Evidence map›Paper›PMID 38308423›Full record

ArticleCancer medicine2024

Genomic disparity impacts variant classification of cancer susceptibility genes in Turkish breast cancer patients.

Nihat B Agaoglu, Busra Unal, Connor P Hayes, McKenzie Walker, Ozden Hatirnaz Ng, Levent Doganay, Nisan D Can, Huma Q Rana, Arezou A Ghazani

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Nihat B AgaogluDepartment of Medical Genetics, Division of Cancer Genetics, Umraniye Training and Research Hospital, Istanbul, Turkey.ORCID 0000-0002-9336-0552
Busra UnalDepartment of Medical Genetics, Division of Cancer Genetics, Umraniye Training and Research Hospital, Istanbul, Turkey.
Connor P HayesDivision of Genetics, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0001-7857-8652
McKenzie WalkerDivision of Genetics, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Ozden Hatirnaz NgDepartment of Medical Biology, School of Medicine, Acibadem University, Istanbul, Turkey.
Levent DoganayDepartment of Medical Genetics, Division of Cancer Genetics, Umraniye Training and Research Hospital, Istanbul, Turkey.
Nisan D CanDepartment of Molecular Biology Genetics and Biotechnology, Istanbul Technical University, Istanbul, Turkey.
Huma Q RanaDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Arezou A GhazaniDivision of Genetics, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-4439-8554
Brigham and Women's Hospital · USÜmraniye Eğitim ve Araştırma Hastanesi · TRAcıbadem University · TRIstanbul Technical University · TR

Funding

The Istanbul Development Agency (ISTKA) Number YNY2016/144
6 · The paper itself

Abstract

objectiveTurkish genome is underrepresented in large genomic databases. This study aims to evaluate the effect of allele frequency in the Turkish population in determining the clinical utility of germline findings in breast cancer, including invasive lobular carcinoma (ILC), mixed invasive ductal and lobular carcinoma (IDC-L), and ductal carcinoma (DC).

methodsTwo clinic-based cohorts from the Umraniye Research and Training Hospital (URTH) were used in this study: a cohort consisting of 132 women with breast cancer and a non-cancer cohort consisting of 492 participants. The evaluation of the germline landscape was performed by analysis of 27 cancer genes. The frequency and type of variants in the breast cancer cohort were compared to those in the non-cancer cohort to investigate the effect of population genetics. The variant allele frequencies in Turkish Variome and gnomAD were statistically evaluated.

resultsThe genetic analysis identified 121 variants in the breast cancer cohort (actionable = 32, VUS = 89) and 223 variants in the non-cancer cohort (actionable = 25, VUS = 188). The occurrence of 21 variants in both suggested a possible genetic population effect. Evaluation of allele frequency of 121 variants from the breast cancer cohort showed 22% had a significantly higher value in Turkish Variome compared to gnomAD (p < 0.0001, 95% CI) with a mean difference of 60 times (ranging from 1.37-354.4). After adjusting for variant allele frequency using the ancestry-appropriate database, 6.7% (5/75) of VUS was reclassified to likely benign.

conclusionTo our knowledge, this is the first study of population genetic effects in breast cancer subtypes in Turkish women. Our findings underscore the need for a large genomic database representing Turkish population-specific variants. It further highlights the significance of the ancestry-appropriate population database for accurate variant assessment in clinical settings.

Indexed as

Breast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularFemaleGenomicsHumansOncogenesbreast cancercancer geneticsmolecular geneticsnext-generation sequencing

Identifiers

PMID38308423
PMCPMC10905328
OpenAlexW4391512430

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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.