2011
DOI: 10.1126/scitranslmed.3003161
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Personalized Oncology Through Integrative High-Throughput Sequencing: A Pilot Study

Abstract: Individual cancers harbor a set of genetic aberrations that can be informative for identifying rational therapies currently available or in clinical trials. We implemented a pilot study to explore the practical challenges of applying high-throughput sequencing in clinical oncology. We enrolled patients with advanced or refractory cancer who were eligible for clinical trials. For each patient, we performed whole-genome sequencing of the tumor, targeted whole-exome sequencing of tumor and normal DNA, and transcr… Show more

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Cited by 535 publications
(428 citation statements)
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“…In other institutes, for example at the University of Michigan, all patients undergoing NGS procedure of their tumor had to meet with a genetic counselor before consenting to genomic analysis. 18 This may have been preferable in our second patient. She did not feel the necessity of further investigations or counseling concerning her unsolicited finding.…”
Section: Discussion Of Current Recommendations In the Literaturementioning
confidence: 92%
“…In other institutes, for example at the University of Michigan, all patients undergoing NGS procedure of their tumor had to meet with a genetic counselor before consenting to genomic analysis. 18 This may have been preferable in our second patient. She did not feel the necessity of further investigations or counseling concerning her unsolicited finding.…”
Section: Discussion Of Current Recommendations In the Literaturementioning
confidence: 92%
“…Furthermore, those exact studies may also be able to pinpoint mechanisms of resistance to specific treatments, identify key molecular targets that predict response to certain drugs, and may be targets for future therapies [41]. This approach will depend on collaborative efforts between major academic centers to enroll patients based on detailed molecular characteristics Novel agents in acute myeloid leukemia 183 rather than diagnosis, and require the necessary infrastructure to analyze the high throughput sequencing data in a clinically actionable time frame [42]. Incorporation of genomics into clinical trials would only be the first step towards a more personalized therapy for AML in which each patient's therapy is tailored to their specific molecular abnormalities.…”
Section: Improving Clinical Trial Design In Amlmentioning
confidence: 99%
“…21 The daunting fact of hundreds, if not thousands, of nonsynonymous somatic mutations in a given MM patient becomes even more of a stark reality as molecularly informed tumor boards are convened to deliver personalized treatment options based on whole-genome sequencing. 22 Where we once considered only a small number of so-called driver mutations of relevance to MM, the genomic landscape has rapidly expanded to include numerous driver mutations, passenger mutations, and even so-called back-seat mutations. 23,24 It will also be necessary to determine the relationship between numerous oncogenes associated with the melanoma cells (for example, Notch, RAC1, GRIN2a, ERBB4, loss of INK4a, and so on.)…”
Section: Genetics: the Landscape Expands With More Mountains And Hmentioning
confidence: 99%
“…83 Thus, sufficient progress has been made so that machine/technology-driven molecularly informed tumor boards, in conjunction with accurate interpretation by a highly trained dermatopathologist, might become the rule rather than the exception for MM patients in the not-so-distant future. 22 Cracking Signaling Codes for Therapeutic Benefits and Understanding Drug Resistance There are many therapeutic strategies emerging from the panoply of genetic alterations being detected by highthroughput sequencing technologies, facilitating development of precision medicine for MM patients. 27 One of the best therapeutic examples of exploiting the discovery of a BRAFV600E mutation identified in the majority of MM patients has been targeting signaling components linked to the Ras/Raf/MEK/ERK pathway.…”
Section: Diagnostic Challenges: Microscope Vs Machinesmentioning
confidence: 99%