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
Principal Statistician
Job Details The Cancer Research UK funded Clinical Trials and Statistics Unit at The Institute of Cancer Research (ICR-CTSU) seek an experienced and highly motivated Principal Statistician to join their team of over 20 statisticians. We want to hear from you if you: Enjoy the challenge of researching, developing and implementing efficient trial methodology, and designing efficient clinical trials that will make a difference in patients’ lives Seek variety in your work and opportunities to apply your statistical knowledge across multiple therapeutic areas in oncology. Thrive on being part of a multi-disciplinary research team with like-minded statisticians. Are looking to develop your career within a dynamic and supportive academic environment at a leading cancer clinical trials unit. Key Requirements The successful applicant will be an experienced and highly motivated medical statistician interested in researching new statistical methods and applying their statistical knowledge to the design and analysis of patient-centred clinical trials. They will have a post-graduate qualification in statistics. They should demonstrate a solid understanding of clinical trials and experience in applying statistical methods to real-world data. Familiarity with Bayesian statistics and early phase adaptive trials are highly desirable. Effective oral and written communication skills, as well as enthusiasm for collaborating with others from diverse disciplines, are essential. Department/Directorate Information ICR-CTSU manages an exciting portfolio of national and international phase II and III cancer clinical trials and an expanding number of phase I trials. You will contribute in shaping the development of methodological innovations and implementing efficient methods in new and ongoing trials, with a specific focus in early phase and adaptive trials. You will work as part of a multi-disciplinary team on trials methodology research and on the statistical development, oversight and analysis of a number of clinical trials within the ICR-CTSU’s Early Phase and Adaptive Trials portfolio in collaboration with external organisations and the ICR/Royal Marsden Drug Development Unit. In your supporting statement please summarise how your research/managerial experience fits with the role. We encourage all applicants to access the job pack attached for more detailed information regarding this role. This is an office-based role. Requests for hybrid working (splitting time between our Sutton site and home) may be considered following successful completion of key training and only if the role allows. Flexible working options may be considered. For informal discussion about the role, please contact Professor Christina Yap, email: [email protected] For general queries about the recruitment process, please contact ICR-CTSU, email: [email protected].
Statistical Assistant – Industry Placement
Summary of Role ICR’s Cancer Research UK Clinical Trials & Statistics Unit (ICR-CTSU) is offering a placement year training opportunity at its Sutton site in Surrey for an enthusiastic, adaptable, and quick learning individual, currently undertaking an undergraduate degree in mathematics, statistics or a related field with a strong statistical component. This an exciting opportunity for students interested in a career within clinical trials to receive training within a clinical research setting. The successful applicant will work directly with the ICR-CTSU Statisticians, Trial & Data managers and Trial administrators to support the delivery of a diverse portfolio of phase II/III clinical trials, with a special emphasis in breast, urological and head and neck cancer treatments. You will receive full training in Good Clinical Practice and experience of working in accordance with UK clinical trials legislation. This will put you ahead of the competition when you graduate if you apply for a role in clinical trials either in academic research or in industry. You should be an undergraduate student (in mathematics, statistics or a related field with a strong statistical component) in your second year of study seeking a placement year opportunity in clinical trials. This post will be office based. When applying please provide a supporting statement; together with your CV and the names and addresses of two referees. Key Requirements The successful candidate must be studying for an undergraduate degree in mathematics, statistics or a related field with a strong statistical component. You should have a high level of computer literacy, a proven ability to use MS office packages and work accurately with attention to detail as well as good written and oral communication skills. You should have the ability to adhere to written procedures, work to agreed deadlines and work as part of a team. An interest in cancer research and medical statistics, and the ability to work with confidential information is also essential. Previous experience of the use of statistical programming languages would be an advantage but is not essential. For full details of the requirements see the job description. Department/Directorate Information For information regarding the ICR-CTSU Team go to: https://www.icr.ac.uk/our-research/centres-and-collaborations/centres-at-the-icr/clinical-trials-and-statistics-unit 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 us via email at: [email protected]
Employee Story
Dr Fatemeh Ahmadi Moughari is a bioinformatician working in the Functional Genomics Team, led by Rachael Natrajan, and the Bioinformatics Team, led by Syed Haider. She joined the ICR from her home country of Iran where she completed her PhD in anti-cancer drug response at Shahid Beheshti University.
"I really enjoy the multidisciplinary atmosphere here and it’s the thing that stood out when I first joined the ICR."
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