Evidence map›Paper›PMID 37369027›Full record

ArticleJournal of the National Cancer Institute2023

Circulating proteome for pulmonary nodule malignancy.

Elham Khodayari Moez, Matthew T Warkentin, Yonathan Brhane, Stephen Lam, John K Field, Geoffrey Liu, Javier J Zulueta, Karmele Valencia, Miguel Mesa-Guzman, Andrea Pasquier Nialet and 9 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
7.0field-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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Advances in the Basic Sciences in Thoracic Oncology in the Last 20 Years and Their Translational Impact.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
    Review
  3. Article
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  7. Review
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  9. Preoperative computed tomography-guided localization for pulmonary nodules: comparison between hook-wire and anchored needle localization.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2024
    Article
  10. Article
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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

19 authors at 9 institutions in 5 countries.

Elham Khodayari MoezProsserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada.ORCID 0000-0002-9639-4205
Matthew T WarkentinProsserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada.ORCID 0000-0001-8730-3511
Yonathan BrhaneProsserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada.ORCID 0000-0002-6232-7506
Stephen LamIntegrative Oncology, British Columbia Cancer Agency, Vancouver, BC, Canada.
John K FieldMolecular & Clinical Cancer Medicine, University of Liverpool, Liverpool, UK.
Geoffrey LiuComputational Biology and Medicine Program, Princess Margaret Cancer Center, Toronto, ON, Canada.ORCID 0000-0002-2603-7296
Javier J ZuluetaDivision of Pulmonary, Critical Care and Sleep Medicine, Mount Sinai Morningside Hospital, Icahn School of Medicine, New York, NY, USA.ORCID 0000-0003-3182-3555
Karmele ValenciaCenter of Applied Medical Research (CIMA) and Schools of Sciences and Medicine, University of Navarra, Pamplona, Spain.ORCID 0000-0002-2882-7427
Miguel Mesa-GuzmanThoracic Surgery Department, Clínica Universidad de Navarra, Pamplona, Spain.
Andrea Pasquier NialetCenter of Applied Medical Research (CIMA) and Schools of Sciences and Medicine, University of Navarra, Pamplona, Spain.
Sukhinder Atkar-KhattraIntegrative Oncology, British Columbia Cancer Agency, Vancouver, BC, Canada.ORCID 0000-0001-6712-484X
Michael P A DaviesMolecular & Clinical Cancer Medicine, University of Liverpool, Liverpool, UK.
Benjamin GrantComputational Biology and Medicine Program, Princess Margaret Cancer Center, Toronto, ON, Canada.
Kiera MurisonProsserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada.
Luis M MontuengaCenter of Applied Medical Research (CIMA) and Schools of Sciences and Medicine, University of Navarra, Pamplona, Spain.
Christopher I AmosInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
Hilary A RobbinsGenomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France.ORCID 0000-0001-6041-6866
Mattias JohanssonGenomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France.ORCID 0000-0002-3116-5081
Rayjean J HungProsserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada.ORCID 0000-0002-4486-7496
Lunenfeld-Tanenbaum Research Institute · CANavarre Institute of Health Research · ESBC Cancer Agency · CACentre international de recherche sur le cancer · FRPrincess Margaret Cancer Centre · CAUniversity of Liverpool · GBUniversity of Toronto · CABaylor College of Medicine · USClinica Universidad de Navarra · ES

Funding

Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Christopher I. Amos, Rayjean J. Hung · 2017 to 2026
$23.7M
The Lung EArly Proteins project: A LEAP toward implementing biomarkers in lung cancer screeningR01CA262164 · NCI · INTERNATIONAL AGENCY FOR RES ON CANCER · PI ROBBINS, HILARY A. · 2022 to 2025
$2.0M
NCI NIH HHS R01 CA262164NCI NIH HHS U19 CA203654World Health Organization 001
6 · The paper itself

Abstract

backgroundAlthough lung cancer screening with low-dose computed tomography is rolling out in many areas of the world, differentiating indeterminate pulmonary nodules remains a major challenge. We conducted one of the first systematic investigations of circulating protein markers to differentiate malignant from benign screen-detected pulmonary nodules.

methodsBased on 4 international low-dose computed tomography screening studies, we assayed 1078 protein markers using prediagnostic blood samples from 1253 participants based on a nested case-control design. Protein markers were measured using proximity extension assays, and data were analyzed using multivariable logistic regression, random forest, and penalized regressions. Protein burden scores (PBSs) for overall nodule malignancy and imminent tumors were estimated.

resultsWe identified 36 potentially informative circulating protein markers differentiating malignant from benign nodules, representing a tightly connected biological network. Ten markers were found to be particularly relevant for imminent lung cancer diagnoses within 1 year. Increases in PBSs for overall nodule malignancy and imminent tumors by 1 standard deviation were associated with odds ratios of 2.29 (95% confidence interval: 1.95 to 2.72) and 2.81 (95% confidence interval: 2.27 to 3.54) for nodule malignancy overall and within 1 year of diagnosis, respectively. Both PBSs for overall nodule malignancy and for imminent tumors were substantially higher for those with malignant nodules than for those with benign nodules, even when limited to Lung Computed Tomography Screening Reporting and Data System (LungRADS) category 4 (P < .001).

conclusionsCirculating protein markers can help differentiate malignant from benign pulmonary nodules. Validation with an independent computed tomographic screening study will be required before clinical implementation.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesSolitary Pulmonary NoduleEarly Detection of CancerHumansLungProteomeProteome

Identifiers

PMID37369027
PMCPMC10483334
OpenAlexW4382199189

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.