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Dr Anita Grigoriadis

Reader

Research interests

  • Cancer

Biography

Anita Grigoriadis is a Reader in the School of Cancer and Pharmaceutical Sciences at King’s, the School Lead (International) and Training Lead for the CRUK KHP Centre, and holds a guest lecturership at Birkbeck College, University of London.

Anita started her scientific career at the Research Institute of Molecular Pathology (IMP), University of Vienna (Austria), pursuing a joint PhD between the Ludwig Institute for Cancer Research (LICR), London, and Faculty of Natural Sciences, Salzburg (Austria). Her postdoctoral training on breast cancer genomics started at the LICR, and continued with Professor Alan Ashworth at the Breakthrough Breast Cancer Centre (London), before joining Professor Andrew Tutt at the Breast Cancer NOW Unit at KCL. Since 2013 Anita leads the KCL Cancer Bioinformatics group, which implements analytical approaches to exploit large complex data sets derived from clinically annotated samples and model systems. Her work focuses on the identification of molecular patterns pathognomonic for DNA damage repair defects, plus their immune microenvironment correlates, mainly in triple negative breast cancers, but also pan-cancer. In parallel, Anita leads the newly formed initiative of “CAncer microBiome ImmuNology DAtascience” (CABINDA) at KCL, which investigates histomorphological features reflective of local and systemic immune responses, a patient’s resident microbial communities and how the sum of these individual components influence treatment response and disease progression.

http://cancerbioinformatics.co.uk/

    Research

    cancer bioinformatics
    Cancer Bioinformatics

    The Cancer Bioinformatics group is exploring molecular determinants at the primary tumour site and in the draining lymph nodes, mainly in triple negative breast cancers.

    breast cancer now thumbnail
    Breast Cancer Now Research Unit

    Breast Cancer Now Research Unit

    From Dev Biology to Regen Medicine-hero
    From Developmental Biology to Regenerative Medicine

    Understanding organ development and tissue regeneration provides a framework for elucidating disease mechanisms as well as for developing new therapeutics.

    Spatial Biology hero
    Spatial Biology Network

    The Spatial Biology Network is a cross-faculty research interest group that brings together researchers from various disciplines, ranging from technology development and molecular biology, to bioinformatics and clinical translational research, to explore the complexity of spatial biology.

    News

    AI model predicts if breast cancer will spread based on lymph node changes

    Artificial intelligence (AI) can predict if an aggressive type of breast cancer will spread based on changes in a patient’s lymph nodes.

    ai-lymph-nodes

    Researchers' new DCIS discovery could help avoid unnecessary breast cancer treatment

    A new study from a team of King’s researchers in the School of Cancer & Pharmaceutical Sciences, led by Professor Elinor Sawyer, has contradicted the view...

    DCIS discovery research 780x440

    AI technology investigated for breast cancer diagnosis

    A new study led by academics at King’s and Guy’s and St Thomas’ NHS Foundation Trust is using historical scans to evaluate how AI-driven diagnostic software...

    AI in healthcare

    Investigating how B cells and antibodies in the immune system respond to breast cancer

    New research aims to understand how B cells react to the presence of breast cancer.

    antibodies

      Research

      cancer bioinformatics
      Cancer Bioinformatics

      The Cancer Bioinformatics group is exploring molecular determinants at the primary tumour site and in the draining lymph nodes, mainly in triple negative breast cancers.

      breast cancer now thumbnail
      Breast Cancer Now Research Unit

      Breast Cancer Now Research Unit

      From Dev Biology to Regen Medicine-hero
      From Developmental Biology to Regenerative Medicine

      Understanding organ development and tissue regeneration provides a framework for elucidating disease mechanisms as well as for developing new therapeutics.

      Spatial Biology hero
      Spatial Biology Network

      The Spatial Biology Network is a cross-faculty research interest group that brings together researchers from various disciplines, ranging from technology development and molecular biology, to bioinformatics and clinical translational research, to explore the complexity of spatial biology.

      News

      AI model predicts if breast cancer will spread based on lymph node changes

      Artificial intelligence (AI) can predict if an aggressive type of breast cancer will spread based on changes in a patient’s lymph nodes.

      ai-lymph-nodes

      Researchers' new DCIS discovery could help avoid unnecessary breast cancer treatment

      A new study from a team of King’s researchers in the School of Cancer & Pharmaceutical Sciences, led by Professor Elinor Sawyer, has contradicted the view...

      DCIS discovery research 780x440

      AI technology investigated for breast cancer diagnosis

      A new study led by academics at King’s and Guy’s and St Thomas’ NHS Foundation Trust is using historical scans to evaluate how AI-driven diagnostic software...

      AI in healthcare

      Investigating how B cells and antibodies in the immune system respond to breast cancer

      New research aims to understand how B cells react to the presence of breast cancer.

      antibodies