King's College London – Confidence in Concept 2019

Lead Research Organisation: King's College London

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Technical Summary

The Confidence in Concept (CIC) scheme is a key part of MRC’s translational research strategy and provides annual awards to institutions to flexibly support a portfolio of early stage translational research projects. CIC is designed to accelerate the transition from discovery research to viable translational projects by supporting preliminary studies to establish proof-of-concept so that the approach will then become competitive for more substantial translational funding.

Publications

10 25 50
 
Description Engage pathologists in research
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description 5763189 - City of London CRUK Studentship Award
Amount £149,549 (GBP)
Funding ID WT- 5763189 
Organisation Cancer Research UK 
Sector Charity/Non Profit
Country United Kingdom
Start 09/2021 
End 09/2025
 
Description Engineering regulatory T cells (Tregs) to modulate kidney injury and prevent renal fibrosis
Amount £186,808 (GBP)
Organisation Kidney Research UK 
Sector Charity/Non Profit
Country United Kingdom
Start 04/2022 
End 05/2024
 
Description Infection and Immunity Board
Amount £792,755 (GBP)
Funding ID MR/W025221/1 
Organisation Medical Research Council (MRC) 
Sector Public
Country United Kingdom
Start 05/2022 
End 05/2025
 
Description Optimization of the potency, specificity and survival properties of engineered regulatory T cells to treat inflammatory liver diseases
Amount £198,505 (GBP)
Organisation Rosetrees Trust 
Sector Charity/Non Profit
Country United Kingdom
Start 03/2022 
End 11/2024
 
Title AI-based methodologies to capture immune responses in lymph nodes 
Description We have implemented a deep learning framework to capture and quantify immune responses in lymph nodes. Some of these immune responses in lymph nodes are informative of the risk of developing distant metastasis in triple negative breast cancers. 
Type Of Material Technology assay or reagent 
Year Produced 2021 
Provided To Others? No  
Impact If test in larger cohort, the deep learning methods can be included in a digital pathology approach in our clinics. 
 
Title Lymph node immune response detection 
Description We have collected a large cohort of lymph nodes from breast cancer patients across different hospitals. In addition, we have implemented a deep learning framework to capture diverse immune responses in lymph nodes. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? No  
Impact We are currently submitting our research for publication and will then make our dataset publicly available. 
 
Description Exploring morphological immune responses in lymph nodes and tertiary lymphoid structure of breast cancer patients 
Organisation Boehringer Ingelheim
Country Germany 
Sector Private 
PI Contribution My group has recently identified that immune responses in cancer-free and involved lymph nodes of breast cancer patients is indicative of disease progression, especially for high risk triple negative breast cancer with low levels of tumour immune infiltrates. In the confidence in concept 2019 grant, we can test these findings in neoadjuvantly treated triple negative breast cancer patients. We are exploring the spatial and cellular composition of cancer-free and involved lymph nodes in triple negative breast cancer patients, by spatial transcriptomics using the nanoString GeoMx DSP, multiplex immuno flurescence and CyTOF.
Collaborator Contribution Dr Dinis Calado and his group at the Francis Crick has helped us to set up mouse models of triple negative breast cancers. Since Dr Calado is an expert in germinal center formation, he is directly advising us on the functional studies of lymph nodes, tumours and immune infiltrates at the primary tumour site.
Impact PhD studentship from the CRUK City of London Major Center Opn2Expert collaboration with Boehringer Ingelheim MRC infection and immunity project grant This is a multidisciplinary collaboration -I am computer scientist and Dinis Calado is an expert in mouse models. For these above listed grants, we also work with Sarah Pinder, consultant pathologists (GSTT, KCL); with Simon Walker Samuel (UCL) on High-resolution Episcopic Microscopy; with Alan Ramsay (KCL) on ex vivo cultures; and Pascal Meier (ICR) how cell death influences immune reactions.
Start Year 2020
 
Description Zooniverse project 
Form Of Engagement Activity A broadcast e.g. TV/radio/film/podcast (other than news/press)
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact We created a zooniverse project in which we ask the general public to help us annotate lymph nodes

https://www.zooniverse.org/projects/effeli/node-code-breakers-looking-for-patterns-in-lymph-nodes?
Year(s) Of Engagement Activity 2021,2022
URL https://www.zooniverse.org/projects/effeli/node-code-breakers-looking-for-patterns-in-lymph-nodes