A5001261720- CRISPR and Genetic Engineering
- Cancer Research and Treatments
- Virus-based gene therapy research
- Ovarian cancer diagnosis and treatment
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Cancer, Hypoxia, and Metabolism
- Amino Acid Enzymes and Metabolism
- Endometrial and Cervical Cancer Treatments
- Cancer Mechanisms and Therapy
- Utopian, Dystopian, and Speculative Fiction
- Microbial Inactivation Methods
- Cervical Cancer and HPV Research
- Viral Infectious Diseases and Gene Expression in Insects
- Plant Virus Research Studies
- Chromatin Remodeling and Cancer
- Neuroblastoma Research and Treatments
- Cancer Genomics and Diagnostics
- Colorectal Cancer Screening and Detection
- Gothic Literature and Media Analysis
- Cell Image Analysis Techniques
- Generative Adversarial Networks and Image Synthesis
- Pancreatic and Hepatic Oncology Research
- Polyomavirus and related diseases
- Cancer-related gene regulation
University of British Columbia
2019-2025
Vancouver General Hospital
2019-2025
Molecular Oncology (United States)
2021
Vancouver Coastal Health
2020
McMaster University
2015-2018
Hamilton Health Sciences
2018
Fukushima University
2017
Western University
2011
Oral contraceptives reduce ovarian cancer risk, but the mechanism of risk reduction is not understood. We examined whether oral contraceptive pill (OCP) use influences p53 signatures, which are putative early fallopian tube precursors for high-grade serous carcinomas. For this retrospective cohort (n = 250) subjects aged over 50 years who had tubes removed at time a benign gynecologic procedure, we used health records to identify 72 patients OCPs least 5 and 178 with no history OCP use....
Deep learning-based computer vision methods have recently made remarkable breakthroughs in the analysis and classification of cancer pathology images. However, there has been relatively little investigation utility deep neural networks to synthesize medical In this study, we evaluated efficacy generative adversarial high-resolution images 10 histological types cancer, including five from The Cancer Genome Atlas major subtypes ovarian carcinoma. quality these was assessed using a...
Abstract Endometrial cancer (EC) has four molecular subtypes with strong prognostic value and therapeutic implications. The most common subtype (NSMP; No Specific Molecular Profile) is assigned after exclusion of the defining features other three includes patients heterogeneous clinical outcomes. In this study, we employ artificial intelligence (AI)-powered histopathology image analysis to differentiate between p53abn NSMP EC consequently identify a sub-group that markedly inferior...
Abstract Endometrial carcinoma, the most common gynaecological cancer, develops from endometrial epithelium which is composed of secretory and ciliated cells. Pathologic classification unreliable there a need for prognostic tools. We used single cell sequencing to study organoid model systems derived normal endometrium discover novel markers specific or A marker cells (MPST) several (FAM92B, WDR16, DYDC2) were validated by immunohistochemistry on organoids tissue sections. performed ovarian...
Abstract Purpose: Endometrioid ovarian carcinoma (ENOC) is generally associated with a more favorable prognosis compared other carcinomas. Nonetheless, current patient treatment continues to follow “one-size-fits-all” approach. Even though tumor staging offers stratification, personalized treatments remain elusive. As ENOC shares many clinical and molecular features its endometrial counterpart, we sought investigate The Cancer Genome Atlas–inspired (EC) subtyping in cohort of ENOC....
Abstract The color variation of hematoxylin and eosin (H&E)‐stained tissues has presented a challenge for applications artificial intelligence (AI) in digital pathology. Many normalization algorithms have been developed recent years order to reduce the between H&E images. However, previous efforts benchmarking these produced conflicting results none sufficiently assessed efficacy various methods improving diagnostic performance AI systems. In this study, we systematically...
Abstract Investigation of histopathology slides by pathologists is an indispensable component the routine diagnosis cancer. Artificial intelligence (AI) has potential to enhance diagnostic accuracy, improve efficiency, and patient outcomes in clinical pathology. However, variations tissue preparation, staining protocols, slide digitization could result over-fitting deep learning models when trained on data from only one center, thereby underscoring necessity generalize networks for...
Olopatadine (AL-4943A; KW-4679) [(z)-11-[3-(dimethylamino)propylidene]-6,11-dihydrodibenz[b,e]oxepine-2 acetic acid hydrochloride] is an anti-allergic agent which inhibits mast cell mediator release and possesses histamine H1 receptor antagonist activity. Studies were conducted to characterize the in vitro vivo pharmacological profile of this drug relevant its topical ocular use. AL-4943A a concentration-dependent fashion (IC50 = 559 μM) from human conjunctival preparations vitro. Histamine...
Abstract Background Gastric cancer remains a significant global health concern. In Asia, the prevalence of H. Pylori (HP) infection has led to well described risk factors in more homogenous populace. contrast, British Columbia presents diverse population, yet there is limited data on specific characteristics gastric this region. Aims 1. Compare distribution and histological types using both Lauren Japanese classification. 2. early-stage cancers (T1) advanced stages, focusing effectiveness...
Bevacizumab is a widely studied targeted therapeutic drug used in conjunction with standard chemotherapy for the treatment of recurrent ovarian cancer. While its administration has been shown to increase progression-free survival (PFS) patients advanced-stage cancer, lack identifiable biomarkers predicting patient response major roadblock effective adoption towards personalized medicine. In this work, we leverage latest histopathology foundation models trained on large-scale whole slide...
Many rare ovarian cancer subtypes, such as small-cell carcinoma of the ovary, hypercalcemic type (SCCOHT), have poor prognosis due to their aggressive nature and resistance standard platinum- taxane-based chemotherapy. The development effective therapeutics has been hindered by rarity tumors. We sought identify targetable vulnerabilities in subtypes.We compared global proteomic landscape six cases each endometrioid (ENOC), clear cell (CCOC), SCCOHT most common subtype, high-grade serous...
Abstract Ovarian cancer is the most lethal gynecologic to date. High-grade serous ovarian carcinoma (HGSOC) accounts for cases, and it frequently diagnosed at advanced stages. Here, we developed a novel strategy generate somatic mouse models using combination of in vivo electroporation CRISPR-Cas9–mediated genome editing. Mutation tumor suppressor genes associated with HGSOC two different combinations (Brca1, Tp53, Pten without Lkb1) resulted successfully generation HGSOC, albeit latencies...
Clear cell ovarian carcinoma (CCOC) is the second most common subtype of epithelial carcinoma. Late-stage CCOC not responsive to gold-standard chemotherapy and results in suboptimal outcomes for patients. In-depth molecular insight urgently needed stratify disease drive therapeutic development. We conducted global proteomics 192 cases compared these with other subtypes. Our showed distinct proteomic differences cancer subtypes including alterations lipid purine metabolism pathways....
Summary Background Colitis is a significant complication of immune checkpoint inhibitors (ICI). Currently, clinical and endoscopic severity are used to guide therapy. Aims To investigate associations between clinical, endoscopic, histological features with outcomes Methods We identified 149 patients from seven institutions biopsy‐proven ICI colitis. Biopsies were evaluated for including the Geboes score, Robarts histopathological index (RHI) was calculated. Clinical, data tested biological...
Abstract Hereditary diffuse gastric cancer (HDGC) is a syndrome caused by germline variants in CDH1 , the gene encoding cell–cell adhesion molecule E‐cadherin. Loss of E‐cadherin associated with cellular dedifferentiation and poor prognosis, but mechanisms through which loss initiates HDGC are not known. Using single‐cell RNA sequencing, we explored transcriptional landscape murine organoid model to characterize impact early tumourigenesis. Progenitor populations stratified squamous simple...
Clear cell ovarian carcinoma (CCOC) is an aggressive malignancy affecting younger women. Despite cancer subtypes having diverse molecular and clinical characteristics, the mainstay of treatment for advanced stage disease remains cytotoxic chemotherapy. Late CCOC resistant to conventional chemotherapy, which means a suboptimal outcome patients affected. detailed genomic, epigenomic, transcriptomic, proteomic characterisation, subtype-specific has shown little progress. The unique glycogen...
Delayed diagnosis and treatment resistance result in high pancreatic ductal adenocarcinoma (PDAC) mortality rates. Identifying molecular subtypes can improve treatment, but current methods are costly time-consuming. In this study, deep learning models were used to identify histologic features that classify PDAC based on routine hematoxylin-eosin-stained histopathologic slides. A total of 97 histopathology slides associated with resectable from The Cancer Genome Atlas project train a model...
Objectives We evaluated a population-based cohort of metastatic well-differentiated grade 3 gastroenteropancreatic neuroendocrine tumors (G3 NETs) to describe their characteristics, prognosis, and treatment outcomes. Methods The British Columbia provincial database was queried for G3 NETs diagnosed 2004 2021, charts were reviewed clinical features Results Forty-one patients identified, most with pancreatic (58.5%) or midgut (26.8%) primary tumor Ki-67 less than 55% in 68.3%. resected 19...
Nucleotide excision repair (NER) is a vital DNA pathway which acts on wide range of helix-distorting lesions. The importance this highlighted by its functional conservation throughout evolution and several human diseases, such as xeroderma pigmentosum, are caused defective NER pathway. This review summarizes the mechanisms present in all three domains life: eukaryotes, bacteria, archaea.
ABSTRACT Deep learning-based computer vision methods have recently made remarkable breakthroughs in the analysis and classification of cancer pathology images. However, there has been relatively little investigation utility deep neural networks to synthesize medical In this study, we evaluated efficacy generative adversarial (GANs) high resolution images ten histological types cancer, including five from The Cancer Genome Atlas (TCGA) major subtypes ovarian carcinoma. quality these was...