Joan Kant

Joan Kant
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Joan verified their affiliation via an institutional email.
Verified
Joan verified their affiliation via an institutional email.
  • Master of Science
  • Bioinformatics Analyst at University Health Network

About

9
Publications
420
Reads
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13
Citations
Introduction
Current institution
University Health Network
Current position
  • Bioinformatics Analyst
Additional affiliations
July 2023 - present
Princess Margaret Cancer Research Centre
Position
  • Bioinformatics Analyst
Education
September 2020 - August 2023
Eindhoven University of Technology
Field of study
  • Biomedical Engineering
September 2017 - August 2020
Eindhoven University of Technology
Field of study
  • Biomedical Engineering

Publications

Publications (9)
Article
Glioblastoma (GBM) is the most common malignancy of the central nervous system, characterized by a dismal prognosis and inevitable recurrence despite aggressive standard-of-care therapy. Extensive colonization of the surrounding brain parenchyma precludes complete surgical resection, posing a significant therapeutic challenge. While well-studied in...
Article
The cellular and molecular heterogeneity of tumors is a major obstacle to cancer immunotherapy. Here, we use a systems biology approach to derive a signature of the main sources of heterogeneity in the tumor microenvironment (TME) from lung cancer transcriptomics. We demonstrate that this signature, which we called iHet, is conserved in different c...
Article
Glioblastoma (GBM) is a highly lethal brain cancer, comprising about half of all central nervous system malignancies. Its recurrence and resistance to aggressive treatments, such as surgery, radiation, and chemotherapy, underscore its biological complexity. A key feature of GBM is intra-tumoral heterogeneity (ITH), stemming from a diversity of tran...
Preprint
Full-text available
The cellular and molecular heterogeneity of tumors is a major obstacle to cancer immunotherapy. Here, we use a systems biology approach to derive a signature of the main sources of heterogeneity in the tumor microenvironment (TME) from lung cancer transcriptomic data. We demonstrate that this signature, which we called iHet, is conserved in differe...
Article
Full-text available
Simple Summary Prostate cancer is a global health burden. Multi-parametric magnetic resonance imaging is the recommended imaging modality for diagnosis. The recommended treatment differs based on tumor aggressiveness, typically assessed with the use of invasive techniques such as tumor biopsies. By studying the relationship between imaging characte...

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