Sir Peter MacCallum Department of Oncology - Research Publications

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    The Prognostic Effect of Immune Cell Infiltration Depends on Molecular Subtype in Endometrioid Ovarian Carcinomas
    Heinze, K ; Cairns, ES ; Thornton, S ; Harris, B ; Milne, K ; Grube, M ; Meyer, C ; Karnezis, AN ; Fereday, S ; Garsed, DW ; Leung, SCY ; Chiu, DS ; Moubarak, M ; Harter, P ; Heitz, F ; Mcalpine, JN ; Defazio, A ; Bowtell, DDL ; Goode, EL ; Pike, M ; Ramus, SJ ; Pearce, CL ; Staebler, A ; Koebel, M ; Kommoss, S ; Talhouk, A ; Nelson, BH ; Anglesio, MS (AMER ASSOC CANCER RESEARCH, 2023-09-01)
    PURPOSE: Endometrioid ovarian carcinoma (ENOC) is the second most-common type of ovarian carcinoma, comprising 10%-20% of cases. Recently, the study of ENOC has benefitted from comparisons to endometrial carcinomas including defining ENOC with four prognostic molecular subtypes. Each subtype suggests differential mechanisms of progression, although tumor-initiating events remain elusive. There is evidence that the ovarian microenvironment may be critical to early lesion establishment and progression. However, while immune infiltrates have been well studied in high-grade serous ovarian carcinoma, studies in ENOC are limited. EXPERIMENTAL DESIGN: We report on 210 ENOC, with clinical follow-up and molecular subtype annotation. Using multiplex IHC and immunofluorescence, we examine the prevalence of T-cell lineage, B-cell lineage, macrophages, and populations with programmed cell death protein 1 or programmed death-ligand 1 across subtypes of ENOC. RESULTS: Immune cell infiltrates in tumor epithelium and stroma showed higher densities in ENOC subtypes with known high mutation burden (POLEmut and MMRd). While molecular subtypes were prognostically significant, immune infiltrates were not (overall survival P > 0.2). Analysis by molecular subtype revealed that immune cell density was prognostically significant in only the no specific molecular profile (NSMP) subtype, where immune infiltrates lacking B cells (TILB minus) had inferior outcome (disease-specific survival: HR, 4.0; 95% confidence interval, 1.1-14.7; P < 0.05). Similar to endometrial carcinomas, molecular subtype stratification was generally superior to immune response in predicting outcomes. CONCLUSIONS: Subtype stratification is critical for better understanding of ENOC, in particular the distribution and prognostic significance of immune cell infiltrates. The role of B cells in the immune response within NSMP tumors warrants further study.
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    Multiomic analysis of homologous recombination-deficient end-stage high-grade serous ovarian cancer
    Burdett, NL ; Willis, MO ; Alsop, K ; Hunt, AL ; Pandey, A ; Hamilton, PT ; Abulez, T ; Liu, X ; Hoang, T ; Craig, S ; Fereday, S ; Hendley, J ; Garsed, DW ; Milne, K ; Kalaria, S ; Marshall, A ; Hood, BL ; Wilson, KN ; Conrads, KA ; Pishas, K ; Ananda, S ; Scott, CL ; Antill, Y ; McNally, O ; Mileshkin, L ; Hamilton, A ; Au-Yeung, G ; Devereux, L ; Thorne, H ; Bild, A ; Bateman, NW ; Maxwell, GL ; Chang, JT ; Conrads, TPP ; Nelson, BH ; Bowtell, DDL ; Christie, ELL (NATURE PORTFOLIO, 2023-03)
    High-grade serous ovarian cancer (HGSC) is frequently characterized by homologous recombination (HR) DNA repair deficiency and, while most such tumors are sensitive to initial treatment, acquired resistance is common. We undertook a multiomics approach to interrogate molecular diversity in end-stage disease, using multiple autopsy samples collected from 15 women with HR-deficient HGSC. Patients had polyclonal disease, and several resistance mechanisms were identified within most patients, including reversion mutations and HR restoration by other means. We also observed frequent whole-genome duplication and global changes in immune composition with evidence of immune escape. This analysis highlights diverse evolutionary changes within HGSC that evade therapy and ultimately overwhelm individual patients.
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    Methylation Signature Implicated in Immuno-Suppressive Activities in Tubo-Ovarian High-Grade Serous Carcinoma
    Wang, C ; Block, MS ; Cunningham, JM ; Sherman, ME ; McCauley, BM ; Armasu, SM ; Vierkant, RA ; Traficante, N ; Talhouk, A ; Doherty, JA ; Pejovic, N ; Kobel, M ; Jorgensen, BD ; Garsed, DW ; Fereday, S ; Ramus, SJ ; Ariyaratne, D ; Anglesio, MS ; Widschwendter, M ; Pejovic, T ; Bosquet, JG ; Bowtell, DD ; Winham, SJ ; Goode, EL (AMER ASSOC CANCER RESEARCH, 2023-04)
    BACKGROUND: Better understanding of prognostic factors in tubo-ovarian high-grade serous carcinoma (HGSC) is critical, as diagnosis confers an aggressive disease course. Variation in tumor DNA methylation shows promise predicting outcome, yet prior studies were largely platform-specific and unable to evaluate multiple molecular features. METHODS: We analyzed genome-wide DNA methylation in 1,040 frozen HGSC, including 325 previously reported upon, seeking a multi-platform quantitative methylation signature that we evaluated in relation to clinical features, tumor characteristics, time to recurrence/death, extent of CD8+ tumor-infiltrating lymphocytes (TIL), gene expression molecular subtypes, and gene expression of the ATP-binding cassette transporter TAP1. RESULTS: Methylation signature was associated with shorter time to recurrence, independent of clinical factors (N = 715 new set, hazard ratio (HR), 1.65; 95% confidence interval (CI), 1.10-2.46; P = 0.015; N = 325 published set HR, 2.87; 95% CI, 2.17-3.81; P = 2.2 × 10-13) and remained prognostic after adjustment for gene expression molecular subtype and TAP1 expression (N = 599; HR, 2.22; 95% CI, 1.66-2.95; P = 4.1 × 10-8). Methylation signature was inversely related to CD8+ TIL levels (P = 2.4 × 10-7) and TAP1 expression (P = 0.0011) and was associated with gene expression molecular subtype (P = 5.9 × 10-4) in covariate-adjusted analysis. CONCLUSIONS: Multi-center analysis identified a novel quantitative tumor methylation signature of HGSC applicable to numerous commercially available platforms indicative of shorter time to recurrence/death, adjusting for other factors. Along with immune cell composition analysis, these results suggest a role for DNA methylation in the immunosuppressive microenvironment. IMPACT: This work aids in identification of targetable epigenome processes and stratification of patients for whom tailored treatment may be most beneficial.
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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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    Going to extremes: determinants of extraordinary response and survival in patients with cancer
    Saner, FAM ; Herschtal, A ; Nelson, BH ; deFazio, A ; Goode, EL ; Ramus, SJ ; Pandey, A ; Beach, JA ; Fereday, S ; Berchuck, A ; Lheureux, S ; Pearce, CL ; Pharoah, PD ; Pike, MC ; Garsed, DW ; Bowtell, DDL (NATURE PUBLISHING GROUP, 2019-06)
    Research into factors affecting treatment response or survival in patients with cancer frequently involves cohorts that span the most common range of clinical outcomes, as such patients are most readily available for study. However, attention has turned to highly unusual patients who have exceptionally favourable or atypically poor responses to treatment and/or overall survival, with the expectation that patients at the extremes may provide insights that could ultimately improve the outcome of individuals with more typical disease trajectories. While clinicians can often recount surprising patients whose clinical journey was very unusual, given known clinical characteristics and prognostic indicators, there is a lack of consensus among researchers on how best to define exceptional patients, and little has been proposed for the optimal design of studies to identify factors that dictate unusual outcome. In this Opinion article, we review different approaches to identifying exceptional patients with cancer and possible study designs to investigate extraordinary clinical outcomes. We discuss pitfalls with finding these rare patients, including challenges associated with accrual of patients across different treatment centres and time periods. We describe recent molecular and immunological factors that have been identified as contributing to unusual patient outcome and make recommendations for future studies on these intriguing patients.
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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 Analysis Using Regularized Regression in High-Grade Serous Ovarian Cancer
    Natanzon, Y ; Earp, M ; Cunningham, JM ; Kalli, KR ; Wang, C ; Armasu, SM ; Larson, MC ; Bowtell, DDL ; Garsed, DW ; Fridley, BL ; Winham, SJ ; Goode, EL (SAGE PUBLICATIONS LTD, 2018-02-01)
    High-grade serous ovarian cancer (HGSOC) is a complex disease in which initiation and progression have been associated with copy number alterations, epigenetic processes, and, to a lesser extent, germline variation. We hypothesized that, when summarized at the gene level, tumor methylation and germline genetic variation, alone or in combination, influence tumor gene expression in HGSOC. We used Elastic Net (ENET) penalized regression method to evaluate these associations and adjust for somatic copy number in 3 independent data sets comprising tumors from more than 470 patients. Penalized regression models of germline variation, with or without methylation, did not reveal a role in HGSOC gene expression. However, we observed significant association between regional methylation and expression of 5 genes (WDPCP, KRT6C, BRCA2, EFCAB13, and ZNF283). CpGs retained in ENET model for BRCA2 and ZNF283 appeared enriched in several regulatory elements, suggesting that regularized regression may provide a novel utility for integrative genomic analysis.