Head and neck squamous cell carcinomas (HNSCC) represent the sixth largest group among all human malignancies. However, the exact molecular mechanisms inducing the genesis and the progression of metastasis in these tumors are poorly understood. The identification of molecular alterations involved in metastasis of HNSCC might influence the value of clinical diagnostics, impact therapy strategies and finally improve the prognosis of the patients. The purpose of this study was to identify clinically relevant alterations at the transcriptional and translational levels, when comparing metastatic (N+) and non-metastatic (N0) primary HNSCC. Three transcripts HERPUD1, SLPI and RAD51 were selected for further validation based on their association with carcinogenesis and metastasis. Quantitative real-time-PCR was performed to determine the mRNA expression levels. For subsequent confirmation of the results, immunohistochemistry was performed applying a monoclonal anti-SLPI antibody on 121 HNSCC tumor specimens (N0, n=40; N+, n=81). In metastatic primary cancer, SLPI mRNA showed 5.9-fold lower expression in comparison with non-metastatic primary cancer (p=0.0092). Immunohistochemical staining revealed a fold change of -1.79 between the N+ and the N0 group (p=0.0002). The results presented here clearly indicate the repression of SLPI, measurable on both, mRNA and protein levels in metastatic primary HNSCC as compared to non-metastatic HNSCC. Therefore, it can be assumed that SLPI might have a substantial protective effect on the metastasis process of HNSCC.
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http://dx.doi.org/10.3892/ijo.2011.1006 | DOI Listing |
J Periodontal Res
January 2025
Department of Surgery, Stanford University School of Medicine, Stanford, California, USA.
Aim: To investigate additional factors contributing to the pathophysiology of chemotherapy-induced oral mucositis and periodontitis beyond the systemic immune suppression caused by the chemotherapeutic agent 5-Fluorouracil (5-FU).
Methods: 5-Fluorouracil was topically delivered to the non-keratinized, rapidly proliferating junctional epithelium (JE) surrounding the dentition, and acts as an immunologic and functional barrier to bacterial ingression. Various techniques, including EdU incorporation, quantitative immunohistochemistry (qIHC), histology, enzymatic activity assays, and micro-computed tomographic (μCT) imaging, were employed to analyze the JE at multiple time points following topical 5-FU treatment.
J Cardiothorac Surg
January 2025
Section of Cardiothoracic Surgery, Department of Heart Disease, Haukeland University Hospital, Jonas Lies vei 65, 5021, Bergen, Norway.
Background: A broncho-esophageal fistula (BEF) is a medical and surgical disaster. Treatment of BEF is often limited to palliative stent treatment that may migrate or cause erosions and tissue necrosis. Surgical repair of BEF is the only established definite treatment.
View Article and Find Full Text PDFJ Craniomaxillofac Surg
January 2025
Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
The potential of large language models (LLMs) in medical applications is significant, and Retrieval-augmented generation (RAG) can address the weaknesses of these models in terms of data transparency and scientific accuracy by incorporating current scientific knowledge into responses. In this study, RAG and GPT-4 by OpenAI were applied to develop GuideGPT, a context aware chatbot integrated with a knowledge database from 449 scientific publications designed to provide answers on the prevention, diagnosis, and treatment of medication-related osteonecrosis of the jaw (MRONJ). A comparison was made with a generic LLM ("PureGPT") across 30 MRONJ-related questions.
View Article and Find Full Text PDFRadiother Oncol
January 2025
Department of Nursing, Shanghai Proton and Heavy Ion Center, Shanghai Engineering Research Center of Proton and Heavy Ion Radiation Therapy, Shanghai 201315 China. Electronic address:
Background And Purpose: Few studies have examined the factors associated with xerostomia during proton and carbon ion radiotherapy for head and neck cancer (HNC), which are reported to have fewer toxic effects compared to traditional photon-based radiotherapy. This study aims to evaluate the performance of machine learning approaches in predicting grade 2 + xerostomia in adults with HNC receiving proton and carbon ion radiotherapy.
Materials And Methods: A retrospective study involving 1,769 adults with HNC who completed proton or carbon ion radiotherapy was conducted.
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