A5063156518- Head and Neck Cancer Studies
- Oral Health Pathology and Treatment
- Salivary Gland Tumors Diagnosis and Treatment
- Cancer Diagnosis and Treatment
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Oral and Maxillofacial Pathology
- Esophageal Cancer Research and Treatment
- GDF15 and Related Biomarkers
- Head and Neck Surgical Oncology
- Macrophage Migration Inhibitory Factor
- Cancer-related molecular mechanisms research
- Cleft Lip and Palate Research
- Nuclear Receptors and Signaling
- Cancer-related Molecular Pathways
- Circular RNAs in diseases
- Cervical Cancer and HPV Research
- Cancer Research and Treatments
- Immunodeficiency and Autoimmune Disorders
- MicroRNA in disease regulation
- Tumors and Oncological Cases
- Radiomics and Machine Learning in Medical Imaging
University of British Columbia
2016-2025
Occupational Cancer Research Centre
2018-2025
Aims This study investigated the utility of combined p16 and p53 immunohistochemistry (IHC) for diagnosing high‐risk human papillomavirus (HR HPV)‐associated oral epithelial dysplasia (OED) its associated clinical behaviour, including disease recurrence transformation to malignancy. Methods Results The expression was evaluated in 105 cases HR HPV‐positive cavity OED, which 104 were scored as positive p16. HPV status confirmed by reverse transcriptase quantitative polymerase chain reaction...
Diagnosis and classification of oral epithelial dysplasia (OED) is critical to identifying prognosticating patients at risk squamous cell carcinoma (SCC). However, conventional 3-tiered 2-tiered grading systems suffer from poor inter-pathologist agreement, SCC may arise all grades OED. This study evaluated pathologist agreement in OED as p53 wildtype, abnormal, HPV-associated based on recent evidence demonstrating the utility p53/p16 immunohistochemistry (IHC) this setting increased abnormal...
<h3>Importance</h3> Nodal disease has a significant effect on survival of patients with oral squamous cell carcinoma (OSCC). The decision for elective neck dissection clinically node-negative (cN0) remains elusive. <h3>Objectives</h3> To determine the efficacy prophylactic treatment and to assess value commonly used clinicopathologic factors associated nodal early-stage OSCC. <h3>Design, Setting, Participants</h3> This retrospective study from population-based cancer registry included...
Oral squamous cell carcinoma (OSCC) is a major concern with high morbidity and mortality worldwide, even the current knowledge advancement in treatment. OSCCs diagnosed at late-stage often require wide-excision or without neck dissection, radiotherapy, chemotherapy. When deemed successful, treatment results diminished quality of life, impaired function, disfigurement. Strategies for early detection are urgently needed patients afflicted this disease. Inflammatory protein plasma biomarkers...
// Kelly Yi Ping Liu 1 , 2 Sarah Yuqi Zhu Denise Brooks 3 Reanne Bowlby J. Scott Durham 4 Yussanne Ma Richard A. Moore 5 Andrew Mungall 6 Steven Jones and Catherine F. Poh Department of Oral Medical Biological Sciences, Faculty Dentistry, University British Columbia, Vancouver, Canada Integrative Oncology, BC Cancer, Bioinformatics, Canada's Michael Smith Genome Sciences Center, Surgery, Medicine, Health Simon Fraser University, Burnaby, Biospecimen & Library Core Group, Correspondence to:...
High-risk human papillomavirus (HR-HPV) can cause oropharyngeal squamous cell carcinoma (OpSCC). The revised 8th edition of the AJCC Staging Manual now stages OpSCC by incorporating p16 immunohistochemistry (IHC), surrogate marker for HPV status. This study assessed prognostic values and markers.We identified 244 patients diagnosed between 2000 2008 from British Columbia Cancer Registry with enough tissue to conduct experiments. Formalin-fixed, paraffin-embedded sections were stained IHC,...
Background Early-stage oral squamous cell carcinoma (OSCC) patients have a one-in-four risk of regional metastasis (LN+), which is also the most significant prognostic factor for survival. As there are no validated biomarkers predicting LN+ in early-stage OSCC, elective neck dissection often leads to over-treatment and under-treatment. We present machine-learning-based model using quantitative nuclear phenotype cancer cells from primary tumor predict nodal disease. Methods findings Tumor...
Objectives: 1) Categorize oral squamous cell carcinoma (OSCC) patients according to nodal status at and after surgery. 2) Determine demographics, clinicopathological histological factors contributing disease. 3) Investigate biomarkers predict status. Methods: Using the BC Cancer Registry Database, 303 primary OSCC who received curative surgical treatment from 2003 2007 with least 5 years of follow‐up were identified. Patients categorized based on Demographics, clinico‐pathological details,...