Background: Galectins are a family of carbohydrate binding proteins that regulate several cellular functions such as growth, migration, adhesion and apoptosis.

Methods: We investigated the expression of galectin (gal)-1 and galectin (gal)-3 in patients with oral squamous cell carcinoma (OSCC) and observed their effects on growth and survival of OSCC cell lines.

Results: OSCC patients expressed significantly higher levels of gal-1 and gal-3 in circulation (p<0.0001) and at the tumour sites (p<0.01) as compared to controls. Patients with higher tumour load showed significantly higher expression of both galectins than those with lower tumour load. In ROC analysis, serum levels of gal-1 and gal-3 at cut-off values of 4.875 and 0.871ng/ml respectively, discriminated between healthy subjects and patients with more than 80% sensitivity and specificity. Similarly, logistic regression analysis revealed about 3-times higher risk of OSCC in subjects over expressing these proteins. Further, exogenous gal-1 and gal-3 significantly increased survival, proliferation and angiogenesis in OSCC cell lines.

Conclusions: Serum levels of gal-1 and gal-3 may serve as plausible markers for oral squamous cell carcinoma and may be useful in screening population at a higher risk.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.cca.2014.12.038DOI Listing

Publication Analysis

Top Keywords

oral squamous
8
squamous cell
8
cell carcinoma
8
galectin-1 galectin-3
4
galectin-3 plausible
4
plausible tumour
4
tumour markers
4
markers oral
4
carcinoma suitable
4
suitable targets
4

Similar Publications

Machine learning prediction model for oral mucositis risk in head and neck radiotherapy: a preliminary study.

Support Care Cancer

January 2025

Oral Diagnosis Department, Faculdade de Odontolodia de Piracicaba, Universidade de Campinas (UNICAMP), Piracicaba, São Paulo, Brazil.

Purpose: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM risk in patients undergoing head and neck radiotherapy.

View Article and Find Full Text PDF

Background/purpose: Oral squamous cell carcinoma (OSCC) is notorious for its low survival rates, due to the advanced stage at which it is commonly diagnosed. To enhance early detection and improve prognostic assessments, our study harnesses the power of machine learning (ML) to dissect and interpret complex patterns within mRNA-sequencing (RNA-seq) data and clinical-histopathological features.

Materials And Methods: 206 retrospective Vietnamese OSCC formalin-fixed paraffin-embedded (FFPE) tumor samples, of which 101 were subjected to RNA-seq for classification based on gene expression.

View Article and Find Full Text PDF

Molecular analysis of HPV16 and HPV18 oncogenes in oral squamous cell carcinoma: Structural, transcriptomic and insights.

Oncol Lett

March 2025

Department of Conservative Dentistry and Endodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu 600077, India.

The present study investigated the involvement of human papillomavirus (HPV)16 and HPV18 in oropharyngeal malignancies in order to understand the oncogenic mechanisms, and to identify biomarkers for early detection and treatment targets. Given the rising incidence of HPV-associated cancer, particularly in India, this holds significance in elucidating the molecular basis of these diseases. Structural validation of HPV16 and 18 oncoproteins E6 and E7 was conducted using computational tools, while gene expression profiles related to oral squamous cell carcinoma (OSCC) were analyzed to assess differential expression.

View Article and Find Full Text PDF

The effect of mandibular advancement on pharyngeal airway space in patients with oral squamous cell carcinoma: A monocentric prospective study with computed tomography.

Clin Oral Investig

January 2025

Department of Oral and Maxillofacial Surgery, Klinikum Rechts Der Isar, School of Medicine and Health, Technische Universität München, Ismaninger Str. 22, Munich, D-81679, Germany.

Objectives: The presented study aimed to evaluate the effect of mandibular protrusion with a temporarily applied mandibular advancement device (MAD) on the posterior airway space and to determine a reliable metric constant based on a three-dimensional computed tomography (CT) evaluation.

Materials And Methods: The study population consisted of patients with oral squamous cell carcinoma who were treated at least six months prior to the follow-up CT in supine position. Each patient received an individually adjusted MAD that was temporarily applied with three different protrusion distances (P = 0 mm, P = 4 mm, and P = 8 mm) during follow-up CT.

View Article and Find Full Text PDF

Three-dimensional (3D) modeling is often used to provide better visual understanding. This has become an everyday tool especially in medical imaging. However, modeling soft tissue histopathology in 3D is in its early stages, thus making 3D comparison between radiology and histopathology difficult.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!