Ioannina · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimGermline copy number variation (CNV) is a type of genetic variant that predisposes significantly to inherited cancers. Today, next-generation sequencing (NGS) technologies have contributed to multi gene panel analysis in clinical practice. MATERIALS AND

methodsA total of 2,163 patients were screened for cancer susceptibility, using a solution-based capture method. A panel of 52 genes was used for targeted NGS. The capture-based approach enables computational analysis of CNVs from NGS data. We studied the performance of the CNV module of the commercial software suite SeqPilot (JSI Medical Systems) and of the non-commercial tool panelcn.MOPS. Additionally, we tested the performance of digital multiplex ligation-dependent probe amplification (digitalMLPA).

resultsPathogenic/likely pathogenic variants (P/LP) were identified in 464 samples (21.5%). CNV accounts for 10.8% (50/464) of pathogenic variants, referring to deletion/duplication of one or more exons of a gene. In patients with breast and ovarian cancer, CNVs accounted for 10.2% and 6.8% of pathogenic variants, respectively. In colorectal cancer patients, CNV accounted for 28.6% of pathogenic/likely pathogenic variants.

conclusionIn silico CNV detection tools provide a viable and cost-effective method to identify CNVs from NGS experiments. CNVs constitute a substantial percentage of P/LP variants, since they represent up to one of every ten P/LP findings identified by NGS multigene analysis; therefore, their evaluation is highly recommended to improve the diagnostic yield of hereditary cancer analysis.

Indexed as

DNA Copy Number VariationsOvarian NeoplasmsExonsFemaleGenetic Predisposition to DiseaseGenetic TestingHigh-Throughput Nucleotide SequencingHumansCNVscomputational CNV analysisdigital MLPAHereditary cancerMLPA

Identifiers

PMID37643779
PMCPMC10464942
OpenAlexW4386264259

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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.