Sex differences in prognosis for children with acute lymphoblastic leukemia. 1999

C H Pui, and J M Boyett, and M V Relling, and P L Harrison, and G K Rivera, and F G Behm, and J T Sandlund, and R C Ribeiro, and J E Rubnitz, and A Gajjar, and W E Evans
Department of Hematology-Oncology, St. Jude Children's Research Hospital, and University of Tennessee, College of Medicine and Pharmacy, Memphis 38105, USA.

OBJECTIVE Whether recent improvements in the treatment of childhood acute lymphoblastic leukemia (ALL) have nullified the adverse prognosis associated with male sex remains unclear. Therefore, we analyzed the survival experience and presenting clinical and laboratory features of boys and girls with newly diagnosed ALL who were treated at our institution over the past three decades. METHODS One thousand one hundred fifty-one boys and 904 girls were treated in 13 consecutive Total Therapy studies between 1962 and 1994. An overview analysis was used to investigate the impact of sex on overall and event-free survival, both for the entire cohort and for subgroups defined by treatment era and blast-cell immunophenotype. Stratified analyses were performed to adjust for treatment protocol and known risk factors, and in the modern treatment era, for protocol, immunophenotype, and the DNA content of leukemic cells (ie, DNA index). The pharmacokinetics of methotrexate, teniposide, and cytarabine, as well as the thiopurine methyltransferase activity of erythrocytes, were compared between boys and girls treated on a single protocol. RESULTS Compared with girls, boys were more likely to have T-cell ALL (20.9% v 10.7%, P < .001) and seemed less likely to have a favorable DNA index (17.8% v 25.1%, P = .072). There were no other statistically significant differences between the two sexes with respect to presenting features, including leukemic-cell genetic abnormalities, nor were there significant sex differences in the pharmacokinetics of methotrexate, teniposide, or cytarabine or in erythrocyte thiopurine methyltransferase activity. Girls clearly fared better than boys (P < .001) on protocols used during the early era of treatment (10-year event-free survival +/- 1 SE, 43.1%+/-2.1% v 31.5%+/-1.7%). Although prognosis improved for both sexes in the modern era, the difference in outcome between girls and boys persisted (P = .025) (10-year event-free survival, 73.4%+/-3.7% v 63.5%+/-4.0%). However, stratification of modern-era patients by protocol, immunophenotype, and DNA index mitigated statistical evidence of a sex difference in overall survival (P = .263) and event-free survival (P = .124). CONCLUSIONS Although boys and girls alike have benefited from improvements in ALL therapy, these gains have not completely eliminated the sex difference in prognosis that has persisted since the early 1960s. The apparent difference in outcome is partially explained by differences between boys and girls in the distributions of ALL immunophenotype and DNA index.

UI MeSH Term Description Entries
D007223 Infant A child between 1 and 23 months of age. Infants
D008297 Male Males
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002675 Child, Preschool A child between the ages of 2 and 5. Children, Preschool,Preschool Child,Preschool Children
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D012737 Sex Factors Maleness or femaleness as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or effect of a circumstance. It is used with human or animal concepts but should be differentiated from SEX CHARACTERISTICS, anatomical or physiological manifestations of sex, and from SEX DISTRIBUTION, the number of males and females in given circumstances. Factor, Sex,Factors, Sex,Sex Factor
D016019 Survival Analysis A class of statistical procedures for estimating the survival function (function of time, starting with a population 100% well at a given time and providing the percentage of the population still well at later times). The survival analysis is then used for making inferences about the effects of treatments, prognostic factors, exposures, and other covariates on the function. Analysis, Survival,Analyses, Survival,Survival Analyses

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