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  4. Integrated Glycomics for Cancer Precision Medicine (GlycoMap)

Integrated Glycomics for Cancer Precision Medicine (GlycoMap)

This project will investigate organoids and new glycomics methods for cancer precision medicine.

Period
01.09.2023 – 31.08.2025
Funding
EU Horisont Europa
Project owner
  • Faculty of Health Sciences (HV)
  • Department of Life Sciences and Health
Project leader
  • Marissa Maciej-Hulme
Project number
101107665

The project aims to purify and analyse different types of complex sugars (glycans) from a single biological sample (e.g. tissue biopsy, biofluids, organoids, etc.), preserving inherent sample heterogeneity that drives cancer resistance and metastasis.

The approach generates a glycosylation profile for each sample that informs about tumour characteristics.

The project aims to address the substantial knowledge gap in cancer tumour glycosylation data by developing an integrated glycomics workflow to produce patient-specific "GlycoMaps" to define important glycan markers of resistant and drug-sensitive patient-derived organoids (mini avatars of tumour tissue) for cancer precision medicine.

  • Project website (proteoglycan-lab.com)

Project participants

  • Marissa Maciej-Hulme

    Marissa Maciej-Hulme

    • Senior Researcher
    • +47 672 36 509

Associated participants

  • Niclas Karlsson

    Niclas Karlsson

    • Professor
    • +47 672 35 485
Publisert: 20.05.2025Sist oppdatert: 20.05.2025

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More about the project

Precision medicine uses data-driven insights to reflect the heterogeneity of patients and improve cancer care by offering actionable oncology treatment options. Tumour tissue heterogeneity is the leading cause for inter-patient variation in treatment response.

One of the largest sources of tissue heterogeneity arises from post-translational glycosylation of proteins and aberrant glycosylation is a hallmark of breast and other cancers. Yet, substantial gaps remain in our knowledge of cancer glycans.

Glycomics (the comprehensive study of the glycome) offers the potential to provide the global glycosylation status of a patient and shed new light on tumour heterogeneity to guide precision medicine.