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Galletta, Laura

Mayo Clinic

Cedars-Sinai Medical Center

Citations 3

Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci
DeVries, Amber A , Peng, Pei-Chen , Reyes, Alberto Luiz P., Plummer, Jasmine , Davis, Brian , Chen, Stephanie S., Dezem, Felipe Segato , Antonenkova, Natalia, Beckmann, Matthias W. , Beeghly‐Fadiel, Alicia, Bogdanova, Natalia , Bogdanova-Markov, Nadja, Brenton, James D. , Chang‐Claude, Jenny , Dörk, Thilo , Eccles, Diana M, Fasching, Peter A. , Goode, Ellen L. , Goodman, Marc T. , Group, OPAL Study, Grant, Peter , Nagle, C.A., Chevenix-Trench, G, Bowtell, D, Blomfield, Penny, Davis, Alison , Leung, Yee , Livingstone, Karen, O’Neill, Helen C. , Black, Amanda , Hadley, Alison , Shannon, Colleen, Neesham, Deborah, Otton, Geoffrey, Au‐Yeung, George , Goss, Geraldine , Wain, Gerard, Gard, Grace , Robertson, G S M, Lombard, Janine , Tan, Joanne , McNeilage, Jane, Power, J. , Miller, Jessica A., Lamont, John, Wong, Kit Man , Reid, Kate , Milishkin, L, Buck, Martin , Bunting, Michael W, McNally, Orla , Awad, Reda, Mohan, Rahul , Farrell, Rhonda , McIntosh, Rachel, Rome, Robert, Houghton, R., Hogg, Russell , Land, R., Baron‐Hay, Sally , Paramasivum, S, Pather, Selvan , Hyde, Samuel M. , Salfinger, Stuart , Valmadre, Susan, Jobling, Thomas W., Manolitsas, Tom, Bonaventura, T, Group, AOCS, Bowtell, D, Green, A, Webb, P, Gertig, DM, Moore, S., Hung, Jillian A., Harrap, Karen L. , Sadkowsky, T., Malt, M. , Robertson, R. Paul , Bergh, T. Vanden, Jones, Michelle R. , Nattress, K., Chiew, Yoke-Eng, Stenlake, Annie, Ashover, P., Corrish, T., Jackman, Louisa, Ferguson, Kaltin , Martin, Kara, Martyn, Amanda C. , White, Jonathan, Jayde, V., Bowes, Laura, Mamers, Pamela, Galletta, Laura, Giles, Daniel A., Hendley, Joy , Shirley, H., Ball, C., Young, Christian D. , Viduka, S., Bilic, Sanela , Glavinas, Lydia, Brooks, Jacqueline D., Stuart‐Harris, R., Kirsten, Fred, Rutovitz, J , Clingan, P., Proietto, Anthony , Braye, Stephen, Shannon, J., Bonaventura, T, Begbie, Stephen , Hildebrandt, Michelle A.T., Huff, Chad D. , Huntsman, David G., Kar, Siddhartha , Labrie, Marilyne , Lambrechts, Diether , Le, Nhu D. , May, Taymaa, Menon, Usha , Moysich, Kirsten B. , Odunsi, Kunle , Olsson, Håkan , Pearce, Celeste Leigh , Ramus, Susan J. , Ríboli, Elio , Riggan, Marjorie J. , Romieu, Isabelle , Schildkraut, Joellen M. , Sieh, Weiva , Song, Honglin , Sutphen, Rebecca , Terry, Kathryn L. , Thompson, Pamela J., Titus, Linda , Tworoger, Shelley S. , Nieuwenhuysen, Els Van , Edwards, Digna Velez, Wentzensen, Nicolas , Whittemore, Alice S. , Wu, Anna H. , Freedman, Matthew L., Lawrenson, Kate , Easton, Douglas F. , Gayther, Simon A. , Eccles, Diana , Bowtell, David D.L. , Lambrechts, Diether , Dennis, Joe , Plummer, Jasmine T , Anton-Culver, Hoda , Campbell, Ian G , Chenevix-Trench, Georgia , Eliassen, A Heather , Jensen, Allan , Kar, Siddhartha , Menon, Usha , Riboli, Elio , Sieh, Weiva , Webb, Penelope M , Wentzensen, Nicolas , Wolk, Alicja , Ziogas, Argyrios , Lawrenson, Kate , Jones, Michelle R , Dörk, Thilo , Lambrechts, Diether , Ramus, Susan J , Tworoger, Shelley S , Eccles, Diana , Brenton, James D , Moysich, Kirsten , Lambrechts, Diether , Bogdanova, Natalia V , Bowtell, David D , Goodman, Marc T , Tyrer, Jonathan P. , Coetzee, Simon G. , Aben, Katja K.H. , Anton‐Culver, Hoda , Beeghly‐Fadiel, Alicia , Berchuck, Andrew , Bützow, Ralf C. , Campbell, Ian , Chenevix‐Trench, Georgia , Cook, Linda S. , DeFazio, Anna , Doherty, Jennifer A. , Eliassen, A. Heather , Fortner, Renée T. , Giles, Graham G. , Gronwald, Jacek , Group, OPAL Study, Friedländer, Michael , Obermair, Andreas , Nagle, C, Beesley, Vanessa L. , Bowtell, D, Brand, Alison H. , Nicklin, James , Quinn, Michael A. , Williams, M, Hadley, A, Glasgow, A, Garrett, A, Rao, A, Steer, Christopher , Allen, Deborah Emma , Robertson, G, Power, J, Coward, Jermaine , Carter, Jonathan , Lamont, J, Wong, K M, Perrin, Lewis C , Nascimento, M, Buck, M, Harrison, Michelle , Chetty, Naven , Hacker, Neville F. , Harnett, Paul R. , Beale, Philip James , Awad, R, McIntosh, R, Sayer, R, Hogg, R, Hyde, S, Bonaventura, T, Arora, Vivek , Group, AOCS, Bowtell, D, Webb, P, Gertig, Dorota M., Traficante, Nadia , Fereday, Sián , Pandeya, Nirmala , Robertson, R, McKenzie, P, Maidens, J, Sullivan, Helen T. , Alexander, Brian M. , Brown, S, Green, L, Jackman, L, Martyn, A, Ranieri, B, White, J, Giles, D, Alsop, Kathryn , Schmidt, T, Young, C, Tran, H, Rutovitz, J, Glasgow, A, Shannon, J, Bonaventura, T, Stewart, James , Håkansson, Niclas , Hildebrandt, Michelle A.T. , Jensen, Allan , Karlan, Beth Y. , Хуснутдинова, Э. К. , Kiemeney, Lambertus A. , Kjær, Susanne K. , Kupryjańczyk, Jolanta , Lubiński, Jan , Milne, Roger L. , Modugno, Francesmary , Monteiro, Álvaro N.A. , Pejovic, Tanja B. , Sandler, Dale P. , Setiawan, Veronica Wendy , Edwards, Digna R. Velez , Webb, Penelope M. , Wolk, Alicja , Ziogas, Argyrios , Pharoah, Paul D.P.

JNCI: Journal of the National Cancer Institute | October 10, 2022 | Volume: 114 | Issue: 11 | Pages: 1533-1544

10.1093/jnci/djac160 Get It

AbstractBackgroundKnown 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.MethodsSingle 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.ResultsWe 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.ConclusionsCNVs 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.
Abstract 38: Using molecularly characterized patient-derived models to delineate underlying drivers and vulnerabilities of epithelial ovarian cancer
Topp, Monique, Hartley, Lynne, Cook, Michele , Heong, Valerie , McShane, Lauren, Pyman, Jan, McNally, Orla , Ananda, Sumi, Harell, Maria I., Etemadmoghadam, Dariush , Galletta, Laura, Mitchell, Gillian, Kerr, Jeff B., Kaufmann, Scott H. , (AOCS), Australian Ovarian Cancer Study, Wakefield, Matthew M., Boehm, Emma , Alsop, Kathryn , Fox, Stephen B. , Hutt, Karla J. , (AOCS), Australian Ovarian Cancer Study, Swisher, Elizabeth M. , Bowtell, David D.L. , Wakefield, Matthew, Scott, Clare L. , Kaufmann, Scott H

Cancer Research | May 1, 2015 | Volume: 74 | Issue: 23_Supplement | Pages: 38-38

10.1158/1538-7445.cansusc14-38 Get It

Abstract Background: Treatment options for women with ovarian cancer remain very limited and acquired resistance to current therapies is very common. Altered DNA repair capability in epithelial ovarian cancer (EOC) may underlie response to both standard therapy and novel treatments, such as PARP inhibitors. Molecular sub-classification of high-grade serous ovarian cancer (HG-SOC) may uncover potential drug targets and possible mechanisms of drug resistance. Understanding the contribution of DNA repair and other driver mutations to drug response and resistance requires the development of molecularly annotated preclinical models reflective of the clinic. Methods: A patient derived xenograft (PDX) cohort has been generated from consecutive, chemotherapy-naïve human HG-SOC and stratified according to in vivo response to standard chemotherapy, DNA repair capability and molecular characteristics, including next generation sequencing by Foundation Medicine. Resistance to therapy is driven by re-treating relapsed PDX in vivo providing invaluable “paired samples” (pre and post drug treatment), which are difficult to obtain from patients, to allow clonal evolution analysis of mechanisms of drug response and resistance. Results: The xenograft success rate was 83%. Of ten HG-SOC PDX, all exhibited mutations in TP53, five in BRCA1/2 (two of which were germline) and two were methylated for BRCA1. In vivo cisplatin response, determined as platinum sensitive (progression-free interval (PFI) ≥100 d, n=4), platinum resistant (PFI <100 d, n=3) or platinum refractory (n=3), was largely consistent with patient outcome. Three of four platinum sensitive HG-SOC PDX contained DNA repair gene mutations, and the fourth was methylated for BRCA1. In contrast, all three platinum refractory PDX overexpressed dominant oncogenes (CCNE1, LIN28B and/or BCL2). Molecular analysis of this cohort has revealed actionable targets for novel therapeutic strategies. In vivo studies, including with PARP inhibitors, are underway. Conclusion: PDX with histologic, molecular and therapeutic annotation, as well as clinical outcome data allow interrogation of molecular aberrations and drug resistance in vivo. This will inform targeting of novel therapies and the design of clinical trials for women. Citation Format: Monique D. Topp, Lynne Hartley, Michele Cook, Valerie Heong, Emma Boehm, Lauren McShane, Jan Pyman, Orla McNally, Sumi Ananda, Maria I. Harell, Dariush Etemadmoghadam, Laura Galletta, Kathryn Alsop, Gillian Mitchell, Stephen B. Fox, Jeff B. Kerr, Karla J. Hutt, Scott H. Kaufmann, Australian Ovarian Cancer Study (AOCS), Elizabeth M. Swisher, David D. Bowtell, Matthew M. Wakefield, Clare L. Scott. Using molecularly characterized patient-derived models to delineate underlying drivers and vulnerabilities of epithelial ovarian cancer. [abstract]. In: Proceedings of the AACR Special Conference: Cancer Susceptibility and Cancer Susceptibility Syndromes; Jan 29-Feb 1, 2014; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(23 Suppl):Abstract nr 38. doi:10.1158/1538-7445.CANSUSC14-38
Molecular characterization of mucinous ovarian tumours supports a stratified treatment approach with HER2 targeting in 19% of carcinomas
Anglesio, Michael S. , Kommoss, Stefan , Tolcher, Mary Catherine , Clarke, Blaise , Galletta, Laura, Porter, Henry, Damaraju, Sambasivarao , Fereday, Sián , Winterhoff, Boris , Yang, Winnie , Steed, Helen , Allo, Ghassan , Ferguson, Sarah E. , Teoman, Attila, García, Joaquín J. , Schoolmeester, John K., Tinker, Anna V. , Bowtell, David D.L. , Huntsman, David G. , Gilks, C. Blake, Kalloger, Steve E. , Senz, Janine , Shaw, Patricia H. , Bakkum‐Gamez, Jamie N. , McAlpine, Jessica N. , Anglesio, Michael S , Bowtell, David D , Fereday, Sian , Steed, Helen

The Journal of Pathology | August 16, 2012 | Volume: 229 | Issue: 1 | Pages: 111-120

10.1002/path.4088 Get It

AbstractMucinous ovarian carcinomas (MCs) typically do not respond to current conventional therapy. We have previously demonstrated amplification of HER2 in 6 of 33 (18.2%) mucinous ovarian carcinomas (MCs) and presented anecdotal evidence of response with HER2‐targeted treatment in a small series of women with recurrent HER2‐amplified (HER2+) MC. Here, we explore HER2 amplification and KRAS mutation status in an independent cohort of 189 MCs and 199 mucinous borderline ovarian tumours (MBOTs) and their association to clinicopathological features. HER2 status was assessed by immunohistochemistry (IHC), FISH, and CISH, and interpreted per ASCO/CAP guidelines, with intratumoural heterogeneity assessment on full sections, where available. KRAS mutation testing was performed with Sanger sequencing. Stage and grade were associated with recurrence on both univariate and multivariate analysis (p < 0.001). Assessment of HER2 status revealed overexpression/amplification of HER2 in 29/154 (18.8%) MCs and 11/176 (6.2%) MBOTs. There was excellent agreement between IHC, FISH, and CISH assessment of HER2 status (perfect concordance of HER2 0 or 1+ IHC with non‐amplified status, and 3+ IHC with amplified status). KRAS mutations were seen in 31/71 (43.6%) MCs and 26/33 (78.8%) MBOTs, and were near mutually exclusive of HER2 amplification. In the 189 MC cases, a total of 54 recurrences and 59 deaths (53 of progressive disease) were observed. Within MCs, either HER2 amplification/overexpression or KRAS mutation was associated with decreased likelihood of disease recurrence (p = 0.019) or death (p = 0.0041) when compared to cases with neither feature. Intratumoural heterogeneity was noted in 26% of HER2‐overexpressing cases. These data support the stratification of MCs for the testing of new treatments, with HER2‐targeted therapy as a viable option for HER2+ advanced or recurrent disease. Further research is required to delineate the molecular and clinical features of the ∼34% of MC cases with neither HER2 amplification nor KRAS mutations.