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Whole-exome analysis in osteosarcoma to identify a personalized therapy

Authors :
Massimiliano Mancini
C. Puggioni
Sara Franceschi
Francesca Lessi
Carlo Della Rocca
Claudio Di Cristofano
Vincenzo Petrozza
Raffaella Carletti
Chiara Maria Mazzanti
Prospero Civita
Veronica De Gregorio
Paolo Aretini
Caterina Chiappetta
Antonio Giuseppe Naccarato
Source :
Oncotarget
Publication Year :
2017

Abstract

// Caterina Chiappetta 1 , Massimiliano Mancini 1 , Francesca Lessi 2 , Paolo Aretini 2 , Veronica De Gregorio 2 , Chiara Puggioni 1 , Raffaella Carletti 1 , Vincenzo Petrozza 1 , Prospero Civita 2 , Sara Franceschi 2 , Antonio G. Naccarato 3 , Carlo Della Rocca 1 , Chiara M. Mazzanti 2, * and Claudio Di Cristofano 1, * 1 UOC of Pathology, Department of Medical-Surgical Sciences and Bio-Technologies, Sapienza University of Rome, Latina, Italy 2 Pisa Science Foundation, Pisa, Italy 3 Department of Pathology, University of Pisa, Pisa, Italy * These authors contributed equally to this work Correspondence to: Carlo Della Rocca, email: carlo.dellarocca@uniroma1.it Keywords: osteosarcoma, next generation sequencing, carcinogenesis, metastasis, drug resistance Received: March 31, 2017 Accepted: June 20, 2017 Published: July 05, 2017 ABSTRACT Osteosarcoma is the most common pediatric primary non-hematopoietic bone tumor. Survival of these young patients is related to the response to chemotherapy and development of metastases. Despite many advances in cancer research, chemotherapy regimens for osteosarcoma are still based on non-selective cytotoxic drugs. It is essential to investigate new specific molecular therapies for osteosarcoma to increase the survival rate of these patients. We performed exomic sequence analyses of 8 diagnostic biopsies of patients with conventional high grade osteosarcoma to advance our understanding of their genetic underpinnings and to correlate the genetic alteration with the clinical and pathological features of each patient to identify a personalized therapy. We identified 18,275 somatic variations in 8,247 genes and we found three mutated genes in 7/8 (87%) samples (KIF1B, NEB and KMT2C). KMT2C showed the highest number of variations; it is an important component of a histone H3 lysine 4 methyltransferase complex and it is one of the histone modifiers previously implicated in carcinogenesis, never studied in osteosarcoma. Moreover, we found a group of 15 genes that showed variations only in patients that did not respond to therapy and developed metastasis and some of these genes are involved in carcinogenesis and tumor progression in other tumors. These data could offer the opportunity to get a key molecular target to identify possible new strategies for early diagnosis and new therapeutic approaches for osteosarcoma and to provide a tailored treatment for each patient based on their genetic profile.

Details

Language :
English
Database :
OpenAIRE
Journal :
Oncotarget
Accession number :
edsair.doi.dedup.....ac3a884323cd63693c295ae2737e4afe