Medical Biology - Research Publications

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    A novel immunogenic mouse model of melanoma for the preclinical assessment of combination targeted and immune-based therapy
    Lelliott, EJ ; Cullinane, C ; Martin, CA ; Walker, R ; Ramsbottom, KM ; Souza-Fonseca-Guimaraes, F ; Abuhammad, S ; Michie, J ; Kirby, L ; Young, RJ ; Slater, A ; Lau, P ; Meeth, K ; Oliaro, J ; Haynes, N ; McArthur, GA ; Sheppard, KE (NATURE PUBLISHING GROUP, 2019-02-04)
    Both targeted therapy and immunotherapy have been used successfully to treat melanoma, but the development of resistance and poor response rates to the individual therapies has limited their success. Designing rational combinations of targeted therapy and immunotherapy may overcome these obstacles, but requires assessment in preclinical models with the capacity to respond to both therapeutic classes. Herein, we describe the development and characterization of a novel, immunogenic variant of the BrafV600ECdkn2a-/-Pten-/- YUMM1.1 tumor model that expresses the immunogen, ovalbumin (YOVAL1.1). We demonstrate that, unlike parental tumors, YOVAL1.1 tumors are immunogenic in vivo and can be controlled by immunotherapy. Importantly, YOVAL1.1 tumors are sensitive to targeted inhibitors of BRAFV600E and MEK, responding in a manner consistent with human BRAFV600E melanoma. The YOVAL1.1 melanoma model is transplantable, immunogenic and sensitive to clinical therapies, making it a valuable platform to guide strategic development of combined targeted therapy and immunotherapy approaches in BRAFV600E melanoma.
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    Regulation of PRMT5-MDM4 axis is critical in the response to CDK4/6 inhibitors in melanoma
    AbuHammad, S ; Cullinane, C ; Martin, C ; Bacolas, Z ; Ward, T ; Chen, H ; Slater, A ; Ardley, K ; Kirby, L ; Chan, KT ; Brajanovski, N ; Smith, LK ; Rao, AD ; Lelliott, EJ ; Kleinschmidt, M ; Vergara, IA ; Papenfuss, AT ; Lau, P ; Ghosh, P ; Haupt, S ; Haupt, Y ; Sanij, E ; Poortinga, G ; Pearson, RB ; Falk, H ; Curtis, DJ ; Stupple, P ; Devlin, M ; Street, I ; Davies, MA ; McArthur, GA ; Sheppard, KE (NATL ACAD SCIENCES, 2019-09-03)
    Cyclin-dependent kinase 4/6 (CDK4/6) inhibitors are an established treatment in estrogen receptor-positive breast cancer and are currently in clinical development in melanoma, a tumor that exhibits high rates of CDK4 activation. We analyzed melanoma cells with acquired resistance to the CDK4/6 inhibitor palbociclib and demonstrate that the activity of PRMT5, a protein arginine methyltransferase and indirect target of CDK4, is essential for CDK4/6 inhibitor sensitivity. By indirectly suppressing PRMT5 activity, palbociclib alters the pre-mRNA splicing of MDM4, a negative regulator of p53, leading to decreased MDM4 protein expression and subsequent p53 activation. In turn, p53 induces p21, leading to inhibition of CDK2, the main kinase substituting for CDK4/6 and a key driver of resistance to palbociclib. Loss of the ability of palbociclib to regulate the PRMT5-MDM4 axis leads to resistance. Importantly, combining palbociclib with the PRMT5 inhibitor GSK3326595 enhances the efficacy of palbociclib in treating naive and resistant models and also delays the emergence of resistance. Our studies have uncovered a mechanism of action of CDK4/6 inhibitors in regulating the MDM4 oncogene and the tumor suppressor, p53. Furthermore, we have established that palbociclib inhibition of the PRMT5-MDM4 axis is essential for robust melanoma cell sensitivity and provide preclinical evidence that coinhibition of CDK4/6 and PRMT5 is an effective and well-tolerated therapeutic strategy. Overall, our data provide a strong rationale for further investigation of novel combinations of CDK4/6 and PRMT5 inhibitors, not only in melanoma but other tumor types, including breast, pancreatic, and esophageal carcinoma.
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    Bioinformatics Pipelines for Targeted Resequencing and Whole-Exome Sequencing of Human and Mouse Genomes: A Virtual Appliance Approach for Instant Deployment
    Li, J ; Doyle, MA ; Saeed, I ; Wong, SQ ; Mar, V ; Goode, DL ; Caramia, F ; Doig, K ; Ryland, GL ; Thompson, ER ; Hunter, SM ; Halgamuge, SK ; Ellul, J ; Dobrovic, A ; Campbell, IG ; Papenfuss, AT ; McArthur, GA ; Tothill, RW ; Calogero, RA (PUBLIC LIBRARY SCIENCE, 2014-04-21)
    Targeted resequencing by massively parallel sequencing has become an effective and affordable way to survey small to large portions of the genome for genetic variation. Despite the rapid development in open source software for analysis of such data, the practical implementation of these tools through construction of sequencing analysis pipelines still remains a challenging and laborious activity, and a major hurdle for many small research and clinical laboratories. We developed TREVA (Targeted REsequencing Virtual Appliance), making pre-built pipelines immediately available as a virtual appliance. Based on virtual machine technologies, TREVA is a solution for rapid and efficient deployment of complex bioinformatics pipelines to laboratories of all sizes, enabling reproducible results. The analyses that are supported in TREVA include: somatic and germline single-nucleotide and insertion/deletion variant calling, copy number analysis, and cohort-based analyses such as pathway and significantly mutated genes analyses. TREVA is flexible and easy to use, and can be customised by Linux-based extensions if required. TREVA can also be deployed on the cloud (cloud computing), enabling instant access without investment overheads for additional hardware. TREVA is available at http://bioinformatics.petermac.org/treva/.
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    Clustered somatic mutations are frequent in transcription factor binding motifs within proximal promoter regions in melanoma and other cutaneous malignancies
    Colebatch, AJ ; Di Stefano, L ; Wong, SQ ; Hannan, RD ; Waring, PM ; Dobrovic, A ; McArthur, GA ; Papenfuss, AT (IMPACT JOURNALS LLC, 2016-10-11)
    Most cancer DNA sequencing studies have prioritized recurrent non-synonymous coding mutations in order to identify novel cancer-related mutations. Although attention is increasingly being paid to mutations in non-coding regions, standard approaches to identifying significant mutations may not be appropriate and there has been limited analysis of mutational clusters in functionally annotated non-coding regions. We sought to identify clustered somatic mutations (hotspot regions across samples) in functionally annotated regions in melanoma and other cutaneous malignancies (cutaneous squamous cell carcinoma, basal cell carcinoma and Merkel cell carcinoma). Sliding window analyses revealed numerous recurrent clustered hotspot mutations in proximal promoters, with some specific clusters present in up to 25% of cases. Mutations in melanoma were clustered within ETS and Sp1 transcription factor binding motifs, had a UV signature and were identified in other cutaneous malignancies. Clinicopathologic correlation and mutation analysis support a causal role for chronic UV irradiation generating somatic mutations in transcription factor binding motifs of proximal promoters.