Sir Peter MacCallum Department of Oncology - Research Publications

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    Beating the odds: molecular characteristics of long-term survivors of ovarian cancer
    Garsed, DW ; Bowtell, DDL (Nature Research, 2022-12-01)
    High-grade serous ovarian cancer, the most common form of the disease, is often fatal. This study investigated the genomic and immune characteristics of tumors from women who survived more than 10 years after their initial diagnosis, and compared them with short-term and moderate-term survivors.
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    The genomic and immune landscape of long-term survivors of high-grade serous ovarian cancer
    Garsed, DW ; Pandey, A ; Fereday, S ; Kennedy, CJ ; Takahashi, K ; Alsop, K ; Hamilton, PT ; Hendley, J ; Chiew, Y-E ; Traficante, N ; Provan, P ; Ariyaratne, D ; Au-Yeung, G ; Bateman, NW ; Bowes, L ; Brand, A ; Christie, EL ; Cunningham, JM ; Friedlander, M ; Grout, B ; Harnett, P ; Hung, J ; McCauley, B ; McNally, O ; Piskorz, AM ; Saner, FAM ; Vierkant, RA ; Wang, C ; Winham, SJ ; Pharoah, PDP ; Brenton, JD ; Conrads, TP ; Maxwell, GL ; Ramus, SJ ; Pearce, CL ; Pike, MC ; Nelson, BH ; Goode, EL ; DeFazio, A ; Bowtell, DDL (NATURE PORTFOLIO, 2022-12)
    Fewer than half of all patients with advanced-stage high-grade serous ovarian cancers (HGSCs) survive more than five years after diagnosis, but those who have an exceptionally long survival could provide insights into tumor biology and therapeutic approaches. We analyzed 60 patients with advanced-stage HGSC who survived more than 10 years after diagnosis using whole-genome sequencing, transcriptome and methylome profiling of their primary tumor samples, comparing this data to 66 short- or moderate-term survivors. Tumors of long-term survivors were more likely to have multiple alterations in genes associated with DNA repair and more frequent somatic variants resulting in an increased predicted neoantigen load. Patients clustered into survival groups based on genomic and immune cell signatures, including three subsets of patients with BRCA1 alterations with distinctly different outcomes. Specific combinations of germline and somatic gene alterations, tumor cell phenotypes and differential immune responses appear to contribute to long-term survival in HGSC.
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    The Tumor Microenvironment of Clear-Cell Ovarian Cancer
    Devilin, M-J ; Miller, R ; Laforets, F ; Kotantaki, P ; Garsed, DW ; Kristeleit, R ; Bowtell, DD ; McDermott, J ; Maniati, E ; Balkwill, FR (AMER ASSOC CANCER RESEARCH, 2022-11)
    Some patients with advanced clear-cell ovarian cancer (CCOC) respond to immunotherapy; however, little is known about the tumor microenvironment (TME) of this relatively rare disease. Here, we describe a comprehensive quantitative and topographical analysis of biopsies from 45 patients, 9 with Federation Internationale des Gynaecologistes et Obstetristes (FIGO) stage I/II (early CCOC) and 36 with FIGO stage III/IV (advanced CCOC). We investigated 14 immune cell phenotype markers, PD-1 and ligands, and collagen structure and texture. We interrogated a microarray data set from a second cohort of 29 patients and compared the TMEs of ARID1A-wildtype (ARID1Awt) versus ARID1A-mutant (ARID1Amut) disease. We found significant variations in immune cell frequency and phenotype, checkpoint expression, and collagen matrix between the malignant cell area (MCA), leading edge (LE), and stroma. The MCA had the largest population of CD138+ plasma cells, the LE had more CD20+ B cells and T cells, whereas the stroma had more mast cells and αSMA+ fibroblasts. PD-L2 was expressed predominantly on malignant cells and was the dominant PD-1 ligand. Compared with early CCOC, advanced-stage disease had significantly more fibroblasts and a more complex collagen matrix, with microarray analysis indicating "TGFβ remodeling of the extracellular matrix" as the most significantly enriched pathway. Data showed significant differences in immune cell populations, collagen matrix, and cytokine expression between ARID1Awt and ARID1Amut CCOC, which may reflect different paths of tumorigenesis and the relationship to endometriosis. Increased infiltration of CD8+ T cells within the MCA and CD4+ T cells at the LE and stroma significantly associated with decreased overall survival.
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    TRACEBACK: Testing of Historical Tubo-Ovarian Cancer Patients for Hereditary Risk Genes as a Cancer Prevention Strategy in Family Members
    Delahunty, R ; Nguyen, L ; Craig, S ; Creighton, B ; Ariyaratne, D ; Garsed, DW ; Christie, E ; Fereday, S ; Andrews, L ; Lewis, A ; Limb, S ; Pandey, A ; Hendley, J ; Traficante, N ; Carvajal, N ; Spurdle, AB ; Thompson, B ; Parsons, MT ; Beshay, V ; Volcheck, M ; Semple, T ; Lupat, R ; Doig, K ; Yu, J ; Chen, XQ ; Marsh, A ; Love, C ; Bilic, S ; Beilin, M ; Nichols, CB ; Greer, C ; Lee, YC ; Gerty, S ; Gill, L ; Newton, E ; Howard, J ; Williams, R ; Norris, C ; Stephens, AN ; Tutty, E ; Smyth, C ; O'Connell, S ; Jobling, T ; Stewart, CJR ; Tan, A ; Fox, SB ; Pachter, N ; Li, J ; Ellul, J ; Mir Arnau, G ; Young, M-A ; Gordon, L ; Forrest, L ; Harris, M ; Livingstone, K ; Hill, J ; Chenevix-Trench, G ; Cohen, PA ; Webb, PM ; Friedlander, M ; James, P ; Bowtell, D ; Alsop, K (LIPPINCOTT WILLIAMS & WILKINS, 2022-06-20)
    PURPOSE: Tubo-ovarian cancer (TOC) is a sentinel cancer for BRCA1 and BRCA2 pathogenic variants (PVs). Identification of a PV in the first member of a family at increased genetic risk (the proband) provides opportunities for cancer prevention in other at-risk family members. Although Australian testing rates are now high, PVs in patients with TOC whose diagnosis predated revised testing guidelines might have been missed. We assessed the feasibility of detecting PVs in this population to enable genetic risk reduction in relatives. PATIENTS AND METHODS: In this pilot study, deceased probands were ascertained from research cohort studies, identification by a relative, and gynecologic oncology clinics. DNA was extracted from archival tissue or stored blood for panel sequencing of 10 risk-associated genes. Testing of deceased probands ascertained through clinic records was performed with a consent waiver. RESULTS: We identified 85 PVs in 84 of 787 (11%) probands. Familial contacts of 39 of 60 (65%) deceased probands with an identified recipient (60 of 84; 71%) have received a written notification of results, with follow-up verbal contact made in 85% (33 of 39). A minority of families (n = 4) were already aware of the PV. For many (29 of 33; 88%), the genetic result provided new information and referral to a genetic service was accepted in most cases (66%; 19 of 29). Those who declined referral (4 of 29) were all male next of kin whose family member had died more than 10 years before. CONCLUSION: We overcame ethical and logistic challenges to demonstrate that retrospective genetic testing to identify PVs in previously untested deceased probands with TOC is feasible. Understanding reasons for a family member's decision to accept or decline a referral will be important for guiding future TRACEBACK projects.
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    Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes
    Dentro, SC ; Leshchiner, I ; Haase, K ; Tarabichi, M ; Wintersinger, J ; Deshwar, AG ; Yu, K ; Rubanova, Y ; Macintyre, G ; Demeulemeester, J ; Vazquez-Garcia, I ; Kleinheinz, K ; Livitz, DG ; Malikic, S ; Donmez, N ; Sengupta, S ; Anur, P ; Jolly, C ; Cmero, M ; Rosebrock, D ; Schumacher, SE ; Fan, Y ; Fittall, M ; Drews, RM ; Yao, X ; Watkins, TBK ; Lee, J ; Schlesner, M ; Zhu, H ; Adams, DJ ; McGranahan, N ; Swanton, C ; Getz, G ; Boutros, PC ; Imielinski, M ; Beroukhim, R ; Sahinalp, SC ; Ji, Y ; Peifer, M ; Martincorena, I ; Markowetz, F ; Mustonen, V ; Yuan, K ; Gerstung, M ; Spellman, PT ; Wang, W ; Morris, QD ; Wedge, DC ; Van Loo, P (CELL PRESS, 2021-04-15)
    Intra-tumor heterogeneity (ITH) is a mechanism of therapeutic resistance and therefore an important clinical challenge. However, the extent, origin, and drivers of ITH across cancer types are poorly understood. To address this, we extensively characterize ITH across whole-genome sequences of 2,658 cancer samples spanning 38 cancer types. Nearly all informative samples (95.1%) contain evidence of distinct subclonal expansions with frequent branching relationships between subclones. We observe positive selection of subclonal driver mutations across most cancer types and identify cancer type-specific subclonal patterns of driver gene mutations, fusions, structural variants, and copy number alterations as well as dynamic changes in mutational processes between subclonal expansions. Our results underline the importance of ITH and its drivers in tumor evolution and provide a pan-cancer resource of comprehensively annotated subclonal events from whole-genome sequencing data.
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    Genomic footprints of activated telomere maintenance mechanisms in cancer
    Sieverling, L ; Hong, C ; Koser, SD ; Ginsbach, P ; Kleinheinz, K ; Hutter, B ; Braun, DM ; Cortes-Ciriano, I ; Xi, R ; Kabbe, R ; Park, PJ ; Eils, R ; Schlesner, M ; Brors, B ; Rippe, K ; Jones, DTW ; Feuerbach, L (NATURE PORTFOLIO, 2020-02-05)
    Cancers require telomere maintenance mechanisms for unlimited replicative potential. They achieve this through TERT activation or alternative telomere lengthening associated with ATRX or DAXX loss. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we dissect whole-genome sequencing data of over 2500 matched tumor-control samples from 36 different tumor types aggregated within the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium to characterize the genomic footprints of these mechanisms. While the telomere content of tumors with ATRX or DAXX mutations (ATRX/DAXXtrunc) is increased, tumors with TERT modifications show a moderate decrease of telomere content. One quarter of all tumor samples contain somatic integrations of telomeric sequences into non-telomeric DNA. This fraction is increased to 80% prevalence in ATRX/DAXXtrunc tumors, which carry an aberrant telomere variant repeat (TVR) distribution as another genomic marker. The latter feature includes enrichment or depletion of the previously undescribed singleton TVRs TTCGGG and TTTGGG, respectively. Our systematic analysis provides new insight into the recurrent genomic alterations associated with telomere maintenance mechanisms in cancer.
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    High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations
    Zhang, Y ; Chen, F ; Fonseca, NA ; He, Y ; Fujita, M ; Nakagawa, H ; Zhang, Z ; Brazma, A ; Creighton, CJ (NATURE PUBLISHING GROUP, 2020-02-05)
    The impact of somatic structural variants (SVs) on gene expression in cancer is largely unknown. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole-genome sequencing data and RNA sequencing from a common set of 1220 cancer cases, we report hundreds of genes for which the presence within 100 kb of an SV breakpoint associates with altered expression. For the majority of these genes, expression increases rather than decreases with corresponding breakpoint events. Up-regulated cancer-associated genes impacted by this phenomenon include TERT, MDM2, CDK4, ERBB2, CD274, PDCD1LG2, and IGF2. TERT-associated breakpoints involve ~3% of cases, most frequently in liver biliary, melanoma, sarcoma, stomach, and kidney cancers. SVs associated with up-regulation of PD1 and PDL1 genes involve ~1% of non-amplified cases. For many genes, SVs are significantly associated with increased numbers or greater proximity of enhancer regulatory elements near the gene. DNA methylation near the promoter is often increased with nearby SV breakpoint, which may involve inactivation of repressor elements.
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    Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing
    Cortes-Ciriano, I ; Lee, JJ-K ; Xi, R ; Jain, D ; Jung, YL ; Yang, L ; Gordenin, D ; Klimczak, LJ ; Zhang, C-Z ; Pellman, DS ; Park, PJ ; Akdemir, KC ; Alvarez, EG ; Baez-Ortega, A ; Beroukhim, R ; Boutros, PC ; Bowtell, DDL ; Brors, B ; Burns, KH ; Campbell, PJ ; Chan, K ; Chen, K ; Dueso-Barroso, A ; Dunford, AJ ; Edwards, PA ; Estivill, X ; Etemadmoghadam, D ; Feuerbach, L ; Fink, JL ; Frenkel-Morgenstern, M ; Garsed, DW ; Gerstein, M ; Gordenin, DA ; Haan, D ; Haber, JE ; Hess, JM ; Hutter, B ; Imielinski, M ; Jones, DTW ; Ju, YS ; Kazanov, MD ; Koh, Y ; Korbel, JO ; Kumar, K ; Lee, EA ; Li, Y ; Lynch, AG ; Macintyre, G ; Markowetz, F ; Martincorena, I ; Martinez-Fundichely, A ; Miyano, S ; Nakagawa, H ; Navarro, FCP ; Ossowski, S ; Pearson, J ; Puiggros, M ; Rippe, K ; Roberts, ND ; Roberts, SA ; Rodriguez-Martin, B ; Schumacher, SE ; Scully, R ; Shackleton, M ; Sidiropoulos, N ; Sieverling, L ; Stewart, C ; Torrents, D ; Tubio, JMC ; Villasante, I ; Waddell, N ; Wala, JA ; Weischenfeldt, J ; Yao, X ; Yoon, S-S ; Zamora, J ; Alsop, K ; Christie, EL ; Fereday, S ; Mileshkin, L ; Mitchell, C ; Thorne, H ; Traficante, N ; Cmero, M ; Cowin, PA ; Hamilton, A ; Mir Arnau, G ; Vedururu, R ; Grimmond, SM ; Hofmann, O ; Morrison, C ; Oien, KA ; Pairojkul, C ; Waring, PM ; van de Vijver, MJ ; Behren, A (Nature Research, 2020-03)
    Chromothripsis is a mutational phenomenon characterized by massive, clustered genomic rearrangements that occurs in cancer and other diseases. Recent studies in selected cancer types have suggested that chromothripsis may be more common than initially inferred from low-resolution copy-number data. Here, as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA), we analyze patterns of chromothripsis across 2,658 tumors from 38 cancer types using whole-genome sequencing data. We find that chromothripsis events are pervasive across cancers, with a frequency of more than 50% in several cancer types. Whereas canonical chromothripsis profiles display oscillations between two copy-number states, a considerable fraction of events involve multiple chromosomes and additional structural alterations. In addition to non-homologous end joining, we detect signatures of replication-associated processes and templated insertions. Chromothripsis contributes to oncogene amplification and to inactivation of genes such as mismatch-repair-related genes. These findings show that chromothripsis is a major process that drives genome evolution in human cancer.
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    Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer
    Akdemir, KC ; Le, VT ; Chandran, S ; Li, Y ; Verhaak, RG ; Beroukhim, R ; Campbell, PJ ; Chin, L ; Dixon, JR ; Futreal, PA ; Alvarez, EG ; Baez-Ortega, A ; Beroukhim, R ; Boutros, PC ; Bowtell, DDL ; Brors, B ; Burns, KH ; Chan, K ; Chen, K ; Cortes-Ciriano, I ; Dueso-Barroso, A ; Dunford, AJ ; Edwards, PA ; Estivill, X ; Etemadmoghadam, D ; Feuerbach, L ; Fink, JL ; Frenkel-Morgenstern, M ; Garsed, DW ; Gerstein, M ; Gordenin, DA ; Haan, D ; Haber, JE ; Hess, JM ; Hutter, B ; Imielinski, M ; Jones, DTW ; Ju, YS ; Kazanov, MD ; Klimczak, LJ ; Koh, Y ; Korbel, JO ; Kumar, K ; Lee, EA ; Lee, JJ-K ; Lynch, AG ; Macintyre, G ; Markowetz, F ; Martincorena, I ; Martinez-Fundichely, A ; Meyerson, M ; Miyano, S ; Nakagawa, H ; Navarro, FCP ; Ossowski, S ; Park, PJ ; Pearson, JV ; Puiggros, M ; Rippe, K ; Roberts, ND ; Roberts, SA ; Rodriguez-Martin, B ; Schumacher, SE ; Scully, R ; Shackleton, M ; Sidiropoulos, N ; Sieverling, L ; Stewart, C ; Torrents, D ; Tubio, JMC ; Villasante, I ; Waddell, N ; Wala, JA ; Weischenfeldt, J ; Yang, L ; Yao, X ; Yoon, S-S ; Zamora, J ; Zhang, C-Z (NATURE PORTFOLIO, 2020-03)
    Chromatin is folded into successive layers to organize linear DNA. Genes within the same topologically associating domains (TADs) demonstrate similar expression and histone-modification profiles, and boundaries separating different domains have important roles in reinforcing the stability of these features. Indeed, domain disruptions in human cancers can lead to misregulation of gene expression. However, the frequency of domain disruptions in human cancers remains unclear. Here, as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA), which aggregated whole-genome sequencing data from 2,658 cancers across 38 tumor types, we analyzed 288,457 somatic structural variations (SVs) to understand the distributions and effects of SVs across TADs. Notably, SVs can lead to the fusion of discrete TADs, and complex rearrangements markedly change chromatin folding maps in the cancer genomes. Notably, only 14% of the boundary deletions resulted in a change in expression in nearby genes of more than twofold.
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    Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis
    Carlevaro-Fita, J ; Lanzos, A ; Feuerbach, L ; Hong, C ; Mas-Ponte, D ; Pedersen, JS ; Johnson, R ; Abascal, F ; Amin, SB ; Bader, GD ; Barenboim, J ; Beroukhim, R ; Bertl, J ; Boroevich, KA ; Brunak, S ; Campbell, PJ ; Carlevaro-Fita, J ; Chakravarty, D ; Chan, CWY ; Chen, K ; Choi, JK ; Deu-Pons, J ; Dhingra, P ; Diamanti, K ; Feuerbach, L ; Fink, JL ; Fonseca, NA ; Frigola, J ; Gambacorti-Passerini, C ; Garsed, DW ; Gerstein, M ; Getz, G ; Gonzalez-Perez, A ; Guo, Q ; Gut, IG ; Haan, D ; Hamilton, MP ; Haradhvala, NJ ; Harmanci, AO ; Helmy, M ; Herrmann, C ; Hess, JM ; Hobolth, A ; Hodzic, E ; Hong, C ; Hornshoj, H ; Isaev, K ; Izarzugaza, JMG ; Johnson, TA ; Juul, M ; Juul, RI ; Kahles, A ; Kahraman, A ; Kellis, M ; Khurana, E ; Kim, J ; Kim, JK ; Kim, Y ; Komorowski, J ; Korbel, JO ; Kumar, S ; Lanzos, A ; Larsson, E ; Lawrence, MS ; Lee, D ; Lehmann, K-V ; Li, S ; Li, X ; Lin, Z ; Liu, EM ; Lochovsky, L ; Lou, S ; Madsen, T ; Marchal, K ; Martincorena, I ; Martinez-Fundichely, A ; Maruvka, YE ; McGillivray, PD ; Meyerson, W ; Muinos, F ; Mularoni, L ; Nakagawa, H ; Nielsen, MM ; Paczkowska, M ; Park, K ; Park, K ; Pedersen, JS ; Pich, O ; Pons, T ; Pulido-Tamayo, S ; Raphael, BJ ; Reimand, J ; Reyes-Salazar, I ; Reyna, MA ; Rheinbay, E ; Rubin, MA ; Rubio-Perez, C ; Sabarinathan, R ; Sahinalp, SC ; Saksena, G ; Salichos, L ; Sander, C ; Schumacher, SE ; Shackleton, M ; Shapira, O ; Shen, C ; Shrestha, R ; Shuai, S ; Sidiropoulos, N ; Sieverling, L ; Sinnott-Armstrong, N ; Stein, LD ; Stuart, JM ; Tamborero, D ; Tiao, G ; Tsunoda, T ; Umer, HM ; Uuskula-Reimand, L ; Valencia, A ; Vazquez, M ; Verbeke, LPC ; Wadelius, C ; Wadi, L ; Wang, J ; Warrell, J ; Waszak, SM ; Weischenfeldt, J ; Wheeler, DA ; Wu, G ; Yu, J ; Zhang, J ; Zhang, X ; Zhang, Y ; Zhao, Z ; Zou, L ; von Mering, C (NATURE PUBLISHING GROUP, 2020-02-05)
    Long non-coding RNAs (lncRNAs) are a growing focus of cancer genomics studies, creating the need for a resource of lncRNAs with validated cancer roles. Furthermore, it remains debated whether mutated lncRNAs can drive tumorigenesis, and whether such functions could be conserved during evolution. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we introduce the Cancer LncRNA Census (CLC), a compilation of 122 GENCODE lncRNAs with causal roles in cancer phenotypes. In contrast to existing databases, CLC requires strong functional or genetic evidence. CLC genes are enriched amongst driver genes predicted from somatic mutations, and display characteristic genomic features. Strikingly, CLC genes are enriched for driver mutations from unbiased, genome-wide transposon-mutagenesis screens in mice. We identified 10 tumour-causing mutations in orthologues of 8 lncRNAs, including LINC-PINT and NEAT1, but not MALAT1. Thus CLC represents a dataset of high-confidence cancer lncRNAs. Mutagenesis maps are a novel means for identifying deeply-conserved roles of lncRNAs in tumorigenesis.