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Building genetic profiles could predict sensitivity or resistance to these therapies and highlight disease\u2010specific abnormalities, supporting personalized patient care. In the context of biomedical research and clinical diagnosis, our laboratory has developed an oncogenic panel comprised of 226 genes and a dedicated bioinformatic pipeline to explore somatic mutations in cervical carcinomas, using high\u2010throughput sequencing. Twenty\u2010nine tumors were sequenced for exons within 226 genes. The automated pipeline used includes a database and a filtration system dedicated to identifying mutations of interest and excluding false positive and germline mutations. One\u2010hundred and seventy\u2010six total mutational events were found among the 29 tumors. Our cervical tumor mutational landscape shows that most mutations are found in <jats:italic><jats:styled-content style=\"fixed-case\">PIK<\/jats:styled-content>3<jats:styled-content style=\"fixed-case\">CA<\/jats:styled-content><\/jats:italic> (E545K, E542K) and <jats:italic><jats:styled-content style=\"fixed-case\">KRAS<\/jats:styled-content><\/jats:italic> (G12D, G13D) and others in <jats:italic><jats:styled-content style=\"fixed-case\">FBXW<\/jats:styled-content>7<\/jats:italic> (R465C, R505G, R479Q). Mutations have also been found in <jats:italic><jats:styled-content style=\"fixed-case\">ALK<\/jats:styled-content><\/jats:italic> (V1149L, A1266T) and <jats:italic><jats:styled-content style=\"fixed-case\">EGFR<\/jats:styled-content><\/jats:italic> (T259M). These results showed that 48% of patients display at least one deleterious mutation in genes that have been already targeted by the Food and Drug Administration approved therapies. Considering deleterious mutations, 59% of patients could be eligible for clinical trials. Sequencing hundreds of genes in a clinical context has become feasible, in terms of time and cost. In the near future, such an analysis could be a part of a battery of examinations along the diagnosis and treatment of cancer, helping to detect sensitivity or resistance to targeted therapies and allow advancements towards personalized oncology.<\/jats:p>","DOI":"10.1002\/cam4.492","type":"journal-article","created":{"date-parts":[[2015,7,8]],"date-time":"2015-07-08T07:34:05Z","timestamp":1436340845000},"page":"1484-1493","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Genetic profiles of cervical tumors by high\u2010throughput sequencing for personalized medical care"],"prefix":"10.1002","volume":"4","author":[{"given":"Etienne","family":"Muller","sequence":"first","affiliation":[{"name":"Department of Cancer Biology and Genetics CCC Fran\u00e7ois Baclesse  Caen France"},{"name":"Inserm U1079  Rouen 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