Aims: Despite the development of several therapeutic strategies in the past decades, clinicians have failed to improve the survival rate of oral squamous cell carcinoma patients due to the highly metastatic nature of the disease and its high recurrence rate. However, there is accumulating evidence that aberrant Notch4 expression has a critical role in tumorigenesis but its prognostic value and function in OSCC remains uncertain. This study therefore investigates (1) the expression of Notch4 and its downstream target, myelin associated glycoprotein (MAG) in tissue samples representative of different stages of OSCC with varied clinicopathological features and (2) the possible involvement of Notch4 in the proliferation and migration of OSCC cells.
Main Methods: Sixty patients reported positive for OSCC were obtained along with the clinicopathological parameters and we performed immunohistochemistry, western blotting and RT-PCR for Notch4 and MAG expression. Further, the metastatic role of Notch4 was analyzed in the HSC-3 cell line by cell proliferation and migration assays.
Key Findings: Our findings reveal that Notch4 and MAG expression are significantly upregulated in specifically late stages of OSCC tumor sections and perineural invasion (PNI) positive cases. In addition, depletion of Notch4 by siRNA inhibited the proliferative and migratory ability of the highly metastatic HSC-3 OSCC cells.
Significance: Our study indicates that the aberrant activation of Notch4 promotes OSCC metastasis through perineural spread and ascertains its value as a significant prognostic marker and potential therapeutic target to treat this highly aggressive malignancy.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.lfs.2016.05.019 | DOI Listing |
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 PDFJ Dent Sci
December 2024
Blood Transfusion Haematology Hospital No. 2, Ho Chi Minh City, Viet Nam.
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.
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 PDFClin 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.
Sci Rep
January 2025
Department of Otorhinolaryngology - Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, P.O. Box 263, 00029, Helsinki, Finland.
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 PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!