Previous studies have demonstrated a modest association between smoking and leukemia particularly for myeloid disorders. Our objective was to examine whether changing trends in cigarette smoking prevalence nationally and within selected states parallel similar trends in mortality from leukemia. Trends in national smoking rates were correlated with trends in leukemia mortality rates obtained from the Centers for Disease Control and Prevention and the Surveillance Epidemiology and End Results registry, respectively. State-specific correlations were assessed from 1984 to 2004 using smoking prevalence data from the Behavioral Risk Factor Surveillance System and leukemia mortality data from National Vital Statistics System. Correlations were computed using the Spearman rank correlation coefficient. Leukemia mortality decreased overall in the United States in parallel with decreased smoking. Analyzed on a state-specific basis, leukemia mortality decreased in states where smoking rates declined markedly but remained unchanged where smoking prevalences were relatively stable. The findings suggest that declining rates of leukemia mortality are associated with changing patterns of smoking behavior.
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http://dx.doi.org/10.1007/s00277-010-0957-6 | DOI Listing |
Cancer Med
February 2025
Department of Hematology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Background: Bilirubin has anti-inflammatory, antioxidant, and anti-cancer properties, with an inverse relationship between its levels and cancer risk and prognosis. However, the prognostic value of serum bilirubin in acute myeloid leukemia (AML) remains uncertain.
Methods: This retrospective study analyzed pretreatment serum total bilirubin (TBIL), direct bilirubin (DBIL), and indirect bilirubin (IBIL) in 284 AML patients and 316 healthy controls.
J Inflamm Res
January 2025
Department of Hematology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan Province, People's Republic of China.
Background: Sepsis is a severe complication in leukemia patients, contributing to high mortality rates. Identifying early predictors of sepsis is crucial for timely intervention. This study aimed to develop and validate a predictive model for sepsis risk in leukemia patients using machine learning techniques.
View Article and Find Full Text PDFClonal hematopoiesis of indeterminate potential (CHIP) is associated with increased mortality and malignancy risk, yet the determinants of clonal expansion remain poorly understood. We performed sequencing at >4,000x depth of coverage for CHIP mutations in 6,986 postmenopausal women from the Women's Health Initiative at two timepoints approximately 15 years apart. Among 3,685 mutations detected at baseline (VAF ≥ 0.
View Article and Find Full Text PDFIntroduction: Understanding differences in clinical outcomes between PBSCT and BMT is important, and this study compared outcomes of HLA-matched related PBSCT and BMT using reduced-intensity conditioning (RIC) in adult acute myeloid leukemia (AML) patients.
Methods: Data from 402 patients who underwent either PBSCT ( = 294) or BMT ( = 108) between 2000 and 2022 were analyzed using the Japanese nationwide registry database. The primary endpoint was overall survival (OS), and secondary endpoints included disease-free survival (DFS), non-relapse mortality (NRM), and GVHD.
Cancer Med
February 2025
Istituto di Ematologia "Seràgnoli", IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Background: The management of acute myeloid leukemia (AML) is hindered by treatment-related toxicities and complications, particularly cytopenia, which remains a leading cause of mortality. Given the pivotal role of the gut microbiota (GM) in hemopoiesis and immune regulation, we investigated its impact on hematologic recovery during AML induction therapy.
Methods: We profiled the GM of 27 newly diagnosed adult AML patients using 16S rRNA amplicon sequencing and correlated it with key clinical parameters before and after induction therapy.
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