Evidence map›Paper›PMID 41954593›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2026

Opportunistic Screening of High-Risk Breast Cancer Variants in Hospital Biobank Setting.

Minja Pehrsson, Eveliina Jakkula, Kimmo Ala-Kulju, Anu Loukola, Janita Niemelä, Katja Löfman, Anna-Kaisa Anttonen, Tuomo Meretoja, Johanna Mattson, Maarit Lappalainen and 2 more

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 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

12 authors.

Minja PehrssonHelsinki Biobank, Helsinki University Hospital, Helsinki, Finland.ORCID 0009-0002-0755-1844
Eveliina JakkulaClinical Genetics Unit, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0001-9687-7787
Kimmo Ala-KuljuHelsinki Biobank, Helsinki University Hospital, Helsinki, Finland.ORCID 0009-0002-6699-8064
Anu LoukolaHelsinki Biobank, Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0003-0542-5967
Janita NiemeläHelsinki Biobank, Helsinki University Hospital, Helsinki, Finland.ORCID 0009-0008-9793-5465
Katja LöfmanClinical Genetics Unit, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland.ORCID 0009-0001-3369-1800
Anna-Kaisa AnttonenClinical Genetics Unit, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0002-9749-7767
Tuomo MeretojaDivision of Breast Surgery, Comprehensive Cancer Center, Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0002-2691-0710
Johanna MattsonComprehensive Cancer Center, Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0002-9719-9110
Maarit LappalainenLaboratory of Genetics, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland.ORCID 0009-0007-4067-579X
Minna Pöyhönen *Clinical Genetics Unit, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0003-2037-2744
Olli Carpén *Helsinki Biobank, Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0002-7847-5706

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic data accumulating in biobanks provide novel possibilities for personalized medicine through opportunistic screening. In this pilot study, we evaluated the applicability and impact of screening pathogenic variants (PVs) of BRCA1, BRCA2, and PALB2 genes predisposing to hereditary breast and ovarian cancer (HBOC), from biobank samples.

methodsPVs of BRCA1, BRCA2, and PALB2 were screened from array-based genotyping data produced in the FinnGen study and returned to Helsinki Biobank (HBB). Samples with suspected variants were validated by sequencing, and novel findings were disclosed to participants who had consented to return of results (RoR). Post-disclosure surveys were conducted to examine participants' experiences and perceptions of receiving genetic results.

resultsOf 103 donors contacted, 71% (n = 73) consented to receiving HBOC risk results. In the cohort of approximately 11,000 HBB donors, 73 carriers of PVs in BRCA1, BRCA2, or PALB2 were identified, representing 0.6% of screened samples. Only 26% (n = 19) of these PVs had been previously identified in healthcare. Among newly identified families, 53% (17/32) met the National Comprehensive Cancer Network criteria for genetic testing. Return of biobank-based screening results led to changes in clinical management in 89% (17/19) of newly identified female PV carriers, with 35% opting for risk-reducing surgery. Survey responses indicated high satisfaction with RoR and perceived personal utility of the information.

conclusionsReturning actionable genetic biobank findings provides clear clinical benefit and is supported by donors. IMPACT: Our results demonstrate that array-based genotyping data produced from biobank samples can serve in personalized disease-risk screening and preventive medicine.

Indexed as

Biological Specimen BanksBreast NeoplasmsEarly Detection of CancerGenetic TestingReturn of Individual Research ResultsAdultAgedBRCA1 ProteinBRCA2 ProteinFanconi Anemia Complementation Group N ProteinFemaleGenetic Predisposition to DiseaseHumansMiddle AgedPilot ProjectsBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanFanconi Anemia Complementation Group N ProteinPALB2 protein, human

Identifiers

PMID41954593
PMCPMC13227088

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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.