Clinical Pharmacology Adaptive Therapy Group

Professor Banerji's group aims to study re-wiring of signal transduction to understand and overcome mechanisms of drug resistance and, in addition, to understand exploit cancer evolution using pharmacological tools.

We are focused on the re-wiring of signal transduction using established cell lines to control mechanisms of drug resistance and comprehend the evolution of cancer.  

Rewiring of signal transduction

This group is working on the set-up and validation of a highly sensitive antibody-based assay on the Nanostring platform which will allow quantification of 50 - 100 phosphoproteins/proteins. It plans to digest tumour tissue obtained during surgery or from biopsies and expose them to a matrix of 20 - 30 anticancer drugs before obtaining phosphoproteomic data.

It also aims to use organoids and patient-derived xenografts to take this forward. The proteomic data will be modelled with the Computational Biology and Chemogenomics Team led by Professor Bissan Al-Lazikani. The group also supports PhD students studying the re-wiring of signal transduction in colon cancer and the role of stroma in influencing signal transduction.

The group also currently works with Professor Andrea Sottoriva at the Centre for Evolution and Cancer at the ICR to look at barcoding of cancer cells and the study of evolutionary trajectories of clones under experimental conditions. It is also studying mechanisms of resistance, collateral drug sensitivity and resistance of these emergent clones.


The primary area of this group is focused on the re-wiring of signal transduction using established cell lines as well as fresh cancer cells derived and isolated from patients and then exposing them to novel anticancer drugs. Pre- and post-proteomic profiling provides insights into mechanisms of drug resistance and how to overcome this with combination therapies. The initial work was carried out using cancer cells isolated from ascites and pleural effusions; the group in now developing expertise in organoid and patient-derived xenograft tissue.

The group develops its own antibody-based proteomic platforms and collaborates with teams involved in mass spectroscopic methods, led by Jyoti Choudhary. The group generates significant amounts of data and collaborates with the ICR's Computational Biology and Chemogenomics Team led by Professor Bissan Al-Lazikani to develop and decipher the data.

The secondary focus of this lab is the study of the pharmacological effects on cancer evolution in experimental models and methods to quantify this and herd cancer cells to a vulnerable state.

Professor Banerji works with Professor Andrea Sottoriva in the Centre for Evolution and Cancer at the ICR and plans to translate these concepts in to the clinic.

Vacancies at the ICR

Working at the ICR

Postdoctoral Training Fellow

  • Chelsea
  • Structural Biology
  • Salary Range: £45,600 - £55,000 per annum
  • Fixed term

Under the leadership of Claudio Alfieri, we are seeking to appoint a Postdoctoral Training Fellow to join the Molecular Mechanisms of Cell Cycle Regulation Group at the Chester Beatty Laboratories, Fulham Road in London. This project aims to investigate the molecular mechanisms of cell cycle regulation by macromolecular complexes involved in cell proliferation decisions, by combining genome engineering, proteomics and in situ structural biology. For general information on Post Doc's at The ICR can be found here. Key Requirements The successful candidate must have a PhD in cellular biochemistry and experience in Cryo-EM and CLEM is desirable. The ICR has a workforce agreement stating that Postdoctoral Training Fellows can only be employed for up to 7 years as PDTF at the ICR, providing total postdoctoral experience (including previous employment at this level elsewhere) does not exceed 7 years Department/Directorate Information: The candidate will work in the Molecular Mechanisms of Cell Cycle Regulation Group within the ICR Division of Structural Biology headed by Prof. Laurence Pearl and Prof. Sebastian Guettler. The division has state-of-the-art facilities for protein expression and biophysics/x-ray crystallography, in particular the Electron Microscopy Facility is equipped with a Glacios 200kV with Falcon 4i detector with Selectris energy filter and the ICR has access to Krios microscopes via eBIC and the LonCEM consortium. We encourage all applicants to access the job pack attached for more detailed information regarding this role. For an informal discussion regarding the role, please contact Claudio Alfieri via Email on [email protected]

Data Scientist

  • Sutton
  • Cell and Molecular Biology
  • Salary Range: £39,805 to £49,023 per annum
  • Fixed term

Under the guidance of Professor Trevor Graham, we are seeking to recruit a Data Scientist to support Data Science research across the ICR. The successful candidate will particularly work on the analysis of spatial data including multiplex immunohistochemistry, H&Es and spatial transcriptomics. About you The successful candidate must have: A PhD in quantitative subject, or likely to be awarded PhD in the near future. Research experience equivalent to PhD level will be considered. Undergraduate degree, or Masters or equivalent in a quantitative subject. Skills in bioinformatics computing coding, in languages including R, Python and other scripting languages as is appropriate. Experience of using high performance computing (HPC) systems for scientific computing. Experience of computational biology research methodologies pertinent to the role. Department/Directorate Information The Data Science Committee is chaired by Professor Trevor Graham, providing academic leadership of data science at the ICR to maximise the impact of our cancer research, by applying innovative data science and computation tools (in addition to our traditional areas of strength) to tackle the important cancer questions and ensuring infrastructure is considered to enable this. What we offer A dynamic and supportive research environment Access to state-of-the-art facilities and professional development opportunities Collaboration with leading researchers in the field Competitive salary and pension We encourage all applicants to access the job pack attached for more detailed information regarding this role. For an informal discussion regarding the role, please contact Prof Trevor Graham [email protected].

Industrial partnership opportunities with this group

Opportunity: A potent, orally bioavailable clinical-stage inhibitor of MPS1 with potential as a treatment for a range of cancer types including triple negative breast cancer

Commissioner: Swen Hoelder

Recent discoveries from this group