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  • American Association for Cancer Research (AACR)  (2)
  • Lockley, Michelle  (2)
  • 1
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 25, No. 22_Supplement ( 2019-11-15), p. AP09-AP09
    Abstract: BACKGROUND: The genomic complexity of profound copy-number aberration has prevented effective molecular stratification of high grade serous ovarian carcinoma (HGSOC). Recent algorithmic advances have enabled interpretation of complex genomic changes by identifying mutational signatures—genomic patterns that are the imprint of mutagenic processes accumulated over the lifetime of a cancer cell. We hypothesized that specific features of copy-number (CN) abnormalities could represent the imprints of distinct mutational processes, and developed methods to identify signatures from copy-number features in HGSOC. METHODS: We derived copy-number signatures from absolute copy number profiles from 253 primary and relapsed HGSOC samples from 132 patients in the BriTROC-1 cohort using low-cost shallow whole-genome sequencing (sWGS; 0.1×). A subset of 56 of these cases had deep whole-genome sequencing (dWGS) performed for mutation analysis and comparison with sWGS data. Independent validation was performed using 112 dWGS HGSOC cases from PCAWG and 415 HGSOC cases with SNP array and whole exome sequence from TCGA. CN signature exposures were correlated with mutation data, SNV signatures, and other measures derived from deep WGS and exome sequencing to identify statistically significant genomic associations using a false discovery rate & lt;0.05. RESULTS: We identified 7 CN signatures that provided a molecular framework to rederive the major defining elements of HGSOC genomes, including defective homologous recombination (HRD), tandem duplication, amplification of CCNE1 and amplification-associated fold-back inversions. Almost all patients with HGSOC demonstrated a mixture of signatures indicative of combinations of mutational processes, including those with early driver events such as BRCA2 mutation (in addition to HRD signatures). High exposure to CN signature 3, characterised by BRCA1/2-related HRD, was associated with improved overall survival. Conversely, high exposure to signature 1, which was characterised by oncogenic RAS signaling (including NF1, KRAS and NRAS mutation), predicted platinum-resistant relapse and poor survival. CONCLUSIONS: HGSOC lacks clinically-relevant patient stratification, which is reflected in poor survival and is a significant barrier to precision medicine. Copy-number signature exposures at diagnosis predict both overall survival and the probability of platinum-resistant relapse. Our results suggest that early TP53 mutation, the ubiquitous initiating event in HGSOC, may permit multiple mutational processes to co-evolve, potentially simultaneously and that additional signature exposures may alter the risk of developing therapeutic resistance. Thus, our results suggest that HGSOC is a continuum of genomes. We derived signatures using inexpensive sWGS of DNA from core biopsies. These approaches are rapid and cost effective, thus providing a clear path to clinical implementation. By dissecting the mutational forces shaping HGSOC genomes, our study paves the way to understanding extreme genomic complexity, as well as revealing the evolution of tumors as they relapse and acquire resistance to therapy. Citation Format: Geoff Macintyre, Teodora E. Goranova, Dilrini De Silva, Darren Ennis, Anna M. Piskorz, Matthew Eldridge, Daoud Sie, Liz-Anne Lewsley, Aishah Hanif, Cheryl Wilson, Suzanne Dowson, Rosalind M. Glasspool, Michelle Lockley, Elly Brockbank, Ana Montes, Axel Walther, Sudha Sundar, Richard Edmondson, Geoff D. Hall, Andrew Clamp, Charlie Gourley, Marcia Hall, Christina Fotopoulou, Hani Gabra, James Paul, Anna Supernat, David Millan, Aoisha Hoyle, Gareth Bryson, Craig Nourse, Laura Mincarelli, Luis Navarro Sanchez, Bauke Ylstra, Mercedes Jimenez-Linan, Luiza Moore, Oliver Hofmann, Florian Markowetz, Iain A. McNeish, James D. Brenton. COPY-NUMBER SIGNATURES AND MUTATIONAL PROCESSES IN HIGH GRADE SEROUS OVARIAN CARCINOMA [abstract]. In: Proceedings of the 12th Biennial Ovarian Cancer Resear ch Symposium; Sep 13-15, 2018; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2019;25(22 Suppl):Abstract nr AP09.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 53-53
    Abstract: Background: High grade serous carcinoma (HGSC) is the most common and poorest prognosis subtype of ovarian cancer. The large majority of patients present with advanced (stage IIIC or IV) disease with a median survival of only 3-4 years. By contrast, approximately 10% patients are diagnosed with early stage disease, confined to the ovary/fallopian tube, of whom 90% are cured with surgery and platinum-based chemotherapy. Beyond TP53 mutation, classic activating oncogene mutations are rare in HGSC. Rather, HGSC is marked by extreme copy number (CN) abnormalities, and this complexity has prevented detailed understanding of the mutational processes underpinning outcomes in HGSC. We have used shallow whole genome sequencing (sWGS) to develop novel CN signatures that are able to deconvolute the complexity of HGSC genomes. However, nearly all genomics studies in HGSC have examined advanced stage disease, and little is known about the genomics of early stage HGSC - specifically, it is unclear whether these tumors are identified purely by chance or whether they represent a specific subset that does not metastasize. Hypotheses: We hypothesized that early stage HGSC has a distinct copy number landscape compared to stage IIIC/IV disease. Methods and results: We have identified 43 cases of FIGO stage I-IIA HGSC from the pathology archives of three large London Gynaecological Cancer Centres and 52 late-stage (stage IIIC-IV) cases from BriTROC-1 cohort. Median age at diagnosis was 61.3 years vs 62.3 years respectively. There were no significant differences in mutation rates of TP53 and BRCA1/2, and TP53 mutations were near-universal in both cohorts. We also did not find cohort-specific focal SCNA that could explain biological behavior. However, ploidy was significant higher in late-stage (median 3.0) than early-stage (median 1.9) samples. CN signature exposures were significantly different between early and late stage cohorts. Relative exposure of signature 3 was greater in early-stage and greater signature 4 in late-stage. Unsupervised clustering based on CN signatures identified three clusters that were prognostic. Summary:This project identifed that early stage and late stage HGSC have highly similar patterns of mutation and focal SCNA. However, genome-wide analysis indicates that the abnormalities seen in advanced disease are not present in early stage disease, which may represent a discrete subset with reduced metastatic potential. By identifying and characterizing the copy number signature changes, these data suggest that diagnosis at early-stage might reflect biological differences and not fortuitous chance. These data improve understanding of HGSC biology and may reveal potential new treatment strategies. Citation Format: Zhao Cheng, Hasan B. Mirza, Darren P. Ennis, Philip Smith, Lena Morrill Gavarró, Chishimba Sokota, Gaia Giannone, Teodora Goranova, Thomas Bradley, Anna Piskorz, Michelle Lockley, Baljeet Kaur, Naveena Singh, Laura A. Tookman, Jonathan Krell, Jackie McDermott, Geoff Macintyre, Florian Markowetz, James D. Brenton, Iain A. McNeish. The copy number landscape of early stage ovarian high grade serous carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 53.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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