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2014
DOI: 10.2147/agg.s58809
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Whole exome sequencing for cancer – is there evidence of clinical utility?

Abstract: Background:In recent years, whole exome sequencing (WES), which allows detection of 85% of disease-causing variants, has been used to compare tumor and normal DNA to allow the identification of variants specific to the tumor. Genetic changes in cancer are increasingly used for diagnosis and may guide treatment decisions. In this paper, we explore whether there is evidence that WES improves outcomes for patients with cancer. Methods: Published evidence was evaluated using a methodology that combines the analyti… Show more

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Cited by 6 publications
(10 citation statements)
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“…Secondly, a number of articles (9, 6 %) focus generally on genetic or inherited disorders, which may or may not be rare diseases. Thirdly, some articles cover many possible diseases – such as cancer [ 42 , 43 ] or rare diseases [ 44 , 45 ] in general - while others focus specifically on one disease [ 46 48 ]. A significant number of articles (42, 29 %) did not focus on any diseases in particular, but addressed the impact of WES on all clinical contexts.…”
Section: Resultsmentioning
confidence: 99%
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“…Secondly, a number of articles (9, 6 %) focus generally on genetic or inherited disorders, which may or may not be rare diseases. Thirdly, some articles cover many possible diseases – such as cancer [ 42 , 43 ] or rare diseases [ 44 , 45 ] in general - while others focus specifically on one disease [ 46 48 ]. A significant number of articles (42, 29 %) did not focus on any diseases in particular, but addressed the impact of WES on all clinical contexts.…”
Section: Resultsmentioning
confidence: 99%
“…This need for interdisciplinary collaboration, along with the way WES testing may challenge existing professional roles in the clinic, was reported as a challenge by 50 (34 %) articles. To interpret variants, these specialists rely on bioinformatics analysis pipelines made of imperfect algorithms [ 36 , 37 , 42 , 55 ], referring to imperfect databases [ 44 , 50 , 56 , 57 ]. The need to develop more efficient and standardised bioinformatics tools to filter, analyze and interpret WES variants was reported as a challenge by 44 (29.29 %) articles.…”
Section: Resultsmentioning
confidence: 99%
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“…Conversely, and equally instructive, WES can highlight diseases that do not share common genes. Chronic lymphocytic leukemia and acute myeloid leukemia are two such examples [56]. Classification of disease subtypes is also useful as it can identify patient-specific genomic rearrangements such as those found in glioblastoma tumors [57].…”
Section: Cancermentioning
confidence: 99%
“…4 , 5 Even genome and exome sequencing have failed to define a clinically applicable, focused approach for the treatment of a given tumor, at least to date. 6 , 7 …”
Section: Introductionmentioning
confidence: 99%