Sir Peter MacCallum Department of Oncology - Research Publications

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    p53 and ovarian carcinoma survival: an Ovarian Tumor Tissue Analysis consortium study
    Kobel, M ; Kang, E-Y ; Weir, A ; Rambau, PF ; Lee, C-H ; Nelson, GS ; Ghatage, P ; Meagher, NS ; Riggan, MJ ; Alsop, J ; Anglesio, MS ; Beckmann, MW ; Bisinotto, C ; Boisen, M ; Boros, J ; Brand, AH ; Brooks-Wilson, A ; Carney, ME ; Coulson, P ; Courtney-Brooks, M ; Cushing-Haugen, KL ; Cybulski, C ; Deen, S ; El-Bahrawy, MA ; Elishaev, E ; Erber, R ; Fereday, S ; Fischer, A ; Gayther, SA ; Barquin-Garcia, A ; Gentry-Maharaj, A ; Gilks, CB ; Gronwald, H ; Grube, M ; Harnett, PR ; Harris, HR ; Hartkopf, AD ; Hartmann, A ; Hein, A ; Hendley, J ; Hernandez, BY ; Huang, Y ; Jakubowska, A ; Jimenez-Linan, M ; Jones, ME ; Kennedy, CJ ; Kluz, T ; Koziak, JM ; Lesnock, J ; Lester, J ; Lubinski, J ; Longacre, TA ; Lycke, M ; Mateoiu, C ; McCauley, BM ; McGuire, V ; Ney, B ; Olawaiye, A ; Orsulic, S ; Osorio, A ; Paz-Ares, L ; Ramon Y Cajal, T ; Rothstein, JH ; Ruebner, M ; Schoemaker, MJ ; Shah, M ; Sharma, R ; Sherman, ME ; Shvetsov, YB ; Singh, N ; Steed, H ; Storr, SJ ; Talhouk, A ; Traficante, N ; Wang, C ; Whittemore, AS ; Widschwendter, M ; Wilkens, LR ; Winham, SJ ; Benitez, J ; Berchuck, A ; Bowtell, DD ; Candido dos Reis, FJ ; Campbell, I ; Cook, LS ; DeFazio, A ; Doherty, JA ; Fasching, PA ; Fortner, RT ; Garcia, MJ ; Goodman, MT ; Goode, EL ; Gronwald, J ; Huntsman, DG ; Karlan, BY ; Kelemen, LE ; Kommoss, S ; Le, ND ; Martin, SG ; Menon, U ; Modugno, F ; Pharoah, PDP ; Schildkraut, JM ; Sieh, W ; Staebler, A ; Sundfeldt, K ; Swerdlow, AJ ; Ramus, SJ ; Brenton, JD (WILEY, 2023-05)
    Our objective was to test whether p53 expression status is associated with survival for women diagnosed with the most common ovarian carcinoma histotypes (high-grade serous carcinoma [HGSC], endometrioid carcinoma [EC], and clear cell carcinoma [CCC]) using a large multi-institutional cohort from the Ovarian Tumor Tissue Analysis (OTTA) consortium. p53 expression was assessed on 6,678 cases represented on tissue microarrays from 25 participating OTTA study sites using a previously validated immunohistochemical (IHC) assay as a surrogate for the presence and functional effect of TP53 mutations. Three abnormal expression patterns (overexpression, complete absence, and cytoplasmic) and the normal (wild type) pattern were recorded. Survival analyses were performed by histotype. The frequency of abnormal p53 expression was 93.4% (4,630/4,957) in HGSC compared to 11.9% (116/973) in EC and 11.5% (86/748) in CCC. In HGSC, there were no differences in overall survival across the abnormal p53 expression patterns. However, in EC and CCC, abnormal p53 expression was associated with an increased risk of death for women diagnosed with EC in multivariate analysis compared to normal p53 as the reference (hazard ratio [HR] = 2.18, 95% confidence interval [CI] 1.36-3.47, p = 0.0011) and with CCC (HR = 1.57, 95% CI 1.11-2.22, p = 0.012). Abnormal p53 was also associated with shorter overall survival in The International Federation of Gynecology and Obstetrics stage I/II EC and CCC. Our study provides further evidence that functional groups of TP53 mutations assessed by abnormal surrogate p53 IHC patterns are not associated with survival in HGSC. In contrast, we validate that abnormal p53 IHC is a strong independent prognostic marker for EC and demonstrate for the first time an independent prognostic association of abnormal p53 IHC with overall survival in patients with CCC.
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    Gene-Expression Profiling of Mucinous Ovarian Tumors and Comparison with Upper and Lower Gastrointestinal Tumors Identifies Markers Associated with Adverse Outcomes
    Meagher, NS ; Gorringe, KL ; Wakefield, M ; Bolithon, A ; Pang, CNI ; Chiu, DS ; Anglesio, MS ; Mallitt, K-A ; Doherty, JA ; Harris, HR ; Schildkraut, JM ; Berchuck, A ; Cushing-Haugen, KL ; Chezar, K ; Chou, A ; Tan, A ; Alsop, J ; Barlow, E ; Beckmann, MW ; Boros, J ; Bowtell, DDL ; Brand, AH ; Brenton, JD ; Campbell, I ; Cheasley, D ; Cohen, J ; Cybulski, C ; Elishaev, E ; Erber, R ; Farrell, R ; Fischer, A ; Fu, Z ; Gilks, B ; Gill, AJ ; Gourley, C ; Grube, M ; Harnett, PR ; Hartmann, A ; Hettiaratchi, A ; Hogdall, CK ; Huzarski, T ; Jakubowska, A ; Jimenez-Linan, M ; Kennedy, CJ ; Kim, B-G ; Kim, J-W ; Kim, J-H ; Klett, K ; Koziak, JM ; Lai, T ; Laslavic, A ; Lester, J ; Leung, Y ; Li, N ; Liauw, W ; Lim, BWX ; Linder, A ; Lubinski, J ; Mahale, S ; Mateoiu, C ; McInerny, S ; Menkiszak, J ; Minoo, P ; Mittelstadt, S ; Morris, D ; Orsulic, S ; Park, S-Y ; Pearce, CL ; Pearson, J ; Pike, MC ; Quinn, CM ; Mohan, GR ; Rao, J ; Riggan, MJ ; Ruebner, M ; Salfinger, S ; Scott, CL ; Shah, M ; Steed, H ; Stewart, CJR ; Subramanian, D ; Sung, S ; Tang, K ; Timpson, P ; Ward, RL ; Wiedenhoefer, R ; Thorne, H ; Cohen, PA ; Crowe, P ; Fasching, PA ; Gronwald, J ; Hawkins, NJ ; Hogdall, E ; Huntsman, DG ; James, PA ; Karlan, BY ; Kelemen, LE ; Kommoss, S ; Konecny, GE ; Modugno, F ; Park, SK ; Staebler, A ; Sundfeldt, K ; Wu, AH ; Talhouk, A ; Pharoah, PDP ; Anderson, L ; DeFazio, A ; Kobel, M ; Friedlander, ML ; Ramus, SJ (AMER ASSOC CANCER RESEARCH, 2022-12-15)
    PURPOSE: Advanced-stage mucinous ovarian carcinoma (MOC) has poor chemotherapy response and prognosis and lacks biomarkers to aid stage I adjuvant treatment. Differentiating primary MOC from gastrointestinal (GI) metastases to the ovary is also challenging due to phenotypic similarities. Clinicopathologic and gene-expression data were analyzed to identify prognostic and diagnostic features. EXPERIMENTAL DESIGN: Discovery analyses selected 19 genes with prognostic/diagnostic potential. Validation was performed through the Ovarian Tumor Tissue Analysis consortium and GI cancer biobanks comprising 604 patients with MOC (n = 333), mucinous borderline ovarian tumors (MBOT, n = 151), and upper GI (n = 65) and lower GI tumors (n = 55). RESULTS: Infiltrative pattern of invasion was associated with decreased overall survival (OS) within 2 years from diagnosis, compared with expansile pattern in stage I MOC [hazard ratio (HR), 2.77; 95% confidence interval (CI), 1.04-7.41, P = 0.042]. Increased expression of THBS2 and TAGLN was associated with shorter OS in MOC patients (HR, 1.25; 95% CI, 1.04-1.51, P = 0.016) and (HR, 1.21; 95% CI, 1.01-1.45, P = 0.043), respectively. ERBB2 (HER2) amplification or high mRNA expression was evident in 64 of 243 (26%) of MOCs, but only 8 of 243 (3%) were also infiltrative (4/39, 10%) or stage III/IV (4/31, 13%). CONCLUSIONS: An infiltrative growth pattern infers poor prognosis within 2 years from diagnosis and may help select stage I patients for adjuvant therapy. High expression of THBS2 and TAGLN in MOC confers an adverse prognosis and is upregulated in the infiltrative subtype, which warrants further investigation. Anti-HER2 therapy should be investigated in a subset of patients. MOC samples clustered with upper GI, yet markers to differentiate these entities remain elusive, suggesting similar underlying biology and shared treatment strategies.
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    Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci
    DeVries, AA ; Dennis, J ; Tyrer, JP ; Peng, P-C ; Coetzee, SG ; Reyes, AL ; Plummer, JT ; Davis, BD ; Chen, SS ; Dezem, FS ; Aben, KKH ; Anton-Culver, H ; Antonenkova, NN ; Beckmann, MW ; Beeghly-Fadiel, A ; Berchuck, A ; Bogdanova, N ; Bogdanova-Markov, N ; Brenton, JD ; Butzow, R ; Campbell, I ; Chang-Claude, J ; Chenevix-Trench, G ; Cook, LS ; DeFazio, A ; Doherty, JA ; Dork, T ; Eccles, DM ; Eliassen, AH ; Fasching, PA ; Fortner, RT ; Giles, GG ; Goode, EL ; Goodman, MT ; Gronwald, J ; Hakansson, N ; Hildebrandt, MAT ; Huff, C ; Huntsman, DG ; Jensen, A ; Kar, S ; Karlan, BY ; Khusnutdinova, EK ; Kiemeney, LA ; Kjaer, SK ; Kupryjanczyk, J ; Labrie, M ; Lambrechts, D ; Le, ND ; Lubinski, J ; May, T ; Menon, U ; Milne, RL ; Modugno, F ; Monteiro, AN ; Moysich, KB ; Odunsi, K ; Olsson, H ; Pearce, CL ; Pejovic, T ; Ramus, SJ ; Riboli, E ; Riggan, MJ ; Romieu, I ; Sandler, DP ; Schildkraut, JM ; Setiawan, VW ; Sieh, W ; Song, H ; Sutphen, R ; Terry, KL ; Thompson, PJ ; Titus, L ; Tworoger, SS ; Van Nieuwenhuysen, E ; Edwards, DV ; Webb, PM ; Wentzensen, N ; Whittemore, AS ; Wolk, A ; Wu, AH ; Ziogas, A ; Freedman, ML ; Lawrenson, K ; Pharoah, PDP ; Easton, DF ; Gayther, SA ; Jones, MR (OXFORD UNIV PRESS INC, 2022-11)
    BACKGROUND: Known risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort. METHODS: Single nucleotide polymorphism array data from 13 071 EOC cases and 17 306 controls of White European ancestry were used to identify CNVs associated with EOC risk using a rare admixture maximum likelihood test for gene burden and a by-probe ratio test. We performed enrichment analysis of CNVs at known EOC risk loci and functional biofeatures in ovarian cancer-related cell types. RESULTS: We identified statistically significant risk associations with CNVs at known EOC risk genes; BRCA1 (PEOC = 1.60E-21; OREOC = 8.24), RAD51C (Phigh-grade serous ovarian cancer [HGSOC] = 5.5E-4; odds ratio [OR]HGSOC = 5.74 del), and BRCA2 (PHGSOC = 7.0E-4; ORHGSOC = 3.31 deletion). Four suggestive associations (P < .001) were identified for rare CNVs. Risk-associated CNVs were enriched (P < .05) at known EOC risk loci identified by genome-wide association study. Noncoding CNVs were enriched in active promoters and insulators in EOC-related cell types. CONCLUSIONS: CNVs in BRCA1 have been previously reported in smaller studies, but their observed frequency in this large population-based cohort, along with the CNVs observed at BRCA2 and RAD51C gene loci in EOC cases, suggests that these CNVs are potentially pathogenic and may contribute to the spectrum of disease-causing mutations in these genes. CNVs are likely to occur in a wider set of susceptibility regions, with potential implications for clinical genetic testing and disease prevention.
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    Common variants in breast cancer risk loci predispose to distinct tumor subtypes
    Ahearn, TU ; Zhang, H ; Michailidou, K ; Milne, RL ; Bolla, MK ; Dennis, J ; Dunning, AM ; Lush, M ; Wang, Q ; Andrulis, IL ; Anton-Culver, H ; Arndt, V ; Aronson, KJ ; Auer, PL ; Augustinsson, A ; Baten, A ; Becher, H ; Behrens, S ; Benitez, J ; Bermisheva, M ; Blomqvist, C ; Bojesen, SE ; Bonanni, B ; Borresen-Dale, A-L ; Brauch, H ; Brenner, H ; Brooks-Wilson, A ; Bruening, T ; Burwinkel, B ; Buys, SS ; Canzian, F ; Castelao, JE ; Chang-Claude, J ; Chanock, SJ ; Chenevix-Trench, G ; Clarke, CL ; Collee, JM ; Cox, A ; Cross, SS ; Czene, K ; Daly, MB ; Devilee, P ; Dork, T ; Dwek, M ; Eccles, DM ; Evans, DG ; Fasching, PA ; Figueroa, J ; Floris, G ; Gago-Dominguez, M ; Gapstur, SM ; Garcia-Saenz, JA ; Gaudet, MM ; Giles, GG ; Goldberg, MS ; Gonzalez-Neira, A ; Alnaes, GIG ; Grip, M ; Guenel, P ; Haiman, CA ; Hall, P ; Hamann, U ; Harkness, EF ; Heemskerk-Gerritsen, BAM ; Holleczek, B ; Hollestelle, A ; Hooning, MJ ; Hoover, RN ; Hopper, JL ; Howell, A ; Jakimovska, M ; Jakubowska, A ; John, EM ; Jones, ME ; Jung, A ; Kaaks, R ; Kauppila, S ; Keeman, R ; Khusnutdinova, E ; Kitahara, CM ; Ko, Y-D ; Koutros, S ; Kristensen, VN ; Kruger, U ; Kubelka-Sabit, K ; Kurian, AW ; Kyriacou, K ; Lambrechts, D ; Lee, DG ; Lindblom, A ; Linet, M ; Lissowska, J ; Llaneza, A ; Lo, W-Y ; MacInnis, RJ ; Mannermaa, A ; Manoochehri, M ; Margolin, S ; Martinez, ME ; McLean, C ; Meindl, A ; Menon, U ; Nevanlinna, H ; Newman, WG ; Nodora, J ; Offit, K ; Olsson, H ; Orr, N ; Park-Simon, T-W ; Patel, A ; Peto, J ; Pita, G ; Plaseska-Karanfilska, D ; Prentice, R ; Punie, K ; Pylkas, K ; Radice, P ; Rennert, G ; Romero, A ; Ruediger, T ; Saloustros, E ; Sampson, S ; Sandler, DP ; Sawyer, EJ ; Schmutzler, RK ; Schoemaker, MJ ; Schottker, B ; Sherman, ME ; Shu, X-O ; Smichkoska, S ; Southey, MC ; Spinelli, JJ ; Swerdlow, AJ ; Tamimi, RM ; Tapper, WJ ; Taylor, JA ; Teras, LR ; Terry, MB ; Torres, D ; Troester, MA ; Vachon, CM ; van Deurzen, CHM ; van Veen, EM ; Wagner, P ; Weinberg, CR ; Wendt, C ; Wesseling, J ; Winqvist, R ; Wolk, A ; Yang, XR ; Zheng, W ; Couch, FJ ; Simard, J ; Kraft, P ; Easton, DF ; Pharoah, PDP ; Schmidt, MK ; Garcia-Closas, M ; Chatterjee, N (BMC, 2022-01-04)
    BACKGROUND: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. METHODS: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. RESULTS: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. CONCLUSION: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.
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    Phenotypic Consequences of SLC25A40-ABCB1 Fusions beyond Drug Resistance in High-Grade Serous Ovarian Cancer
    Pishas, K ; Cowley, KJ ; Pandey, A ; Hoang, T ; Beach, JA ; Luu, J ; Vary, R ; Smith, LK ; Shembrey, CE ; Rashoo, N ; White, MO ; Simpson, KJ ; Bild, A ; Griffiths, J ; Cheasley, D ; Campbell, I ; Bowtell, DDL ; Christie, EL (MDPI, 2021-11)
    Despite high response rates to initial chemotherapy, the majority of women diagnosed with High-Grade Serous Ovarian Cancer (HGSOC) ultimately develop drug resistance within 1-2 years of treatment. We previously identified the most common mechanism of acquired resistance in HGSOC to date, transcriptional fusions involving the ATP-binding cassette (ABC) transporter ABCB1, which has well established roles in multidrug resistance. However, the underlying biology of fusion-positive cells, as well as how clonal interactions between fusion-negative and positive populations influences proliferative fitness and therapeutic response remains unknown. Using a panel of fusion-negative and positive HGSOC single-cell clones, we demonstrate that in addition to mediating drug resistance, ABCB1 fusion-positive cells display impaired proliferative capacity, elevated oxidative metabolism, altered actin cellular morphology and an extracellular matrix/inflammatory enriched transcriptional profile. The co-culture of fusion-negative and positive populations had no effect on cellular proliferation but markedly altered drug sensitivity to doxorubicin, paclitaxel and cisplatin. Finally, high-throughput screening of 2907 FDA-approved compounds revealed 36 agents that induce equal cytotoxicity in both pure and mixed ABCB1 fusion populations. Collectively, our findings have unraveled the underlying biology of ABCB1 fusion-positive cells beyond drug resistance and identified novel therapeutic agents that may significantly improve the prognosis of relapsed HGSOC patients.
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    Genomic analysis of low-grade serous ovarian carcinoma to identify key drivers and therapeutic vulnerabilities
    Cheasley, D ; Nigam, A ; Zethoven, M ; Hunter, S ; Etemadmoghadam, D ; Semple, T ; Allan, P ; Carey, MS ; Fernandez, ML ; Dawson, A ; Kobel, M ; Huntsman, DG ; Le Page, C ; Mes-Masson, A-M ; Provencher, D ; Hacker, N ; Gao, Y ; Bowtell, D ; deFazio, A ; Gorringe, KL ; Campbell, IG (WILEY, 2021-01)
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    CYP3A7*1C allele: linking premenopausal oestrone and progesterone levels with risk of hormone receptor-positive breast cancers
    Johnson, N ; Maguire, S ; Morra, A ; Kapoor, PM ; Tomczyk, K ; Jones, ME ; Schoemaker, MJ ; Gilham, C ; Bolla, MK ; Wang, Q ; Dennis, J ; Ahearn, TU ; Andrulis, IL ; Anton-Culver, H ; Antonenkova, NN ; Arndt, V ; Aronson, KJ ; Augustinsson, A ; Baynes, C ; Freeman, LEB ; Beckmann, MW ; Benitez, J ; Bermisheva, M ; Blomqvist, C ; Boeckx, B ; Bogdanova, NV ; Bojesen, SE ; Brauch, H ; Brenner, H ; Burwinkel, B ; Campa, D ; Canzian, F ; Castelao, JE ; Chanock, SJ ; Chenevix-Trench, G ; Clarke, CL ; Conroy, DM ; Couch, FJ ; Cox, A ; Cross, SS ; Czene, K ; Doerk, T ; Eliassen, AH ; Engel, C ; Evans, DG ; Fasching, PA ; Figueroa, J ; Floris, G ; Flyger, H ; Gago-Dominguez, M ; Gapstur, SM ; Garcia-Closas, M ; Gaudet, MM ; Giles, GG ; Goldberg, MS ; Gonzalez-Neira, A ; Guenel, P ; Hahnen, E ; Haiman, CA ; Hakansson, N ; Hall, P ; Hamann, U ; Harrington, PA ; Hart, SN ; Hooning, MJ ; Hopper, JL ; Howell, A ; Hunter, DJ ; Jager, A ; Jakubowska, A ; John, EM ; Kaaks, R ; Keeman, R ; Khusnutdinova, E ; Kitahara, CM ; Kosma, V-M ; Koutros, S ; Kraft, P ; Kristensen, VN ; Kurian, AW ; Lambrechts, D ; Le Marchand, L ; Linet, M ; Lubinski, J ; Mannermaa, A ; Manoukian, S ; Margolin, S ; Martens, JWM ; Mavroudis, D ; Mayes, R ; Meindl, A ; Milne, RL ; Neuhausen, SL ; Nevanlinna, H ; Newman, WG ; Nielsen, SF ; Nordestgaard, BG ; Obi, N ; Olshan, AF ; Olson, JE ; Olsson, H ; Orban, E ; Park-Simon, T-W ; Peterlongo, P ; Plaseska-Karanfilska, D ; Pylkas, K ; Rennert, G ; Rennert, HS ; Ruddy, KJ ; Saloustros, E ; Sandler, DP ; Sawyer, EJ ; Schmutzler, RK ; Scott, C ; Shu, X-O ; Simard, J ; Smichkoska, S ; Sohn, C ; Southey, MC ; Spinelli, JJ ; Stone, J ; Tamimi, RM ; Taylor, JA ; Tollenaar, RAEM ; Tomlinson, I ; Troester, MA ; Truong, T ; Vachon, CM ; van Veen, EM ; Wang, SS ; Weinberg, CR ; Wendt, C ; Wildiers, H ; Winqvist, R ; Wolk, A ; Zheng, W ; Ziogas, A ; Dunning, AM ; Pharoah, PDP ; Easton, DF ; Howie, AF ; Peto, J ; dos-Santos-Silva, I ; Swerdlow, AJ ; Chang-Claude, J ; Schmidt, MK ; Orr, N ; Fletcher, O (SPRINGERNATURE, 2021-02-16)
    BACKGROUND: Epidemiological studies provide strong evidence for a role of endogenous sex hormones in the aetiology of breast cancer. The aim of this analysis was to identify genetic variants that are associated with urinary sex-hormone levels and breast cancer risk. METHODS: We carried out a genome-wide association study of urinary oestrone-3-glucuronide and pregnanediol-3-glucuronide levels in 560 premenopausal women, with additional analysis of progesterone levels in 298 premenopausal women. To test for the association with breast cancer risk, we carried out follow-up genotyping in 90,916 cases and 89,893 controls from the Breast Cancer Association Consortium. All women were of European ancestry. RESULTS: For pregnanediol-3-glucuronide, there were no genome-wide significant associations; for oestrone-3-glucuronide, we identified a single peak mapping to the CYP3A locus, annotated by rs45446698. The minor rs45446698-C allele was associated with lower oestrone-3-glucuronide (-49.2%, 95% CI -56.1% to -41.1%, P = 3.1 × 10-18); in follow-up analyses, rs45446698-C was also associated with lower progesterone (-26.7%, 95% CI -39.4% to -11.6%, P = 0.001) and reduced risk of oestrogen and progesterone receptor-positive breast cancer (OR = 0.86, 95% CI 0.82-0.91, P = 6.9 × 10-8). CONCLUSIONS: The CYP3A7*1C allele is associated with reduced risk of hormone receptor-positive breast cancer possibly mediated via an effect on the metabolism of endogenous sex hormones in premenopausal women.
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    Therapeutic options for mucinous ovarian carcinoma
    Gorringe, KL ; Cheasley, D ; Wakefield, MJ ; Ryland, GL ; Allan, PE ; Alsop, K ; Amarasinghe, KC ; Ananda, S ; Bowtell, DDL ; Christie, M ; Chiew, Y-E ; Churchman, M ; DeFazio, A ; Fereday, S ; Gilks, CB ; Gourley, C ; Hadley, AM ; Hendley, J ; Hunter, SM ; Kaufmann, SH ; Kennedy, CJ ; Kobel, M ; Le Page, C ; Li, J ; Lupat, R ; McNally, OM ; McAlpine, JN ; Pyman, J ; Rowley, SM ; Salazar, C ; Saunders, H ; Semple, T ; Stephens, AN ; Thio, N ; Torres, MC ; Traficante, N ; Zethoven, M ; Antill, YC ; Campbell, IG ; Scott, CL (ACADEMIC PRESS INC ELSEVIER SCIENCE, 2020-03)
    OBJECTIVE: Mucinous ovarian carcinoma (MOC) is an uncommon ovarian cancer histotype that responds poorly to conventional chemotherapy regimens. Although long overall survival outcomes can occur with early detection and optimal surgical resection, recurrent and advanced disease are associated with extremely poor survival. There are no current guidelines specifically for the systemic management of recurrent MOC. We analyzed data from a large cohort of women with MOC to evaluate the potential for clinical utility from a range of systemic agents. METHODS: We analyzed gene copy number (n = 191) and DNA sequencing data (n = 184) from primary MOC to evaluate signatures of mismatch repair deficiency and homologous recombination deficiency, and other genetic events. Immunohistochemistry data were collated for ER, CK7, CK20, CDX2, HER2, PAX8 and p16 (n = 117-166). RESULTS: Molecular aberrations noted in MOC that suggest a match with current targeted therapies include amplification of ERBB2 (26.7%) and BRAF mutation (9%). Observed genetic events that suggest potential efficacy for agents currently in clinical trials include: KRAS/NRAS mutations (66%), TP53 missense mutation (49%), RNF43 mutation (11%), ARID1A mutation (10%), and PIK3CA/PTEN mutation (9%). Therapies exploiting homologous recombination deficiency (HRD) may not be effective in MOC, as only 1/191 had a high HRD score. Mismatch repair deficiency was similarly rare (1/184). CONCLUSIONS: Although genetically diverse, MOC has several potential therapeutic targets. Importantly, the lack of response to platinum-based therapy observed clinically corresponds to the lack of a genomic signature associated with HRD, and MOC are thus also unlikely to respond to PARP inhibition.
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    MicroRNA Genes and Their Target 3′-Untranslated Regions Are Infrequently Somatically Mutated in Ovarian Cancers
    Ryland, GL ; Bearfoot, JL ; Doyle, MA ; Boyle, SE ; Choong, DYH ; Rowley, SM ; Tothill, RW ; Gorringe, KL ; Campbell, IG ; Cooney, AJ (PUBLIC LIBRARY SCIENCE, 2012-04-20)
    MicroRNAs are key regulators of gene expression and have been shown to have altered expression in a variety of cancer types, including epithelial ovarian cancer. MiRNA function is most often achieved through binding to the 3'-untranslated region of the target protein coding gene. Mutation screening using massively-parallel sequencing of 712 miRNA genes in 86 ovarian cancer cases identified only 5 mutated miRNA genes, each in a different case. One mutation was located in the mature miRNA, and three mutations were predicted to alter the secondary structure of the miRNA transcript. Screening of the 3'-untranslated region of 18 candidate cancer genes identified one mutation in each of AKT2, EGFR, ERRB2 and CTNNB1. The functional effect of these mutations is unclear, as expression data available for AKT2 and EGFR showed no increase in gene transcript. Mutations in miRNA genes and 3'-untranslated regions are thus uncommon in ovarian cancer.
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    Copy Number Analysis Identifies Novel Interactions Between Genomic Loci in Ovarian Cancer
    Gorringe, KL ; George, J ; Anglesio, MS ; Ramakrishna, M ; Etemadmoghadam, D ; Cowin, P ; Sridhar, A ; Williams, LH ; Boyle, SE ; Yanaihara, N ; Okamoto, A ; Urashima, M ; Smyth, GK ; Campbell, IG ; Bowtell, DDL ; Jordan, IK (PUBLIC LIBRARY SCIENCE, 2010-09-10)
    Ovarian cancer is a heterogeneous disease displaying complex genomic alterations, and consequently, it has been difficult to determine the most relevant copy number alterations with the scale of studies to date. We obtained genome-wide copy number alteration (CNA) data from four different SNP array platforms, with a final data set of 398 ovarian tumours, mostly of the serous histological subtype. Frequent CNA aberrations targeted many thousands of genes. However, high-level amplicons and homozygous deletions enabled filtering of this list to the most relevant. The large data set enabled refinement of minimal regions and identification of rare amplicons such as at 1p34 and 20q11. We performed a novel co-occurrence analysis to assess cooperation and exclusivity of CNAs and analysed their relationship to patient outcome. Positive associations were identified between gains on 19 and 20q, gain of 20q and loss of X, and between several regions of loss, particularly 17q. We found weak correlations of CNA at genomic loci such as 19q12 with clinical outcome. We also assessed genomic instability measures and found a correlation of the number of higher amplitude gains with poorer overall survival. By assembling the largest collection of ovarian copy number data to date, we have been able to identify the most frequent aberrations and their interactions.