ArticleAmerican journal of epidemiology2021
Tracing Lung Cancer Risk Factors Through Mutational Signatures in Never-Smokers.
Article in American journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- Pooled it
- Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population.Nature communications · 2023Pooled it
- A systematic review of genetic ancestry as a risk factor for incidence of non-small cell lung cancer in the US.Frontiers in genetics · 2023Pooled it
- Detection of House Dust Mite-derived DNA in Human Lung Tumors by Whole-Genome Sequencing.Research square · 2026Article
- Examining the role of extrachromosomal DNA in lung cancer.Journal of the National Cancer Institute · 2026Article
- ATP7A and LIAS promote lung adenocarcinoma progression through regulation of cuproptosis.Cancer cell international · 2026Article
- Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2026Article
- Lung Cancer Risk Factors Beyond Smoking in Ethiopia: A Multicenter Matched Case-Control Study.Cancers · 2026Article
- Article
- Microbiome analysis of 940 lung cancers in never-smokers reveals lack of clinically relevant associations.Nature communications · 2025Article
- Stratifying lung adenocarcinoma risk with multi-ancestry polygenic risk scores in East Asian never-smokers.Journal of the National Cancer Institute · 2025Article
- mSigSDK - private computation of mutation signatures.Research square · 2025Article
- Stratifying Lung Adenocarcinoma Risk with Multi-ancestry Polygenic Risk Scores in East Asian Never-Smokers.medRxiv : the preprint server for health sciences · 2025Article
- Article
- Inflammatory diseases and risk of lung cancer among individuals who have never smoked.Nature communications · 2025Article
- Screening for Lung Cancer, Overdiagnosis, and Healthcare Utilization: A Nationwide Population-Based Study.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2025Article
- Deciphering lung adenocarcinoma evolution and the role of LINE-1 retrotransposition.bioRxiv : the preprint server for biology · 2025Article
- Advancing environmental epidemiologic methods to confront the cancer burden.American journal of epidemiology · 2025Article
- Topography of mutational signatures in non-small cell lung cancer: emerging concepts, clinical applications, and limitations.The oncologist · 2024Review
- Harnessing cancer genomes for precision oncology.Nature genetics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
Epidemiologic studies often rely on questionnaire data, exposure measurement tools, and/or biomarkers to identify risk factors and the underlying carcinogenic processes. An emerging and promising complementary approach to investigate cancer etiology is the study of somatic "mutational signatures" that endogenous and exogenous processes imprint on the cellular genome. These signatures can be identified from a complex web of somatic mutations thanks to advances in DNA sequencing technology and analytical algorithms. This approach is at the core of the Sherlock-Lung study (2018-ongoing), a retrospective case-only study of over 2,000 lung cancers in never-smokers (LCINS), using different patterns of mutations observed within LCINS tumors to trace back possible exposures or endogenous processes. Whole genome and transcriptome sequencing, genome-wide methylation, microbiome, and other analyses are integrated with data from histological and radiological imaging, lifestyle, demographic characteristics, environmental and occupational exposures, and medical records to classify LCINS into subtypes that could reveal distinct risk factors. To date, we have received samples and data from 1,370 LCINS cases from 17 study sites worldwide and whole-genome sequencing has been completed on 1,257 samples. Here, we present the Sherlock-Lung study design and analytical strategy, also illustrating some empirical challenges and the potential for this approach in future epidemiologic studies.
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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.