Evidence map›Paper›PMID 28197929›Full record

ArticleMedical oncology (Northwood, London, England)2017

Epithelial mesenchymal transition (EMT) and non-small cell lung cancer (NSCLC): a mutual association with airway disease.

Malik Quasir Mahmood, Chris Ward, Hans Konrad Muller, Sukhwinder Singh Sohal, Eugene Haydn Walters

Abstract read
PubMed Publisher
In one paragraph

Article in Medical oncology (Northwood, London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% 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

84 citing papers in PubMed, 1 synthesis or guideline pooled it, 135 citations in OpenAlex.

  1. Biomarkers of tumor invasiveness in proteomics (Review).International journal of oncology · 2020
    Pooled it
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  9. ALDHCells · 2024
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24 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 2 countries.

Malik Quasir MahmoodNHMRC Centre for Research Excellence in Chronic Respiratory Disease and Lung Ageing, School of Medicine, University of Tasmania, MS1, 17 Liverpool Street, Private Bag 23, Hobart, TAS, 7000, Australia.
Chris WardInstitute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK.
Hans Konrad MullerNHMRC Centre for Research Excellence in Chronic Respiratory Disease and Lung Ageing, School of Medicine, University of Tasmania, MS1, 17 Liverpool Street, Private Bag 23, Hobart, TAS, 7000, Australia.
Sukhwinder Singh SohalNHMRC Centre for Research Excellence in Chronic Respiratory Disease and Lung Ageing, School of Medicine, University of Tasmania, MS1, 17 Liverpool Street, Private Bag 23, Hobart, TAS, 7000, Australia.
Eugene Haydn WaltersNHMRC Centre for Research Excellence in Chronic Respiratory Disease and Lung Ageing, School of Medicine, University of Tasmania, MS1, 17 Liverpool Street, Private Bag 23, Hobart, TAS, 7000, Australia. Haydn.Walters@utas.edu.au.
University of Tasmania · AUNewcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NSCLC is a leading cause of morbidity and mortality worldwide. It includes adeno- and squamous cell carcinoma. In the background, COPD and smoking play a vital role in development of NSCLC. Local progression and metastasis of NSCLC has been associated with various mechanisms, but in particular by a process called epithelial mesenchymal transition (EMT), which is implicated in COPD pathogenesis. In this study, we have investigated whether expression of EGFR (activation marker) and S100A4, vimentin and N-cadherin (as EMT) is different both in central and leading edge of NSCLC and to what extent related to EMT activity of both small and large airways, stage and differentiation of NSCLC. We have investigated EMT biomarkers (S100A4, vimentin, and N-cadherin), an epithelial activation marker (EGFR) and a vascularity marker (Type-IV collagen) in surgically resected tissue from patients with NSCLC (adeno- and squamous cell carcinoma), and compared them with expression in the corresponding non-tumorous airways. EGFR, S100A4, vimentin, N-cadherin expression was higher in tumor cells located at the peripheral leading edge of NSCLC when compared with centrally located tumor cells of same subjects (P < 0.01). Type-IV collagen-expressing blood vessels were also more at the leading edge in comparison with central parts of NSCLC. EGFR and S100A4 expression was related to differentiation status (P < 0.05) and TNM stage (P < 0.05) of NSCLC. Moreover, EMT markers in the leading edge were significantly related to airway EMT activity, while peripheral edge vascularity of squamous cell carcinoma only was significantly related to large airway Rbm vascularity (P < 0.05). EGFR- and EMT-related protein expression was markedly high in the peripheral leading edge of NSCLCs and related to tumor characteristics associated with poor prognosis. The relationships between EMT-related tumor biomarker expression and those in the airway epithelium and Rbm provide a background for utility of airway changes in clinical settings.

Indexed as

AgedAntigens, CDBiomarkers, TumorCadherinsCarcinoma, Non-Small-Cell LungEpithelial-Mesenchymal TransitionErbB ReceptorsFemaleGenetic HeterogeneityHumansLung Diseases, ObstructiveLung NeoplasmsMaleMiddle AgedS100 Calcium-Binding Protein A4VimentinAntigens, CDBiomarkers, TumorCadherinsCDH2 protein, humanEGFR protein, humanErbB ReceptorsS100A4 protein, humanS100 Calcium-Binding Protein A4VimentinAdenocarcinomaEMTN-cadherinS100A4Squamous cell carcinomaTNMVimentin

Identifiers

PMID28197929
OpenAlexW2588326997

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.