AIMC Topic: Squamous Cell Carcinoma of Head and Neck

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Development of a novel prognostic signature derived from super-enhancer-associated gene by machine learning in head and neck squamous cell carcinoma.

Oral oncology Sep 7, 2024
Dysregulated super-enhancer (SE) results in aberrant transcription that drives cancer initiation and progression. SEs have been demonstrated as novel promising diagnostic/prognostic biomarkers and therapeutic targets across multiple human cancers. He...
Machine Learning Prognosis Female Biomarkers, Tumor Humans Gene Expression Regulation, Neoplastic Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Enhancer Elements, Genetic Animals Male Cell Line, Tumor Mice
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Machine learning developed a macrophage signature for predicting prognosis, immune infiltration and immunotherapy features in head and neck squamous cell carcinoma.

Scientific reports Aug 22, 2024
Macrophages played an important role in the progression and treatment of head and neck squamous cell carcinoma (HNSCC). We employed weighted gene co-expression network analysis (WGCNA) to identify macrophage-related genes (MRGs) and classify patients...
Prognosis Tumor Microenvironment Biomarkers, Tumor Male Humans Machine Learning Macrophages Head and Neck Neoplasms Cell Line, Tumor Immunotherapy Gene Expression Regulation, Neoplastic Squamous Cell Carcinoma of Head and Neck
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Assessing the use of the novel tool Claude 3 in comparison to ChatGPT 4.0 as an artificial intelligence tool in the diagnosis and therapy of primary head and neck cancer cases.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Aug 7, 2024
Head and neck squamous cell carcinoma (HNSCC) is a complex malignancy that requires a multidisciplinary tumor board approach for individual treatment planning. In recent years, artificial intelligence tools have emerged to assist healthcare professio...
Humans Artificial Intelligence Female Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Aged Male Middle Aged
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MRI-based deep learning and radiomics for prediction of occult cervical lymph node metastasis and prognosis in early-stage oral and oropharyngeal squamous cell carcinoma: a diagnostic study.

International journal of surgery (London, England) Aug 1, 2024
INTRODUCTION: The incidence of occult cervical lymph node metastases (OCLNM) is reported to be 20-30% in early-stage oral cancer and oropharyngeal cancer. There is a lack of an accurate diagnostic method to predict occult lymph node metastasis and to...
Retrospective Studies Neoplasm Staging Humans Radiomics Mouth Neoplasms Prognosis Deep Learning Oropharyngeal Neoplasms Lymph Nodes Squamous Cell Carcinoma of Head and Neck Neck Lymphatic Metastasis Magnetic Resonance Imaging
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A novel CAF-cancer cell crosstalk-related gene prognostic index based on machine learning: prognostic significance and prediction of therapeutic response in head and neck squamous cell carcinoma.

Journal of translational medicine Jul 9, 2024
BACKGROUND: Cancer-associated fibroblast (CAF)-cancer cell crosstalk (CCCT) plays an important role in tumor microenvironment shaping and immunotherapy response. Current prognostic indexes are insufficient to accurately assess immunotherapy response ...
Cell Communication Male Cell Line, Tumor Immune Checkpoint Inhibitors Gene Expression Regulation, Neoplastic Treatment Outcome Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Cancer-Associated Fibroblasts Machine Learning Prognosis Female Tumor Microenvironment Humans
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Integrative machine learning and neural networks for identifying PANoptosis-related lncRNA molecular subtypes and constructing a predictive model for head and neck squamous cell carcinoma.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jun 24, 2024
PURPOSE: PANoptosis is considered a novel type of cell death that plays important roles in tumor progression. In this study, we applied machine learning algorithms to explore the relationships between PANoptosis-related lncRNAs (PRLs) and head and ne...
Kaplan-Meier Estimate Male Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms RNA, Long Noncoding Prognosis Female Biomarkers, Tumor Humans Neural Networks, Computer Machine Learning
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Multi omics analysis of mitophagy subtypes and integration of machine learning for predicting immunotherapy responses in head and neck squamous cell carcinoma.

Aging Jun 21, 2024
Mitophagy serves as a critical mechanism for tumor cell death, significantly impacting the progression of tumors and their treatment approaches. There are significant challenges in treating patients with head and neck squamous cell carcinoma, undersc...
Humans Machine Learning Prognosis Head and Neck Neoplasms Immunotherapy DNA Copy Number Variations Multiomics Mutation Gene Expression Regulation, Neoplastic Mitophagy Squamous Cell Carcinoma of Head and Neck
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Explainable prediction model for the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma using CNN on CT images.

Scientific reports Jun 20, 2024
Several studies have emphasised how positive and negative human papillomavirus (HPV+  and HPV-, respectively) oropharyngeal squamous cell carcinoma (OPSCC) has distinct molecular profiles, tumor characteristics, and disease outcomes. Different radiom...
Oropharyngeal Neoplasms Human Papillomavirus Viruses Carcinoma, Squamous Cell Papillomavirus Infections Humans Aged Squamous Cell Carcinoma of Head and Neck Neural Networks, Computer Male Tumor Burden Tomography, X-Ray Computed Middle Aged Papillomaviridae Female
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Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images.

Computer methods and programs in biomedicine May 11, 2024
BACKGROUND AND OBJECTIVE: Cell segmentation in bright-field histological slides is a crucial topic in medical image analysis. Having access to accurate segmentation allows researchers to examine the relationship between cellular morphology and clinic...
Neural Networks, Computer Algorithms Carcinoma, Squamous Cell Reproducibility of Results Humans Cytoplasm Image Processing, Computer-Assisted Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Cell Nucleus
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Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis.

Scientific reports Apr 23, 2024
Voice change is often the first sign of laryngeal cancer, leading to diagnosis through hospital laryngoscopy. Screening for laryngeal cancer solely based on voice could enhance early detection. However, identifying voice indicators specific to laryng...
Laryngeal Diseases Case-Control Studies Voice Quality Aged Squamous Cell Carcinoma of Head and Neck Stroboscopy Humans Vocal Cords Adult Support Vector Machine Neural Networks, Computer Male Voice Disorders Vocal Cord Paralysis Artificial Intelligence Middle Aged Health Laryngeal Neoplasms
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