Evidence map›Paper›PMID 28331811›Full record

ArticleBBA clinical2017

Proteomic analysis of bronchoalveolar lavage fluid (BALF) from lung cancer patients using label-free mass spectrometry.

Abduladim Hmmier, Michael Emmet O'Brien, Vincent Lynch, Martin Clynes, Ross Morgan, Paul Dowling

Open access · hybridAbstract read
In one paragraph

Article in BBA clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 39 citations in OpenAlex.

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  11. [Advances in Exosomes in the Pathogenesis and Diagnosis of Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2020
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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

6 authors at 3 institutions in 1 country.

Abduladim HmmierDepartment of Biology, Maynooth University, Maynooth, Co. Kildare, Ireland; BioNano Integration Research Group, Biotechnology Research Centre, Tripoli, Libya.
Michael Emmet O'BrienDepartment of Respiratory Medicine, Beaumont Hospital, Dublin 9, Ireland.
Vincent LynchNational Institute for Cellular Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland.
Martin ClynesNational Institute for Cellular Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland.
Ross MorganDepartment of Respiratory Medicine, Beaumont Hospital, Dublin 9, Ireland.
Paul DowlingDepartment of Biology, Maynooth University, Maynooth, Co. Kildare, Ireland.
Beaumont Hospital · IEDublin City University · IENational University of Ireland, Maynooth · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer-related mortality in both men and women throughout the world. The need to detect lung cancer at an early, potentially curable stage, is essential and may reduce mortality by 20%. The aim of this study was to identify distinct proteomic profiles in bronchoalveolar fluid (BALF) and plasma that are able to discriminate individuals with benign disease from those with non-small cell lung cancer (NSCLC).

methodsUsing label-free mass spectrometry analysis of BALF during discovery-phase analysis, a significant number of proteins were found to have different abundance levels when comparing control to adenocarcinoma (AD) or squamous cell lung carcinoma (SqCC). Validation of candidate biomarkers identified in BALF was performed in a larger cohort of plasma samples by detection with enzyme-linked immunoassay.

resultsFour proteins (Cystatin-C, TIMP-1, Lipocalin-2 and HSP70/HSPA1A) were selected as a representative group from discovery phase mass spectrometry BALF analysis. Plasma levels of TIMP-1, Lipocalin-2 and Cystatin-C were found to be significantly elevated in AD and SqCC compared to control.

conclusionThe results presented in this study indicate that BALF is an important proximal biofluid for the discovery and identification of candidate lung cancer biomarkers. GENERAL SIGNIFICANCE: There is good correlation between the trend of protein abundance levels in BALF and that of plasma which validates this approach to develop a blood biomarker to aid lung cancer diagnosis, particularly in the era of lung cancer screening. The protein signatures identified also provide insight into the molecular mechanisms associated with lung malignancy.

Indexed as

BALFBiomarkersELISAMass spectrometryPlasmaProteomics

Identifiers

PMID28331811
PMCPMC5357681
OpenAlexW2593329171

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.