Using tumour, peripheral blood and sentinel nodal transcriptomics to understand the interaction between melanomas and the host

Lead Research Organisation: University of Leeds
Department Name: School of Medicine

Abstract

UK melanoma incidence has increased more rapidly since the 1970's than any other cancer and in 2011 there were 13,348 affected patients. Although the increased incidence in recent years has been greater in people over the age of 60, melanoma occurs in a significant proportion in very young adults. Although the majority of melanoma patients, thankfully are cured by their surgery, until very recently indeed, the treatment for melanoma which has spread to other organs has been terrible. The progress in the last 6 years has been that even advanced melanoma has been successfully treated (apparently for the long term) with treatments that work by activating immune responses in the patient: effectively encouraging the patient's own immune system to reject their cancer. Although these long term responses have been ground breaking much needs to be done to capitalise on the progress. There is a need , to predict who will respond, to find drugs for the non-responders and especially to identify patients early in their disease who require, and will benefit from immunotherapy to prevent progression (so-called adjuvant treatment). In order to meet these needs, a better understanding of what determines how patients' immune systems interact with the tumour cells is needed.
Existing research has shown that in some patients, their immune cells invade the tumour and may actually destroy it. However, it is clear that the tumour cells often then sense that attack and are able to turn off those immune responses. We have preliminary evidence that a number of factors can modulate this process: that a harmful sort of inflammation in the whole body and in the tumour may promote the progression of the tumour and appears to be associated with a suppression of immune responses. Many inflamed tumours have ulceration of the skin surface seen by the pathologist down the microscope, which is associated with poorer survival. This ulceration is more common in smokers and less common in people with higher levels of vitamin D in their blood. In this application we seek funding to better understand ulceration, the role of inflammation, smoking and vitamin D in survival and the interaction between tumour cells and the immune system. The project is designed to do this using a form of genetics, which is the expertise of the group. We are recruiting to a study in Leeds, in which patients give blood samples and allow us to take samples from their tumours and their lymph glands stored in NHS laboratories. We will use laboratory techniques to look at how the genes in those tumours, blood samples and lymph glands are expressed. We will then use computer based tests (bioinformatics) to estimate the activity of different parts of the immune system in those data. In so doing we will be able to study how inflammation, ulceration, smoking, vitamin D, and different tumour types associate with different patterns of immune activity.
If we can thereby identify what allows some patients to mount an immune response, how the cancers turn off that immune response and what factors affect these processes, then we argue that we will be able to both develop low toxicity treatments which can be used in early disease and to identify patients who will benefit from those treatments. We will understand if there is evidence that harmful inflammation such as that associated with smoking and obesity suppresses immune responses to cancer and reduces survival and the effects of vitamin D. We will therefore be able to better advise patients at diagnosis about factors which may be important to their prognosis and if inflammation does play a role in suppressing immune responses to melanoma then we will explore common drug therapies such as aspirin and other non-steroidal anti-inflammatory drugs as adjuvant therapies.
In the final period of the project we will use what we have learned to devise tests (predictive biomarkers) to target drug treatments to those who will benefit most.

Technical Summary

We will address the objectives described using data from 2 studies
1. We will recruit 300 newly diagnosed melanoma patients to the Ulceration and Immunity Study (164 to date), in which patients are bled at presentation and 4 intervals in the first year.
a)The participants allow sampling of the stored paraffin embedded primary tumours and sentinel nodes, and the generation of transcriptomic data from those tissues using the Affymetrix HTA.
b) Vitamin D levels are measured at each time point and patients supplemented if indicated by Leeds clinical protocols.
c) Peripheral blood white cell RNA is fixed at the bedside using Leukolock filters for gene expression analysis.
d) The transcriptomes of melanoma primaries, blood and nodes will be analysed agnostically using pathway analysis (Metacore). Using bioinformatics we will derive data sub-sets which are indicative of the presence of different components of the immune system (the immunome), as pioneered by INSERM U872, Laboratory of Integrative Cancer Immunology, in order to investigate the interaction between tumour and immune cells.
e) Previously we have generated primary tumour transcriptomes from 222 melanoma primaries from the Leeds Melanoma Cohort in which application of the bioinformatic approach developed by the INSERM group resulted in the identification of clusters which were strong independent predictors of survival. We will test these clusters in the new samples from the Ulceration and Immunity Study and determine the associations between these tumour sub-groups and the transcriptomic derived "immunomes', in order to understand whether the 'clusters" have survival significance because of the immunological processes evidenced in blood and nodes.
2. We will recruit a second set of patients commencing systemic therapy for stage 4 disease and seek consent to use blood, tumour and nodal samples in which the signatures derived from the Ulceration and Immunity Study can be tested as predictive biomarkers

Planned Impact

1. Melanoma patients
(a) Given the incidence of melanoma under the age of 35, many potential years of life are lost to melanoma. This project will inform the development of adjuvant therapies with the hope of reducing recurrence and melanoma deaths. Preliminary data suggest that 'smouldering' inflammation may play a role in melanoma mortality. This chronic inflammation is associated with smoking and reduced by non-steroidal anti-inflammatories. This suggests potential adjuvant therapies that are low-cost and relatively non-toxic (such as Cox 2 inhibitors) for at least a proportion of patients.
(b) The identification of prognostic biomarkers and predictive biomarkers for immunotherapies will bring real life benefits to patients (better outcome and less toxicity).

2. Economic/commercial entities
We plan to develop a robust blood test to assess suppression of immune responses in cancer patients. We are exploring the commercial potential of such a test with the Leeds University Stratified Medicine Hub. Engaging suitable economic partners for the development of such a test would clearly be of economic benefit to the nation.

3. The NHS
The identification of effective predictive biomarkers will have economic benefits for the NHS in terms of targeting expensive therapies at those most likely to benefit and reducing unnecessary toxicity.

4. Cancer researchers/clinical trials
By fixing RNA at venesection we will enable routine collection of samples for immune assays in busy clinics for the first time. This approach may be valuable to researchers trying to develop similar predictive biomarkers in other cancers and indeed in other medical conditions where immunosuppression is important, such as autoimmune disease or organ transplants.

5. Bioinformatics research
Whilst the potential for transcriptomics in many areas of health is recognised, the science of bioinformatics remains poorly developed. This project will provide insight into this development in conjunction with the Leeds MRC Clinical Bioinformatics Centre.

6. People at risk of melanoma/general public
(a) It may be that even if smouldering inflammation does play a role in suppressing immune responses to melanoma, that the 'dye is cast' at the time of diagnosis; reversing inflammation after diagnosis may be too late to promote the development of immune responses without potent immunomodulatory drugs such as Ipilimumab. Prophylactic reversal of inflammation may therefore be vital in those at increased risk of melanoma such as those with the atypical mole syndrome (2% of the population) or a strong family history of melanoma and therefore important to the nation's health.
(b) We have good evidence that smoking at diagnosis increases the likelihood of death and this information could help some people to stop smoking to their benefit whether cancer patients or not.

7. Patients at risk of, or suffering from, other forms of cancer
We contend that host immune responses play a protective role in melanoma and that studying this cancer will inform the management of other cancers.

Publications

10 25 50
 
Title Biological sample/data collection 
Description Blood, extracted DNA/RNA from primary melanomas, nodal tissue and (later) metastatic tumour were collected in the course of this MRC funded project grant in a study of newly diagnosed melanoma patients in a study called the Vitamin D and Immunity Study. These samples are currently being used/planned for use in collaborations. In time, when the data are properly collated/examined then gene expression data from all of the above tissues will be made available using internationally available web sites. As we submit the first paper now in February 2023 we will upload the data from the peripheral blood transcriptomes. 
Type Of Material Biological samples 
Year Produced 2023 
Provided To Others? Yes  
Impact This resource will underpin key collaborations internationally and will ultimately be a valuable (unique) resource for others. Some of the data derived from the measurement of circulating inflammatory markers and full blood count were reported by Davies et al PCMR 2022. Two other papers are in preparation which report data from the peripheral blood: transcriptomes generated using an Affymetrix Whole Genome array. These data will be made available to others at publication now in Feb 2023. 
 
Title Peripheral blood transcriptomes from 385 primary melanoma patients (VDI study) and from 72 patients just starting immunotherapy (PBT study) 
Description The 385 VDI study blood samples were collected at melanoma diagnosis, 4 weeks, 3 months, 6 months and 12 months. The samples were filtered through leukolock filters to remove global RNA, the RNA extracted, and whole genome transcriptomic data generated using Affymetrix arrays. The diagnostic (ie data generated at diagnosis) data have been interrogated first using a differential gene expression approach in order to identify biological pathways associated with immune cell infiltration into tumours (TILs) and survival. A similar approach was taken to sampling the 72 PBT patients just starting immunotherapy. The VDI study ceased recruitment in 2016 and the consequent data are mature. The PBT study samples and data have been used in colleborations but the gene expression data from tissue has not given the small study size. We have identified AP-1 singling in the circulating immune cells as the strongest predictor of TILs which we continue to explore. Second we have taken an agnostic approach to identifying a prognostic signature. The latter approach utilised a randomly selected 2/3 data training set and a 1/3 test set. Most encouraging results have been obtained identifying a signature which predicts melanoma death which was robust to testing in the second data set. We will publish these data when we have sought validation is the samples collected from patients undergoing immunotherapy as planned in the original grant application. Recruitment to the latter study has been slow and the total data set 72 complete data sets from these patients and we will now test the identified signature as a putative predictive biomarker for checkpoint blockade using PCR. We will make the data open to other researchers at publication. The first paper was published in 2022 Davies et al and the second was submitted February 2023 : somewhat later than hoped as a result of COVID19 and our inability to access the laboratories for many months and therefore to complete the wet lab work. We have described findings in the collaborations section. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? No  
Impact We are hopeful that the approach will eventuate in a prognostic biomarker for early disease which is critically important in order to select patients for adjuvant therapy. The identification of differentially expressed genes in circulating immune cells in association with TILs suggests potentially modifiable indeed durable targets for resistance to immunotherapy which may be of value in other cancers as well as in melanoma. 
 
Title Primary melanoma transcriptomic data 
Description These data have been generated using this grant from 703 participants' tumours in a Leeds cohort study. Currently the data are still in analysis but the transcriptomic data set along with corresponding mutation data have been made available via EMBL in Cambridge. The tumor data from the VDI study from 185 tumors is still being interrogated but will be submitted at first publication. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact This is an essential component of the MRC and CRUK funded projects in which we look at differential gene expression in tumours associated with melanoma death, response to treatment and markers of systemic inflammation. We have identified melanoma subtypes previously described (Nsengimana et al 2018) in this independent cohort (the VDI Cohort) and shown associated differences in survival patterns between subtypes as were described in the Nsengimana paper. This validation is not yet published. We are comparing biological pathways identified as associated with the above criteria in tumours with biological pathways identified in the blood and draining lymph nodes to understand cross talk between these organs, of relevance to melanoma survival. The first paper resulting from MRC funding which explores host and tumour factors associated with tumour ulceration, was published by Davies et al in 2020. There are two research data sets from this pork uploaded to the EBI, transcriptomic data from 703 primary melanomas and mutation data from 500 of those tumours (submitted 2021). These resources have in truth been built over many years and have used funds from CR UK, NCI as well as MRC. 
URL http://www.ebi.ac.uk
 
Title Transcriptomes generated from sentinel lymph nodes (lymphoid tissue rather than tumour metastases), tumour tissue and blood 
Description A proportion of the 394 participants in this study had a sentinel node biopsy. We sought consent to sample the nodal tissue and to generate transcriptomic data in order to develop a measure of the immune response to the tumour. RNA has been extracted from these nodes and transcriptomic data generated using an Affymetrix Whole Genome Array. Sampling these nodes will allow an investigation of the tumour, peripheral blood, nodal immune cell cross talk. The data have been normalised and a T cell score was computed and tested as a prognostic marker. A significant prognostic value was demonstrated and we are now exploring other bioinformatic approaches to generating potential prognostic biomarkers. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? No  
Impact Analysis is actively taking place: the first samples from the study generated were from the blood and therefore the analyses of this element of the study are most advanced. The data from peripheral blood transcriptomes is being uploaded February 2023 as the first paper is submitted to Cancer Research. The tumor and nodal transcriptome data sets are still in 2023 being worked on in Leeds and by formal agreement, with Dr Jeremie Nsengimana at the University of Newcastle who was previously the statistician working on the data in Leeds. At publication these data will be made available to others. 
 
Description Cell state diversity promotes metastasis through heterotypic cluster formation in melanoma 
Organisation Memorial Sloan Kettering Cancer Center
Country United States 
Sector Academic/University 
PI Contribution The lab was approached by Dr Richard M White to collaborate in terms of interrogating human whole transcriptome data generated from primary melanoma patients which was CR UK funded but which was also the first aim of the MRC funded project grant reported here. The intent was to seek to test if findings made by the White lab in a fish model held up in human data.
Collaborator Contribution Jeremie Nsengimana in the Leeds group worked with the White group to explore their in vitro findings in analyses of the 703 whole genome transcriptomes generated from participants in the Leeds Melanoma Cohort. The analysis supported the findings of the White Lab in the fish model and this work was published be Campbell et al Dev Cell 56(20): 2808-2825, 2021.
Impact The paper quoted above
Start Year 2019
 
Description Lymphocyte receptor repertoire and melanoma survival 
Organisation Alchemab Therapeutics
Country United Kingdom 
Sector Private 
PI Contribution We have collected serum, plasma and whole blood RNA/DNA (amongst other samples) from 393 newly diagnosed melanoma patients funded by this grant. The samples were collected at diagnosis in a study called the Vitamin D and Immunity Study (VDI). The aims of the study are essentially to understand the determinants of immune responses to melanoma and ultimately to identify prognostic biomarkers and biomarkers predictive of response to therapies. It was our hypothesis, based upon small studies by others that specific clones of B and T cells play a role in determining outcomes and the samples we have collected combined with high quality clinical data and recurrence data, in order to test this hypothesis. We have provided relevant samples to Alchemab covered by an MTA signed by the company and the University. We are working collaboratively.
Collaborator Contribution The samples are being processed and we have seen results but we are obliged not to discuss the details of these results currently to preserve IP.
Impact We anticipate publishing data this year, possibly early next year.
Start Year 2021
 
Description Novel gain-of-function genetic alterations of G9a drive oncogenesis 
Organisation Massachusetts General Hospital
Country United States 
Sector Hospitals 
PI Contribution We established a collaboration with the Fisher Laboratory at the Massachusetts General Hospital in Boston, USA in which we analyses our transcriptomic data generated using CR UK grant funding, to test the hypotheses generated in the Fisher laboratory relating to G9a.
Collaborator Contribution The Fisher group developed the hypothesis that G9a plays a significant role in melanoma oncogenesis and sought validation of their in vitro data in our transcriptomic data set. The paper with the title given above was accepted for publication in Cancer Discovery today March 12th 2020.
Impact Novel gain-of-function genetic alterations of G9a drive oncogenesis, Kato et al Cancer Discovery accepted March 2020
Start Year 2018
 
Description PRIMM-UK 
Organisation King's College London
Country United Kingdom 
Sector Academic/University 
PI Contribution The PRIMM-UK study is being led by Kings College and its aims are similar to the very last objective of our MRC grant ie to look at predictors of benefit from checkpoint blockade therapy for advanced melanoma. It has proved difficult for all groups to recruit sufficient numbers of participants to identify statistically significant results given the multidimensionality of the data, the relative rarity of the patients and because of COVID. We are therefore collaborating and sharing samples. The paper reporting this collaboration focusing on the gut microbiome was published in Nature Medicine in March 2022, Lee et al. A second paper was published reporting circulating inflammatory markers, Rossi et al Circulating inflammatory proteins associate with response to immune checkpoint inhibition therapy in patients with advanced melanoma, in 2022 in EBiomedicine, vol 83, 104235.
Collaborator Contribution We are one group of 5 European groups in the UK, the Netherlands and Spain, recruiting participants just before they start treatment which checkpoint blockade for advanced melanoma. In our MRC study we are looking at immune function prior to treatment using the peripheral blood transcriptome and tumour genomics but we also collected DNA from faeces. The faecal DNA was sequenced in order to study the microbiome and the analysis compared the associations between the microbiome sequence data and response to therapy across these centres. Recruitment ceased in Leeds over COVID and has not recommenced due to stresses within the NHS. We are currently working with the University Governance Department to transfer the samples to the University of Nottingham (Dr Hester Franks) who will continue recruitment there.
Impact Lee et al Nature Medicine 2022 Rossi et al EBIOMedicine 2022
Start Year 2020
 
Description Using Artificial Neural Network (ANN)-based network analysis to understand tumour biology 
Organisation Nottingham Trent University
Country United Kingdom 
Sector Academic/University 
PI Contribution The transcriptomic data generated from tumour samples in the Leeds Melanoma Cohort samples was explored using differential gene expression and MetaCore TM software, and these results have been published in an exploration of the histopathological presence of ulceration in 2022. This was an aim of the MRC grant. We also collaborated with Dr Ball who uses Artificial Neural Network (ANN)-based network to explore how the gene expression pathways identified in the differential gene expression analysis, fit together. This identified Myc beta catenin signalling as an important contributor to the phenotype and therefore to outcome.
Collaborator Contribution We sampled the blood at diagnosis, in 393 recently diagnosed melanoma patients. We generated transcriptomes from the filtered immune cells in whole blood samples, using Affymetrix arrays. Dr Ball used his AI approcah to explore these samples in terms of the associations between immune cell transcriptomes and tumour thickness, TILS and ulceration. We also explored the associations of the differentially expressed pathway analysis using MetaCore. In fact the differential gene expression and Metacore analysis was most informative and a paper reporting the findings was submitted to Cancer Research in February 2023.
Impact Davies et al, Ulcerated melanoma: Systems biology evidence of inflammatory imbalance towards pro-tumourigenicity, Journal Pigment Cell and Melanoma Research 2022, 35:252-26 Randerson-Moor et al Submitted February 2023
Start Year 2019
 
Description White Rose University Consortium funded digital spatial profiling study 
Organisation EMBL European Bioinformatics Institute (EMBL - EBI)
Country United Kingdom 
Sector Academic/University 
PI Contribution A small grant was obtained from the White Rose University Consortium as pump priming funding, intended to facilitate research to be performed using the Nanostring DSP Technology. The University of York Bioscience Technology Centre has a GeoMx® Digital Spatial Profiler, the hardware for delivering spatial data on protein or RNA expression in tissues. Professor Claire Lewis in Sheffield and our group in Leeds both wanted to adopt the technology but as it is expensive it was difficult to obtain sufficient preliminary data to submit in a grant application. The grant allows Professor Lewis and our group to share the cost of reagents and the University of York had funding to provide machine and manpower to run the samples.
Collaborator Contribution Dr Dimitris Lagos in York was the applicant to the White Rose funding stream and Professors Lewis and Newton-Bishop were co -applicants. Tissue micro arrays were made cores taken from FFPE primary melanoma samples collected in the course of the MRC funded Vitamin D and Immunity study. 393 newly diagnosed primary melanoma patients were recruited and the majority consented to sampling of stored FFPE tissue, 180 cores were used where the blocks were sufficiently large. The aim is to study the spatial distribution of immune cell subsets detected using Nanostring DSP (essentially a multiplex immunohistochemistry) at the invasive edge of the primaries and to relate that to survival, the tumour transcriptomes and the peripheral blood transcriptomes generated in the same study. The experiment was delayed by COVID but the data are now available and are being explored in Leeds but collaborating with the Sanger and the Gerstung lab at EMBL Cambridge.
Impact All this work was halted during the COVID pandemic. The samples were finally processed in York the week beginning November 2021. The data were released to us in February 2020. We are very pleased with the quality of the data and that the majority of the tumour cores generated data, and we are currently completing quality control analyses. We have established collaborations with Dr David Adams from the Sanger Institute to analyse the data using AI.
Start Year 2019
 
Description White Rose University Consortium funded digital spatial profiling study 
Organisation The Wellcome Trust Sanger Institute
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution A small grant was obtained from the White Rose University Consortium as pump priming funding, intended to facilitate research to be performed using the Nanostring DSP Technology. The University of York Bioscience Technology Centre has a GeoMx® Digital Spatial Profiler, the hardware for delivering spatial data on protein or RNA expression in tissues. Professor Claire Lewis in Sheffield and our group in Leeds both wanted to adopt the technology but as it is expensive it was difficult to obtain sufficient preliminary data to submit in a grant application. The grant allows Professor Lewis and our group to share the cost of reagents and the University of York had funding to provide machine and manpower to run the samples.
Collaborator Contribution Dr Dimitris Lagos in York was the applicant to the White Rose funding stream and Professors Lewis and Newton-Bishop were co -applicants. Tissue micro arrays were made cores taken from FFPE primary melanoma samples collected in the course of the MRC funded Vitamin D and Immunity study. 393 newly diagnosed primary melanoma patients were recruited and the majority consented to sampling of stored FFPE tissue, 180 cores were used where the blocks were sufficiently large. The aim is to study the spatial distribution of immune cell subsets detected using Nanostring DSP (essentially a multiplex immunohistochemistry) at the invasive edge of the primaries and to relate that to survival, the tumour transcriptomes and the peripheral blood transcriptomes generated in the same study. The experiment was delayed by COVID but the data are now available and are being explored in Leeds but collaborating with the Sanger and the Gerstung lab at EMBL Cambridge.
Impact All this work was halted during the COVID pandemic. The samples were finally processed in York the week beginning November 2021. The data were released to us in February 2020. We are very pleased with the quality of the data and that the majority of the tumour cores generated data, and we are currently completing quality control analyses. We have established collaborations with Dr David Adams from the Sanger Institute to analyse the data using AI.
Start Year 2019
 
Description White Rose University Consortium funded digital spatial profiling study 
Organisation University of Sheffield
Department Sheffield Cancer Research Centre
Country United Kingdom 
Sector Academic/University 
PI Contribution A small grant was obtained from the White Rose University Consortium as pump priming funding, intended to facilitate research to be performed using the Nanostring DSP Technology. The University of York Bioscience Technology Centre has a GeoMx® Digital Spatial Profiler, the hardware for delivering spatial data on protein or RNA expression in tissues. Professor Claire Lewis in Sheffield and our group in Leeds both wanted to adopt the technology but as it is expensive it was difficult to obtain sufficient preliminary data to submit in a grant application. The grant allows Professor Lewis and our group to share the cost of reagents and the University of York had funding to provide machine and manpower to run the samples.
Collaborator Contribution Dr Dimitris Lagos in York was the applicant to the White Rose funding stream and Professors Lewis and Newton-Bishop were co -applicants. Tissue micro arrays were made cores taken from FFPE primary melanoma samples collected in the course of the MRC funded Vitamin D and Immunity study. 393 newly diagnosed primary melanoma patients were recruited and the majority consented to sampling of stored FFPE tissue, 180 cores were used where the blocks were sufficiently large. The aim is to study the spatial distribution of immune cell subsets detected using Nanostring DSP (essentially a multiplex immunohistochemistry) at the invasive edge of the primaries and to relate that to survival, the tumour transcriptomes and the peripheral blood transcriptomes generated in the same study. The experiment was delayed by COVID but the data are now available and are being explored in Leeds but collaborating with the Sanger and the Gerstung lab at EMBL Cambridge.
Impact All this work was halted during the COVID pandemic. The samples were finally processed in York the week beginning November 2021. The data were released to us in February 2020. We are very pleased with the quality of the data and that the majority of the tumour cores generated data, and we are currently completing quality control analyses. We have established collaborations with Dr David Adams from the Sanger Institute to analyse the data using AI.
Start Year 2019
 
Description White Rose University Consortium funded digital spatial profiling study 
Organisation University of York
Department Bioscience Technology Facility
Country United Kingdom 
Sector Academic/University 
PI Contribution A small grant was obtained from the White Rose University Consortium as pump priming funding, intended to facilitate research to be performed using the Nanostring DSP Technology. The University of York Bioscience Technology Centre has a GeoMx® Digital Spatial Profiler, the hardware for delivering spatial data on protein or RNA expression in tissues. Professor Claire Lewis in Sheffield and our group in Leeds both wanted to adopt the technology but as it is expensive it was difficult to obtain sufficient preliminary data to submit in a grant application. The grant allows Professor Lewis and our group to share the cost of reagents and the University of York had funding to provide machine and manpower to run the samples.
Collaborator Contribution Dr Dimitris Lagos in York was the applicant to the White Rose funding stream and Professors Lewis and Newton-Bishop were co -applicants. Tissue micro arrays were made cores taken from FFPE primary melanoma samples collected in the course of the MRC funded Vitamin D and Immunity study. 393 newly diagnosed primary melanoma patients were recruited and the majority consented to sampling of stored FFPE tissue, 180 cores were used where the blocks were sufficiently large. The aim is to study the spatial distribution of immune cell subsets detected using Nanostring DSP (essentially a multiplex immunohistochemistry) at the invasive edge of the primaries and to relate that to survival, the tumour transcriptomes and the peripheral blood transcriptomes generated in the same study. The experiment was delayed by COVID but the data are now available and are being explored in Leeds but collaborating with the Sanger and the Gerstung lab at EMBL Cambridge.
Impact All this work was halted during the COVID pandemic. The samples were finally processed in York the week beginning November 2021. The data were released to us in February 2020. We are very pleased with the quality of the data and that the majority of the tumour cores generated data, and we are currently completing quality control analyses. We have established collaborations with Dr David Adams from the Sanger Institute to analyse the data using AI.
Start Year 2019
 
Description Second UK Annual Melanoma Patient Conference 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Patients, carers and/or patient groups
Results and Impact I gave a talk at this meeting relating to the value of biomarkers and another about the value of psychological support for melanoma patients. Both were published via YouTube (see URL below.THis is the second https://www.youtube.com/watch?v=coWiZrX3aVE
Year(s) Of Engagement Activity 2017
URL https://www.youtube.com/watch?v=JB3kMrjcsVE