Evidence map›Paper›PMID 35595947›Full record

ArticleEuropean journal of epidemiology2022

Epigenetic mechanisms of lung carcinogenesis involve differentially methylated CpG sites beyond those associated with smoking.

Dusan Petrovic, Barbara Bodinier, Sonia Dagnino, Matthew Whitaker, Maryam Karimi, Gianluca Campanella, Therese Haugdahl Nøst, Silvia Polidoro, Domenico Palli, Vittorio Krogh and 15 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

25 authors at 14 institutions in 7 countries.

Dusan Petrovic *Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
Barbara Bodinier *Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
Sonia DagninoDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
Matthew WhitakerDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
Maryam KarimiDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
Gianluca CampanellaDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
Therese Haugdahl NøstDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Silvia PolidoroItalian Institute for Genomic Medicine, Turin, Italy.
Domenico PalliMolecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute-ISPO, Florence, Italy.
Vittorio KroghEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Rosario TuminoHyblean Association for Epidemiological Research, AIRE- ONLUS, Ragusa, Italy.
Carlotta SacerdoteUnit of Cancer Epidemiology Città Della Salute e della Scienza University-Hospital, Via Santena 7, 10126, Turin, Italy.
Salvatore PanicoDepartment of Clinical Medicine and Surgery, Federico II University, Naples, Italy.
Eiliv LundDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Pierre-Antoine DuguéCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
Graham G GilesCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
Gianluca SeveriCentre for Research in Epidemiology and Population Health, Inserm (Institut National de La Sante Et de a Recherche Medicale), Villejuif, France.
Melissa SoutheyCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
Paolo VineisDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
Silvia StringhiniDepartment of Epidemiology and Health Systems (DESS), University Centre for General Medicine and Public Health (UNISANTE), Lausanne, Switzerland.
Murielle BochudDepartment of Epidemiology and Health Systems (DESS), University Centre for General Medicine and Public Health (UNISANTE), Lausanne, Switzerland.
Torkjel M SandangerDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Roel C H VermeulenDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
Florence Guida *Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
Marc Chadeau-Hyam *Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK. m.chadeau@imperial.ac.uk.ORCID http://orcid.org/0000-0001-8341-5436
Imperial College London · GBThe University of Melbourne · AUInserm · FRUiT The Arctic University of Norway · NOUniversity Hospital of Geneva · CHUtrecht University · NLCancer Registry of Norway · NOCentre international de recherche sur le cancer · FRCentre universitaire de médecine générale et santé publique, Lausanne · CHFederico II University Hospital · ITFondazione IRCCS Istituto Nazionale dei Tumori · ITItalian Association for Cancer Research · ITItalian institute for Genomic Medicine · ITPiedmont Reference Center for Epidemiology and Cancer Prevention · IT

Funding

Cancer Research UK 22184European Research Council ERC-2008-AdG-232997Medical Research Council MR/S019669/1World Health Organization 001
6 · The paper itself

Abstract

Smoking-related epigenetic changes have been linked to lung cancer, but the contribution of epigenetic alterations unrelated to smoking remains unclear. We sought for a sparse set of CpG sites predicting lung cancer and explored the role of smoking in these associations. We analysed CpGs in relation to lung cancer in participants from two nested case-control studies, using (LASSO)-penalised regression. We accounted for the effects of smoking using known smoking-related CpGs, and through conditional-independence network. We identified 29 CpGs (8 smoking-related, 21 smoking-unrelated) associated with lung cancer. Models additionally adjusted for Comprehensive Smoking Index-(CSI) selected 1 smoking-related and 49 smoking-unrelated CpGs. Selected CpGs yielded excellent discriminatory performances, outperforming information provided by CSI only. Of the 8 selected smoking-related CpGs, two captured lung cancer-relevant effects of smoking that were missed by CSI. Further, the 50 CpGs identified in the CSI-adjusted model complementarily explained lung cancer risk. These markers may provide further insight into lung cancer carcinogenesis and help improving early identification of high-risk patients.

Indexed as

Lung NeoplasmsSmokingCarcinogenesisCpG IslandsDNA MethylationEpigenesis, GeneticHumansLungDNA methylationLung cancerPartial correlation networkSmokingVariable selection

Identifiers

PMID35595947
PMCPMC9288379
OpenAlexW4280612956

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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.