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  • 1
    In: British Journal of Haematology, Wiley, Vol. 167, No. 1 ( 2014-10), p. 139-141
    Type of Medium: Online Resource
    ISSN: 0007-1048 , 1365-2141
    URL: Issue
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    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 1475751-5
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  • 2
    In: Blood, American Society of Hematology, Vol. 118, No. 21 ( 2011-11-18), p. 4603-4603
    Abstract: Abstract 4603 Background Chronic lymphocytic leukemia (CLL) is the most frequent leukemia in the Western world with an annual incidence of 5/100,000. The clinical course of the disease is highly variable; while some CLL patients experience a stable clinical course that will never affect their morbidity or mortality, some of them will eventually progress and require chemotherapy. In addition to the traditional prognostic markers (e.g. Rai and Binet staging systems), more recently, mutational status of the variable regions of the immunoglobulin heavy chains (IgVH), chromosomal aberrations, CD38 expression and Zeta-chain-associated protein kinase 70 (ZAP-70) expression are used to better determine the prognosis in CLL patients. A novel CLL-specific gene, CLL Up-regulated gene 1 (CLLU1) that uniquely overexpressed in CLL patients, was recently demonstrated. It has been shown that CLLU1 mRNA expression levels in CLL patients predict time to initiation of therapy as well as overall survival (OS), and CLLU1 is highly up-regulated in poor-risk groups. The aim of this study is to investigate the relationship between CLLU1 levels and well known prognostic parameters and, to determine the importance of CLLU1 gene on prognosis and clinical course in our CLL patients. Methods 116 (46 female, 70 male) CLL patients who consecutively visited our outpatient clinic between May 2009 and March 2010 were enrolled in the study. Median age was 60 years (range, 30–87 years). Blood samples were drawn from the patients for CLLU1 determination, and CLLU1 levels were determined by RT-PCR method. CLLU1 expression level was counted both in CLL patients and healthy B cells as the difference between CLLU1 and abl (taken as an house keeping gene) gene. Then, they are transformed as folds which is the ratio between CLLU1 level in CLL patients and that in healthy B cells. Patients with CLLU1 expression exceeding the CLLU1 expression of normal (CD19+) B-cells were taken as positive. Each patient was followed for at least one year for survival data. For the statistical analysis, student’s t-test, Mann-Whitney U test and Pearson correlation were used. p 〈 0.05 was considered as statistical significant. The study was approved by the local research ethics committee, and written informed consent was obtained from the patients. Results There was no relationship between CLLU1 levels and, sex, age, modified RAI and BINET stages, lymphocyte counts and LDH levels at the time of diagnosis. Patients with nodular bone marrow infiltration had lower CLLU1 levels than patients with non-nodular infiltration (57.6 vs 498). Patients with high β2 microglobulin levels had higher CLLU1 levels than the ones with low β2 microglobulin levels (356.7 vs 13.6, p 〈 0.05). ZAP-70 positive patients had higher CLLU1 levels than ZAP-70 negative patients (217.2 vs 10.2, p=0.007) (Figure 1). Among the patients with CD38 levels studied (n=53) CLLU1 levels were higher in patients with CD38 levels above the median value than patients with CD38 levels below the median value (438.4 vs 42.2). CLLU1 levels were higher in cases who needed treatment than cases without treatment. Patients with a shorter time to treatment had higher CLLU1 levels than patients with a longer time to treatment (p=0.028) (Figure 2). Conclusion With a limited number of patients we could demonstrate that CLLU1 levels correlated with β2 microglobulin levels and ZAP-70. Although there were similar findings also with CD38 levels; the association was not statistically significant due to the limited number of cases. Time to treatment was shorter in patients with CLLU1 levels above the median value than patients with CLLU1 levels below the median value. CLLU1 is a promising and specific new prognostic parameter in patients with CLL, and further studies in larger series are needed to define the impact of CLLU1 in the prognosis and clinical course of CLL patients. Disclosure This study was supported by Istanbul University Research Fund. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2011
    detail.hit.zdb_id: 1468538-3
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  • 3
    In: Leukemia & Lymphoma, Informa UK Limited, Vol. 55, No. 12 ( 2014-12), p. 2935-2937
    Type of Medium: Online Resource
    ISSN: 1042-8194 , 1029-2403
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2014
    detail.hit.zdb_id: 2030637-4
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  • 4
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 5648-5648
    Abstract: Introduction: Chronic lymphocytic leukemia (CLL) is a heterogeneous disease with variable clinical course. Several studies have been conducted to predict outcome in patients with CLL and also have been going on. A proliferation inducing ligand (APRIL) has been shown to involve in survival and resistance to apoptosis in CLL, and APRIL molecule has been investigated as a prognostic marker in CLL patients. However, there are limited and controversial data regarding APRIL and its impact on prognosis in CLL. We aimed to compare serum APRIL levels in CLL patients with those of age and gender matched healthy subjects, and to investigate the relationship between APRIL and the other common prognostic factors, and to determine whether serum APRIL levels predict time to first treatment in CLL. Methods: After ethical approval and informed consent were obtained, between May and December 2012, venous blood samples were driven from 96 CLL patients’ and 25 healthy controls’, and serum APRIL levels were measured by ELISA. Demographic data and the prognostic markers were obtained from the patients’ files, and patients have been followed for a minimum of 12 months. We tested the correlation between APRIL with the, clinical and biological parameters, and used the log rank test to compare their Kaplan Meier curves. Results: Patients were divided into three groups: Treatment naive (group A, n=49), chemotherapy receiving (group B, n=25) and who had previously received chemotherapy (group C, n=22). Median APRIL level was higher in group A (2.78 vs 1.29; p=0.034) and group C (3.54 vs 1.29; p=0.001) when compared to healthy controls, but was not different in group B (1.56 vs 1.29; p=0.3) (Figure 1). Serum APRIL level in group A was negatively correlated with hemoglobin levels (r=-0.298; p=0.037) and platelet counts (r=-0.321; p=0.025) whereas no correlation with age, Rai and Binet stages, lymphocyte counts, β2-microglobulin and CD38 levels were detected. Group A patients were also divided into 2 subgroups (APRIL levels low, n=20 and APRIL levels high, n=29) using median natural logarithm of serum APRIL level as cut off. April low and high subgroups were similar with respect to demographic data and prognostic factors. Median time to first treatment was not reached in the APRIL low group, but was 104 months in the APRIL high group (p=0.13, log-rank test). Conclusions: Among the treatment naive patients, serum APRIL levels only negatively correlate with hemoglobin levels and platelet counts. These correlations seem to be associated with tumor burden rather than the prognosis, because APRIL levels were not different in chemotherapy receiving patients compared to healthy controls. Since a median survival time could not be reached in the APRIL low group, short follow up time might be an explanation why the APRIL levels did not predict the time to first treatment. In conclusion, our findings let us to think APRIL levels are not a useful marker to predict prognosis in patients with CLL. Figure 1. Median APRIL levels of CLL patients and healthy controls (ng/mL) Figure 1. Median APRIL levels of CLL patients and healthy controls (ng/mL) Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
    detail.hit.zdb_id: 1468538-3
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  • 5
    In: Blood, American Society of Hematology, Vol. 118, No. 21 ( 2011-11-18), p. 5223-5223
    Abstract: Abstract 5223 Background Non-Hodgkin's Lymphoma (NHL) is the most common type of hematopoietic cancers and it constitutes 4% of all cancers. It is the seventh most common type of all cancers in Turkey. The NHL is 1.5 times more common among males and the median age of most subtypes is equal to or more than 50. About 85% of NHL has B cell origin and 5-year overall survival is around 60%. Tumor volume, histology, patient's age and performance, serum lactate dehydrogenase (LDH) and beta-2 microglobulin levels, stage of disease and presence of extranodal disease are related to prognosis of NHL. International Prognostic Index (IPI) includes five of these factors to predict prognosis: patient's age and performance, stage of the disease, serum LDH level, extranodal disease. Methods The aim of this study is to evaluate the responses to actual treatments applied and survival periods of our Diffuse Large B Cell Lymphoma (DLBCL) patients. Non-Burkitt's, aggressive non-Hodgkin's lymphoma records obtained from our hematology department, which belong to the period between January 2000 and May 2011 were retrospectively analyzed. 278 patients diagnosed morphologically/immune-histochemically as CD20 positive DLBCL were included in this study. 153 of 278 paraffin blocks of diagnostic tissue were accessible and two subgroups of DLBCL were determined as Germinal Center B cell (GC) and Activated B cell (AB). From the remaining 125 cases, paraffin blocks of diagnostic tissue could not be accessed 115 cases, so any subgroup could not be determined (ND) and Mediastinal Large Cell Lymphoma (MLCL) were assessed in 10 cases. The subgroups were compared in order to evaluate the survival and also the responses to treatment. In the non-parametric comparison process, we used Mann-Whitney-U test. Results Patient characteristics according to the subgroups are detailed in Table 1. Complete remission was achieved with the first line treatment in 75% of patients and from those, 20% were relapsed at the median of 9 months. Overall Survival (OS) was significantly longer in GC than in AB patients (median OS: 27 vs 24 months, p=0.006). The Time to Relapse (TTR) is two times longer in GC group than in AB group, however this data is not statistically significant (median TTR: 12 vs 5.5 months, p=0.221). Survival curve of ND patients is not significantly different from GC curve (p= 0.436). Nevertheless, AB subgroup survival curve is significantly worse than ND group (p= 0.024, Figure 1). Regarding all patients, IPI predicts the survival of DLBCL independent from subgroups and treatment modalities (p 〈 0.001, Figure 2). The longest survival time is in MLCL patients, nonetheless statistical analysis could not be made because of the small number of patients. Conclusion The data should be analyzed carefully because all data could not be accessed in some patients as this is a retrospective analysis. However, our data is valuable at the point that it reflects “real-life” patient data. Disclosure This study was supported by Istanbul University Research Fund. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2011
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 6
    In: Blood, American Society of Hematology, Vol. 118, No. 21 ( 2011-11-18), p. 1692-1692
    Abstract: Abstract 1692 Background: There has been a remarkable improvement in the management of chronic myeloid leukemia (CML) after imatinib mesylate (IM) became available in the market, but there is still a group of patients who are resistant to imatinib. Although point mutations in the BCR-ABL kinase domain is the most common mechanism for resistance in patients with CML receiving tyrosine kinase inhibitor (TKI) therapy, there are several mechanisms that can play a role in the resistance to TKIs. Multi drug resistance gene (MDR1) [ABCB1 (ATP-binding cassette, sub-family B (MDR/TAP), member 1) ] product is an ATP-driven efflux pump contributing to the pharmacokinetics of drugs that are P-glycoprotein (P-gp) substrates and to the multidrug resistance of cancer cells. More than 50 single nucleotide polymorphisms (SNPs) have been identified concerning the MDR1 gene, and SNP polymorphisms may affect the expression and function of the P-gp. The SNPs T1236C, G2677T/A, and C3435T are the most common variants in the coding region of ABCB1. Imatinib is a substrate of P-gp-mediated efflux, and P-gp mediated drug efflux can play a role in IM resistance. So identifying these SNPs may allow to predict the drug disposition and responses to IM in CML patients. The aim of the study was to identify the C3435T SNP variants, and the associations between MDR1 C3435T polymorphism and IM efficacy in our CML patients. Methods: Between December 2010 and March 2011, 110 chronic phase (CP) CML patients who consecutively visited our outpatient clinic were enrolled in this study. Hematologic, cytogenetic and molecular response patterns to IM as well as the association between MDR1 C3435T polymorphism and responses to imatinib were evaluated in our patient cohort. MDR1 C3435T polymorphisms were detected by real-time polymerase chain reaction (RT-PCR). We could assess complete cytogenetic response (CCyR) and major molecular response (MMR) in one hundred and six patients (96%) among these 110 patients. The differences in genotype frequencies in all patients taking imatinib treatment was determined by using the chi-square test. All tests were two-sided, and p 〈 0.05 was considered as statistical significant. This study was approved by the local research ethics committee, and written informed consent was obtained from the patients. Results: 59 patients were male (54%), and fifty-one were female (46%). Median age was 50.5 years (range, 19–84 years). 37.6% of the patients were low, 45% were intermediate, and 17.4% were high risk according to Sokal risk score. The CCyR rate was 71%, and MMR rate was 60%. The frequencies of MDR1 3435 CC, CT, and TT genotypes were 22.5%, 55%, and 22.5%, respectively. No statistically significant difference was observed between the frequencies of the genotypes according to gender. The CCyR rates in patients with CC, CT, and TT genotypes were 88%, 62%, and 75%, respectively (Figure 1). The patients with CC genotype had significantly higher CCyR rates when compared to patients having CT/TT and CT genotypes (p =0.04 and p =0.023, respectively) (Table 1). The patients with CC, CT, and TT genotypes did not differ significantly between each other regarding the MMR rates. There were no significant difference between the C3435T genotypes and second generation TKI usage regarding both CCyR and MMR. Conclusion: Before starting IM therapy, the individual patientÕs MDR1 gene polymorphism pattern can be important in determining the treatment strategy in patients with CML. Among our patient cohort, the patients with CC genotype had significantly higher CCyR rates than patients with CT/TT and CT genotypes. Up to now, there are a few studies in CML patients with different results regarding MDR1 gene polymorphisms, and since racial differences can be seen in the frequencies of MDR1 gene polymorphisms, further studies in larger series are needed to define the genetic polymorphisms with therapeutic relevance in patients on imatinib. Disclosure: This study was supported by Istanbul University Research Fund. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2011
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  • 7
    In: Blood, American Society of Hematology, Vol. 122, No. 21 ( 2013-11-15), p. 384-384
    Abstract: BCR-ABL1 mutation testing is recommended for chronic myeloid leukemia (CML) patients who have suboptimal response and/or treatment failure with tyrosine kinase inhibitor (TKI) therapy. BCR-ABL1 mutations in the kinase domain (KD) of ABL1 account for at least 40-50% of all TKI resistant cases. Thus, detection of low-level mutations after development of resistance may offer critical information to guide subsequent therapy selection. The current gold standard for BCR-ABL1 mutation detection is Sanger sequencing (SS), which has an analytical sensitivity of approximately 10-20%. In this study, our aim was to detect low level BCR-ABL1 variants in follow up samples of CML patients with TKI resistance using next-generation sequencing (NGS) approach. Methods Eight patients with CML who were resistant to imatinib had been routinely sequenced with SS for BCR-ABL1 KD mutations between December 2009 and December 2012. We then retrospectively analyzed these samples with NGS. RT and long range PCR was performed to amplify BCR-ABL1 fusion transcripts and the PCR products sequenced bidirectional after library preparation. We performed a fusion transcript based BCR-ABL1 mutation assay using Roche 454 amplicon deep-sequencing technology that is suited for detecting low level variants in pooled amplicon samples. Sequencing data was analyzed with GS Amplicon Variant Analyzer (AVA) software, and the variant frequency cut-off was adjusted to 1%. Results Clinical features, sequencing results, and the outcomes of the patients were summarized in Table 1. Four patients were male, and the median age was 37 years (range, 20-60 years). The patients were all in chronic phase at the time of the diagnosis. After imatinib resistance, 4 patients had received dasatinib (DAS), and 2 were given nilotinib (NIL) as second line TKI treatment. The remaining two patients had both received DAS and NIL (Table 1). In a set of 20 clinical samples, at different time points, NGS not only identified all the mutations detected by SS, but additionally identified low level variants present between 1 – 28.12 %. T315I and E255K/V were the most common mutations, which were detected in four patients, both by SS and NGS at the same time points (Table 1). Two patients (patient #1 and #4) had T315I, and they both progressed to blastic phase and died. E255K was detected in patients #2 and #3, and patient #2 had achieved and maintained complete cytogenetic and major molecular responses with 100 mg daily DAS, whereas patient #3 had received both NIL and DAS, but she was deceased due to myeloid blastic crisis. Among 4 patients (patients #5, #6, #7, and #8), mutation analysis was performed at eleven different time points, and these patients were wild-type with SS. We also did not detect any clinically significant mutations in these patients by NGS. Most probably mechanisms other than KD mutations were responsible for the TKI resistance among these four patients. Conclusions Polyclonal mutations in BCR-ABL1 KD are commonly identified in TKI resistant patients. Thus, detection of low-level mutations after development of resistance offers critical information to guide subsequent therapy selection. An inappropriate kinase inhibitor selection could highly increase the risk of treatment failure with clonal expansion of the resistant mutant. In our imatinib resistant cohort, we detected low level variants accompany to known mutations which may constitute background genetic variations. Although we had expected to detect mutations earlier by NGS (i.e. before these mutations can be detected by SS), we did not observe such finding in our patients. The patients' samples may not show a stable mutation spectrum between time points. Hence, it is not always possible to spot a mutation before patients show resistance to therapy. Regular NGS analysis might detect these mutations in earlier phases, which might help clinicians to choose the most suitable individual treatment modality for the patients. Acknowledgment The authors would like to thank the Interlaboratory Robustness of Next-generation sequencing (IRON) Phase II study group members, especially to Simona Soverini and Alexander Kohlmann who designed BCR-ABL primers and plates. We also would like to thank the Research Fund of the Istanbul University (Project no. 24244) and Turkish Society of Hematology for supporting the study. Disclosures: Sayitoglu: Roche Diagnostics: Research Support Other.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2013
    detail.hit.zdb_id: 1468538-3
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  • 8
    In: Turkish Journal of Hematology, Galenos Yayinevi, Vol. 31, No. 4 ( 2014-12-05), p. 374-380
    Type of Medium: Online Resource
    ISSN: 1300-7777
    Language: Unknown
    Publisher: Galenos Yayinevi
    Publication Date: 2014
    detail.hit.zdb_id: 2060411-7
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  • 9
    In: ISRN Hematology, Hindawi Limited, Vol. 2013 ( 2013-07-30), p. 1-9
    Abstract: The aim of this single-center, retrospective study was to investigate the impact of rituximab, reconsider the validity of International Prognostic Index (IPI), and evaluate the prognostic role of the cell of origin (CoO) in a relatively young cohort. Three hundred twelve diffuse large B cell lymphoma patients (median age: 52) were included. Rituximab significantly improved the 3- and 5-year progression free survival (PFS) (70% versus 65% and 41% versus 36%, resp.; P 〈 0.001 ) but led only to a slight, insignificant increase in 3- and 5-year overall survival (OS) (71% versus 77.3% and %67 versus 74.5%, resp.; P = 0.264 ). In the young, low risk patient subgroup (aaIPI = 0 & 1; n = 129 ), rituximab improved 3- and 5-year PFS and OS rates ( P 〈 0.001 and P = 0.048 , resp.). The efficacy of rituximab in young high risk patients was comparable to the literature. CoO data were available in 190 patients. The OS at 3 years was 79% for GC and 64% for non-GC subgroups ( P = 0.014 ). To the best of our knowledge, this is the first study which investigated the impact of R-CHOP in the context of CoO and IPI in a relatively young cohort. CoO was not an independent risk factor for prognosis in the multivariate analysis although patients with GC showed a significant survival advantage in the univariate analysis. CoO was also found to be a significant determinant of response in refractory/relapsed patients. Our results confirm the efficacy of rituximab in low and high risk, young patients outside of a randomized clinical trial setting.
    Type of Medium: Online Resource
    ISSN: 2090-4428
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2013
    detail.hit.zdb_id: 2589534-5
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  • 10
    In: Leukemia Research, Elsevier BV, Vol. 38, No. 7 ( 2014-07), p. 781-787
    Type of Medium: Online Resource
    ISSN: 0145-2126
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
    detail.hit.zdb_id: 2008028-1
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