This study addresses the hypothesis that IL-6/STAT3 signaling is of clinical relevance in oropharyngeal squamous cell carcinoma (OPSCC). We evaluated relationships between key components of this pathway in tumors from a unique cohort of n = 59 fully annotated, treatment-naïve patients with OPSCC. The multiplex Opal platform was utilized for immunofluorescence (IF) analysis of tissues to detect IL-6 and phosphorylated STAT3 (pSTAT3), taking into consideration its nuclear versus cytoplasmic localization. Abundant staining for both IL-6 and pSTAT3 was evident in tumor-rich regions of each specimen. IL-6 correlated with cytoplasmic pSTAT3 but not nuclear or total pSTAT3 in this cohort of OPSCC tumors, regardless of p16 status (r = 0.682, p < 0.0001). There was a significant association between increased total pSTAT3, nuclear pSTAT3, cytoplasmic pSTAT3 and IL-6 in p16 negative tumors. Our data indicate STAT3 phosphorylation was a key feature in p16-negative OPSCC tumors. When IL-6 data was stratified by median expression in tumors, there was no association with overall survival. In contrast, both total and nuclear pSTAT3 were significant predictors of poor overall and disease free survival. This strong inverse relationship with overall survival was present in p16 negative tumors for both total and nuclear pSTAT3, but not in p16 positive OPSCC tumors. Together these data indicate that activation of the STAT3 signaling pathway is a marker of p16 negative tumors and relevant to OPSCC prognosis and a potential target for treatment of this more aggressive OPSCC sub-population.
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http://dx.doi.org/10.1007/s12105-018-0962-y | DOI Listing |
Transl Oncol
January 2025
Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy; Division of Biostatistics & Epidemiology Research, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, United States.
Background: Liquid biopsy (LB) is a laboratory test performed on a fluid sample aiming at analyzing molecular data derived from circulating cells and related entities, or from nucleic acids. This umbrella review aims to map and evaluate the evidence supporting the use of LB in medicine across different medical specialities and conditions.
Methods: We searched three repositories from database inception up to October 1, 2023 and we included meta-analyses of observational studies reporting data on the use of LB, compared to gold standard, and its accuracy (area under the curve, AUC).
J Neurol
January 2025
Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Background: Neurologic symptoms seen in patients receiving immune checkpoint inhibitors (ICI) may not be entirely caused by immunotoxicity. We aim to highlight these confounding conditions through clinical cases to encourage early recognition and management.
Methods: We describe a series of seven cases from our institution that were treated with ICI and presented with Neurologic symptoms and were diagnosed with superimposed conditions beyond immunotoxicity.
Extracell Vesicles Circ Nucl Acids
December 2024
Department of Diagnostic and Biological Sciences, University of Minnesota, Minneapolis, MN 55455, USA.
The effective management of cancer pain continues to be a challenge because of our limited understanding of cancer pain mechanisms and, in particular, how cancer cells interact with neurons to produce pain. In a study published in , Inyang used a mouse model of human papillomavirus (HPV1)-induced oropharyngeal squamous cell carcinoma to show a role for cancer cell-derived extracellular vesicles (cancer sEVs) in cancer pain. They found that inhibiting the release of sEVs reduced spontaneous and evoked pain behaviors, and that pain produced by sEVs is due to activation of TRPV1 channels.
View Article and Find Full Text PDFSupport 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 PDFOncol 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.
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