The Genomic Landscape of Early-Stage Ovarian High-Grade Serous Carcinoma

Zhao Cheng(Ovarian Cancer Action), Hasan Mirza(Ovarian Cancer Action), Darren Ennis(Ovarian Cancer Action), Philip Smith(Cancer Research UK Cambridge Center), Lena Morrill Gavarró(Cancer Research UK Cambridge Center), Chishimba Sokota(Imperial College Healthcare NHS Trust), Gaia Giannone(Ovarian Cancer Action), Theodora Goranova(Cancer Research UK Cambridge Center), Thomas Bradley(Cancer Research UK Cambridge Center), Anna Piskorz(Cancer Research UK Cambridge Center), Michelle Lockley(Queen Mary University of London), For the BriTROC-1 Investigators(Imperial College Healthcare NHS Trust), Baljeet Kaur(Imperial College Healthcare NHS Trust), Naveena Singh(Barts Health NHS Trust), Laura A. Tookman(Ovarian Cancer Action), Jonathan Krell(University College Hospital), Jacqueline McDermott(University College Hospital), Geoffrey Macintyre(Cancer Research UK Cambridge Center), Florian Markowetz(Cancer Research UK Cambridge Center), James D. Brenton(Cancer Research UK Cambridge Center), Iain A. McNeish(Ovarian Cancer Action)
Clinical Cancer Research
April 10, 2022
Cited by 48Open Access
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Abstract

PURPOSE: Ovarian high-grade serous carcinoma (HGSC) is usually diagnosed at late stage. We investigated whether late-stage HGSC has unique genomic characteristics consistent with acquisition of evolutionary advantage compared with early-stage tumors. EXPERIMENTAL DESIGN: We performed targeted next-generation sequencing and shallow whole-genome sequencing (sWGS) on pretreatment samples from 43 patients with FIGO stage I-IIA HGSC to investigate somatic mutations and copy-number (CN) alterations (SCNA). We compared results to pretreatment samples from 52 patients with stage IIIC/IV HGSC from the BriTROC-1 study. RESULTS: Age of diagnosis did not differ between early-stage and late-stage patients (median 61.3 years vs. 62.3 years, respectively). TP53 mutations were near-universal in both cohorts (89% early-stage, 100% late-stage), and there were no significant differences in the rates of other somatic mutations, including BRCA1 and BRCA2. We also did not observe cohort-specific focal SCNA that could explain biological behavior. However, ploidy was higher in late-stage (median, 3.0) than early-stage (median, 1.9) samples. CN signature exposures were significantly different between cohorts, with greater relative signature 3 exposure in early-stage and greater signature 4 in late-stage. Unsupervised clustering based on CN signatures identified three clusters that were prognostic. CONCLUSIONS: Early-stage and late-stage HGSCs have highly similar patterns of mutation and focal SCNA. However, CN signature analysis showed that late-stage disease has distinct signature exposures consistent with whole-genome duplication. Further analyses will be required to ascertain whether these differences reflect genuine biological differences between early-stage and late-stage or simply time-related markers of evolutionary fitness. See related commentary by Yang et al., p. 2730.


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