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  (Clinical) Towards novel immune checkpoint inhibitor biomarkers in lung cancer: optimisation of existing preclinical models using applied human genomics


   Faculty of Biology, Medicine and Health

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  Prof David Wedge, Dr Colin Lindsay, Prof A Malliri  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Immunotherapy has transformed the treatment landscape of non-small cell lung cancer (NSCLC), offering life-changing survival benefits to a minority of patients with stage III/IV disease. Progress with immune checkpoint inhibitors (ICIs) is now being limited by the lack of a reliable predictive biomarker that can inform i) which patients are most likely to benefit from treatment, and ii) which patients should avoid treatment given a projected lack of efficacy and/or toxicity risk. A key bottleneck in identification of a novel predictive biomarker for ICIs is the deficit of reliable preclinical lung cancer models that can simulate immunotherapy response: cell culture is usually limited to cancer cells alone, xenografts are immune-deficient and, in contrast to the human disease, genetically-engineered mouse models (GEMMs) of lung cancer are characteristically immune ‘cold’.

 This project will focus on answering this important unmet need by exploiting the supervisors’ combined expertise in RAS mutations and signalling (Lindsay, Malliri), and using whole genome sequencing to detail aetiological variation and its impact on KRAS-mutant NSCLC (Wedge). It will follow the principle of reverse translation, using bioinformatic work from resected lung cancers (Genomics England 100,000 genome project) to inform generation of novel KRAS-mutant mouse models that more closely recapitulate the human cancer using advanced carcinogen exposure protocols and molecular biology techniques. Using existing KRAS-mutant lung cancer GEMMs available at the University of Manchester and CRUK Manchester Institute, the student will use data from whole genome sequencing to inform a more sophisticated approach to mouse modelling that will fulfil the combined aims of i) offering a new (and rare) preclinical model that is susceptible to immunotherapy and can leverage predictive biomarker identification, and ii) offering a more faithful recapitulation of KRAS-mutant lung cancer than existing lab-based models.

Entry Requirements

Candidates must be post-registration clinicians and ideally have a specialist post in a related subject. It is generally expected that CRTFs will return to a training programme in the UK upon completion of their research degree.

How to Apply

To be considered for this project you MUST submit a formal online application form. Details of how to apply are available here (https://www.bmh.manchester.ac.uk/study/research/funded-programmes/mcrc-training-scheme/apply/). For Visa requirements, international candidates must select the full-time study option.

General enquiries can be directed to [Email Address Removed].

Interviews: Week commencing 10 January 2022

Commencement: April 2022, October 2022 or January 2023

Equality, Diversity and Inclusion

Equality, diversity and inclusion is fundamental to the success of The University of Manchester and is at the heart of all of our activities. The full Equality, diversity and inclusion statement can be found on the website https://www.bmh.manchester.ac.uk/study/research/apply/equality-diversity-inclusion/

Medicine (26)

Funding Notes

The clinical fellowships are usually tenable for three years. We will provide an appropriate salary in line with the applicant’s current salary and grade, and UK PhD tuition fees. The University of Manchester aims to support the most outstanding applicants from outside the UK. Due to the competitive nature of this scheme, we are only able to offer a limited number of tuition fee scholarships to be awarded to international candidates of exceptional quality.
Funding is available for three years full-time, or pro rata for part-time study. Part-time awards cannot be less than 50% of full time.

References

1. Adderley H,…Lindsay CR, eBioMedicine 2019
2. de Carné S,…Downward J, BioRxiv 2020
3. Coelho MA,…Downward J. Immunity 2017
4. Canon J,…Lipford JR. Nature 2019
5. Alexandrov LB,…Stratton MR. Nature 2013
6. Alexandrov LB,…Stratton MR. Nature 2020
7. Poulin EJ,…Haigis KM. Cancer Discovery 2019
8. Cook JH,…Haigis KM. Nat Commun 2021
9. Dogan S,…Ladanyi M. Clin Cancer Res 2012
10. MacIntyre G,…Brenton JD. Nat Genet 2018
11. Li Y,…Campbell PJ. Nature 2020