Research Focus
My main research interests lie in applying bioinformatics and computational approaches to analyse large-scale cancer datasets to uncover novel diagnostic and prognostic features. I also lead the Cancer Research UK Barts Centre Bioinformatics Core Facility.
Key Publications
The genomic landscape of cutaneous SCC reveals drivers and a novel azathioprine associated mutational signature. Nature Commun (2018) 9(2) 3667. PMID: 30202019
IW-Scoring: an Integrative Weighted Scoring framework for annotating and prioritising genetic variations in the noncoding genome. Nucleic Acids Research (2018) 46(8):e47. PMID: 29390075
Reduced expression of histone methyltransferases KMT2C and KMT2D correlates with improved outcome in pancreatic ductal adenocarcinoma. Cancer Research (2016) 76(16):4861-71. PMID: 27280393
Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma. Nature Genetics (2014) 46(2):176-81. PMID: 24362818
Major Funding
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2019-2022- Barts Charity Large Project Award, Investigation of the immune environment of keratinocyte skin cancer progression with implications for risk prediction and targeted prevention, Co-Investigator, £498,534.52 in total, £166,000 awarded to JW
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2018-2023- Cancer Research UK Accelerator Award, Early detection and intervention: Understanding the mechanisms of transformation and hidden resistance of incurable haematological malignancies, Co-investigator, £1.6M in total, £149,000 to JW
- 2018-2020- Academy of Medical Sciences Springboard Award, Characterisation of functional non-coding mutations in follicular lymphoma, £100,000
Research
My main research interests lie in applying bioinformatics and computational approaches to analyse large-scale cancer datasets to uncover novel diagnostic and prognostic features.
I also lead the BCC Bioinformatics Core Service.
Cancer is a complex genetic disease caused by DNA abnormalities. The significant reduction in sequencing costs has allowed individual researchers to carry out “routine” DNA/RNA sequencing tasks to decipher these genetic aberrations. Given the increasing amount of omics datasets and cancer big-data, the challenges are in how to analyse large-scale datasets and interpret the results accurately and efficiently, and to identify “driver” events and predictive biomarkers in tumour development and progression.
Our research interests include the following:
- Discovery of novel driver events and diagnostic / prognostic signatures in cancer development and progression based on large-scale cancer multi-omics datasets and data integration.
- Identification of clonal evolutionary patterns using sequential and spatial tumour samples.
- Roles of noncoding sequence variants and dysregulated noncoding RNAs in cancer. We have recently developed a novel computational algorithm termed "IW-Scoring" to facilitate the discovery of functional noncoding mutations and variants. We aim to identify noncoding driver events using a combination of ChIP-seq, RNA-seq, WGS and targeted sequencing.
- Investigation of immune and stroma landscape and its application in patient subgrouping and prognostic signatures in cancer.
Major Funding
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2019 - 2022- Barts Charity Large Project Award, Investigation of the immune environment of keratinocyte skin cancer progression with implications for risk prediction and targeted prevention, Co-Investigator, £498,534.52 in total, £166,000 awarded to JW
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2018-2023- Cancer Research UK Accelerator Award, Early detection and intervention: Understanding the mechanisms of transformation and hidden resistance of incurable haematological malignancies, Co-investigator, £1.6M in total, £149,000 to JW
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2018-2021- MRC Doctoral Training Partnership (DTP) Studentship, £83,280
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2018-2020- Academy of Medical Sciences Springboard Award, Characterisation of functional non-coding mutations in follicular lymphoma, £100,000
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2017-2022- Cancer Research UK, Programme Award, Improving outcome for patients with Poor Risk Acute Myeloid Leukaemia, £1.9M in total, Co-investigator
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2017-2020- MRC Doctoral Training Partnership (DTP) Studentship, £83,280
Recent Publications
The complex genetic landscape of familial MDS and AML reveals pathogenic germline variants Rio-Machin A, Vulliamy T, Hug N et al. Nature Communications (2020) 11(7)
Cancer associated fibroblast FAK regulates malignant cell metabolism. Demircioglu F, Wang J, Candido J et al. Nature Communications (2020) 11(1) 1290-1290
https://www.ncbi.nlm.nih.gov/pubmed/32157087
A virus-infected, reprogrammed somatic cell–derived tumor cell (VIREST) vaccination regime can prevent initiation and progression of pancreatic cancer Lu S, Zhang Z, Du P et al. Clinical Cancer Research (2020) 26(7) 465-476
Repurposing an anti-cancer agent for the treatment of hypertrophic heart disease Dukinfield M, Maniati E, Reynolds LE et al. Journal of Pathology (2019) 249(7) 523-535
MLH1 deficiency leads to deregulated mitochondrial metabolism Martin S Cell Death and Disease (2019) 10(1) 795-795
Epigenetic Regulation of iASPP-p63 Feedback Loop in Cutaneous Squamous Cell Carcinoma Robinson DJ, Patel A, Purdie KJ et al. Journal of Investigative Dermatology (2019) 139(7) 1658-1671.e8
A unique panel of patient-derived cutaneous squamous cell carcinoma cell lines provides a preclinical pathway for therapeutic testing Hassan S, Purdie KJ, Wang J et al. International Journal of Molecular Sciences (2019) 20(7)
Correction: Genomic profiling reveals spatial intra-tumor heterogeneity in follicular lymphoma (Leukemia, (2018), 32, 5, (1261-1265), 10.1038/s41375-018-0043-y) Araf S, Wang J, Korfi K et al. Leukemia (2019) 33(7) 1540
Transmission of diffuse large B-cell lymphoma by an allogeneic stem-cell transplant. Araf S, Wang J, Ashton-Key M et al. Haematologica (2019) 104(1) e174-e177
https://www.ncbi.nlm.nih.gov/pubmed/29976740
Applications and analysis of targeted genomic sequencing in cancer studies Bewicke-Copley F, Arjun Kumar E, Palladino G et al. Computational and Structural Biotechnology Journal (2019) 17(7) 1348-1359
For additional publications, please click hereTeam
Postdoctoral Researchers
Dr Eleni Maniati, Dr Findlay Copley, Dr Faraz Khan
Bioinformatician
Mr Firat Uyulur
PhD Students
Ms Minal Patel, Ms Sheila Barasa, Connor Knight
Biography
- 2016- : Lecturer in Bioinformatics / Computational Biology, BCI, QMUL.
- 2010-2016: Postdoctoral Fellow in Bioinformatics and Cancer Genomics, Barts Cancer Institute (BCI), QMUL.
- 2008-2010: Postdoctoral Fellow in Bioinformatics, Department of Plant Science, Rothamsted Research.
- 2004-2008: PhD in Evolutionary Biology, Institute of Evolutionary Biology, University of Edinburgh - Dorothy Hodgkin Postgraduate Award.
- 2003-2004: MSc in Quantitative Genetics and Genome Analysis, Institute of Cell, Animal and Population Biology, University of Edinburgh.
- 1999-2003: BEng in Biological Engineering, College of Life Sciences & Biotechnology, Shanghai Jiao Tong University.