1. Profiling cancer gene mutations in longitudinal epithelial ovarian cancer biopsies by targeted next-generation sequencing: a retrospective study
- Author
-
Luca Clivio, Robert Fruscio, Chiara Romualdi, Ilaria Craparotta, Patrizia Perego, E. Ronchetti, Vittoria Fotia, Caterina Mele, Lara Paracchini, Antonella Ravaggi, Alberto Zambelli, Marco Petrillo, Sergio Marchini, Enrica Calura, Maurizio D'Incalci, Paraskevas Iatropoulos, Federica Sina, B. Chapman, M. Di Marino, Paolo Martini, Luca Beltrame, Rodolfo Milani, Marina Noris, Tommaso Grassi, Beltrame, L, Di Marino, M, Fruscio, R, Calura, E, Chapman, B, Clivio, L, Sina, F, Mele, C, Iatropoulos, P, Grassi, T, Fotia, V, Romualdi, C, Martini, P, Noris, M, Paracchini, L, Craparotta, I, Petrillo, M, Milani, R, Perego, P, Ravaggi, A, Zambelli, A, Ronchetti, E, D'Incalci, M, and Marchini, S
- Subjects
Biopsy ,Drug Resistance ,Drug resistance ,Clear Cell ,Epithelial ovarian cancer ,Matched tumor biopsies ,NGS ,Adenocarcinoma, Clear Cell ,Adenocarcinoma, Mucinous ,Adult ,Aged ,Antineoplastic Combined Chemotherapy Protocols ,Combined Modality Therapy ,Cystadenocarcinoma, Serous ,Drug Resistance, Neoplasm ,Endometrial Neoplasms ,Female ,Follow-Up Studies ,Genes, Neoplasm ,High-Throughput Nucleotide Sequencing ,Homologous Recombination ,Humans ,Longitudinal Studies ,Lymphatic Metastasis ,Middle Aged ,Mutation ,Neoplasm Grading ,Neoplasm Recurrence, Local ,Neoplasm Staging ,Ovarian Neoplasms ,Prognosis ,Retrospective Studies ,Survival Rate ,Medicine (all) ,Hematology ,Oncology ,Medicine ,Mucinous ,medicine.diagnostic_test ,Amplicon ,Matched tumor biopsie ,Local ,Concordance ,Cystadenocarcinoma ,Adenocarcinoma ,DNA sequencing ,Indel ,Gene ,business.industry ,Serous ,Neoplasm ,Genes ,Neoplasm Recurrence ,Cancer research ,Homologous recombination ,business - Abstract
Background The majority of patients with stage III–IV epithelial ovarian cancer (EOC) relapse after initially responding to platinum-based chemotherapy, and develop resistance. The genomic features involved in drug resistance are unknown. To unravel some of these features, we investigated the mutational profile of genes involved in pathways related to drug sensitivity in a cohort of matched tumors obtained at first surgery (Ft-S) and second surgery (Sd-S). Patients and methods Matched biopsies (33) taken at Ft-S and Sd-S were selected from the ‘Pandora’ tumor tissue collection. DNA libraries for 65 genes were generated using the TruSeq Custom Amplicon kit and sequenced on MiSeq (Illumina). Data were analyzed using a high-performance cluster computing platform (Cloud4CARE project) and independently validated. Results A total of 2270 somatic mutations were identified (89.85% base substitutions 8.19% indels, and 1.92% unknown). Homologous recombination (HR) genes and TP53 were mutated in the majority of Ft-S, while ATM, ATR, TOP2A and TOP2B were mutated in the entire dataset. Only 2% of mutations were conserved between matched Ft-S and Sd-S. Mutations detected at second surgery clustered patients in two groups characterized by different mutational profiles in genes associated with HR, PI3K, miRNA biogenesis and signal transduction. Conclusions There was a low level of concordance between Ft-S and Sd-S in terms of mutations in genes involved in key processes of tumor growth and drug resistance. This result suggests the importance of future longitudinal analyses to improve the clinical management of relapsed EOC.
- Published
- 2015
- Full Text
- View/download PDF