Evidence map›Paper›PMID 42349086›Full record

ArticleLung cancer (Amsterdam, Netherlands)2026

Characterization of the cancer-associated field of injury in the nasal epithelium in never-smokers.

Minyi Lee, Megumi Yokomizo, Ramin Salehi-Rad, Ehab Billatos, Xiaohui Xiao, Gang Liu, Preeti Ahuja, Ashley Prosper, Steven Dubinett, William Hsu and 3 more

Abstract read
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Minyi LeeSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States; Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States.
Megumi YokomizoDepartment of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, United States.
Ramin Salehi-RadDepartment of Medicine, David Geffen School of Medicine, The University of California at Los Angeles, Los Angeles, CA and VA Greater Los Angeles Healthcare System, United States.
Ehab BillatosSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States; Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States.
Xiaohui XiaoSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Gang LiuSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Preeti AhujaDepartment of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, United States.
Ashley ProsperDepartment of Radiology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, United States.
Steven DubinettDepartment of Medicine, David Geffen School of Medicine, The University of California at Los Angeles, Los Angeles, CA and VA Greater Los Angeles Healthcare System, United States.
William HsuDepartment of Medicine, David Geffen School of Medicine, The University of California at Los Angeles, Los Angeles, CA and VA Greater Los Angeles Healthcare System, United States.
Jennifer BeaneSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States; Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States.
Denise AberleDepartment of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, United States.
Marc E LenburgSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States; Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States. Electronic address: mlenburg@bu.edu.

Funding

The Boston University - UCLA Lung Cancer Biomarker Characterization CenterU2CCA271898 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Steven M. Dubinett · 2022 to 2026
$5.5M
The Boston University-UCLA Lung Cancer Biomarker Development LabU01CA214182 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ABERLE, DENISE R., DUBINETT, STEVEN M. · 2016 to 2021
$3.1M
NCI NIH HHS U01 CA214182NCI NIH HHS U2C CA271898
6 · The paper itself

Abstract

Lung cancer in never-smokers represents a distinct and growing clinical challenge, yet early detection strategies largely target smokers. Here, we demonstrate that nasal epithelial gene expression alterations previously associated with lung cancer in current and former smokers are conserved in never-smokers. Notably, immune-related pathways, including interferon signaling, are similarly suppressed in malignant nodules in ever and never smokers. These findings suggest shared molecular mechanisms of lung carcinogenesis in ever and never smokers and should motivate validation of airway-based biomarkers in never-smoker populations.

Indexed as

Lung NeoplasmsNasal MucosaNon-SmokersFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedSmokersSmokingGene expression changesLung cancerTobacco smoke

Identifiers

PMID42349086
PMCPMC13355242

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.