Anita Grigoriadis

Anita Grigoriadis


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Personal profile

Research interests

Research in the Cancer Bioinformatics group centers around the application of computational methods to two areas of triple-negative breast cancer (TNBC) biology: genomic instability, and the interplay between tumour cells and the immune system. By elucidating the biology of TNBCs, we aim to identify potential therapeutic targets and develop biomarkers for patient stratification.

Using data from high-throughput assays, we establish algorithms to measure different patterns of genomic instability, their transcriptional readouts, and their relationships to drug sensitivity in the neoadjuvant, adjuvant, and metastatic settings with the aim of understanding the changes that drive TNBCs.  By working closely with Professor Andrew Tutt, oncologist, and Director of Breast Cancer Now Unit, and associated with the Division of Cancer Studies, we are able to draw upon clinical trial data and tumour specimen data to establish and test our computational techniques.  

In parallel, we investigate histological and morphological features that are reflective of local and systemic immune responses, a patient’s resident microbial communities and how the sum of these individual components influences treatment response and disease progression. We were the first to demonstrate that capturing histological alterations in cancer-free lymph nodes (LN) of breast cancers can add to the risk prediction of developing distant metastasis for LN- positive breast cancer patients. This has led to a programme in which my team explores LNs in breast cancer patients through machine-learning approaches on digitised whole slide image analyses, integrated with transcriptomics (bulk and single cell), genomics and multiplexed immunofluorescence staining.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Master of Science, Bioinformatics with Systems Biology, UCL University College London

Award Date: 1 Jan 2008

Doctor of Philosophy, Transcriptional regulation of the cell cycle-dependent kinase inhibitor p21 during senescence, University of Salzburg

Award Date: 1 Jan 1997

Master of Natural Science, Isolation, structural and functional analysis of genes located in the neuroblastoma consensus deletion, University of Vienna

Award Date: 1 Jan 1993


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