Dr Jun Wang

Dr Jun Wang

Centre: Centre for Molecular Oncology
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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 Barts CRUK Centre Bioinformatics Core Facility.

Research Details

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.


  • 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.


2018-2021 MRC DTP-funded studentship  
2018 BCC Development Fund  
2018-2020 Academy of Medical Sciences Springboard Award £100,000
2017-2020 MRC Doctoral Training Partnership (DTP) Studentship  

Key Publications

Inman GJ*, Wang J*, Nagano A*, Alexandrov LB, Purdie KJ, Taylor RG, Sherwood V, Thomson J, Hogan S, Spender LC, South AP, Stratton M, Chelala C, Harwood CA*, Proby CM*, Leigh IM*. The genomic landscape of cutaneous SCC reveals drivers and a novel azathioprine associated mutational signature. Nature Commun (2018) 10;9(1):3667. (* equal contributors). PMID: 30202019

Jun Wang, Abu Z. Dayem Ullah and Claude Chelala. IW-Scoring: an Integrative Weighted Scoring framework for annotating and prioritising genetic variations in the noncoding genome. (2018) Nucleic Acids Research 46(8):e47. PMID: 29390075

Dawkins J*, Wang J*, Maniati E, Heward J, Koniali L, Martin SA, Kocher H, Chelala C, Balkwill F, Fitzgibbon J, Grose R. Reduced expression of histone methyltransferases KMT2C and KMT2D correlates with improved outcome in pancreatic ductal adenocarcinoma. (2016) Cancer Research. 76(16):4861-71 (* equal contributors). PMID: 27280393

Okosun J*, Bödör C*, Wang J*, Araf S, Yang CY, Pan C, Boller S, Cittaro D, Bozek M, Iqbal S, Matthews J, Wrench D, Marzec J, Tawana K, Popov N, O'Riain C, O'Shea D, Carlotti E, Davies A, Lawrie CH, Matolcsy A, Calaminici M, Norton A, Byers RJ, Mein C, Stupka E, Lister TA, Lenz G, Montoto S, Gribben JG, Fan Y, Grosschedl R, Chelala C and Fitzgibbon J. Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma. (2014) Nature Genetics.46(2):176-81. (* equal contributors). PMID: 24362818

Further Publications

For additional publications, please click here.

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 Barts CRUK Centre Bioinformatics Core Facility.


  • September 2018: collaborative work on “the genomic landscape of cutaneous SCC” and the discovery of “mutational signature 32” published in Nature Communications – joint lead, collaboration with University of Dundee, Blizard Institute and Wellcome Trust Sanger Institute.
  • May 2018: collaborative work on “microRNA and transcriptome analysis in periocular Sebaceous Gland Carcinoma” published in Nature Scientific Reports - collaboration with Blizard Institute, UCL Institute of Ophthalmology and Moorfelds Eye Hospital.
  • February 2018: collaborative work on spatial intra-tumor heterogeneity in follicular lymphoma published in Leukemia - collaboration with Dr Jessica Okosun and Prof. Jude Fitzgibbon.
  • February 2018: Nucleic Acids Research published our integrative algorithm of scoring and prioritising functional noncoding variants and mutations in the human genome. 
  • February 2018: Awarded the Academy of Medical Sciences Springboard Grant to study functional non-coding mutations in follicular lymphoma.
  • December 2017: collaborative work on “Deconstruction of a Metastatic Tumor Microenvironment” and the concept of “matrix index” published in Cancer Discovery - collaboration with Prof. Fran Balkwill
  • June 2017: our study on alternative splicing in pancreatic ductal adenocarcinoma published in Nature Scientific Reports – with Dr Tatjana Crnogorac-Jurcevic and Prof. Claude Chelala
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