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Featured researches published by David K. Chang.


Nature | 2015

Whole genomes redefine the mutational landscape of pancreatic cancer

Nicola Waddell; Marina Pajic; Ann-Marie Patch; David K. Chang; Karin S. Kassahn; Peter Bailey; Amber L. Johns; David Miller; Katia Nones; Kelly Quek; Michael Quinn; Alan Robertson; Muhammad Z.H. Fadlullah; Timothy J. C. Bruxner; Angelika N. Christ; Ivon Harliwong; Senel Idrisoglu; Suzanne Manning; Craig Nourse; Ehsan Nourbakhsh; Shivangi Wani; Peter J. Wilson; Emma Markham; Nicole Cloonan; Matthew J. Anderson; J. Lynn Fink; Oliver Holmes; Stephen Kazakoff; Conrad Leonard; Felicity Newell

Pancreatic cancer remains one of the most lethal of malignancies and a major health burden. We performed whole-genome sequencing and copy number variation (CNV) analysis of 100 pancreatic ductal adenocarcinomas (PDACs). Chromosomal rearrangements leading to gene disruption were prevalent, affecting genes known to be important in pancreatic cancer (TP53, SMAD4, CDKN2A, ARID1A and ROBO2) and new candidate drivers of pancreatic carcinogenesis (KDM6A and PREX2). Patterns of structural variation (variation in chromosomal structure) classified PDACs into 4 subtypes with potential clinical utility: the subtypes were termed stable, locally rearranged, scattered and unstable. A significant proportion harboured focal amplifications, many of which contained druggable oncogenes (ERBB2, MET, FGFR1, CDK6, PIK3R3 and PIK3CA), but at low individual patient prevalence. Genomic instability co-segregated with inactivation of DNA maintenance genes (BRCA1, BRCA2 or PALB2) and a mutational signature of DNA damage repair deficiency. Of 8 patients who received platinum therapy, 4 of 5 individuals with these measures of defective DNA maintenance responded.


Journal of Clinical Oncology | 2009

Margin Clearance and Outcome in Resected Pancreatic Cancer

David K. Chang; Amber L. Johns; Neil D. Merrett; Anthony J. Gill; Emily K. Colvin; Christopher J. Scarlett; Nam Q. Nguyen; Rupert W. Leong; Peter H. Cosman; Mark I. Kelly; Robert L. Sutherland; Susan M. Henshall; James G. Kench; Andrew V. Biankin

PURPOSE Current adjuvant therapies for pancreatic cancer (PC) are inconsistently used and only modestly effective. Because a high proportion of patients who undergo resection for PC likely harbor occult metastatic disease, any adjuvant trials assessing therapies such as radiotherapy directed at locoregional disease are significantly underpowered. Stratification based on the probability (and volume) of residual locoregional disease could play an important role in the design of future clinical trials assessing adjuvant radiotherapy. PATIENTS AND METHODS We assessed the relationships between margin involvement, the proximity to operative resection margins and outcome in a cohort of 365 patients who underwent operative resection for PC. RESULTS Microscopic involvement of a resection margin by tumor was associated with a poor prognosis. Stratifying the minimum clearance of resection margins by 0.5-mm increments demonstrated that although median survival was no different to clear margins based on these definitions, it was not until the resection margin was clear by more than 1.5 mm that optimal long-term survival was achieved. CONCLUSION These data demonstrate that a margin clearance of more than 1.5 mm is important for long-term survival in a subgroup of patients. More aggressive therapeutic approaches that target locoregional disease such as radiotherapy may be beneficial in patients with close surgical margins. Stratification of patients for entry onto future clinical trials based on this criterion may identify those patients who benefit from adjuvant radiotherapy.


Proceedings of the National Academy of Sciences of the United States of America | 2012

Sleeping Beauty mutagenesis reveals cooperating mutations and pathways in pancreatic adenocarcinoma

Karen M. Mann; Jerrold M. Ward; Christopher Chin Kuan Yew; Anne N. Kovochich; David W. Dawson; Michael A. Black; Benjamin T. Brett; Todd Sheetz; Adam J. Dupuy; David K. Chang; Andrew V. Biankin; Nicola Waddell; Karin S. Kassahn; Sean M. Grimmond; Alistair G. Rust; David J. Adams; Nancy A. Jenkins; Neal G. Copeland

Pancreatic cancer is one of the most deadly cancers affecting the Western world. Because the disease is highly metastatic and difficult to diagnosis until late stages, the 5-y survival rate is around 5%. The identification of molecular cancer drivers is critical for furthering our understanding of the disease and development of improved diagnostic tools and therapeutics. We have conducted a mutagenic screen using Sleeping Beauty (SB) in mice to identify new candidate cancer genes in pancreatic cancer. By combining SB with an oncogenic Kras allele, we observed highly metastatic pancreatic adenocarcinomas. Using two independent statistical methods to identify loci commonly mutated by SB in these tumors, we identified 681 loci that comprise 543 candidate cancer genes (CCGs); 75 of these CCGs, including Mll3 and Ptk2, have known mutations in human pancreatic cancer. We identified point mutations in human pancreatic patient samples for another 11 CCGs, including Acvr2a and Map2k4. Importantly, 10% of the CCGs are involved in chromatin remodeling, including Arid4b, Kdm6a, and Nsd3, and all SB tumors have at least one mutated gene involved in this process; 20 CCGs, including Ctnnd1, Fbxo11, and Vgll4, are also significantly associated with poor patient survival. SB mutagenesis provides a rich resource of mutations in potential cancer drivers for cross-comparative analyses with ongoing sequencing efforts in human pancreatic adenocarcinoma.


Proceedings of the National Academy of Sciences of the United States of America | 2012

Inaugural article: Sleeping Beauty mutagenesis reveals cooperating mutations and pathways in pancreatic adenocarcinoma

Karen M. Mann; Jerrold M. Ward; Christopher Chin Kuan Yew; Anne N. Kovochich; David W. Dawson; Black; Benjamin T. Brett; Todd Sheetz; Adam J. Dupuy; David K. Chang; Andrew V. Biankin; Nick Waddell; Karin S. Kassahn; Sean M. Grimmond; Alistair G. Rust; David J. Adams; Nancy A. Jenkins; Neal G. Copeland

Pancreatic cancer is one of the most deadly cancers affecting the Western world. Because the disease is highly metastatic and difficult to diagnosis until late stages, the 5-y survival rate is around 5%. The identification of molecular cancer drivers is critical for furthering our understanding of the disease and development of improved diagnostic tools and therapeutics. We have conducted a mutagenic screen using Sleeping Beauty (SB) in mice to identify new candidate cancer genes in pancreatic cancer. By combining SB with an oncogenic Kras allele, we observed highly metastatic pancreatic adenocarcinomas. Using two independent statistical methods to identify loci commonly mutated by SB in these tumors, we identified 681 loci that comprise 543 candidate cancer genes (CCGs); 75 of these CCGs, including Mll3 and Ptk2, have known mutations in human pancreatic cancer. We identified point mutations in human pancreatic patient samples for another 11 CCGs, including Acvr2a and Map2k4. Importantly, 10% of the CCGs are involved in chromatin remodeling, including Arid4b, Kdm6a, and Nsd3, and all SB tumors have at least one mutated gene involved in this process; 20 CCGs, including Ctnnd1, Fbxo11, and Vgll4, are also significantly associated with poor patient survival. SB mutagenesis provides a rich resource of mutations in potential cancer drivers for cross-comparative analyses with ongoing sequencing efforts in human pancreatic adenocarcinoma.


Cancer Cell | 2016

CXCR2 Inhibition Profoundly Suppresses Metastases and Augments Immunotherapy in Pancreatic Ductal Adenocarcinoma.

Colin W. Steele; Saadia A. Karim; Joshua Leach; Peter Bailey; Rosanna Upstill-Goddard; Loveena Rishi; Mona Foth; Sheila Bryson; Karen McDaid; Zena Wilson; Catherine Eberlein; Juliana Candido; Mairi Clarke; Colin Nixon; John T. Connelly; Nigel B. Jamieson; C. Ross Carter; Frances R. Balkwill; David K. Chang; T.R. Jeffry Evans; Douglas Strathdee; Andrew V. Biankin; Robert J. B. Nibbs; Simon T. Barry; Owen J. Sansom; Jennifer P. Morton

Summary CXCR2 has been suggested to have both tumor-promoting and tumor-suppressive properties. Here we show that CXCR2 signaling is upregulated in human pancreatic cancer, predominantly in neutrophil/myeloid-derived suppressor cells, but rarely in tumor cells. Genetic ablation or inhibition of CXCR2 abrogated metastasis, but only inhibition slowed tumorigenesis. Depletion of neutrophils/myeloid-derived suppressor cells also suppressed metastasis suggesting a key role for CXCR2 in establishing and maintaining the metastatic niche. Importantly, loss or inhibition of CXCR2 improved T cell entry, and combined inhibition of CXCR2 and PD1 in mice with established disease significantly extended survival. We show that CXCR2 signaling in the myeloid compartment can promote pancreatic tumorigenesis and is required for pancreatic cancer metastasis, making it an excellent therapeutic target.


Annals of Oncology | 2012

The prognostic and predictive value of serum CA19.9 in pancreatic cancer

Jeremy L. Humphris; David K. Chang; Amber L. Johns; Christopher J. Scarlett; Marina Pajic; Marc D. Jones; Emily K. Colvin; Adnan Nagrial; Venessa T. Chin; Lorraine A. Chantrill; Jaswinder S. Samra; Anthony J. Gill; James G. Kench; Neil D. Merrett; Amitabha Das; Elizabeth A. Musgrove; Robert L. Sutherland; Andrew V. Biankin

Background Current staging methods for pancreatic cancer (PC) are inadequate, and biomarkers to aid clinical decision making are lacking. Despite the availability of the serum marker carbohydrate antigen 19.9 (CA19.9) for over two decades, its precise role in the management of PC is yet to be defined, and as a consequence, it is not widely used. Methods We assessed the relationship between perioperative serum CA19.9 levels, survival and adjuvant chemotherapeutic responsiveness in a cohort of 260 patients who underwent operative resection for PC. Results By specifically assessing the subgroup of patients with detectable CA19.9, we identified potential utility at key clinical decision points. Low postoperative CA19.9 at 3 months (median survival 25.6 vs 14.8 months, P = 0.0052) and before adjuvant chemotherapy were independent prognostic factors. Patients with postoperative CA 19.9 levels >90 U/ml did not benefit from adjuvant chemotherapy (P = 0.7194) compared with those with a CA19.9 of ≤90 U/ml (median 26.0 vs 16.7 months, P = 0.0108). Normalization of CA19.9 within 6 months of resection was also an independent favorable prognostic factor (median 29.9 vs 14.8 months, P = 0.0004) and normal perioperative CA19.9 levels identified a good prognostic group, which was associated with a 5-year survival of 42%. Conclusions Perioperative serum CA19.9 measurements are informative in patients with detectable CA19.9 (defined by serum levels of >5 U/ml) and have potential clinical utility in predicting outcome and response to adjuvant chemotherapy. Future clinical trials should prioritize incorporation of CA19.9 measurement at key decision points to prospectively validate these findings and facilitate implementation.


Nature Reviews Cancer | 2017

Interrogating open issues in cancer precision medicine with patient-derived xenografts

Annette T. Byrne; Denis Alferez; Frédéric Amant; Daniela Annibali; J. Arribas; Andrew V. Biankin; Alejandra Bruna; Eva Budinská; Carlos Caldas; David K. Chang; Robert B. Clarke; Hans Clevers; George Coukos; Virginie Dangles-Marie; S. Gail Eckhardt; Eva González-Suárez; Els Hermans; Manuel Hidalgo; Monika A. Jarzabek; Steven de Jong; Jos Jonkers; Kristel Kemper; Luisa Lanfrancone; Gunhild M. Mælandsmo; Elisabetta Marangoni; Jean Christophe Marine; Enzo Medico; Jens Henrik Norum; Héctor G. Pálmer; Daniel S. Peeper

Patient-derived xenografts (PDXs) have emerged as an important platform to elucidate new treatments and biomarkers in oncology. PDX models are used to address clinically relevant questions, including the contribution of tumour heterogeneity to therapeutic responsiveness, the patterns of cancer evolutionary dynamics during tumour progression and under drug pressure, and the mechanisms of resistance to treatment. The ability of PDX models to predict clinical outcomes is being improved through mouse humanization strategies and the implementation of co-clinical trials, within which patients and PDXs reciprocally inform therapeutic decisions. This Opinion article discusses aspects of PDX modelling that are relevant to these questions and highlights the merits of shared PDX resources to advance cancer medicine from the perspective of EurOPDX, an international initiative devoted to PDX-based research.


Cell Death & Differentiation | 2013

The histone deacetylase SIRT2 stabilizes Myc oncoproteins.

Pei Yan Liu; Ning Xu; Alena Malyukova; Christopher J. Scarlett; Yuting Sun; Xu Dong Zhang; Dora Ling; Shih-Ping Su; Charlotte Nelson; David K. Chang; Jessica Koach; Andrew E. Tee; Michelle Haber; Norris; Christopher Toon; Ilse Rooman; Chengyuan Xue; Belamy B. Cheung; Sharad Kumar; Glenn M. Marshall; Andrew V. Biankin; Tao Liu

Myc oncoproteins are commonly upregulated in human cancers of different organ origins, stabilized by Aurora A, degraded through ubiquitin–proteasome pathway-mediated proteolysis, and exert oncogenic effects by modulating gene and protein expression. Histone deacetylases are emerging as targets for cancer therapy. Here we demonstrated that the class III histone deacetylase SIRT2 was upregulated by N-Myc in neuroblastoma cells and by c-Myc in pancreatic cancer cells, and that SIRT2 enhanced N-Myc and c-Myc protein stability and promoted cancer cell proliferation. Affymetrix gene array studies revealed that the gene most significantly repressed by SIRT2 was the ubiquitin–protein ligase NEDD4. Consistent with this finding, SIRT2 repressed NEDD4 gene expression by directly binding to the NEDD4 gene core promoter and deacetylating histone H4 lysine 16. Importantly, NEDD4 directly bound to Myc oncoproteins and targeted Myc oncoproteins for ubiquitination and degradation, and small-molecule SIRT2 inhibitors reactivated NEDD4 gene expression, reduced N-Myc and c-Myc protein expression, and suppressed neuroblastoma and pancreatic cancer cell proliferation. Additionally, SIRT2 upregulated and small-molecule SIRT2 inhibitors decreased Aurora A expression. Our data reveal a novel pathway critical for Myc oncoprotein stability, and provide important evidences for potential application of SIRT2 inhibitors for the prevention and therapy of Myc-induced malignancies.


Clinical Cancer Research | 2015

Precision Medicine for Advanced Pancreas Cancer: The Individualized Molecular Pancreatic Cancer Therapy (IMPaCT) Trial

Lorraine A. Chantrill; Adnan Nagrial; Clare Watson; Amber L. Johns; Mona Martyn-Smith; Skye Simpson; Scott Mead; Marc D. Jones; Jaswinder S. Samra; Anthony J. Gill; Nicole Watson; Venessa T. Chin; Jeremy L. Humphris; Angela Chou; Belinda Brown; Adrienne Morey; Marina Pajic; Sean M. Grimmond; David K. Chang; David Thomas; Lucille Sebastian; Katrin Marie Sjoquist; Sonia Yip; Nick Pavlakis; Ray Asghari; Sandra Harvey; Peter Grimison; John Simes; Andrew V. Biankin

Purpose: Personalized medicine strategies using genomic profiling are particularly pertinent for pancreas cancer. The Individualized Molecular Pancreatic Cancer Therapy (IMPaCT) trial was initially designed to exploit results from genome sequencing of pancreatic cancer under the auspices of the International Cancer Genome Consortium (ICGC) in Australia. Sequencing revealed small subsets of patients with aberrations in their tumor genome that could be targeted with currently available therapies. Experimental Design: The pilot stage of the IMPaCT trial assessed the feasibility of acquiring suitable tumor specimens for molecular analysis and returning high-quality actionable genomic data within a clinically acceptable timeframe. We screened for three molecular targets: HER2 amplification; KRAS wild-type; and mutations in DNA damage repair pathways (BRCA1, BRCA2, PALB2, ATM). Results: Tumor biopsy and archived tumor samples were collected from 93 patients and 76 were screened. To date 22 candidate cases have been identified: 14 KRAS wild-type, 5 cases of HER2 amplification, 2 mutations in BRCA2, and 1 ATM mutation. Median time from consent to the return of validated results was 21.5 days. An inability to obtain a biopsy or insufficient tumor content in the available specimen were common reasons for patient exclusion from molecular analysis while deteriorating performance status prohibited a number of patients from proceeding in the study. Conclusions: Documenting the feasibility of acquiring and screening biospecimens for actionable molecular targets in real time will aid other groups embarking on similar trials. Key elements include the need to better prescreen patients, screen more patients, and offer more attractive clinical trial options. Clin Cancer Res; 21(9); 2029–37. ©2015 AACR.


International Journal of Cancer | 2014

Genome-wide DNA methylation patterns in pancreatic ductal adenocarcinoma reveal epigenetic deregulation of SLIT-ROBO, ITGA2 and MET signaling

Katia Nones; Nic Waddell; Sarah Song; Ann Marie Patch; David Miller; Amber L. Johns; Jianmin Wu; Karin S. Kassahn; David L. A. Wood; Peter Bailey; Lynn Fink; Suzanne Manning; Angelika N. Christ; Craig Nourse; Stephen Kazakoff; Darrin Taylor; Conrad Leonard; David K. Chang; Marc D. Jones; Michelle Thomas; Clare Watson; Mark Pinese; Mark J. Cowley; Ilse Rooman; Marina Pajic; Giovanni Butturini; Anna Malpaga; Vincenzo Corbo; Stefano Crippa; Massimo Falconi

The importance of epigenetic modifications such as DNA methylation in tumorigenesis is increasingly being appreciated. To define the genome‐wide pattern of DNA methylation in pancreatic ductal adenocarcinomas (PDAC), we captured the methylation profiles of 167 untreated resected PDACs and compared them to a panel of 29 adjacent nontransformed pancreata using high‐density arrays. A total of 11,634 CpG sites associated with 3,522 genes were significantly differentially methylated (DM) in PDAC and were capable of segregating PDAC from non‐malignant pancreas, regardless of tumor cellularity. As expected, PDAC hypermethylation was most prevalent in the 5′ region of genes (including the proximal promoter, 5′UTR and CpG islands). Approximately 33% DM genes showed significant inverse correlation with mRNA expression levels. Pathway analysis revealed an enrichment of aberrantly methylated genes involved in key molecular mechanisms important to PDAC: TGF‐β, WNT, integrin signaling, cell adhesion, stellate cell activation and axon guidance. Given the recent discovery that SLIT‐ROBO mutations play a clinically important role in PDAC, the role of epigenetic perturbation of axon guidance was pursued in more detail. Bisulfite amplicon deep sequencing and qRT‐PCR expression analyses confirmed recurrent perturbation of axon guidance pathway genes SLIT2, SLIT3, ROBO1, ROBO3, ITGA2 and MET and suggests epigenetic suppression of SLIT‐ROBO signaling and up‐regulation of MET and ITGA2 expression. Hypomethylation of MET and ITGA2 correlated with high gene expression, which was associated with poor survival. These data suggest that aberrant methylation plays an important role in pancreatic carcinogenesis affecting core signaling pathways with potential implications for the disease pathophysiology and therapy.

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Amber L. Johns

Garvan Institute of Medical Research

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Marina Pajic

Garvan Institute of Medical Research

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Anthony J. Gill

Kolling Institute of Medical Research

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Mark Pinese

Garvan Institute of Medical Research

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