Evidence map›Paper›PMID 41507563›Full record

SynthesisBritish journal of cancer2026

The current state of polygenic scores for the development of lung cancer: a systematic review and validation in UK Biobank.

Bayan Galal, Joe Dennis, Antonis C Antoniou, Hannah Harrison

Abstract readSystematic Review
In one paragraph

Synthesis in British journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Bayan GalalPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-8821-864X
Joe DennisCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-4591-1214
Antonis C AntoniouCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Hannah HarrisonCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. hh504@medschl.cam.ac.uk.ORCID http://orcid.org/0000-0001-8952-852X

Funding

Cancer Research UK (CRUK) EDDAPA-2022/100001Cancer Research UK (CRUK) PPRPGM-Nov20\100002DH | National Institute for Health Research (NIHR) NIHR203312
6 · The paper itself

Abstract

backgroundRisk-stratified lung cancer screening programs identify high-risk individuals who use tobacco but do not account for underlying genetic susceptibility. Many polygenic scores (PGS) have been developed for lung cancer, but it is unclear which, if any, are suitable for identifying high-risk individuals in the general population.

methodsWe used a systematic review to identify published lung cancer PGS, which were implemented and validated in the UK Biobank (UKB) cohort. Performance (discrimination and accuracy) was compared. Subgroup analyses by sex, ethnicity, and smoking status identified differences across the population.

resultsWe identified 60 lung cancer PGS published since 2012. Most scores were associated with lung cancer risk in UKB. Of the 39 evaluated PGS, 33 had a hazard ratio per standard deviation greater than 1.1 and 22 had a C-index greater than 0.55. Most PGS perform better in individuals who use tobacco than those who do not, although for a small number of scores (n = 8) the reverse is true. DISCUSSION: Performance of lung cancer PGS is weak compared to scores for other cancers; the potential benefit of combining genetics with other risk factors for lung cancer remains unclear. Selection of a suitable score is context dependent and requires consideration of the characteristics of the target population (such as ethnicity and tobacco usage).

Indexed as

Lung NeoplasmsBiological Specimen BanksFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMaleRisk FactorsSmokingUK BiobankUnited Kingdom

Identifiers

PMID41507563
PMCPMC12960659

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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.