ArticleGlycoconjugate journal2018
Biomolecular analysis of matrix proteoglycans as biomarkers in non small cell lung cancer.
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.
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Who cites it
17 citing papers in PubMed, 35 citations in OpenAlex.
- Blood-based extracellular matrix biomarkers as predictors of survival in patients with metastatic pancreatic ductal adenocarcinoma receiving pegvorhyaluronidase alfa.Journal of translational medicine · 2021Trial
- Extracellular matrix-driven patient stratification and network modeling reveal distinct molecular grades with potential clinical implications.NPJ systems biology and applications · 2026Article
- Identification and Functional Validation of PTH2R as a Therapeutic Target in Lung Adenocarcinoma.Biomedicines · 2026Article
- Systematic evaluation of a novel mesoporous silica nanoparticles (MSNs)-RSC advances · 2026Article
- Multi-context modeling of driver pathways reveals common and specific mechanisms across 23 cancer types.PLoS computational biology · 2025Article
- Comprehensive pan-cancer analysis of HSPG2 as a marker for prognosis.BMC medical genomics · 2025Article
- Cross-attention enables deep learning on limited omics-imaging-clinical data of 130 lung cancer patients.Cell reports methods · 2024Article
- Immunohistochemical Evaluation of Perlecan (Heparan Sulphate Proteoglycan 2) Expression in Invasive Female Breast Carcinoma.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Review
- Review
- Modeling extracellular matrix through histo-molecular gradient in NSCLC for clinical decisions.Frontiers in oncology · 2022Article
- Heparan sulfate targeting strategy for enhancing liposomal drug accumulation and facilitating deep distribution in tumors.Drug delivery · 2020Article
- Roles of Proteoglycans and Glycosaminoglycans in Cancer Development and Progression.International journal of molecular sciences · 2020Review
- Tumor Microenvironment: Extracellular Matrix Alterations Influence Tumor Progression.Frontiers in oncology · 2020Review
- The dual role of the glycosaminoglycan chondroitin-6-sulfate in the development, progression and metastasis of cancer.The FEBS journal · 2019Review
- Cancer Metastasis: The Role of the Extracellular Matrix and the Heparan Sulfate Proteoglycan Perlecan.Frontiers in oncology · 2019Review
- Downregulation of exosomal let-7a-5p in dust exposed- workers contributes to lung cancer development.Respiratory research · 2018Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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