Evidence map›Paper›PMID 28376173›Full record

ArticleJournal of the National Cancer Institute2017

Shared Gene Expression Alterations in Nasal and Bronchial Epithelium for Lung Cancer Detection.

AEGIS Study Team

Abstract readMulticenter Study
In one paragraph

Article in Journal of the National Cancer Institute, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

47 citing papers in PubMed, 65 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 3 institutions in 1 country.

AEGIS Study Team
Boston University · USVeracyte (United States) · USUniversity of California, Los Angeles · US

Funding

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 CA214182
6 · The paper itself

Abstract

Background: We previously derived and validated a bronchial epithelial gene expression biomarker to detect lung cancer in current and former smokers. Given that bronchial and nasal epithelial gene expression are similarly altered by cigarette smoke exposure, we sought to determine if cancer-associated gene expression might also be detectable in the more readily accessible nasal epithelium. Methods: Nasal epithelial brushings were prospectively collected from current and former smokers undergoing diagnostic evaluation for pulmonary lesions suspicious for lung cancer in the AEGIS-1 (n = 375) and AEGIS-2 (n = 130) clinical trials and gene expression profiled using microarrays. All statistical tests were two-sided. Results: We identified 535 genes that were differentially expressed in the nasal epithelium of AEGIS-1 patients diagnosed with lung cancer vs those with benign disease after one year of follow-up ( P  < .001). Using bronchial gene expression data from the AEGIS-1 patients, we found statistically significant concordant cancer-associated gene expression alterations between the two airway sites ( P  < .001). Differentially expressed genes in the nose were enriched for genes associated with the regulation of apoptosis and immune system signaling. A nasal lung cancer classifier derived in the AEGIS-1 cohort that combined clinical factors (age, smoking status, time since quit, mass size) and nasal gene expression (30 genes) had statistically significantly higher area under the curve (0.81; 95% confidence interval [CI] = 0.74 to 0.89, P  = .01) and sensitivity (0.91; 95% CI = 0.81 to 0.97, P  = .03) than a clinical-factor only model in independent samples from the AEGIS-2 cohort. Conclusions: These results support that the airway epithelial field of lung cancer-associated injury in ever smokers extends to the nose and demonstrates the potential of using nasal gene expression as a noninvasive biomarker for lung cancer detection.

Indexed as

AgedBiomarkers, TumorBronchiCluster AnalysisEpitheliumFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLungLung NeoplasmsMaleMiddle AgedNasal MucosaOligonucleotide Array Sequence AnalysisPrognosisBiomarkers, Tumor

Identifiers

PMID28376173
PMCPMC6059169
OpenAlexW2593485618

What OpenQuestion holds

Textmetadata
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.