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.
Integrative phosphoproteomics defines two biologically distinct groups of KMT2A rearranged acute myeloid leukaemia with different drug response phenotypes Casado P, Rio-Machin A, Miettinen JJ et al. Signal Transduction and Targeted Therapy (2023) 8(7)
Extracellular matrix educates an immunoregulatory tumor macrophage phenotype found in ovarian cancer metastasis Puttock EH, Tyler EJ, Manni M et al. Nature communications (2023) 14(7) 2514
HDAC Inhibition Restores Response to HER2-Targeted Therapy in Breast Cancer via PHLDA1 Induction Clayton NS, Carter EP, Fearon AE et al. International Journal of Molecular Sciences (2023) 24(7)
Proteomic Characterization of Acute Myeloid Leukemia for Precision Medicine. Casado P, Cutillas PR Mol Cell Proteomics (2023) 22(2) 100517
https://www.ncbi.nlm.nih.gov/pubmed/36805445
Microtubule-associated proteins MAP7 and MAP7D1 promote DNA double-strand break repair in the G1 cell cycle phase Dullovi A, Ozgencil M, Rajvee V et al. iScience (2023) 26(7)
Principles of phosphoproteomics and applications in cancer research Higgins L, Gerdes H, Cutillas PR Biochemical Journal (2023) 480(7) 403-420
Proximity proteomics identifies septins and PAK2 as decisive regulators of actomyosin-mediated expulsion of von Willebrand factor El-Mansi S, Robinson CL, Kostelnik KB et al. Blood (2023) 141(7) 930-944
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
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)
For additional publications, please click herePostdoctoral 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.