My research group uses unique proteomics and computational approaches to understand how cell signalling pathways driven by the activity of protein kinases contribute to the development of cancer. Increasing this knowledge will be invaluable in advancing personalised cancer therapies.
Computational Analysis of Cholangiocarcinoma Phosphoproteomes Identifies Patient-Specific Drug Targets. Cancer Res (2021) 81(22):5765-5776. PMID: 34551960
Drug ranking using machine learning systematically predicts the efficacy of anti-cancer drugs. Nat Commun (2021) 12(1):1850. PMID: 33767176
Reconstructing kinase network topologies from phosphoproteomics data reveals cancer-associated rewiring. Nat Biotechnol (2020) 38(4):493-502. PMID: 31959955
Proteomic and genomic integration identifies kinase and differentiation determinants of kinase inhibitor sensitivity in leukemia cells. Leukemia (2018) 32(8):1818-1822. PMID: 29626197
I am interested in understanding how cell signalling pathways driven by the activity of protein kinases contribute to the development of cancer. Signalling pathways do not work in isolation but form a complex network of biochemical reactions that integrate extracellular signals into a coordinated cell biological response.
Essentially all cancers deregulate one or several components of this biochemical network, but unfortunately, cancers are heterogeneous in the way signalling is perturbed. In practice, this means that novel targeted therapies against signalling nodes do not work equally well in all patients. Even those patients that initially respond eventually develop resistance.
To understand the mechanisms underlying this heterogeneity, I developed methodology based on a technique named mass spectrometry and on computational science. These techniques can be used to measure how the signalling network is wired in individual cancer populations in a comprehensive and unbiased manner.
My group is now using these unique resources to investigate the fundamental properties of signalling networks and to understand how signalling heterogeneity in cancer (with particular focus on haematological malignancies) contribute to intrinsic and acquired resistance to compounds that target signalling enzymes.
Proximity proteomics identifies septin and PAK2 as decisive regulators of actomyosin expulsion of von Willebrand factor. El-Mansi S, Robinson CL, Kostelnik KB et al. Blood (2022) (2)
https://www.ncbi.nlm.nih.gov/pubmed/36564030
Systematic identification of biochemical networks in cancer cells by Functional Pathway Inference Analysis. Badshah II, Cutillas PR Bioinformatics (2022) (1)
https://www.ncbi.nlm.nih.gov/pubmed/36448701
Low HER2 enables dedifferentiation and transformation of normal breast epithelial cells via chromatin opening Hayat A, Carter EP, King HW et al. (2022) (18)
Extracellular matrix educates a tumor macrophage phenotype found in ovarian cancer metastasis Puttock EH, Tyler EJ, Manni M et al. (2022) (18)
The cytotoxic action of BCI is not dependent on its stated DUSP1 or DUSP6 targets in neuroblastoma cells Thompson EM, Patel V, Rajeeve V et al. FEBS Open Bio (2022) 12(7) 1388-1405
CKS1 inhibition depletes leukemic stem cells and protects healthy hematopoietic stem cells in acute myeloid leukemia Grey W, Rio-Machin A, Casado P et al. Science Translational Medicine (2022) 14(7)
LGG-44. Multi-omic analysis reveals integrated signalling networks in paediatric low-grade glioma Woodward L, Jones TA, Patel A et al. Neuro-Oncology (2022) 24(10) i98-i98
MULTI-OMIC ANALYSIS REVEALS INTEGRATED SIGNALLING NETWORKS IN PAEDIATRIC LOW-GRADE GLIOMA Woodward L, Jones TA, Patel A et al. NEURO-ONCOLOGY (2022) 24(11) 98-98
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000840122400360&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a
P405: INHIBITION OF CKS1-DEPENDENT PROTEOSTASIS REVEALS VULNERABILITIES IN LEUKAEMIC STEM CELLS WITH CONCOMITANT PROTECTION OF HEALTHY HAEMATOPOIETIC STEM CELLS Grey W, Rio-Machin A, Casado-Izquierdo P et al. HemaSphere (2022) 6(10) 305-306
eEF2K Activity Determines Synergy to Cotreatment of Cancer Cells With PI3K and MEK Inhibitors. Hijazi M, Casado P, Akhtar N et al. Mol Cell Proteomics (2022) 21(2) 100240
https://www.ncbi.nlm.nih.gov/pubmed/35513296
Postdoctoral Researchers
Dr Pedro Casado-Izquierdo , Dr Ana Levi
PhD Students
Mr Federico Pedicona, Mr Henry Gerdes
Mass Spectrometrist in this group
Dr Vinothini Rajeeve, Ruth Otunsola
I graduated with a PhD in 2004 from UCL. My studies (completed in the laboratories of Prof Mike Waterfield, Prof Rainer Cramer and Prof Al Burlingame) were on a project that investigated kidney physiology and were supervised by Prof Robert Unwin. I then completed postdoctoral training at the Ludwig Institute for Cancer Research (UCL branch).
In 2007, I became lecturer at the Centre for Cell Signalling and in 2010 I was promoted to Senior Lecturer. After a period in the MRC Clinical Sciences Centre (2012-2013), where I was Head of the Mass Spectrometry and Proteomics, I joined the Centre for Haemoto-Oncology in 2013 where I now lead the Integrative Cell Signalling and Proteomics Group.
I am part of the Programme Team for the Cancer Genomics & Data Sciences MSc Programme at BCI, Queen Mary University of London.