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Dr Helen Kalirai, custodian OOB
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Dr Sam Barlow, Molecular Analyst
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The OOB operates under HTA Licence 12020 and HRA REC 21/NW/0139
The Biobank is closely associated with the Liverpool Ocular Oncology Centre, one of only three specialist centres for patients with eye cancer in England. This ensures that patients with rare conditions such as ocular tumours are given the highest possible standard of care by an experienced specialist team.
Samples are used for research studies, which contribute to increasing the knowledge and understanding of eye cancer in order to improve treatment, and ultimately patient care. To date the OOB has supported 15 internal and external research studies. Publications arising from the use of OOB biosamples and data can be found here.
If you would like more information about the OOB then please contact the biosample custodian:
Dr Helen Kalirai
Liverpool Ocular Oncology Research Group
Eye and Vision Sciences
University of Liverpool
Tel: 0151 794 9117
[email protected]
Research Supported by OOB Materials
The following internal and external research studies have used biosamples and associated clinical data from the University of Liverpool Ocular Oncology Biobank (OOB).
Development of cell-based in vitro and in vivo models of uveal melanoma
- Aughton K, et al. Characterization of Uveal Melanoma Cell Lines and Primary Tumor Samples in 3D Culture. Transl Vis Sci Technol. 2020;9(7):39. doi: 10.1167/tvst.9.7.39
Characterisation of primary uveal melanoma immune microenvironment and its influence on outcome
- Figueiredo CR, et al. Loss of BAP1 expression is associated with an immunosuppressive microenvironment in uveal melanoma. J Pathol. 2020;250(4):420–439. doi: 10.1002/path.5384
Identification of biomarkers of metastatic disease in uveal melanoma using proteomic analyses
- Aughton K, et al. Revealing the structural microenvironment of high metastatic risk uveal melanomas following decellularisation. Sci Rep. 2024;14(1):26811. doi: 10.1038/s41598-024-78171-2
Enhancing Prognostication in Uveal Melanoma
- Jones H, et al. Vascular Lakes in Uveal Melanoma and Their Association With Outcome. Transl Vis Sci Technol. 2022;11(3):32. doi: 10.1167/tvst.11.3.32
- Sabat-Pościech D, et al. Aggressive uveal melanoma displays a high degree of centrosome amplification. J Pathol Clin Res. 2022;8(4):383–394. doi: 10.1002/cjp2.272
- Aughton K, et al. Investigating the Role of DUSP4 in Uveal Melanoma. Transl Vis Sci Technol. 2022;11(12):13. doi: 10.1167/tvst.11.12.13
- Robinson H, et al. Sensitivity and Specificity of Prognostic Systems for Metastases in Uveal Melanoma. Cancers. 2023;15(9):2610. doi: 10.3390/cancers15092610
- Zhang H, et al. Deep Learning for Predicting Nuclear BAP1 Expression of Uveal Melanoma from H&E Sections. Transl Vis Sci Technol. 2020;9(2):50. doi: 10.1167/tvst.9.2.50
Molecular characteristics of metastatic liver lesions in uveal melanoma: the search for therapeutic targets
- Krishna Y, et al. Transcriptome Profiling Reveals New Insights into the Immune Microenvironment in Metastatic Uveal Melanoma. Cancers. 2020;12(10):2832. doi: 10.3390/cancers12102832
Cost effectiveness modelling in uveal melanoma using LUMPO
- Rola AC, et al. 10 Years of Liver Surveillance in Uveal Melanoma Patients at LOOC. Cancers. 2022;14(9):2187. doi: 10.3390/cancers14092187
- Eleuteri A, et al. Cost-utility analysis of liver screening using LUMPO. Comput Biol Med. 2021;130:104221. doi: 10.1016/j.compbiomed.2021.104221
- Cunha Rola A, et al. Multicenter External Validation of LUMPO: An OOG Collaborative Study. Cancers. 2020;12(2):477. doi: 10.3390/cancers12020477
Spatial Multi-Omics Profiling in Conjunctival Melanoma and its Precursor Lesions
- Ongoing
Enhancing eye cancer diagnostics via AI applied to clinical images of uveal melanoma
- Jackson M, et al. Differentiating Choroidal Melanomas and Nevi Using a Self-Supervised Deep Learning Model. Ophthalmol Sci. 2024;5(2):100647. doi: 10.1016/j.xops.2024.100647
Proteomics of Metastatic and Non-Metastatic Uveal Melanoma
- Jang GF, et al. Proteomics of Primary Uveal Melanoma: Insights into Metastasis and Protein Biomarkers. Cancers. 2021;13(14):3520. doi: 10.3390/cancers13143520
Clinical and genetic epidemiology of uveal melanoma
- Thomsen H, et al. Genome-wide study finds association to DNA repair gene TDP1 in uveal melanoma. Melanoma Res. 2020;30(2):166–172. doi: 10.1097/CMR.0000000000000634
GWAS identification of risk loci in uveal melanoma
- Ongoing
Spatial mapping of cancer evolution in uveal melanoma
- Ongoing
Metastatic potential of small posterior uveal melanomas
- Stålhammar G, et al. Metastatic potential of small posterior uveal melanomas. Acta Ophthalmol. 2025 Aug 21. doi: 10.1111/aos.70020
Serum biomarkers
- Ongoing
RNAseq and PRAME
- Complete
Validation of a molecular predictive algorithm based on H&E stained whole slide images
- Ongoing
Chromosome 8q in Uveal Melanoma prognosis: interdependent prognostic factor or related to genomic parameters
- Ongoing