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- Nottingham Trent University
- Unit of assessment
- 3 - Allied Health Professions, Dentistry, Nursing and Pharmacy
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
Ball has developed patented Artificial Neural Network based techniques to facilitate extraction of aetiological meaning from complex omics data repositories. NTU spin-out Intelligent OMICS has licenced and commercialised Ball’s patented techniques, generating £230k revenues and attracting £2m finance. Intelligent OMICS has helped secure US Defence Threat Reduction Agency contracts with DSTL worth £4.5m to enable rapid diagnosis of infection, particularly trauma induced sepsis, impacting on healthcare in the military. Intelligent OMICS incorporation of AI methods into drug discovery process enabled Cumulus Oncology’s successful £1.7m fund raise. Low-cost diagnostic panels have been shown to manage COPD by Mologic, benefitting clinical trial patients, and 56 latent TB cases identified during trials with Wuhan Pulmonary Hospital (China) enabled these patients to receive early treatment.
2. Underpinning research
New approaches for studying disease systems at the genomic, epigenetic, proteomic and metabolomic levels are continually developed to predict responses to therapy or identify new drug targets. The challenges in analysing large molecular datasets lie in their volume, resolution and complexity, and the quality of the data, which can lead to false discovery and overfitting (i.e. falsely elevated diagnostic performance).
Research at NTU, led by Ball over 18 years, has developed a novel Machine Learning systems approach to in silico biomarker discovery. Based on Artificial Neural Networks (ANNs), Ball’s computational algorithms facilitate analysis of large complex omics datasets, to identify non-linear biomarkers associated with clinical features concordant across multiple datasets. The algorithms study interactions between nodes within a single disease pathway and identify the most influential sets of biomarkers in a given biological system.
The initial concept was to utilise ANNs with a constrained architecture enabling them to discover robust biomarkers from complex omics data. Ball’s group was the one of the first to mine mass spectrometry data using an ANN approach; the first study identified biomarker ions that accurately differentiated between two common types of brain tumours, astrocytoma and glioblastoma ( R1). These ANN algorithms were further developed to model public molecular data repositories like the Gene Expression Omnibus and The Cancer Genome Atlas ( G1, G2, G3, G4) in order to identify robust molecular diagnostic panels from the whole transcriptome, concordant across multiple data sets. This approach provided a rank order of the molecular biomarkers associated with a given clinical question, overcame the issues of false discovery and overfitting, and improved the predictive performance for unseen cases from disease populations. In a collaborative study ( G5, G6, G7, G8) (Ball: Joint PI) with Nottingham University Hospitals Trust (NUH), it was used to validate a gene expression profile for the detection of clinical outcomes in breast cancer patients, having reduced a 70-gene signature to just nine genes capable of accurately predicting distant metastases ( R2). Patents for the ANN data methods were filed in 2009, and a spinout company Intelligent OMICS was launched to exploit the algorithmic IP and the methods (Note: Compandia Ltd was incorporated 12 Feb 2008, then renamed CompanDX Ltd, the company is now CompanDX PVT in China and Intelligent OMICS in the UK).
Further work extended the rank order concept to undertake a meta-analysis over multiple questions and multiple data sets ( G1). Ball developed a new algorithm that utilised ANN-based network inference (ANNi) methods ( G1, G3) to model networks of molecular interactions between context-specific biomarkers, for a given pathway or disease, based on whole transcriptomic data. By identifying associations between molecules in a pathway and the remaining molecules in the whole transcriptome, new pathway features for a given disease could be identified and analysed to find the most influential molecular drivers in a given system.
These new approaches were applied in a breakthrough study, with NUH, Universities of Nottingham, Cambridge and Auckland and China’s Northeast Normal University, analysing the transcriptomic gene expression levels associated with multiple proliferation features in over 4500 breast cancer cases. Published in The Lancet Oncology, the research identified a gene SPAG5 which, was the most influential in the proliferation system and indicates which patients will benefit from chemotherapy, meaning SPAG5 could be a new therapeutic target and a biomarker for the tailoring of breast cancer treatment ( G5, R3). The study identified a total of 34 biomarkers in the breast cancer proliferation system. These markers had a calculated probability of false discovery of less than 1x10-73, further demonstrating the efficacy of the ANNi approach. The ANNi methodology was also successful in specifying influential genes that could be new target markers for childhood sarcomas ( R4); in identifying, via a commercial contract with Syngenta, transcriptomic regulators of ripening in the tomato ( R5); and in modelling the ATR-CHEK1 system (critical for genomic stability) to predict and validate therapeutic targets for breast cancer ( R6). Ball’s ANN-based technologies have been applied to numerous clinical questions and the results described in 200-plus publications.
3. References to the research
Underpinning research quality is evidenced by rigorously externally peer reviewed outputs:
R1. G . Ball, S . Mian, F . Holding, R.O. Allibone, J. Lowe, S. Ali, G. Li, S. McCardle, I.O. Ellis, C. Creaser, R.C. Rees. An integrated approach utilising artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers. Bioinformatics 18 (3), pp. 395-404 (2002)
http://doi.org/10.1093/bioinformatics/18.3.395
R2. L.J. Lancashire, D.G. Powe, J.S. Reis-Filho, E. Rakha, C. Lemetre, B. Weigelt, T.M. Abdel-Fatah, A.R. Green, R. Mukta, R. Blamey, E.C. Paish, R.C. Rees, I.O. Ellis, G.R. Ball. A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks. Breast Cancer Research and Treatment 120, pp. 83-93 (2010)
http://doi.org/10.1007/s10549\-009\-0378\-1
R3. T.M.A. Abdel-Fatah, D. Agarwal, D.-X. Liu, R. Russell, O.M. Rueda, K. Liu, B. Xu, P.M. Moseley, A.R. Green, A.G. Pockley, R.C. Rees, C. Caldas, I.O. Ellis, G.R. Ball, S.Y.T. Chan. SPAG5 as a prognostic biomarker and chemotherapy sensitivity predictor in breast cancer: a retrospective, integrated genomic, transcriptomic, and protein analysis. The Lancet Oncology 17(7), pp. 1004-1018 (2016). http://doi.org/10.1016/S1470\-2045\(16\)00174\-1
R4. D.L. Tong, D.J. Boocock, G.K.R. Dhondalay, C. Lemetre, G.R. Ball. Artificial Neural Network Inference (ANNI): A Study on Gene-Gene Interaction for Biomarkers in Childhood Sarcomas. PLoS ONE 9(7), Art. No. e102483 (2014). http://doi.org/10.1371/journal.pone.0102483
R5. Y. Pan, G. Bradley, K. Pyke, G.R. Ball, C. Lu, R. Fray, A. Marshall, S. Jayasuta, C. Baxter, R. van Wijk, L. Boyden, R. Cade, N.H. Chapman, P. Faser, C. Hodgman, G.B. Seymour. Network Inference Analysis Identifies an APRR2-Like Gene Linked to Pigment Accumulation in Tomato and Pepper Fruits. Plant physiology 161(3), pp/ 1476-1485 (2013)
http://doi.org/10.1104/pp.112.212654
R6. T.M.A. Abdel-Fatah, F.K. Middleton, A. Arora, D. Agarwal, T. Chen, P.M. Moseley, C. Perry, R. Doherty, S. Chan, A.R. Green, E. Rakha, G.R. Ball, I.O. Ellis, N. J. Curtin, S. Madhusudan. Untangling the ATR-CHEK1 network for prognostication, prediction and therapeutic target validation in breast cancer. Molecular Oncology 9(3), pp. 569-585 (2015) http://doi.org/10.1016/j.molonc.2014.10.013
The high quality of the underpinning research is further indicated by the following funding investments in the research and its dissemination:
G1. Charitable funding for the van Geest Cancer Research Centre. Led by Prof Robert Rees. Funding for algorithm development, data generation, computational costs. 2008 to 2019
G2. Innovate UK. Translation of Bovine Tuberculosis biomarkers to the point of care setting. 101555. Led by Prof Graham Ball as CompanDX Ltd. Total value £980k. Validation and deployment of markers derived from machine learning. Jan 2015 to Jan 2017
G3. Technology Strategy Board Sepsis II Project ANEMONES TSB ref 101191 (reference 15841-108156) Validation of prognostic biomarkers for Sepsis. Led by Karen Kempsall, Health Protection Agency. Total value £1.2M. Development of algorithms for the analysis of molecular data for discovery of biomarkers. July 2012 to Jan 2014
G4. European Union Sixth Framework funded Network of Excellence (Contract number IST-2002-1 508803) BIOPATTERN – Computational intelligence for biopattern analysis in support of eHealthcare. Principal investigator – Dr Graham Ball. Coordinator Prof Emmanuel Ifeachior – School of Computing, Communications and Electronics, University of Plymouth. Total Value €6.2M (Grant value for NTU component €196k/£151k) Jan 2005 to Jan 2008.
G5. NIHR evaluation of the SPAG5 biomarker in the clinical setting. NIHR Co-I Total value £890k II-LA-0417-20004. Deployment of Machine learning derived biomarkers for proliferation.
G6. Breast cancer campaign (Contract Reference 2005nov08) - Transcriptional/Translational Analysis of Breast Cancer Providing A Modern Clinical Classification System. Total Value £174,501 (Grant value for NTU component £18,000). Jan 2006 to Jan 2009
G7. I-Net Nottingham Prognostic Index+ Lead by Prof Ian Ellis, University of Nottingham. Total Value £100,429. Regional funding leading to DPFS grant, below. 2008
G8. MRC DPFS award (DPFSDP003) Nottingham Prognostic Index Plus (NPI+) Lead by Prof Ian Ellis, University of Nottingham. Total Value £767,375. Development of a molecular prognostic index for breast cancer and development of machine learning methods for analysis of molecular data. Aug 2009 to March 2012.
4. Details of the impact
Impacts on commerce and the economy: NTU’s spin-out company Intelligent OMICS Ltd. has commercialised NTU IP and has generated significant revenue and finance investment.**
Successful business Intelligent OMICS Ltd has been built through the commercial exploitation of the ANN methods and ANNi machine learning algorithms developed at NTU for in silico biomarker and drug target discovery. The company was rebranded as Intelligent OMICS Ltd in 2019 (see Section 2) to better reflect the key technological breakthrough that its Intuitive Informed Intelligence (I3) machine learning platform, built around the NTU research, could now process 50 million models to a given dataset per hour. This innovation has shortened analysis, that would have previously taken six to seven months, down to two to three weeks. The IP assigned to Intelligent OMICS from NTU includes the patent “Data analysis method and system” (US8788444 B2, and equivalents) covering Ball’s machine learning methodologies. The company has attracted £148,000 from Innovate UK (total grant £873,000, grant reference 101555, Nov 2013 to Jan 2017). Over the current REF2021 impact period, the company “ has generated over £230,000 of revenue from third parties – pharma and biotech companies, and UK healthcare-related institutions” ( S1), created 4 jobs, and the company has “ financed and completed over £5,070,000 of research and clinical trials in China” ( S1). This latter figure, of which £2m pro-rata has been invested during the period 1 August 2013 to 31 July 2020 (latest information available within REF2021), includes investment over 5 years from Hubei provincial government, China.
Impacts on commerce and the economy: NTU and Intelligent OMICS’ research has stimulated foreign direct investment of £4.5m from United States DTRA for UK Dstl-led consortia.**
Defence Science and Technology Laboratory (Dstl, an executive agency, sponsored by the UK Ministry of Defence), its military stakeholders, and NTU/Intelligent OMICS Ltd. have received contracts from the US Defence Threat Reduction Agency (DTRA) based on the application of NTU and Intelligent OMICS Ltd. machine learning algorithms. The arising IP is being jointly exploited for a civilian context by Ploughshare Innovations, Dstl’s commercial arm, and Intelligent OMICS. The letter of corroboration from a Senior Principal Statistician in the Cyber and Information Division of Dstl states, “ The research collaboration is focussed on bringing better health care to the military and Prof Graham Ball’s research output is having impact on the defence community through rapid diagnosis of infection, particularly trauma induced sepsis” ( S2), and furthermore, “ *the civilian applications could really assist with the fight against antimicrobial resistance (AMR). The methods that have come from the collaboration have identified previously unseen patterns in gene behaviour in the presence of infection and have helped secure international contracts totalling £4.5m in US funding. Contract references DSTLX 1000896368 AM 2, HDTRA1-14-24-FRCWMD-BAA. A further project PREDICTS HDTRA118-CBA-01-1-0044 is being negotiated (Value £2.1M)*” ( S2).
Impacts on commerce and the economy: commercial adoption of NTU spin-out Intelligent OMICS’ algorithms have provided Cumulus Oncology with a significantly more cost-effective method to target drugs for development, and facilitated their successful £1.7m fund raise.**
Using public and private molecular data Ball through Intelligent OMICS has brought about change in practice and generated commercial income through a pathway-based data mining approach based on Artificial Neural Network Inference ANNi ( R4) algorithmic process that identifies disease/pathway-specific molecular drivers. This approach replaces the expensive and time-consuming drug screening process with the modelling of biological pathways in a disease. These highly influential molecules operating in a pathway make excellent biological targets for drugs. As a result, Intelligent OMICS has entered into a strategic partnership with Cumulus Oncology. Work with Cumulus has provided insights into key pathways of interest to the company around DNA repair (DDR and CHEK1) in lung cancer. This has enabled Cumulus to define further druggable targets of interest and develop biomarker hypotheses for the drug assets under development, facilitating a recent investment into Cumulus from Private Investors and Scottish Enterprise. A key requirement of this investment was the incorporation of AI methods into the drug discovery process. The CEO of Cumulus Oncology stated, “ Through our collaboration with Intelligent OMICS, the application of the AI based methods developed by the company has provided Cumulus with insights into key pathways of interest for current and future assets. In turn, this has facilitated a recent successful fund raise of £1.7m by Cumulus Oncology” ( S3).
Impacts on commerce and the economy: commercial adoption of NTU spin-out Intelligent OMICS’ algorithms within Mologic’s new low cost rapid diagnostic tests.**
The ANN algorithms developed by Ball have been offered as a service to diagnostics companies, where they are used to rapidly discover optimised panels of biomarkers, incorporate the biomarker panel into a diagnostic model and deliver that model as a piece of software for incorporation onto a diagnostic device. The Chief Scientific Officer of Mologic Ltd, which employs 70 people, stated that, “ With the help of the machine learning based techniques of Prof Graham Ball and the spin out company Intelligent OMICS Ltd, our company is now able to identify and develop optimised biomarker panels incorporated into point of care diagnostic devices” ( S4), and furthermore, that “ The methods and diagnostic interpretation principles coming from Professor Ball’s research have greatly improved the efficiency, sensitivity and specificity of the ground-breaking diagnostic tests we are developing” ( S4). In November 2019, Mologic announced it had started a clinical trial (COPE-WEL; 263 patients) to validate its patented, urine-based, multi-biomarker self-test Headstart® for the early detection of exacerbations in patients living with moderate to severe Chronic Obstructive Pulmonary Disease (COPD) ( S4, S5). Clinical decisions are being made within the COPE-WEL trial based on the early detection of COPD exacerbation, benefiting patients by providing timely and appropriate interventions. The test can predict the early onset of a COPD exacerbation up to six days before symptom onset, or up to nine days before clinical diagnosis by a healthcare provider. It “ depends on an associated algorithm developed by Professor Ball” ( S4). Following proven success from the validation trials, this urine test will be available for launch in 2021. Another complex biomarker test “ made simple by Prof Ball’s technology” ( S4) has been developed for sepsis, and in September 2019 Mologic announced it had finished recruiting 550 people to a clinical trial being carried out at University College London Hospitals ( S6). Clinical decisions separating bacterial infections from inflammatory responses where there is no bacterial cause have help managed the way patients are treated leading to patient benefit.
Impact on human health: trial of a new clinical test for latent tuberculosis in collaboration between NTU spin-out Intelligent OMICS and Wuhan Pulmonary Hospital (China), successfully detected latent cases of the disease enabling patients to be treated, and led to phase 2A trials which have been completed.**
Ball, through Intelligent OMICS Ltd., has developed and applied algorithms to generate a panel of diagnostic biomarkers which identify the presence of Latent Tuberculosis in otherwise healthy individuals. These inventive methods were developed by Ball and patent protected (GB201211158A, priority date 22 June 2012, equivalents EP2864499 B1, US2015197806 A1, WO2013190321 A1, “Biomarkers for determining the M. tuberculosis infection status”, Inventor G.R. Ball). In 2017 Intelligent OMICS Ltd. embarked on clinical evaluation trials in collaboration with Wuhan Pulmonary Hospital (WPH) in Hubei Province, China to exploit the predictive capability of Ball’s patented technology ( S7). Initial investment to run the trial was received from the Hubei provincial government, followed within the current REF period by a further 3551 Foreign talent programme grant of £112k (¥1.0m) from Wuhan City and Wuhan Biolake development fund ( S8), plus additional match funding investment from Wuhan Pulmonary Hospital. This project received the backing of Wuhan’s Vice Mayor and the province Consul, who were present at a contract signing ceremony ( S9). The phase 1 trial revealed 6 asymptomatic cases of Latent Tuberculosis, and the phase 2A revealed 50 latent cases, via simple blood test, enabling these patients to receive early treatment. The results of the completed phase 2A Clinical trial are currently being decoded. Wuhan City £224k (¥2.0m) funding is already in place to commence a Phase 2B trial that will examine 250 patients.
5. Sources to corroborate the impact
(*** participant in the process of impact delivery )
S1*. Testimonial letter: Chief Executive Officer, Intelligent OMICS Ltd.
S2*. Testimonial letter: Senior Principal Statistician in the Cyber and Information Division, Defence Science Technology Laboratory.
S3*. Testimonial letter: Founder and Chief Executive Officer, Cumulus Oncology Ltd.
S4*. Testimonial letter: Chief Scientific Officer, Mologic Ltd
S5. Web-link: Mologic Ltd. press release on the COPD clinical trial:
S6. Web-link: Mologic Ltd. press release on the sepsis clinical trial:
S7*. Confidential document: Collaboration agreement with Wuhan Pulmonary Hospital and CompanDX Ltd (now Intelligent OMICS Ltd).
S8. Confidential document: Wuhan East Lake High-tech District, funding for “Diagnostic techniques of Tuberculosis” project, application and receipt for RMB 500k
S9. Confidential document: Contract signing ceremony, Wuhan, China
- Submitting institution
- Nottingham Trent University
- Unit of assessment
- 3 - Allied Health Professions, Dentistry, Nursing and Pharmacy
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
NTU-led research identified immune signposts or “biomarkers” that predict patients with the chemotherapy-refractory form of acute myeloid leukaemia (AML) who might respond to MacroGenics’ immunotherapy drug flotetuzumab. NTU’s research also informed the development of a paediatric arm of the flotetuzumab clinical trial. NTU’s work, hence promoted the positive perception of the drug by investors and biotech equity analysts, and motivated MacroGenics’ $19.5M investment in developing the drug. NTU’s ‘precision medicine’ approach, advice and testing of molecular profiling techniques enabled successful spatially resolved analyses of bone marrow biopsies at unprecedented depth using NanoString’s GeoMx DSP platform. This development, demonstration and showcasing of the product’s capabilities for research in haematological malignancies has been a key factor in NanoString’s market capitalization growth from $242 million to $1.14 billion in 5 years.
2. Underpinning research
Leading an international team and leveraging financial support from research charities ( G1, G2) and commercial entities ( G3, G4, G5), Rutella within the John van Geest Cancer Research Centre (JvGCRC) set out to characterise the ‘immune ecosystem’ of AML and to identify immune gene signatures that are reflective of general immune status and predictive of anti-leukaemia immune potential. The research used 3D biology technologies, including targeted immune transcriptomic profiling and spatially resolved digital immunohistochemistry, to characterise the immune ecosystem of the bone marrow tumour microenvironment (TME) in 42 children and 28 adults with AML. This identified heterogeneous immune profiles and concluded that ‘immune enriched’ AMLs might be amenable to immunotherapy approaches tailored to the bone marrow TME ( R1).
AML is characterized by clonal expansion of poorly differentiated myeloid precursors, resulting in impaired haematopoiesis and often bone marrow failure. According to Cancer Research UK, an average of 3,200 new cases of AML are diagnosed in the UK annually and 2,600 patients die from AML each year. In the United States, the American Cancer Society estimated that 19,940 people were diagnosed with AML in 2020 and 11,180 people died from the disease. The general therapeutic strategy has not changed substantially in more than 30 years, with chemotherapy remaining the standard of care for most patients with AML despite recent drug approvals by the U.S. Food and Drug Administration. AML is cured in only 35 to 40 per cent of patients below 60 years of age and in 5 to 15 per cent of patients above 60 years of age. While chemotherapy resistance is common, relapse is the most common cause of treatment failure, with only 10% of patients surviving 5 years or longer after disease recurrence.
In the first study of its kind into the genetic make-up of bone marrow cells in leukaemia, the research team used machine learning to identify a gene signature that predicts outcomes for patients with AML. Using an artificial neural network-based machine learning approach to analyse a publicly available dataset for 593 adults with AML, they found that a patient may have a better chance of survival, and may not require intensive treatment, if genes coding for CALCRL, CD109 and LSP1 are switched off ( R2). These findings led to the establishment of new sub-categories of risk for which different treatment options should be offered to maximise patient benefit while keeping unwanted toxicity to a minimum, and the early-stage development of a companion diagnostic device to support treatment decision making.
Using innovative RNA/protein expression and digital spatial profiling approaches, researchers led by Rutella carried out high-dimensional analysis of the immunological structure of 442 primary bone marrow samples from patients with AML, unravelling critical differences in immune gene expression across age groups and disease stages. The study also identified those patients that are more likely to fail standard chemotherapy. Crucially, the study found that patients with an interferon (IFN-) dominant TME (the ‘hot’ or ‘inflamed’ AML immune subtype) are more likely to respond to immunotherapy with flotetuzumab (FLZ), a novel CD123×CD3 dual affinity re-targeting molecule currently in a phase I clinical trial ( R3, R4) sponsored by MacroGenics. This study led to MacroGenics filing three patents, with Rutella and NTU named as a co-inventor, relating to bispecific CD123×CD3 diabodies for the treatment of hematologic malignancies ( R5).
The AML research programme as a whole has involved the molecular profiling of an unrivalled cohort of AML samples provided by clinical collaborators (>600 specimens). Rutella used this to generate a compendium of AML gene and protein profiles that provide novel insights into the immunobiology of the disease. These are being made available in the Gene Expression Omnibus, an open-access repository of high throughput transcriptomic data (accession numbers: GSE134589 and GSE146204).
This novel methodological approach extends beyond AML and is informing the development of immunotherapy clinical trials for patients with advanced (metastatic) gastric cancer ( R6).
3. References to the research
The quality of the underpinning research has been evidenced by the following selected rigorously externally peer reviewed outputs and patented inventions, and by their use and exploitation for further research beyond NTU:
R1. Rutella S, Vadakekolathu J, Patel T, Reeder S, Schmitz M, Schaarschmidt H, Warren SE, Liang Y, Hood T, Danaher P, Cesano A, Beechem JM, Pockley AG, Tasian SK, Bornhäuser M. Capturing the complexity of the immune microenvironment of acute myeloid leukemia with 3D biology technology. Journal of Clinical Oncology 2018; 36 (Suppl. 5S; A#50). http://doi.org/10.1200/JCO.2018.36.5\_suppl.50.
R2. Wagner S, Vadakekolathu J, Tasian SK, Altmann H, Bornhäuser M, Pockley AG, Ball GR, Rutella S. A parsimonious 3-gene signature predicts clinical outcomes in an acute myeloid leukemia multicohort study. Blood Advances 2019; 3: 1330-46. https://doi.org/10.1182/bloodadvances.2018030726. PMID: 31015209.
R3. Vadakekolathu J, Minden MD, Hood T, Church SE, Reeder S, Altmann H, Sullivan AH, Viboch EJ, Patel T, Ibrahimova N, Warren SE, Arruda A, Liang Y, Smith TH, Foulds GA, Bailey MD, Gowen-MacDonald J, Muth J, Schmitz M, Cesano A, Pockley AG, Valk PJM, Löwenberg B, Bornhäuser M, Tasian SK, Rettig MP, Davidson-Moncada JK, DiPersio JF, Rutella S. Immune landscapes predict chemotherapy resistance and immunotherapy response in acute myeloid leukemia. Science Translational Medicine 2020; 12(546): eaaz0463. DOI: https://doi.org/10.1126/scitranslmed.aaz0463. PMID: 32493790.
R4. Uy GL, Aldoss I, Foster MC, Sayre PH, Wieduwilt MJ, Advani AS, Godwin JE, Arellano ML, Sweet K, Emadi A, Ravandi F, Erba HP, Byrne M, Michaelis LC, Topp MS, Vey N, Ciceri F, Carrabba MG, Paolini S, Huls G, Jongen-Lavrencic M, Wermke M, Chevallier P, Gyan E, Recher C, Stiff P, Pettit K, Löwenberg B, Church S, Anderson EK, Vadakekolathu J, Santaguida MT, Rettig MP, Muth J, Curtis T, Fehr E, Guo K, Zhao J, Bakkacha O, Jacobs K, Tran K, Kaminker P, Kostova M, Bonvini E, Walter RB, Davidson-Moncada JK, Rutella S, DiPersio JF. Flotetuzumab as salvage immunotherapy for refractory acute myeloid leukemia. Blood 2020 Sep 14: blood.2020007732. DOI: 10.1182/blood.2020007732. PMID: 32929488.
R5. USA Patents Pharmaceutical Formulations of Bispecific CD123 × CD3 Diabodies for the Treatment of Hematologic Malignancies (Attorney Docket No. 1301.0161P; filed on 30 October 2018 and assigned Serial No. 62/752,659); Bispecific CD123 × CD3 Diabodies for the Treatment of Hematologic Malignancies (Attorney Docket No. 1301.0161P2; filed on 19 November 2018 and assigned Serial No. 62/769,078); and Use of Bispecific CD123 × CD3 Diabodies for the Treatment of Hematologic Malignancies (United States Patent Application Serial No. 63/041,051; filed on 20 June 2020).
R6. Rutella S, Church SE, Vadakekolathu J, Reeder S, Sullivan A, Warren S, Baughman J, Muth J, Park H, Uronis H, Kang YK, Ng M, Enzinger P, Lee KW, Huber K, Wynter-Horton A, Li D, Bang YJ, Davidson-Moncada J, Catenacci D. Evaluation of tumor microenvironment identifies immune correlates of response to combination immunotherapy with margetuximab and pembrolizumab in HER2+ gastroesophageal adenocarcinoma. Annals of Oncology 2019; 30 (Suppl. 5; 123A). DOI: https://doi.org/10.1093/annonc/mdz239.034.
The high quality of the underpinning research is further indicated by the following funding investments in the research and its dissemination:
G1. National Priority Research Project (NPRP8-2297-3-494), Qatar National Research Fund (£630,500)
G2. Roger Counter Foundation, Dorset, UK (£116,000)
G3. NanoString Technologies, Seattle, WA, USA (£64,300)
G4. MacroGenics, Rockville, MD, USA (£157,584)
G5. Kura Oncology, San Diego, CA, USA (£120,828)
4. Details of the impact
NTU research has shaped the design of immunotherapy clinical trials for the treatment, and benefit, of adult patients with aggressive AML. Primary refractory AML, a subtype of the disease, is extremely challenging to treat; the current median survival rate is just four months. To date, no specific treatments have been identified for this patient subset and there is a clear, unmet medical need. Working with MacroGenics, a Nasdaq-listed biopharmaceutical company with annual revenues averaging around $100 million, NTU has carried out an international, multi-centre phase I/II clinical trial (NCT02152956) to determine the maximum tolerated dose level of an immunotherapy drug flotetuzumab in patients with AML, whose disease is not expected to benefit from cytotoxic chemotherapy. The trial has also studied how the drug acts in the body and evaluated its potential anti-tumour activity. MacroGenics’ Senior Director of Clinical and Translational Sciences ( S1) said: “ ln my capacity as clinical lead of flotetuzumab development, I can confirm that Sergio’s work has been directly applied to our clinical development pipeline. Specifically, Sergio’s research has led to modifications in patient selection in clinical trial #NCT02152956 enabling us to identify and include individuals with the ‘hot’ or inflamed AML immune subtype who are the most likely (45.5%) to benefit from immunotherapy drug flotetuzumab.” More specifically, he said: “ *These individuals, who have an immune-infiltrated tumor microenvironment, have chemotherapy-refractory AML (primary induction failure, PIF). Hence, the further benefit of identifying and including these individuals in the trial is that they will avoid overtreatment from cytotoxic chemotherapy that is debilitating and from which they are not likely to derive benefit and be shifted instead to immune based therapies with likely improved responses.*”
Reporting its 2018 end-of-year results to investors, MacroGenics highlighted the presentation of clinical trial data and Rutella’s gene signature data at the 2018 American Society of Hematology (ASH) Annual Meeting. Its news release in February 2019 ( S2) said: “ In the study, flotetuzumab demonstrated anti-leukemic activity and acceptable tolerability in patients with relapsed/refractory AML, with a higher response rate observed in primary refractory patients, an extremely challenging population to treat.” Historically, patients who do not respond to chemotherapy have remission rates to subsequent interventions in the range of only 5-12%, with a median overall survival of 3.5 months. As shown by the updated clinical data presented at the 2020 ASH Annual Meeting ( S3), “ a remission rate of 32% with good duration and a manageable safety profile observed in the ongoing registrational study of flotetuzumab is very encouraging”. MacroGenics plans to define a potential registration path for flotetuzumab in patients with primary induction failure and early relapsed AML. In August 2019 MacroGenics submitted a briefing document to the US FDA to seek approval for flotetuzumab under the Biologics Licensure Pathway and to seek guidance on other registrational components. The company’s Senior Director of Clinical and Translational Sciences confirmed the impact of Rutella’s work ( S1, S4): “ Professor Rutella’s seminal work has guided and informed o ur interactions with health regulatory agencies, the Federal Drug Agency of the United States of America. We are currently planning a single-arm, registration-enabling clinical study to evaluate flotetuzumab in up to 200 patients with primary induction failure or early relapse AML. The study will be conducted as a continuation of the ongoing phase I/II study NCT02152956. This is key as it shows a recognition by regulatory agencies of an immune-based classification of AML”.
Rutella’s group has also shown that flotetuzumab modulates the immune TME of individuals who are sensitive to its therapeutic effects by inducing the upregulation of PD-L1, a negative immune checkpoint. This observation has impacted on the development of the next generation of combination immunotherapy clinical trials sponsored by MacroGenics by providing a sound rationale for the administration of flotetuzumab in combination with PD-1-blocking antibodies ( S5). The company confirmed ( S1): “ Sergio’s research identified upregulation of checkpoint inhibitory molecules in a selection of AML patients; this finding helped inform a study of combinatorial immunotherapy in AML, i.e., a new immunotherapy clinical trial that combines flotetuzumab with MGA012, a proprietary anti-PD-1 antibody (clinical protocol #CP-MGD006-03). First patient was dosed on 28 October 2019.” This also supports MacroGenics’ collaboration with US pharmaceutical company Incyte; a licensing agreement announced in October 2017, expected to be worth up to $900 million for MacroGenics, gave Incyte exclusive rights to develop and commercialise MGA012, while allowing MacroGenics to develop its own pipeline candidates (in this case flotetuzumab) in combination with the anti-PD-1 checkpoint inhibitor ( S6).
Development expense for flotetuzumab in 2019 was $15.1 million, which was approximately 8% of total annual research and development expense for MacroGenics, and $4.4 million in the quarter ended March 31, 2020, an increase of 26% compared to the first quarter of 2019 ( S7). MacroGenics’ VP of Investor Relations & Corporate Communications says: “ Professor Rutella’s work has contributed positively to the perception of flotetuzumab by investors and biotech equity analysts who follow MacroGenics […]. Professor Rutella’s oral presentations at major scientific conferences, the recent high-impact scientific publication, and his participation in a key webcast event hosted by MacroGenics for analysts and investors during the American Society of Hematology Meeting in December 2019, have all contributed to a heightened profile for flotetuzumab, as evidenced by inclusion in a number of analysts’ proprietary financial models for the Company”.
NTU research has informed the correlative biology studies for the first in-child trial of flotetuzumab in patients with relapsed/refractory AML
The first-in-child PEPN1812 phase 1 trial studying flotetuzumab in pediatric patients with relapsed/refractory AML opened in January 2020 (NCT04158739, S8). This is sponsored by the US Children's Oncology Group under the auspices of the US Pediatric Early Phase-Clinical Trial Network. According to the clinical trial description, “ Giving flotetuzumab may stop the leukemia from growing or shrink for a period of time, as well as possibly lessening symptoms, such as pain, that are caused by the leukemia” ( S8). The vice-chair of the trial at the Centre for Childhood Cancer Research at the Children’s Hospital of Philadelphia wrote, “PEPN1812 correlative biology studies have benefitted deeply from Sergio’s expertise and demonstrated track record of success in the analogous adult patient studies, including his expertise from the adult phase 1/2 flotetuzumab trial (NCT02152956), and Sergio’s impactful discoveries of novel immune signature predictors” ( S9).
NTU’s protocols have delivered commercial benefits to NanoString Technologies through the expansion of their product portfolio for molecular profiling of haematological tumours
NanoString (Seattle, more than 500 employees), develops and commercialises tools for biological research. Its GeoMx Digital Spatial Profiler (DSP) generates whole tissue images at single cell resolution and digital profiling data for DNA, RNA and proteins, enabling researchers to rapidly assess the biological implications of the heterogeneity within tissue samples. NanoString’s Chief Scientific Officer ( S10) confirms that Rutella’s research has enabled the company to integrate bone marrow profiling into the platform. He said: “Dr. Rutella has served as an alpha tester and trusted advisor in the development of a number of our products, including our GeoMx platform, on which he was among the first users to apply the technology to characterizing bone marrow biopsies, a clinically meaningful yet notoriously difficult sample type to work with. Through the expert guidance of Dr. Rutella, NanoString was able to develop protocols that allow us to successfully profile these samples and enable fundamental research in both hematological malignancies and bone metastases of solid tumors.” He also said: “Dr. Rutella has given multiple seminars and webinars at national meetings and company-sponsored scientific events describing his work and how our technologies enabled it, and these events draw an average attendance of over 300 people. These new contacts are materially important for the company because they represent new users to the platform who will help grow and expand our customer base. […] Dr. Rutella’s impact on NanoString extends far beyond the field of AML. As a key early and enthusiastic adopter of nCounter and GeoMx, he has given investigators across a wide range of disciplines the confidence to incorporate NanoString technologies into their work”.
Rutella’s work with NanoString’s GeoMx DSP platform has benefitted NanoString’s marketing efforts for a platform that costs around £250,000. NanoString’s Chief Scientific Officer also said ( S10): “In the 5 years that we have been working together, the NanoString market capitalization has grown from $242 million to $1.14 billion. I can’t say that it’s all due to the work of Dr. Rutella, but without doubt a big element of our success is our ability to do great science with great collaborations such as him.
5. Sources to corroborate the impact
(* participant in the process of impact delivery)
S1.* Testimonial letter and relevant supporting information: Senior Director of Clinical and Translational Sciences, MacroGenics, Inc. (verifies the impact of Rutella’s work on the stratification, inclusion and monitoring of patients entering clinical trials).
S2. Web-link: MacroGenics Inc: http://ir.macrogenics.com/news-releases/news-release-details/macrogenics-provides-update-corporate-progress-and-2018;
S3. Web-link: MacroGenics Inc: http://ir.macrogenics.com/news-releases/news-release-details/macrogenics-presents-flotetuzumab-data-patients-refractory-acute;
S4. Web-link: MacroGenics Inc: http://ir.macrogenics.com/news-releases/news-release-details/macrogenics-announces-publication-science-translational-medicine
S5. Web-link: MacroGenics Inc: http://ir.macrogenics.com/news-releases/news-release-details/phase-1-expansion-cohort-oral-presentations-flotetuzumab;
S6.Web-link: MacroGenics Inc: https://www.genengnews.com/topics/drug\-discovery/incyte\-to\-develop\-macrogenics\-cancer\-immunotherapy\-mga012\-in\-up\-to\-900m\-collab/
S7.* Testimonial letter: MacroGenics, Inc. (verifies the impact of Rutella’s work on investors and biotech equity analysts).
S8. Web-link: NIH National Library of Medicine, https://clinicaltrials.gov/ct2/show/NCT04158739
S9. Testimonial letter and press release: Children’s Hospital of Philadelphia, Philadelphia, USA; https://www.chop.edu/news/study\-involving\-chop\-researchers\-could\-lead\-more\-precise\-treatment\-acute\-myeloid\-leukemia (verifies Rutella’s work on stratification, inclusion, monitoring of paediatric patients entering the first-in-child immunotherapy clinical trial with flotetuzumab).
S10. Testimonial letter: NanoString Technologies, Inc. (verifies Rutella’s work on their strategic direction/development/delivery of new diagnostic and predictive medicine-based approaches).
- Submitting institution
- Nottingham Trent University
- Unit of assessment
- 3 - Allied Health Professions, Dentistry, Nursing and Pharmacy
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
NTU’s patented research in nanoparticle coating and production,` originally for cancer drug delivery, have been commercialised in ‘nano fertiliser’ plant and crop mineral biofortification products by new NTU spin-out Pharm2Farm Ltd. Pharm2Farm was acquired by Remote Monitored Systems PLC. through a £2.37 million share issue, and has a current market valuation of £40 million. Pharm2Farm’s global sales of biofortification products, direct and via third parties, span the territories of Australia, South Korea, India, Canada, and USA, and have provided increases in turnover for suppliers and retailers and yield and income for farmers.
2. Underpinning research
NTU iron oxide nanoparticle technology was developed originally by Cave in immunology research to allow MRI detection and tracking of exosomes in cancer drug delivery, working alongside colleagues Robert Rees and Selman Ali in the NTU Biomedical Research Unit ( G1) ( R1), and in collaboration with MRI Imaging experts in the NTU Engineering Research Unit. The 13 nm size super paramagnetic iron oxide nano particles were synthesized by adapting standard literature protocols ( R1). Cave’s continuing work in collaboration with MRI Imaging experts in the NTU Engineering Research Unit demonstrated how super paramagnetic iron oxide nano particles could be exploited in a novel localised MRI readable DNA system, replacing the traditional approach of using fluorescent markers ( R2).
Realising the yet greater potential for further innovation in new nano-bio-technology systems, Cave extended the scope of the research into developing new coating and high throughput synthetic methods to scale up nano particle fabrications significantly above research volumes and into extending the techniques to metal compounds beyond iron. Innovations followed that built on the expertise that Cave developed on fabricating the iron oxide nanoparticles for MRI contrast agents that underpinned the above research accomplishments in cancer immunology and in MRI readable DNA systems ( R1, R2).
The first key innovation to result from this research was a patented ( R3) method to coat a range of different varying metal oxide nanoparticles, typically in the size range 2 nm to 100 nm, with organic compounds, by mechanically combining the mineral nanoparticles with an organic biomolecule, via electrostatic interactions, in a dry mixing process. The fields of the work disclosed in the invention encompassed creating bioavailable materials to address trace element deficiency in humans, as well as new methods to increase levels of micronutrients in food crops. The second key innovation to result from this research was a patented ( R4) continuous flow process for producing suspensions of mineral nanoparticles. In the proof-of-concept research Cave demonstrated volume production of high uniformity (size and shape) nanoparticles based on a process whereby liquid materials react on the surface of a spinning disk, with particle size controlled by temperature, concentration and the retention time on the spinning disc. This reactor was capable of producing over one kilogram of nanoparticles per hour compared with one kilogram per day with the commercially available technology at the time, reducing solvent use, and providing a high level of nanoparticle uniformity. The patented reactor design and processing techniques were further optimised with commercial partners to produce over ten kilograms per hour with a reactor footprint of only one square meter.
A confidential clinical trial conducted by NTU researchers and a major pharmaceutical company in 2013 demonstrated the efficacy of the bioavailability concepts ( R3) in humans ( n = 40), demonstrating that NTU’s vitamin C coated iron mineral nanoparticles significantly increased ferritin levels by 21%, with respect to the control, and 3% more compared to traditional iron supplements. In animals, NTU researchers conducted a study in Ross-308 broiler chickens ( n = 384) over 35 days, which demonstrated that supplementing the bird’s diet with nanoparticles of zinc coated with methionine, in place of conventional zinc supplements, resulted in a 5% increase in bird growth ( R5). Cave’s innovative biofortification ideas and techniques ( R2) and ( R3) were applied to commercial livestock production within the joint NTU-Agrimin Innovate UK research translation KTP grant ( G2). This project developed, and demonstrated the efficacy of, boluses with embedded mineral nanoparticles of a range of trace elements to provide slow-release bioavailable copper, cobalt, zinc, manganese and selenium nutrients for cattle and sheep for up to 6 months. An independent trial, commissioned by Agrimin, in a herd of Holstein ( n = 20) cows demonstrated that nanoparticles of copper coated in lysine, improved the bioavailability of the mineral by 50%. In addition, unlike conventional copper supplements, the nanoparticles were not affected by dietary antagonist such as molybdenum and sulphur.
Cave’s crop biofortification concepts were developed, working with NTU colleague and protein purification expert Philip Bonner, in on a BBSRC funded research collaboration with the Agriculture and Horticultural Development Board ( G3). This research led to a novel way to enrich potatoes with iron, zinc, selenium and calcium via their parent mineral nanoparticles, coated with amino acids as a nanoparticle fertiliser formulation. The amino acid coating enables a sustained breakdown and delivery of the mineral to the plant via the root zone, achieved by the transporter-mediated root uptake of amino acid metal chelate formed in situ. This biofortification of staple food crops process offers a far cheaper alternative to vitamin supplements and a tool kit towards fighting hidden hunger. The process was also demonstrated in tomato and chilli plants and then optimised to triple the levels of trace minerals in the crops, reduce harvest time by up to two weeks and typically improve yields by 40%.
3. References to the research
(NTU researchers underlined)
Underpinning research quality has been evidenced by rigorous externally peer reviewed outputs:
R1. “Artificial exosomes as tools for basic and clinical immunology”. De la Pena H, Madrigal JA, Rusakiewicz S, Bencsik M, Cave GWV, Selman A, Rees R, Travers PJ, Dodi IA, Journal of Immunological Methods 2009, 344(2), pp 121-132. doi:10.1016/j.jim.2009.03.011
R2. “Towards MRI microarrays”. Hall A, Mundell VJ, Blanco-Andujar C, Bencsik M, McHale G, Newton MI, Cave GWV, Chemical Comms. 2010, 46(14), pp 2420-2422. doi:10.1039/b925020d
R3. “Coating Metal Oxide Particles”, Cave GWV, Mundell JL, UK Patent GB201204579A, (15 March 2012), equivalents EP2825515A2/US10154628B2/US2015027050A1/WO2013136082A3
R4. “Reactor”, Cave GWV, UK Patent GB201515000A, Priority Date 24 August 2015, equivalents EP3341117A1/US2018280910A1/WO2017033005A1
R5. “Bioavailability of Methionine-Coated Zinc Nanoparticles as a Dietary Supplement Leads to Improved Performance and Bone Strength in Broiler Chicken Production”, Ashraf Alkhtib, Dawn Scholey, Nicholas Carter, Gareth W.V. Cave, Belal I. Hanafy, Siani R.J. Kempster, Subbareddy Mekapothula, Eve T. Roxborough and Emily J. Burton, Animals 2020, 10(9), p1482. doi:10.3390/ani10091482 [Publication delayed until after commentarial licencing embargo]
The quality of the underpinning research has been further evidenced by rigorous externally peer reviewed grants from prestigious funding organisations that have invested in the research:
G1. Anthony Nolan PhD studentship, Dodi A, Rees R, Cave GWV, Selman A, 2005-2008
G2. Innovate UK KTP, Cave GWV and Agrimin Ltd, 2017-2020 (KTP010517, reference 509960)
G3. BBSRC CASE studentship with the Agriculture and Horticultural Development Board Potato Council, Cave GWV, Bonner P and Harper G. 2014-2018 (BB/K012878/1)
4. Details of the impact
Impacts on commerce and the economy: spin-out company Pharm2Farm Ltd. has commercialised NTU’s patented technologies, created jobs, attracted investment, and significant growth led to the company’s £2.37 million acquisition
Pharm2Farm Ltd. was incorporated as an NTU spin-out company in August 2015. It has licenced Gareth Cave’s granted patents ( R3, R4) and is commercialising Cave’s ground-breaking research innovations in nanoparticle biofortification and virucides, including nanoparticle fabrication techniques that reduced the cost of nano particle production from over £1000 per kilogram to [text removed for publication] per kilogram, making volume production possible. Pharm2Farm Ltd. adopted, further developed, and scaled up Cave’s novel coated nanoparticle manufacture techniques ( R3, R4) and brought to market a range of commercial ‘nano plant fertiliser’ plant feed products based on this technology. These plant feed products, which have been sold and supplied globally, include own brands Seasons™ and SpectrumTM, and nanoparticles supplied as active ingredients into third party manufacturers ( S1).
Braveheart Investment Group PLC., a fund management and strategic investment group, acquired a 33% holding in Pharm2Farm Ltd. on 8 July 2019. Braveheart invested a further £200k into Pharm2Farm Ltd. on 2 December 2019, to increase its holding from 33.33% to 51.72% ( S2). Braveheart’s Chief Executive Officer said, “ The interest shown in P2F products and technology since we acquired our original investment has significantly exceeded our expectations” ( S2).
AIM-listed Remote Monitored Systems PLC. acquired Pharm2Farm Ltd. from Braveheart Investment Group and Cave in August 2020 through the issue of 600 million new shares ( S3). The Director of Remote Monitored Systems PLC wrote, “ *Acquisition was satisfied by the issue of 600,000,000 new ordinary shares of 0.01 pence each in RMS, equating to approximately £2,370,000 based on RMS's closing share price on 20 August 2020 (0.38p; £5.4 million market capital)*” , and added, “The market valuation of P2F was based primarily on Dr Cave's knowledge and know-how and the underpinning patented process, licenced from Nottingham Trent University, for producing and functionalising nanoparticles” (S4). The Director of Remote Monitored Systems PLC added that the share price had risen from to 0.38p on 20 August 2020 to 3.00p by the date of their testimonial letter, the close of trading day 15 Jan 2021, and “ This rapid and dramatic increase in the current market valuation of RMS is widely attributed to the step changes that Dr Cave and his team have achieved in implementing their platform nano technology into real work applications” ( S4).
The Director of Innovation, Pharm2Farm Ltd. commented that, “ *the licensing of Dr Cave’s nanoparticle manufacturing scale-up technology from NTU has led to significant investment from both the Braveheart Investment Group plc and new investors, Remote Monitored Systems plc,*” ( S1). This funding facilitated Pharm2Farm’s move into a new 400 m2 commercial clean room manufacturing and distribution facility that employed 10 full time staff, in addition to contracted support staff. In January 2021, the Director of Innovation at Pharm2Farm Ltd. attributes, “ Dr Cave’s research and technology breakthroughs, support, drive and commitment has been instrumental for Pharm2Farm’s rapid expiation from a company valued at £75,000 in August 2019 to a current valuation (31 December 2020) of over £40,000,000” ( S1).
Impacts on commerce and the economy: Pharm2Farm Ltd. created a new a product range, incorporating NTU’s patented technologies, which has achieved global sales, and have provided increases in turnover for suppliers and retailers and yield and income for farmers
The product range created by Pharm2Farm Ltd. includes their home and garden plant foods, Seasons™ “ that incorporates Dr Cave’s advanced nanoparticle plant feed” ( S1), and their hydroponic feeds range, SpectrumTM, “ designed with Dr Cave and incorporate his plant feed nanotechnology” ( S1). Seasons™ is sold throughout the UK, at nurseries, national garden centre chains and at Asda supermarkets and Spectrum™ products are sold in around [text removed for publication] shops in the UK ( S1).
Pharm2Farm Ltd. also supply directly to commercial growers , including supermarket suppliers of tomato, chilli and strawberries, and supply the nanoparticles as active ingredients into third party agrochemical manufacturers with the UK and EU, including [text removed for publication]., [text removed for publication]., [text removed for publication]. and [text removed for publication]. (S1). The Director of Innovation at Parm2Farm Ltd. confirmed that, “ Dr Cave’s technology and the corresponding global license agreement has opened new markets and territories to Pham2farm, examples include South Korea, India, Canada, and USA” ( S1).
ÔpennLabs Europe Ltd., a nanotechnology firm based in the UK and France, has created a new line of plant nutrient and growth stimulant products as a direct result of adapting bespoke nanoparticles supplied by Pharm2Farm, with direct support from Cave. This has allowed the company to “ disrupt existing markets for silicon-based nutrient products and compete in sectors, including North America and Australia” ( S5). It has resulted in a “ 3,500% increase in turnover since 2018 and the creation of three new full-time employment positions” ( S5).
End retailer Liverpool-based hydroponic shop NPK Technology Ltd. took on nanoparticle Iron and Silicon products in 2015 for their business, and reported that “Since then we have sold over 12,500 units of nano particle material to our customers who have had excellent results and are now repeat customers for that product. Financially, the product has helped our business increase its nutrition turnover [text removed for publication] , which we believe having this novel product allowed us to gain more customers for other products as well” ( S6).
South Korean urban basil farmers, Griin Co Ltd., [text removed for publication] utilise nano silica and iron, supplied by Pharm2Farm Ltd. They report that the nanoparticle plant food has increased their average harvest yield [text removed for publication] ( S7).
Srirama Raithu Sangham, a co-operative agricultural organisation in India, have been using nano fertiliser formulations, supplied by Pharm2Farm Ltd. to grow their chilli crops over a land area of over 750 hectares since 2017. This has “… reduced the time for fruit ripening and harvesting time from 155 days to 118 days” with the impact that “ *on average each farmer has secured annual agricultural income of Rs.250000/Hectare (£2500 GBP)*” ( S8)
5. Sources to corroborate the impact
(* participant in the process of impact delivery)
S1.* Testimonial letter: Director of Innovation, Pharm2Farm Ltd.
S2. Web-link: RNS information published in Financial Times online, Company Announcements (12 Dec 2019) https://markets.ft.com/data/announce/detail?dockey=1323-14345380-7R85RN2AR5FF9JERU3AL3M6E6U
S3. Web-link: “Proactive Investors LLC” financial media portal report (24 Aug 2020) https://www.proactiveinvestors.com/companies/news/927329/remote-monitored-systems-inks-deal-to-acquire-pharm2farm-927329.html
S4.* Testimonial letter: Director, Remote Monitored Systems PLC
S5. Testimonial letter: Chief Technology Officer, ÔpennLabs Europe Ltd., UK
S6. Testimonial letter: Owner, NPK Technology Ltd., UK
S7. Testimonial letter: Founder and Chief of Executive Office, Grinn Co Ltd, Korea
S8. Testimonial letter: Chair Person, Srirama Raithu Sangham cooperative, India