Evidence map›Paper›PMID 29502190›Full record

ArticleGlycoconjugate journal2018

Biomolecular analysis of matrix proteoglycans as biomarkers in non small cell lung cancer.

Maristela P Rangel, Vanessa K de Sá, Tabatha Prieto, João Roberto M Martins, Eloísa R Olivieri, Dirce Carraro, Teresa Takagaki, Vera Luiza Capelozzi

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Glycoconjugate journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Maristela P RangelDepartamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
Vanessa K de SáDepartamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
Tabatha PrietoDepartamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
João Roberto M MartinsDisciplina de Biologia Molecular, Departamento de Bioquímica, Faculdade de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Eloísa R OlivieriLaboratory of Genomics and Molecular Biology, Centro Internacional de Pesquisa/CIPE, AC Camargo Cancer Center, São Paulo, SP, Brazil.
Dirce CarraroLaboratory of Genomics and Molecular Biology, Centro Internacional de Pesquisa/CIPE, AC Camargo Cancer Center, São Paulo, SP, Brazil.
Teresa TakagakiDivisao de Pneumologia, Instituto do Coraçao (Incor), Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
Vera Luiza CapelozziDepartamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil. vera.capelozzi@fm.usp.br.
Universidade de São Paulo · BRAC Camargo Hospital · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Matrix proteoglycans (PGs) have shown promise as biomarker in malignancies. We employed agarose gel eletrophoresis, quantitative real- time reverse transcription-polymerase chain reaction and immunohistochemistry to evaluate the content of sulfated glicosaminoglycans (chondroitin sulfate and heparan sulfate) and expression of PG (biglycan, glypican, perlecan, syndecan e versican) in patient-matched normal and tumor tissues obtained from resected specimens of lung cancer. A significant increase of heparan sulfate (HS) and chondroitin sulfate (CS) concentrations was found in tumor tissue samples when compared to normal lung tissue samples. HS was also significantly increased in adenocarcinomas compared to squamous cell carcinomas. PG gene expression, with exception of syndecan, were significantly decreased in tumor tissue compared to normal lung, coinciding with significant decrease of PG protein levels in tumor cells and stroma compared to normal lung tissue (Kappa coefficient 0.41, 0.42 and 0,28, respectively). Women patients (p = 0.02), non smokers (p = 0.05), T stage (p = 0.009), N stage (p = 0.03) and adenocarcinoma (p = 0.05) were associated with improved overall survival (OS). Patients presenting tumors with low concentration of sulfated GAG and high PGs levels presented better OS compared to patients with high concentration of sulfated GAG and low expression of PGs. Cox regression model controlled by gender, tobacco history and histological type, showed that patients with high perlecan and versican expression in tumor presented respectively high probability of life (β risk 11.64; 1.27 to 15.90) and low risk of death (β risk 0.11; 0.02-0.51). The combined approach suggest matrix (PGs) as biomarkers in lung cancer.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Non-Small-Cell LungFemaleHumansLungLung NeoplasmsMaleMiddle AgedProteoglycansBiomarkers, TumorProteoglycansDiagnosisExtracellular matrixImmunohistochemistryLung cancerPrognosisProteoglycansSurvival

Identifiers

PMID29502190
OpenAlexW2794208597

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.