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

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.

journal_name

Glycoconj J

journal_title

Glycoconjugate journal

authors

Rangel MP,de Sá VK,Prieto T,Martins JRM,Olivieri ER,Carraro D,Takagaki T,Capelozzi VL

doi

10.1007/s10719-018-9815-x

subject

Has Abstract

pub_date

2018-04-01 00:00:00

pages

233-242

issue

2

eissn

0282-0080

issn

1573-4986

pii

10.1007/s10719-018-9815-x

journal_volume

35

pub_type

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