Matches in SemOpenAlex for { <https://semopenalex.org/work/W2769895972> ?p ?o ?g. }
- W2769895972 endingPage "43" @default.
- W2769895972 startingPage "34" @default.
- W2769895972 abstract "Purpose Minimal residual disease (MRD) and genetic abnormalities are important risk factors for outcome in acute lymphoblastic leukemia. Current risk algorithms dichotomize MRD data and do not assimilate genetics when assigning MRD risk, which reduces predictive accuracy. The aim of our study was to exploit the full power of MRD by examining it as a continuous variable and to integrate it with genetics. Patients and Methods We used a population-based cohort of 3,113 patients who were treated in UKALL2003, with a median follow-up of 7 years. MRD was evaluated by polymerase chain reaction analysis of Ig/TCR gene rearrangements, and patients were assigned to a genetic subtype on the basis of immunophenotype, cytogenetics, and fluorescence in situ hybridization. To examine response kinetics at the end of induction, we log-transformed the absolute MRD value and examined its distribution across subgroups. Results MRD was log normally distributed at the end of induction. MRD distributions of patients with distinct genetic subtypes were different ( P < .001). Patients with good-risk cytogenetics demonstrated the fastest disease clearance, whereas patients with high-risk genetics and T-cell acute lymphoblastic leukemia responded more slowly. The risk of relapse was correlated with MRD kinetics, and each log reduction in disease level reduced the risk by 20% (hazard ratio, 0.80; 95% CI, 0.77 to 0.83; P < .001). Although the risk of relapse was directly proportional to the MRD level within each genetic risk group, absolute relapse rate that was associated with a specific MRD value or category varied significantly by genetic subtype. Integration of genetic subtype–specific MRD values allowed more refined risk group stratification. Conclusion A single threshold for assigning patients to an MRD risk group does not reflect the response kinetics of the different genetic subtypes. Future risk algorithms should integrate genetics with MRD to accurately identify patients with the lowest and highest risk of relapse." @default.
- W2769895972 created "2017-12-04" @default.
- W2769895972 creator A5001836891 @default.
- W2769895972 creator A5009877179 @default.
- W2769895972 creator A5013368749 @default.
- W2769895972 creator A5013867832 @default.
- W2769895972 creator A5029209917 @default.
- W2769895972 creator A5032713965 @default.
- W2769895972 creator A5050141938 @default.
- W2769895972 creator A5050460822 @default.
- W2769895972 creator A5059308615 @default.
- W2769895972 creator A5066319509 @default.
- W2769895972 creator A5071044021 @default.
- W2769895972 creator A5080575836 @default.
- W2769895972 creator A5090938450 @default.
- W2769895972 date "2018-01-01" @default.
- W2769895972 modified "2023-10-10" @default.
- W2769895972 title "Genotype-Specific Minimal Residual Disease Interpretation Improves Stratification in Pediatric Acute Lymphoblastic Leukemia" @default.
- W2769895972 cites W1490840859 @default.
- W2769895972 cites W2007184765 @default.
- W2769895972 cites W2033091093 @default.
- W2769895972 cites W2033383345 @default.
- W2769895972 cites W2040755933 @default.
- W2769895972 cites W2064799866 @default.
- W2769895972 cites W2071899049 @default.
- W2769895972 cites W2075043727 @default.
- W2769895972 cites W2075139424 @default.
- W2769895972 cites W2096875118 @default.
- W2769895972 cites W2101272773 @default.
- W2769895972 cites W2104722860 @default.
- W2769895972 cites W2111606093 @default.
- W2769895972 cites W2116650345 @default.
- W2769895972 cites W2127090352 @default.
- W2769895972 cites W2131206723 @default.
- W2769895972 cites W2147852317 @default.
- W2769895972 cites W2148631711 @default.
- W2769895972 cites W2163926478 @default.
- W2769895972 cites W2165434507 @default.
- W2769895972 cites W2169083993 @default.
- W2769895972 cites W2264709743 @default.
- W2769895972 cites W2278470648 @default.
- W2769895972 cites W2280037895 @default.
- W2769895972 cites W2337104547 @default.
- W2769895972 cites W2405220018 @default.
- W2769895972 cites W2413038045 @default.
- W2769895972 cites W2513488453 @default.
- W2769895972 cites W2521684777 @default.
- W2769895972 cites W2528140859 @default.
- W2769895972 cites W2577230177 @default.
- W2769895972 cites W31750938 @default.
- W2769895972 doi "https://doi.org/10.1200/jco.2017.74.0449" @default.
- W2769895972 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5756322" @default.
- W2769895972 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29131699" @default.
- W2769895972 hasPublicationYear "2018" @default.
- W2769895972 type Work @default.
- W2769895972 sameAs 2769895972 @default.
- W2769895972 citedByCount "117" @default.
- W2769895972 countsByYear W27698959722018 @default.
- W2769895972 countsByYear W27698959722019 @default.
- W2769895972 countsByYear W27698959722020 @default.
- W2769895972 countsByYear W27698959722021 @default.
- W2769895972 countsByYear W27698959722022 @default.
- W2769895972 countsByYear W27698959722023 @default.
- W2769895972 crossrefType "journal-article" @default.
- W2769895972 hasAuthorship W2769895972A5001836891 @default.
- W2769895972 hasAuthorship W2769895972A5009877179 @default.
- W2769895972 hasAuthorship W2769895972A5013368749 @default.
- W2769895972 hasAuthorship W2769895972A5013867832 @default.
- W2769895972 hasAuthorship W2769895972A5029209917 @default.
- W2769895972 hasAuthorship W2769895972A5032713965 @default.
- W2769895972 hasAuthorship W2769895972A5050141938 @default.
- W2769895972 hasAuthorship W2769895972A5050460822 @default.
- W2769895972 hasAuthorship W2769895972A5059308615 @default.
- W2769895972 hasAuthorship W2769895972A5066319509 @default.
- W2769895972 hasAuthorship W2769895972A5071044021 @default.
- W2769895972 hasAuthorship W2769895972A5080575836 @default.
- W2769895972 hasAuthorship W2769895972A5090938450 @default.
- W2769895972 hasBestOaLocation W27698959721 @default.
- W2769895972 hasConcept C104317684 @default.
- W2769895972 hasConcept C126322002 @default.
- W2769895972 hasConcept C143998085 @default.
- W2769895972 hasConcept C174475383 @default.
- W2769895972 hasConcept C196166836 @default.
- W2769895972 hasConcept C203014093 @default.
- W2769895972 hasConcept C207103383 @default.
- W2769895972 hasConcept C2777542201 @default.
- W2769895972 hasConcept C2778461978 @default.
- W2769895972 hasConcept C2779823535 @default.
- W2769895972 hasConcept C2781107101 @default.
- W2769895972 hasConcept C2909962599 @default.
- W2769895972 hasConcept C30481170 @default.
- W2769895972 hasConcept C44249647 @default.
- W2769895972 hasConcept C54355233 @default.
- W2769895972 hasConcept C553184892 @default.
- W2769895972 hasConcept C71924100 @default.
- W2769895972 hasConcept C86803240 @default.
- W2769895972 hasConceptScore W2769895972C104317684 @default.
- W2769895972 hasConceptScore W2769895972C126322002 @default.