Evidence map›Paper›PMID 28169345›Full record

ArticleScientific reports2017

Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer.

Ana Sofia Carvalho, Célia Marina Cuco, Carla Lavareda, Francisco Miguel, Mafalda Ventura, Sónia Almeida, Paula Pinto, Tiago Tavares de Abreu, Luís Vaz Rodrigues, Susana Seixas and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 54 citations in OpenAlex.

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  13. Molecular Pathology of Lung Cancer.Cold Spring Harbor perspectives in medicine · 2022
    Review
  14. HBFP: a new repository for human body fluid proteome.Database : the journal of biological databases and curation · 2021
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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

17 authors at 10 institutions in 3 countries.

Ana Sofia CarvalhoComputational and Experimental Biology Group, Health Promotion and Chronic Diseases Department, National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal.
Célia Marina CucoUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.
Carla LavaredaUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.
Francisco MiguelUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.
Mafalda VenturaUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.
Sónia AlmeidaUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.
Paula PintoUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.
Tiago Tavares de AbreuUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.
Luís Vaz RodriguesDepartment of Pulmonology, Unidade Local de Saúde da Guarda, Faculty of Health Sciences, University of Beira Interior, Portugal.
Susana SeixasInstituto de Investigação e Inovação em Saúde, Universidade do Porto (I3S), Porto, Portugal.
Cristina BárbaraUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.
Mikel AzkargortaProteomics Platform, CIC bioGUNE, CIBERehd, ProteoRed-ISCIII, Bizkaia Science and Technology Park, Derio, Spain.
Felix ElortzaProteomics Platform, CIC bioGUNE, CIBERehd, ProteoRed-ISCIII, Bizkaia Science and Technology Park, Derio, Spain.
Júlio SemedoUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.
John K FieldRoy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, William Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
Leonor MotaUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.
Rune MatthiesenComputational and Experimental Biology Group, Health Promotion and Chronic Diseases Department, National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal.
Centro Hospitalar Lisboa Norte · PTHospital Pulido Valente · PTCentro de Investigación Biomédica en Red · ESEuskadiko Parke Teknologikoa · ESNational Institute of Health Dr. Ricardo Jorge · PTRoy Castle Lung Cancer Foundation · GBUniversidade do Porto · PTUniversidade Nova de Lisboa · PTUniversity of Beira Interior · PTUniversity of Lisbon · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer configures as one of the deadliest types of cancer. The future implementation of early screening methods such as exhaled breath condensate analysis and low dose computed tomography (CT) as an alternative to current chest imaging based screening will lead to an increased burden on bronchoscopy units. New approaches for improvement of diagnosis in bronchoscopy units, regarding patient management, are likely to have clinical impact in the future. Diagnostic approaches to address mortality of lung cancer include improved early detection and stratification of the cancers according to its prognosis and further response to drug treatment. In this study, we performed a detailed mass spectrometry based proteome analysis of acellular bronchoalveolar lavage (BAL) fluid samples on an observational prospective cohort consisting of 90 suspected lung cancer cases which were followed during two years. The thirteen new lung cancer cases diagnosed during the follow up time period clustered, based on liquid chromatography-mass spectrometry (LC-MS) data, with lung cancer cases at the time of BAL collection. Hundred and thirty-tree potential biomarkers were identified showing significantly differential expression when comparing lung cancer versus non-lung cancer. The regulated biomarkers showed a large overlap with biomarkers detected in tissue samples.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAgedAged, 80 and overBiomarkers, TumorBronchoalveolar LavageBronchoalveolar Lavage FluidCarcinoma, Squamous CellChromatography, LiquidCluster AnalysisEarly DiagnosisFemaleHumansLung NeoplasmsMaleMass SpectrometryBiomarkers, TumorProteome

Identifiers

PMID28169345
PMCPMC5294405
OpenAlexW2587399783

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.