Evidence map›Paper›PMID 38422475›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2024

Comprehensive Inherited Risk Estimation for Risk-Based Breast Cancer Screening in Women.

Nina Mars, Sini Kerminen, Max Tamlander, Matti Pirinen, Eveliina Jakkula, Kirsimari Aaltonen, Tuomo Meretoja, Sirpa Heinävaara, Elisabeth Widén, Samuli Ripatti and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
16.0field-weighted citation impact, top 1% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Opportunistic Screening of High-Risk Breast Cancer Variants in Hospital Biobank Setting.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Awareness, knowledge, and attitudes toward polygenic risk scores for breast cancer in multiethnic high-risk cohorts of women.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  8. Article
  9. Polygenic risk scores in the clinic: Health-system leaders and primary care providers weigh in.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Review
  15. Article
  16. Review
  17. Breast cancer: pathogenesis and treatments.Signal transduction and targeted therapy · 2025
    Review
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  20. 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

11 authors at 2 institutions in 2 countries.

Nina MarsInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-7259-5993
Sini KerminenInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-6361-6759
Max TamlanderInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-2249-0971
Matti PirinenInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.
Eveliina JakkulaDepartment of Clinical Genetics, HUSLAB, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0001-9687-7787
Kirsimari AaltonenDepartment of Clinical Genetics, HUSLAB, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Tuomo MeretojaBreast Surgery Unit, Comprehensive Cancer Center, Helsinki University Hospital, Helsinki, Finland.
Sirpa HeinävaaraDepartment of Public Health, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-8308-9922
Elisabeth WidénInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-7108-2806
Samuli RipattiInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-0504-1202
FinnGen
University of Helsinki · FIBroad Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFamily history (FH) and pathogenic variants (PVs) are used for guiding risk surveillance in selected high-risk women but little is known about their impact for breast cancer screening on population level. In addition, polygenic risk scores (PRSs) have been shown to efficiently stratify breast cancer risk through combining information about common genetic factors into one measure.

methodsIn longitudinal real-life data, we evaluate PRS, FH, and PVs for stratified screening. Using FinnGen (N = 117,252), linked to the Mass Screening Registry for breast cancer (1992-2019; nationwide organized biennial screening for age 50-69 years), we assessed the screening performance of a breast cancer PRS and compared its performance with FH of breast cancer and PVs in moderate- (

resultsEffect sizes for FH, PVs, and high PRS (>90th percentile) were comparable in screening-aged women, with similar implications for shifting age at screening onset. A high PRS identified women more likely to be diagnosed with breast cancer after a positive screening finding (positive predictive value [PPV], 39.5% [95% CI, 37.6 to 41.5]). Combinations of risk factors increased the PPVs up to 45% to 50%. A high PRS conferred an elevated risk of interval breast cancer (hazard ratio [HR], 2.78 [95% CI, 2.00 to 3.86] at age 50 years; HR, 2.48 [95% CI, 1.67 to 3.70] at age 60 years), and women with a low PRS (<10th percentile) had a low risk for both interval- and screen-detected breast cancers.

conclusionUsing real-life screening data, this study demonstrates the effectiveness of a breast cancer PRS for risk stratification, alone and combined with FH and PVs. Further research is required to evaluate their impact in a prospective risk-stratified screening program, including cost-effectiveness.

Indexed as

Breast NeoplasmsEarly Detection of CancerGenetic Predisposition to DiseaseAgedFemaleHumansMiddle AgedRisk AssessmentRisk Factors

Identifiers

PMID38422475
PMCPMC11095905
OpenAlexW4392281851

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.