Cancer Immunology and Pharmacology Lab.
Research Field
I am Chiao-Hsu (Josh) Ke, an assistant professor at the School of Veterinary Medicine at National Taiwan University. I am interested in the complex interplay between tumor cells and their microenvironment, particularly how these interactions drive malignancy and immune evasion in animals. Among the physiological barriers to treatment, the immunosuppressive tumor microenvironment (TME) is one of the most critical challenges in veterinary oncology, limiting the efficacy of conventional therapies. A better understanding of how the host immune system interacts with cancer cells is a critical step in developing precision medicine and is especially important in elucidating why certain aggressive cancers, such as melanoma and osteosarcoma, develop resistance to treatment.
My research investigates how tumor-intrinsic factors and the host immune landscape influence the outcomes of cancer progression and therapy. I use a combination of molecular immunology, pharmacology, bioinformatics, and clinical validation approaches to study factors that regulate tumor immunity. My research has led to the discovery that tumors can actively reprogram gene expression profiles to create a favorable microenvironment that facilitates malignancy. A fascinating finding is the ability of xenograft-derived vaccines to increase tumor antigen diversity, thereby enhancing the host's T-cell efficiency against cancers. These results suggest the general importance of antigen landscape diversity in the evolution of effective anti-tumor immune responses.
In addition to therapeutic mechanisms, our recent work reveals that systemic physiological changes are important drivers of cancer diagnosis and prognosis. We discovered that specific biomarkers in the blood are tightly connected to tumor burden and stage. The association that elevated levels of these markers correlate with poor prognosis provides a new avenue for liquid biopsy in veterinary medicine. This line of inquiry supports the hypothesis that systemic inflammation and coagulation abnormalities are not just side effects but integral components of cancer pathology. We believe these novel biomarkers will serve as important tools that explain the clinical heterogeneity of canine cancer patients and as the foundation for future studies investigating early detection strategies.
This is the Cancer Immunology and Pharmacology Laboratory at the School of Veterinary Medicine of National Taiwan University. We are interested in understanding how cancer cells and the host immune system interact with each other and how these interactions influence the efficacy of drugs and immunotherapies. In addition to biological mechanisms, it is increasingly recognized that computational approaches are important drivers of modern drug discovery. We, therefore, aim to understand how artificial intelligence can influence veterinary oncology. More specifically, how AI-driven predictions and immune modulation—two of the most promising frontiers in medicine—affect the future of cancer treatment in animals.
Spontaneous tumors in companion animals and human cancers share many biological similarities and have intrigued comparative oncologists for a long time. The study of canine cancer has played a fundamental role in advancing our knowledge in many biomedical disciplines, including immunology, pharmacology, and translational medicine. Due to the roles that companion animals play in our families and their value as spontaneous disease models, the study of veterinary oncology has great scientific and applied values for the One Health initiative. Additionally, the rising incidence of cancer in aging companion animals has significantly influenced veterinary care requirements and owner expectations. Therefore, it has become increasingly important for us to understand how these advanced immuno-pharmacological interactions can be harnessed to improve survival and quality of life.
Integrated Transcriptomic and Bioinformatic Discovery of Driver Genes in Canine Cancers
This research focuses on the systematic identification of oncogenic drivers in canine oral malignant melanoma (OMM) through large-scale data integration. By developing custom computational pipelines and leveraging high-performance computing (HPC) resources, we perform a comprehensive meta-analysis of existing canine tumor RNA-sequencing datasets. Our approach goes beyond standard analysis to execute a holistic transcriptomic integration, allowing us to pinpoint robust differentially expressed genes (DEGs) specifically associated with the aggressive phenotype of OMM. From these candidates, we prioritize potential oncogenes that govern melanoma progression. This project aims to establish a high-resolution molecular landscape of OMM, providing essential genetic targets for the development of next-generation diagnostic markers and precision therapies.
AI-Driven Drug Repurposing for Canine Cancers via Non-Homologous Gene Mapping
This study addresses the critical blind spots in comparative oncology by exploring the non-homologous genomic regions of Canine Osteosarcoma (OSA). While OSA holds immense translational value, species-specific genes lacking functional annotation often lead to cross-species discrepancies in drug response. To overcome the limitations of traditional statistics in high-dimensional data, we propose an innovative strategy combining graph neural networks (GNN) with computational drug repurposing. By utilizing the knowledge-transfer capabilities of GNNs, we predict functional gene modules unique to canine OSA, even in the absence of dense annotation. These modules are then integrated into a repurposing platform to identify drug candidates capable of reversing OSA-specific signatures. Through a closed-loop validation of dry computational predictions and wet laboratory experiments, we evaluate anti-tumor activity and verify whether genomic alterations align with predicted pathways. This shift from homology-based to species-specific analysis establishes an AI-driven platform for precision veterinary medicine.
2025 Eminence Scholar Fellowship
National Taiwan University
2025 CMC Magnetics Distinguished Young Scholar Lectureship
College of Bioresource and Agriculture, National Taiwan University
2025 Incentives for Newly Hired Exceptional Talent
National Taiwan University
2019 - 2023 Ph.D., National Taiwan University
Job Description
We are seeking highly motivated interns to join our laboratory at National Taiwan University. Our team operates at the intersection of computational biology and molecular validation, aiming to address critical bottlenecks in canine oncology. The intern will work closely with the PI and the research team to bridge the gap between genomic data and clinical applications. Key responsibilities include:
1. Transcriptomic analysis & driver gene discovery: assist in processing and integrating large-scale RNA-sequencing data to characterize gene signatures in canine oral malignant melanoma.
2. Experimental validation: validate computational predictions using in vitro models (e.g., canine cancer cell lines) and perform essential molecular biology techniques (e.g., cell viability assays, qPCR, Western Blot) to assess drug efficacy and mechanism of action.
3. Scientific communication: participate in regular lab meetings, conduct literature reviews, and present research progress.
Preferred Intern Educational Level
Graduated students in veterinary medicine, life sciences, computer science, biotechnology, or a related field are encouraged to apply.
Skill sets or Qualities
We value candidates who demonstrate a high level of accountability, meticulous attention to detail, and a collaborative spirit.