Institute of Cancer Research Confidence in Concept (ICR CiC)

Lead Research Organisation: Institute of Cancer Research
Department Name: UNLISTED

Abstract

Institute of Cancer Research Confidence in Concept (ICR CiC)

Technical Summary

Institute of Cancer Research Confidence in Concept (ICR CiC)

People

ORCID iD

Publications

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George SL (2020) Novel therapeutic strategies targeting telomere maintenance mechanisms in high-risk neuroblastoma. in Journal of experimental & clinical cancer research : CR

 
Description Chair of ESMO 2019 Multidisciplinary session: Is Randomisation of Clinical Trials still the Gold Standard? (ID 31)
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
URL https://cslide.ctimeetingtech.com/esmo2019/attendee/confcal/session/calendar/2019-09-28
 
Description BCN Catalyst Grant
Amount £403,349 (GBP)
Funding ID 2021JulyPCC1447 
Organisation Breast Cancer Now 
Sector Charity/Non Profit
Country United Kingdom
Start 05/2022 
End 04/2025
 
Description Cancer Research UK Cancer Therapeutics Unit 22897
Amount £50,000 (GBP)
Organisation Institute of Cancer Research UK 
Sector Academic/University
Country United Kingdom
Start  
 
Description The Ian Harty Charitable Trust - Pancreatic Cancer Research Fund
Amount £100,000 (GBP)
Funding ID NA 
Organisation Ian Harty Charitable Trust 
Sector Charity/Non Profit
Country United Kingdom
Start 04/2021 
End 03/2022
 
Title Fluorescence associated cell sorting for immune, tumour, endothelial and cancer associated fibroblast cells 
Description This method provides ways to isolate particular cell types including immune, tumour, endothelial and cancer associated fibroblast cells from bulk tissues using antibody based cell sorting. 
Type Of Material Technology assay or reagent 
Year Produced 2017 
Provided To Others? No  
Impact This method provided ways to assess immunotherapy treatment effect using mouse models. 
 
Title Immunohistochemistry for immune cells using mouse tissues 
Description This method provides opportunities to measure expression of proteins in situ using mouse tissues. 
Type Of Material Technology assay or reagent 
Year Produced 2015 
Provided To Others? Yes  
Impact This provided opportunity to develop methods to detect expression immune cell type markers in mouse tumour tissues. 
URL https://cancerdiscovery.aacrjournals.org/content/early/2015/11/17/2159-8290.CD-15-0068
 
Title Immunotranscriptomics for Radiotherapy Treated Rectal Cancer Patients 
Description We developed new pipelines of bioinformatics methods using transcriptomic data from rectal cancer samples collected before and after radiotherapy. 
Type Of Material Technology assay or reagent 
Year Produced 2018 
Provided To Others? No  
Impact This tool helped us to identify immune changes before and after radiotherapy treatment in rectal cancer samples. 
 
Title In vitro immune-cancer co-culture model 
Description We have developed co-culture system involving mouse cancer cells/organoids with splenocytes to study immunotherapy. 
Type Of Material Model of mechanisms or symptoms - in vitro 
Year Produced 2019 
Provided To Others? No  
Impact This is helping us to identify personalised immunotherapy possibilities in pancreatic cancer 
 
Title NanoString Assay for mouse modeling 
Description This technology allows to measure selected gene expression using NanoString Technologies specifically tailored for pancreatic cancer mouse models. 
Type Of Material Technology assay or reagent 
Year Produced 2016 
Provided To Others? No  
Impact This provides opportunity to assess personalised application of immunotherapy in pancreatic cancer. 
 
Title Redefine and validate pancreatic ductal adenocarcinoma (PDA) gene expression subtypes using human tumours and cell lines and cross-organ comparative analysis 
Description In previous study (Collisson et al., 2011) we published 3 PDA subtypes namely quasi-mesenchymal (QM-PDA), classical and exocrine-like. In this study, we reclassified the patient PDA samples from publicly available datasets using centroids (specific scores for each gene and subtype) CRC-assigner 786 genes (Sadanandam et al., 2013) into 5 CRCassigner subtypes using Pearson correlation. We used 4 independent datasets (n=284) (i) GSE15417 (Badea et al., 2008), (ii) GSE17891 (Collisson et al., 2011), (iii) TCGA, (4) CCLE (Barretina et al., 2012) to classify pancreatic cancer samples. We performed pre-processing and normalization of these data using different algorithms (methods not described in this summary) before correlation analysis. 
Type Of Material Biological samples 
Provided To Others? No  
Impact We successfully reclassified PDA samples into CRC subtypes as proposed. The proportion of enterocyte subtype is very low in GSE151471 and UCSF data sets, and this probably could be due to low number of samples in these data sets compared to TCGA (n=183 On the other hand, there is a slight decrease in the proportion of goblet-like in TCGA compared to other data sets. This probably due to the reason that there are only subtle differences between goblet-like and enterocyte subtypes, hence, in TCGA data set there is an equal proportion of both the subtypes. The classification of PDA into goblet-like subtype probably indicates the secretory function of pancreatic ductal and acinar cells, similar to mucus secreting goblet cell. Interestingly, proportion of stem-like, TA and inflammatory subtypes are consistent across majority of the data sets. 
 
Title Integration of different gene expression datasets 
Description We developed a pipeline of tools to integrate gene expression data from different platform. 
Type Of Material Data analysis technique 
Provided To Others? No  
Impact This led to increase in the number of sample size of clustering gene expression data. 
 
Title Molecular characterisation of pancreatic cancer subtypes using gene expression profiles and deconvolution of immune cells heterogeneity 
Description We applied multiple published tools, such as CIBERSORT, ssGSEA, GSEA, to characterise the relative abundance different cell types present in pancreatic cancer patient samples. 
Type Of Material Data analysis technique 
Year Produced 2017 
Provided To Others? No  
Impact This approach allowed us to estimate the relative abundance of different immune cell types in different pancreatic cancer subtypes. Quantifying the prevalence of different immune cells present in a tumour microenvironment can potentially help in identifying patients that are most likely to respond to immunotherapy. 
 
Description Break Induced Replication repair - molecular mechanism and regulation 
Organisation Academy of Athens
Department Biomedical Research Foundation Academy of Athens
Country Greece 
Sector Charity/Non Profit 
PI Contribution We have identified and characterised a novel mechanism that operates at dysfunctional telomeres. Inhibition of this pathway is synthetic lethal with the inhibition of BLM helicase, DNA2 nuclease and Pold3 polymerase.
Collaborator Contribution My collaborator characterised telomeric abnormalities arising upon inhibition of this novel pathway.
Impact Manuscript in preparation
Start Year 2020
 
Description Mechanisms of cellular resistance to ATR inhibitors 
Organisation Royal Marsden NHS Foundation Trust
Country United Kingdom 
Sector Public 
PI Contribution My laboratory is performing analysis associated with elucidating the mechanism of ATRi resistance in cancer
Collaborator Contribution Identification of genes that confer resistance to ATRi
Impact Manuscript in preparation
Start Year 2019
 
Description Mouse cell lines and tumours 
Organisation Swiss Federal Institute of Technology in Lausanne (EPFL)
Country Switzerland 
Sector Public 
PI Contribution We profiled the genetically engineered mouse tumours and cell lines provided by collaborator.
Collaborator Contribution Our collaborator Prof. Doug Hanahan provided genetically engineered mouse tumours and cell lines from pancreatic cancer.
Impact We recently presented at European Society for Medical Oncology (ESMO) Immunology Congress.
Start Year 2016
 
Description Pancreatic Ductal Adenocarcinoma patient samples and RNAseq 
Organisation University of Verona
Department Applied Research on Cancer (ARC-NET)
Country Italy 
Sector Academic/University 
PI Contribution We performed RNAseq using patient material obtained from this collaboration.
Collaborator Contribution Prof. Aldo Scarpa from ARC-NET, University of Verona provided pancreatic ductal adenocarcinoma samples.
Impact This project led to RNAseq of patient samples.
Start Year 2012
 
Description Transcriptome and sequencing technology partnership 
Organisation Mayo Clinic
Country United States 
Sector Charity/Non Profit 
PI Contribution We have developed computational pipeline for large scale RNAseq data analysis.
Collaborator Contribution Our collaborator Dr. Nagarajan Kannan is collaborating to provide RNAseq technology platform for the research.
Impact We presented a part of the research twice in 2018 and 2019 at European NeuroEndocrine Tumor Society (ENETS) as below. Sadanandam, A.Young, K.Lawlor, R.Patil, Y.Ragulan, C.Luchini, C.Cantu, C.Mansfield, D.Melcher, A.Cunningham, D.Starling, N.Scarpa, A. (2019). Immune Characteristics of Pancreatic Neuroendocrine Tumors According to Grade and Molecular Subtypes, NEUROENDOCRINOLOGY, Vol.108, p.34. Sadanandam, A.Young, K.Nyamundanda, G.Ragulan, C.Lawlor, R.Scarpa, A. (2018). Development of Multiplex Biomarker Assay to Subtype Pancreatic Neuroendocrine Tumors (PanNETs) with Distinct Prognosis and Mutations, NEUROENDOCRINOLOGY, Vol.106, p.164.
Start Year 2017
 
Title Folic acid drug conjugate 
Description Synthesised folic acid conjugate with PARP inhibitor. Applied for DPFS grant and was unsuccessful. Currently in discussions with two pharmaceutical companies related to the development of ATR inhibitor folate drug conjugates. 
Type Therapeutic Intervention - Drug
Current Stage Of Development Initial development
Year Development Stage Completed 2021
Development Status Actively seeking support
Impact Scientific understanding related to linkers of folic acid within a folate drug conjugate. 
 
Title Folic acid drug conjugate 
Description Synthesised folic acid conjugate with microtubule stabilizing agent. Not possible to further develop drug due to lack of efficacy. 
Type Therapeutic Intervention - Drug
Current Stage Of Development Initial development
Year Development Stage Completed 2020
Development Status Closed
Impact Scientific understanding related to linkers of folic acid within a folate drug conjugate. 
 
Title Immunotranscriptomics 
Description We have now developed immunotranscriptomics approach for mouse tumours. 
Type Of Technology New/Improved Technique/Technology 
Year Produced 2020 
Impact We can identify high inflammed tumours before using the organoids from mouse tumours. 
 
Description A talk or presentation at University of Nottingham 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Other audiences
Results and Impact I presented my work at this meeting.
Year(s) Of Engagement Activity 2020
 
Description ESMO Immunoncology Congress presentation 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Postdoctoral Fellow from Sadanandam Lab presented the work as a poster at European Society for Medical Oncology (ESMO) Immunoncology Congress in Geneva, Switzerland.
Year(s) Of Engagement Activity 2019
URL https://oncologypro.esmo.org/meeting-resources/esmo-immuno-oncology-congress-2019/a-personalised-app...
 
Description Presentation 2 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact 14th Annual Biomarker Congress - Presenter - Anguraj Sadanandam (PI)
Year(s) Of Engagement Activity 2019
 
Description Presentation at Oxford - invited talk 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Postgraduate students
Results and Impact I was invited to present at Oxford by pancreatic cancer practitioners and researchers.
Year(s) Of Engagement Activity 2020