2016
DOI: 10.1038/leu.2016.65
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Genetic alterations and their clinical implications in older patients with acute myeloid leukemia

Abstract: A number of patient-specific and leukemia-associated factors are related to the poor outcome in older patients with acute myeloid leukemia (AML). However, comprehensive studies regarding the impact of genetic alterations in this group of patients are limited. In this study, we compared relevant mutations in 21 genes between AML patients aged 60 years or older and those younger and exposed their prognostic implications. Compared with the younger patients, the elderly had significantly higher incidences of PTPN1… Show more

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Cited by 105 publications
(108 citation statements)
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“…The underlying reason might be that IDH2 but not IDH1 mutations were associated with older age . Recently, several other genetic alterations like TP53 , RUNX1 and ASXL1 mutations were found to be more prevalent in the elder population . However, we did not observe these genes as commonly mutated genes, the reason might be a difference in population.…”
Section: Discussioncontrasting
confidence: 68%
See 1 more Smart Citation
“…The underlying reason might be that IDH2 but not IDH1 mutations were associated with older age . Recently, several other genetic alterations like TP53 , RUNX1 and ASXL1 mutations were found to be more prevalent in the elder population . However, we did not observe these genes as commonly mutated genes, the reason might be a difference in population.…”
Section: Discussioncontrasting
confidence: 68%
“…Because European LeukemiaNet (ELN) genotype was proposed as a standardized classification in the elderly patients with CN‐AML, we used ELN genotype but not individual genes ( FLT3 ‐ITD, NPM1 and CEBPA ) as a potential predictor in the multivariate models. To establish precision medicine for every patient, previous studies utilized 8–10 genes to classify patients into different prognostic groups . In fact, the genetic testing should have a short turnaround time, inexpensive and reliable.…”
Section: Discussionmentioning
confidence: 99%
“…7 We adopted Kaplan–Meier estimation to plot survival curves, and used log-rank tests to examine the difference between groups. The variables including age, 28 white blood cell counts at diagnosis, karyotype, NPM1/FLT3- ITD , CEBPA , RUNX1 , WT1 , ASXL1, IDH2, DNMT3A, TP53 and splicing factors mutations were used as covariates in multivariate analysis. Relative risk and 95% confidence interval were estimated by Cox proportional hazards regression models to determine independent risk factors associated with survival in multivariate analyses.…”
Section: Methodsmentioning
confidence: 99%
“…PTPN11 is also frequently mutated in secondary acute myeloid leukemia (AML) [19], relapsed pediatric AML [20] and acute lymphoblastic leukemia (ALL) [21]. The frequency of PTPN11 mutations in AML is higher in patients older than 60yrs [22] and also has prognostic significance. Secondary AML patients carrying mutations in PTPN11 show rapid disease progression and reduced overall survival [19].…”
Section: Shp2 In Leukemogenesismentioning
confidence: 99%