Evidence map›Paper›PMID 37955902›Full record

ArticleJAMA network open2023

Polygenic Risk Score, Environmental Tobacco Smoke, and Risk of Lung Adenocarcinoma in Never-Smoking Women in Taiwan.

Batel Blechter, Li-Hsin Chien, Tzu-Yu Chen, I-Shou Chang, Parichoy Pal Choudhury, Chin-Fu Hsiao, Xiao-Ou Shu, Jason Y Y Wong, Kuan-Yu Chen, Gee-Chen Chang and 16 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07383454 (Lung Cancer Screening in Population Who Had Never Smoked and the Validation of Lung Cancer Risk Prediction Model), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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.

NCT07383454 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Lung Cancer Screening in Population Who Had Never Smoked and the Validation of Lung Cancer Risk Prediction Model

TypeinterventionalSponsorChung Shan Medical UniversityRan2026 to 2034Enrolled2,500ConditionsLung Cancer (Diagnosis), Non-Small Cell Lung Cancer, Small Cell Carcinoma of Lung, Screening StrategyArmsLow dose computed tomography
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Lung Cancer Screening and Prevention: Beyond Conventional Strategies in a Rapidly Changing Global Milieu.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2026
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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

26 authors at 13 institutions in 3 countries.

Batel BlechterDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
Li-Hsin ChienInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Tzu-Yu ChenInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
I-Shou ChangNational Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan.
Parichoy Pal ChoudhuryDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
Chin-Fu HsiaoInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Jason Y Y WongDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
Kuan-Yu ChenDepartment of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan.
Gee-Chen ChangSchool of Medicine and Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Ying-Huang TsaiDepartment of Respiratory Therapy, Chang Gung University, Taoyuan, Taiwan.
Wu-Chou SuDepartment of Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Ming-Shyan HuangDepartment of Internal Medicine, E-Da Cancer Hospital, School of Medicine, I-Shou University, Kaohsiung, Taiwan.
Yuh-Min ChenSchool of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chih-Yi ChenInstitute of Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan.
Hsiao-Han HungNational Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan.
Jia-Wei HuInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Jianxin ShiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Anne F RositchDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Chien-Jen ChenGenomics Research Center, Academia Sinica, Taipei, Taiwan.
Nilanjan ChatterjeeDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Pan-Chyr YangDepartment of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan.
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
Chao Agnes HsiungInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Qing LanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
National Health Research Institutes · TWNational Institutes of Health · USGenomics Research Center, Academia Sinica · TWJohns Hopkins University · USNational Cancer Institute · USNational Taiwan University Hospital · TWVanderbilt University Medical Center · USChang Gung University · TWChung Yuan Christian University · TWI-Shou University · TWNational Cheng Kung University Hospital · TWTaichung Veterans General Hospital · TWTaipei Veterans General Hospital · TW

Funding

Robust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk PredictionR01HG010480 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI CHATTERJEE, NILANJAN · 2019 to 2023
$2.8M
NHGRI NIH HHS R01 HG010480
6 · The paper itself

Abstract

Importance: Estimating absolute risk of lung cancer for never-smoking individuals is important to inform lung cancer screening programs. Objectives: To integrate data on environmental tobacco smoke (ETS), a known lung cancer risk factor, with a polygenic risk score (PRS) that captures overall genetic susceptibility, to estimate the absolute risk of lung adenocarcinoma (LUAD) among never-smokers in Taiwan. Design, Setting, and Participants: The analyses were conducted in never-smoking women in the Taiwan Genetic Epidemiology Study of Lung Adenocarcinoma, a case-control study. Participants were recruited between September 17, 2002, and March 30, 2011. Data analysis was performed from January 17 to July 15, 2022. Exposures: A PRS was derived using 25 genetic variants that achieved genome-wide significance (P < 5 × 10-8) in a recent genome-wide association study, and ETS was defined as never exposed, exposed at home or at work, and exposed at home and at work. Main Outcomes and Measures: The Individualized Coherent Absolute Risk Estimator software was used to estimate the lifetime absolute risk of LUAD in never-smoking women aged 40 years over a projected 40-year span among the controls by using the relative risk estimates for the PRS and ETS exposures, as well as age-specific lung cancer incidence rates for never-smokers in Taiwan. Likelihood ratio tests were conducted to assess an additive interaction between the PRS and ETS exposure. Results: Data were obtained on 1024 women with LUAD (mean [SD] age, 59.6 [11.4] years, 47.9% ever exposed to ETS at home, and 19.5% ever exposed to ETS at work) and 1024 controls (mean [SD] age, 58.9 [11.0] years, 37.0% ever exposed to ETS at home, and 14.3% ever exposed to ETS at work). The overall average lifetime 40-year absolute risk of LUAD estimated using PRS alone was 2.5% (range, 0.6%-10.3%) among women never exposed to ETS. When integrating both ETS and PRS data, the estimated absolute risk was 3.7% (range, 0.6%-14.5%) for women exposed to ETS at home or work and 5.3% (range, 1.2%-12.1%) for women exposed to ETS at home and work. A super-additive interaction between ETS and the PRS (P = 6.5 × 10-4 for interaction) was identified. Conclusions and Relevance: This study found differences in absolute risk of LUAD attributed to genetic susceptibility according to levels of ETS exposure in never-smoking women. Future studies are warranted to integrate these findings in expanded risk models for LUAD.

Indexed as

Adenocarcinoma of LungLung NeoplasmsTobacco Smoke PollutionCase-Control StudiesEarly Detection of CancerFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMiddle AgedRisk FactorsSmokingTaiwanTobacco Smoke Pollution

Identifiers

PMID37955902
PMCPMC10644212
OpenAlexW4388627396

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.