The main objective of this study was to investigate whether patients with chronic myeloid leukemia (CML) in treatment with long-term therapy imatinib have a different health-related quality-of-life (HRQOL) profile compared with the general population. In total, 448 CML patients were enrolled, and the SF-36 Health Survey was used to compare generic HRQOL profiles. Symptoms were also assessed. HRQOL comparisons were adjusted for key possible confounders. The median age of patients was 57 years and the median time of imatinib treatment was 5 years (range 3-9 years). The largest HRQOL differences were found in younger patients. In particular, patients aged between 18 and 39 years had marked impairments in role limitations because of physical and emotional problems, respectively: ؊22.6 (P < .001), ؊22.3 (P < .001). Patients with CML age 60 or older had a HRQOL profile very similar to that reported by the general population. Women had a worse profile than men when each were compared with their peers in the general population. Fatigue was the most frequently reported symptom. The HRQOL of CML patients is comparable with that of population norms in many areas, however, younger and female patients seem to report the major limitations. (Blood. 2011;118(17):4554-4560)
Health-related quality of life (HRQOL) is an important goal of therapy for chronic myeloid leukemia (CML) patients treated with current molecular-targeted therapies. The main objective of this study was to investigate factors associated with long-term HRQOL outcomes of CML patients receiving imatinib. Analysis was performed on 422 CML patients recruited in an observational multicenter study. HRQOL was assessed with the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36). Key socio-demographic and clinical data were investigated for their association with HRQOL outcomes. Chronic fatigue and social support were also investigated. Univariate and multivariate linear regression analyses were used to identify independent factors associated with HRQOL outcomes. Fatigue was the only variable showing an independent and consistent association across all physical and mental HRQOL outcomes (P<0.01). Differences between patients reporting low versus high fatigue levels were more than eight and seven times the magnitude of a clinically meaningful difference, respectively, for the role physical (Δ=70 points) and emotional scale (Δ=63 points) of the SF-36. Fatigue did not occur as an isolated symptom and was most highly correlated with musculoskeletal pain (r=0.511; P≤0.001) and muscular cramps (r=0.448; P≤0.001). Chronic fatigue is the major factor limiting HRQOL of CML patients receiving imatinib.
To better define the significance of clonal evolution (CE) including 14q32 translocations involving the immunoglobulin heavy chain gene (IGH) in chronic lymphocytic leukemia (CLL), 105 patients were analyzed sequentially by fluorescence in situ hybridization (FISH) with the following panel of probes: 13q14/D13S25, 11q22/ATM, 17p13/TP53, #12-centromere and 14q32/IGH break-apart probe. CE was observed in 15/105 patients after 24-170 months (median 64). Recurring aberrations at CE were 14q32/IGH translocation in seven patients; other aberrations were 17p -, 11q -, biallelic 13q - and 14q32 deletion. CE was detected in 15/58 pre-treated patients; in contrast, none of 47 untreated patients developed CE (p < 0.0001). In two cases the appearance of 14q32/IGH translocation was first detected in the bone marrow (BM) or in the lymph node (LN) and 13-58 months later in the peripheral blood (PB). ZAP70 + and high-risk cytogenetics predicted for the occurrence of CE with borderline statistical significance (p = 0.055 and 0.07, respectively). Shorter time to first treatment (TTT) and time to chemorefractoriness (TTCR) were noted in 15 patients with CE when compared to patients without CE (TTT: 35 vs. 71 months, p = 0.0033 and TTCR: 34 vs. 86 months, p = 0.0046, respectively). Survival after the development of CE was 32 months (standard error 8.5). We arrived at the following conclusions: (i) 14q32/IGH translocation may represent one of the most frequent aberrations acquired during the natural history of CLL and (ii) it may be detected earlier in BM or LN samples; (iii) CE including 14q32/IGH translocation occurs in pre-treated patients with short TTT and TTCR; (iii) survival after CE is relatively short.
Our data have shown that the estimation of both percentage of LUCs and MPXI can predict the neutropenia phase and orient for its duration. The lymphocyte number may be regarded as a parameter of risk of fever after day 5 of chemotherapy and the number of blood CD34+ cells may be predicted by LUC count.
In this study three assays for the enumeration of CD34+ progenitors were compared: 1) a modified version of the Milan protocol, used in the standard dual-platform format; 2) a dual-platform version of the ISHAGE protocol; 3) the ProCOUNT software version 2.0/ProCOUNT kit. The assays were compared to validate the accuracy of CD34+ cell counts in mobilized peripheral blood (PB), apheresis products (AP), and cord blood (CB). The ProCOUNT protocol uses reference beads for absolute CD34+ cell counting, whereas CD34 counts by other techniques are derived from a separate leukocyte count performed by a hematology analyzer. A good correlation between the ISHAGE and ProCOUNT methods was obtained for estimation of CD34+ counts in PB (n=42 samples analyzed) and AP (n=35)--except for samples having a leukocyte count >25 x 10(9)/L or a CD34 count <0.0025 x 10(9)/L)--while a suboptimal correlation between the methods was observed for CB (n=30). The ProCOUNT system proved to be effective in reducing the variability in CD34+ cell counting and appeared to be useful for intralaboratory methodology standardization. The main disadvantage of the ProCOUNT assay was its inability to calculate CD34 counts in leukopenic samples and in CB samples showing a high erythroblast count. As far as the correlation with hematopoietic colonies is concerned, data collected from apheresis samples showed a good correlation between the three flow cytometry methods and colony-forming unit granulocyte-macrophage (CFU-GM) counts, confirming the value of the flow cytometric test as a real-time, truly predictive test to measure the hematopoietic potential of the graft. In summary, all methods are suitable for enumeration of most PB samples, while the single-platform methodology should be preferred for the analysis of AP and CB. We also found the dual-platform format of the ISHAGE method precise and accurate for the estimation of CD34+ cells from CB samples. Based on these data it can be concluded that the single-platform flow cytometry assay format should be the preferred approach for CD34+ stem cell enumeration in different types of samples.
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