Evidence map›Paper›PMID 38589970›Full record

ArticleGenome medicine2024

Smoking-associated gene expression alterations in nasal epithelium reveal immune impairment linked to lung cancer risk.

Maria Stella de Biase, Florian Massip, Tzu-Ting Wei, Federico M Giorgi, Rory Stark, Amanda Stone, Amy Gladwell, Martin O'Reilly, Daniel Schütte, Ines de Santiago and 5 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
6.0field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 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

15 authors at 6 institutions in 4 countries.

Maria Stella de Biase *Berlin Institute of Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Hannoversche Strasse 28, 10115, Berlin, Germany. mariastella.debiase@gmail.com.
Florian Massip *Berlin Institute of Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Hannoversche Strasse 28, 10115, Berlin, Germany. florian.massip@mines-paristech.fr.
Tzu-Ting WeiBerlin Institute of Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Hannoversche Strasse 28, 10115, Berlin, Germany.
Federico M GiorgiCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK.ORCID 0000-0002-7325-9908
Rory StarkCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK.
Amanda StonePapworth Trials Unit Collaboration, Department of Oncology, Royal Papworth Hospital NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0AY, UK.
Amy GladwellPapworth Trials Unit Collaboration, Department of Oncology, Royal Papworth Hospital NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0AY, UK.
Martin O'ReillyCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK.
Daniel SchütteInstitute for Computational Cancer Biology (ICCB), Center for Integrated Oncology (CIO), Cancer Research Center Cologne Essen (CCCE), Faculty of Medicine and University Hospital Cologne, University of Cologne, Am Weyertal 115C, Gebäude 74, 50931, Cologne, Germany.
Ines de SantiagoCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK.
Kerstin B MeyerCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK.ORCID 0000-0001-5906-1498
Florian MarkowetzCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK.
Bruce A J Ponder *Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK. bruce.ponder@cruk.cam.ac.uk.
Robert C Rintoul *Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK. robert.rintoul@nhs.net.ORCID 0000-0003-3875-3780
Roland F Schwarz *Berlin Institute of Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Hannoversche Strasse 28, 10115, Berlin, Germany. roland.schwarz@iccb-cologne.org.ORCID 0000-0001-9155-4268
University of Cambridge · GBMax Delbrück Center · DEPapworth Hospital NHS Foundation Trust · GBHelmholtz Association of German Research Centres · DEInserm · FRUniversity of Cologne · DE

Funding

Cancer Research UK BRC-1215-20014Cancer Research UK C14303/A17197, A19274Cancer Research UK C9685/A25117Cancer Research UK CTRQQR-2021\100012
6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer-related death in the world. In contrast to many other cancers, a direct connection to modifiable lifestyle risk in the form of tobacco smoke has long been established. More than 50% of all smoking-related lung cancers occur in former smokers, 40% of which occur more than 15 years after smoking cessation. Despite extensive research, the molecular processes for persistent lung cancer risk remain unclear. We thus set out to examine whether risk stratification in the clinic and in the general population can be improved upon by the addition of genetic data and to explore the mechanisms of the persisting risk in former smokers.

methodsWe analysed transcriptomic data from accessible airway tissues of 487 subjects, including healthy volunteers and clinic patients of different smoking statuses. We developed a computational model to assess smoking-associated gene expression changes and their reversibility after smoking is stopped, comparing healthy subjects to clinic patients with and without lung cancer.

resultsWe find persistent smoking-associated immune alterations to be a hallmark of the clinic patients. Integrating previous GWAS data using a transcriptional network approach, we demonstrate that the same immune- and interferon-related pathways are strongly enriched for genes linked to known genetic risk factors, demonstrating a causal relationship between immune alteration and lung cancer risk. Finally, we used accessible airway transcriptomic data to derive a non-invasive lung cancer risk classifier.

conclusionsOur results provide initial evidence for germline-mediated personalized smoke injury response and risk in the general population, with potential implications for managing long-term lung cancer incidence and mortality.

Indexed as

Lung NeoplasmsHumansLungNasal MucosaNicotianaSmokingTranscriptome

Identifiers

PMID38589970
PMCPMC11000304
OpenAlexW4394578001

What OpenQuestion holds

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LicenceCC BY
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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.