Sir Peter MacCallum Department of Oncology - Research Publications

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    MDM4 is a rational target for treating breast cancers with mutant p53
    Miranda, PJ ; Buckley, D ; Raghu, D ; Pang, J-MB ; Takano, EA ; Vijayakumaran, R ; Teunisse, AFAS ; Posner, A ; Procter, T ; Herold, MJ ; Gamell, C ; Marine, J-C ; Fox, SB ; Jochemsen, A ; Haupt, S ; Haupt, Y (WILEY, 2017-04)
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    A quantitative model to predict pathogenicity of missense variants in the TP53 gene
    Fortuno, C ; Cipponi, A ; Ballinger, ML ; Tavtigian, S ; Olivier, M ; Ruparel, V ; Haupt, Y ; Haupt, S ; Tucker, K ; Spurdle, AB ; Thomas, DM ; James, PA (WILEY, 2019-06)
    Germline pathogenic variants in the TP53 gene cause Li-Fraumeni syndrome, a condition that predisposes individuals to a wide range of cancer types. Identification of individuals carrying a TP53 pathogenic variant is linked to clinical management decisions, such as the avoidance of radiotherapy and use of high-intensity screening programs. The aim of this study was to develop an evidence-based quantitative model that integrates independent in silico data (Align-GVGD and BayesDel) and somatic to germline ratio (SGR), to assign pathogenicity to every possible missense variant in the TP53 gene. To do this, a likelihood ratio for pathogenicity (LR) was derived from each component calibrated using reference sets of assumed pathogenic and benign missense variants. A posterior probability of pathogenicity was generated by combining LRs, and algorithm outputs were validated using different approaches. A total of 730 TP53 missense variants could be assigned to a clinically interpretable class. The outputs of the model correlated well with existing clinical information, functional data, and ClinVar classifications. In conclusion, these quantitative outputs provide the basis for individualized assessment of cancer risk useful for clinical interpretation. In addition, we propose the value of the novel SGR approach for use within the ACMG/AMP guidelines for variant classification.
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    An analysis of a multiple biomarker panel to better predict prostate cancer metastasis after radical prostatectomy
    Zhang, AY ; Chiam, K ; Haupt, Y ; Fox, S ; Birch, S ; Tilley, W ; Butler, LM ; Knudsen, K ; Comstock, C ; Rasiah, K ; Grogan, J ; Mahon, KL ; Bianco-Miotto, T ; Ricciardelli, C ; Bohm, M ; Henshall, S ; Delprado, W ; Stricker, P ; Horvath, LG ; Kench, JG (WILEY, 2019-03-01)
    A plethora of individual candidate biomarkers for predicting biochemical relapse in localized prostate cancer (PCa) have been proposed. Combined biomarkers may improve prognostication, and ensuring validation against more clinically relevant endpoints are required. The Australian PCa Research Centre NSW has contributed to numerous studies of molecular biomarkers associated with biochemical relapse. In the current study, these biomarkers were re-analyzed for biochemical relapse, metastatic relapse and PCa death with extended follow-up. Biomarkers of significance were then used to develop a combined prognostic model for clinical outcomes and validated in a large independent cohort. The discovery cohort (n = 324) was based on 12 biomarkers with a median follow-up of 16 years. Seven biomarkers were significantly associated with biochemical relapse. Three biomarkers were associated with metastases: AZGP1, Ki67 and PML. Only AZGP1 was associated with PCa death. In their individual and combinational forms, AZGP1 and Ki67 as a dual BM signature was the most robust predictor of metastatic relapse (AUC 0.762). The AZPG1 and Ki67 signature was validated in an independent cohort of 347 PCa patients. The dual BM signature of AZGP1 and Ki67 predicted metastasis in the univariable (HR 7.2, 95% CI, 1.6-32; p = 0.01) and multivariable analysis (HR 5.4, 95% CI, 1.2-25; p = 0.03). The dual biomarker signature marginally improved risk prediction compared to AZGP1 alone (AUC 0.758 versus 0.738, p < 0.001). Our findings indicate that biochemical relapse is not an adequate surrogate for metastasis or PCa death. The dual biomarker signature of AZGP1 and Ki67 offers a small benefit in predicting metastasis over AZGP1 alone.
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    Exploring the oncoproteomic response of human prostate cancer to therapeutic radiation using data-independent acquisition (DIA) mass spectrometry
    Keam, SP ; Gulati, T ; Gamell, C ; Caramia, F ; Huang, C ; Schittenhelm, RB ; Kleifeld, O ; Neeson, PJ ; Haupt, Y ; Williams, SG (WILEY, 2018-06-01)
    INTRODUCTION: The development of radioresistance in prostate cancer (PCa) is an important clinical issue and is still largely uninformed by personalized molecular characteristics. The aim of this study was to establish a platform that describes the early oncoproteomic response of human prostate tissue to radiation therapy (RT) using a prospective human tissue cohort. METHODS: Fresh and fixed transperineal biopsies from eight men with clinically localized tumors were taken prior to and 14 days following a single fraction of high-dose-rate brachytherapy. Quantitative protein analysis was achieved using an optimized protein extraction pipeline and subsequent data-independent acquisition mass spectroscopy (DIA-MS). Ontology analyses were used to identify enriched functional pathways, with the candidates further interrogated in formalin-fixed paraffin-embedded tissue biopsies from five additional patients. RESULTS: We obtained a mean coverage of 5660 proteins from fresh tissue biopsies; with the principal post-radiation change observed being an increase in levels amongst a total of 49 proteins exhibiting abundance changes. Many of these changes in abundance varied between patients and, typically to prostate cancer tissue, exhibited a high level of heterogeneity. Ontological analysis revealed the enrichment of the protein activation cascades of three immunological pathways: humoral immune response, leukocyte mediated immunity and complement activation. These were predominantly associated with the extracellular space. We validated significant expression differences in between 20% and 61% of these candidates using the separate fixed-tissue cohort and established their feasibility as an experimental tissue resource by acquiring quantitative data for a mean of 5152 proteins per patient. DISCUSSION: In this prospective study, we have established a sensitive and reliable oncoproteomic pipeline for the analysis of both fresh and formalin-fixed human PCa tissue. We identified multiple pathways known to be radiation-responsive and have established a powerful database of candidates and pathways with no current association with RT. This information may be beneficial in the advancement of personalized therapies and potentially, predictive biomarkers.
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    P53 at the start of the 21st century: lessons from elephants.
    Haupt, S ; Haupt, Y (F1000 Research Ltd, 2017)
    Crucial, natural protection against tumour onset in humans is orchestrated by the dynamic protein p53. The best-characterised functions of p53 relate to its cellular stress responses. In this review, we explore emerging insights into p53 activities and their functional consequences. We compare p53 in humans and elephants, in search of salient features of cancer protection.
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    E6AP promotes prostate cancer by reducing p27 expression
    Raghu, D ; Paul, PJ ; Gulati, T ; Deb, S ; Khoo, C ; Russo, A ; Gallo, E ; Blandino, G ; Chan, A-L ; Takano, E ; Sandhu, SK ; Fox, SB ; Williams, S ; Haupt, S ; Gamell, C ; Haupt, Y (IMPACT JOURNALS LLC, 2017-06-27)
    Prostate cancer (PC) is the most common cancer in men. Elevated levels of E3 ligase, E6-Associated Protein (E6AP) were previously linked to PC, consistent with increased protein expression in a subset of PC patients. In cancers, irregular E3 ligase activity drives proteasomal degradation of tumor suppressor proteins. Accordingly, E3 ligase inhibitors define a rational therapy to restore tumor suppression. The relevant tumor suppressors targeted by E6AP in PC are yet to be fully identified. In this study we show that p27, a key cell cycle regulator, is a target of E6AP in PC. Down regulation of E6AP increases p27 expression and enhances its nuclear accumulation in PC. We demonstrate that E6AP regulates p27 expression by inhibiting its transcription in an E2F1-dependent manner. Concomitant knockdown of E6AP and p27 partially restores PC cell growth, supporting the contribution of p27 to the overall effect of E6AP on prostate tumorigenesis. Overall, we unravelled the E6AP-p27 axis as a new promoter of PC, exposing an attractive target for therapy through the restoration of tumor suppression.
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    Inhibiting the system x(C)over-bar/glutathione axis selectively targets cancers with mutant-p53 accumulation
    Liu, DS ; Duong, CP ; Haupt, S ; Montgomery, KG ; House, CM ; Azar, WJ ; Pearson, HB ; Fisher, OM ; Read, M ; Guerra, GR ; Haupt, Y ; Cullinane, C ; Wiman, KG ; Abrahmsen, L ; Phillips, WA ; Clemons, NJ (NATURE PUBLISHING GROUP, 2017-03-28)
    TP53, a critical tumour suppressor gene, is mutated in over half of all cancers resulting in mutant-p53 protein accumulation and poor patient survival. Therapeutic strategies to target mutant-p53 cancers are urgently needed. We show that accumulated mutant-p53 protein suppresses the expression of SLC7A11, a component of the cystine/glutamate antiporter, system xC-, through binding to the master antioxidant transcription factor NRF2. This diminishes glutathione synthesis, rendering mutant-p53 tumours susceptible to oxidative damage. System xC- inhibitors specifically exploit this vulnerability to preferentially kill cancer cells with stabilized mutant-p53 protein. Moreover, we demonstrate that SLC7A11 expression is a novel and robust predictive biomarker for APR-246, a first-in-class mutant-p53 reactivator that also binds and depletes glutathione in tumours, triggering lipid peroxidative cell death. Importantly, system xC- antagonism strongly synergizes with APR-246 to induce apoptosis in mutant-p53 tumours. We propose a new paradigm for targeting cancers that accumulate mutant-p53 protein by inhibiting the SLC7A11-glutathione axis.
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    The role of MDM2 and MDM4 in breast cancer development and prevention
    Haupt, S ; Vijayakumaran, R ; Miranda, PJ ; Burgess, A ; Lim, E ; Haupt, Y (OXFORD UNIV PRESS, 2017-02)
    The major cause of death from breast cancer is not the primary tumour, but relapsing, drug-resistant, metastatic disease. Identifying factors that contribute to aggressive cancer offers important leads for therapy. Inherent defence against carcinogens depends on the individual molecular make-up of each person. Important molecular determinants of these responses are under the control of the mouse double minute (MDM) family: comprised of the proteins MDM2 and MDM4. In normal, healthy adult cells, the MDM family functions to critically regulate measured, cellular responses to stress and subsequent recovery. Proper function of the MDM family is vital for normal breast development, but also for preserving genomic fidelity. The MDM family members are best characterized for their negative regulation of the major tumour suppressor p53 to modulate stress responses. Their impact on other cellular regulators is emerging. Inappropriately elevated protein levels of the MDM family are highly associated with an increased risk of cancer incidence. Exploration of the MDM family members as cancer therapeutic targets is relevant for designing tailored anti-cancer treatments, but successful approaches must strategically consider the impact on both the target cancer and adjacent healthy cells and tissues. This review focuses on recent findings pertaining to the role of the MDM family in normal and malignant breast cells.
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    New insights on the regulation of INK4/ARF locus expression
    Gamell, C ; Ginsberg, D ; Haupt, S ; Haupt, Y (IMPACT JOURNALS LLC, 2017-12-05)
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    Identification of cancer sex-disparity in the functional integrity of p53 and its X chromosome network
    Haupt, S ; Caramia, F ; Herschtal, A ; Soussi, T ; Lozano, G ; Chen, H ; Liang, H ; Speed, TP ; Haupt, Y (NATURE PUBLISHING GROUP, 2019-11-26)
    The disproportionately high prevalence of male cancer is poorly understood. We tested for sex-disparity in the functional integrity of the major tumor suppressor p53 in sporadic cancers. Our bioinformatics analyses expose three novel levels of p53 impact on sex-disparity in 12 non-reproductive cancer types. First, TP53 mutation is more frequent in these cancers among US males than females, with poorest survival correlating with its mutation. Second, numerous X-linked genes are associated with p53, including vital genomic regulators. Males are at unique risk from alterations of their single copies of these genes. High expression of X-linked negative regulators of p53 in wild-type TP53 cancers corresponds with reduced survival. Third, females exhibit an exceptional incidence of non-expressed mutations among p53-associated X-linked genes. Our data indicate that poor survival in males is contributed by high frequencies of TP53 mutations and an inability to shield against deregulated X-linked genes that engage in p53 networks.