
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.
Research

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 Research Unit
Breast Cancer Now Research Unit

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 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.

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...

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...

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.

Research

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 Research Unit
Breast Cancer Now Research Unit

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 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.

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...

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...

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.
