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  • 1
    In: Gastroenterología y Hepatología, Elsevier BV, Vol. 42, No. 6 ( 2019-06), p. 362-371
    Type of Medium: Online Resource
    ISSN: 0210-5705
    Language: Spanish
    Publisher: Elsevier BV
    Publication Date: 2019
    detail.hit.zdb_id: 2122670-2
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  • 2
    In: Breast Cancer Research, Springer Science and Business Media LLC, Vol. 7, No. 2 ( 2005-4)
    Type of Medium: Online Resource
    ISSN: 1465-542X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2005
    detail.hit.zdb_id: 2041618-0
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  • 3
    In: Acta Haematologica, S. Karger AG, Vol. 135, No. 2 ( 2016), p. 94-100
    Abstract: Recurrent translocations are uncommon in myelodysplastic syndromes (MDS). Three new recurrent translocations, namely der(12)t(3;12)(q13;p13), t(11;13;22)(q13;q14;q12) and der(17)t(13;17)(q21;p13), identified by conventional cytogenetics (CC) in 4 MDS patients, were further characterized using a panel of commercial and homemade fluorescence in situ hybridization (FISH) probes. The goal of this study was to determine the precise breakpoints and to identify genes that could be related with the neoplastic process. Half of the breakpoints (4/8) were precisely identified and in the remaining half they were narrowed to a region ranging from 14 to 926 kb. All the studied breakpoints had interstitial or terminal deletions ranging from 536 kb to 89 Mb, and only those 7 Mb were detected by CC. The genes located in or around the breakpoints described in our study have not been previously related to MDS. The deleted regions include the 〈 i 〉 ETV6 〈 /i 〉 and 〈 i 〉 RB1 〈 /i 〉 genes, among others, and exclude the 〈 i 〉 TP53 〈 /i 〉 gene. FISH studies were useful to refine the breakpoints of the translocations, but further studies are needed to determine the role of the involved genes in the neoplastic process.
    Type of Medium: Online Resource
    ISSN: 0001-5792 , 1421-9662
    Language: English
    Publisher: S. Karger AG
    Publication Date: 2016
    detail.hit.zdb_id: 1481888-7
    detail.hit.zdb_id: 80008-9
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  • 4
    In: Open Archaeology, Walter de Gruyter GmbH, Vol. 8, No. 1 ( 2022-06-03), p. 287-295
    Abstract: The introduction and spread of the Neolithic “way of life” in Europe was a process that took several millennia, followed by different rhythms and displayed singularities in each geographic area. It was therefore a very complex phenomenon that, despite highly significant advances in research in recent decades, is yet to be fully understood. To deepen our understanding of the very early stages of the introduction of herding and agriculture throughout the Old Continent, the 1st Conference on the Early Neolithic of Europe was organised in Barcelona on 6–8 November 2019. The conference was a great success with more than 200 participants, creating a stimulating arena to discuss and debate, exclusively, the transition to the Neolithic in Europe. This special issue brings together 52 of the contributions presented in Barcelona, offering an interesting overview of the current state of research across Europe, from the Anatolia to the Algarve, highlighting the geographical, chronological and socioeconomic diversity of the transformation processes involved in the Neolithisation of Europe and providing useful starting points for future research.
    Type of Medium: Online Resource
    ISSN: 2300-6560
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2022
    detail.hit.zdb_id: 2861463-X
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  • 5
    In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 9859-9861
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2022
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 6
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 4262-4262
    Abstract: Introduction The majority of prognostic indexes in CMML include information extracted from bone marrow (BM) evaluation. The blast count in BM in CMML includes the blast and promonocyte percentage. In the extent of our knowledge there are no data evaluating whether both cells have an equivalent prognostic weight for predicting survival. Recent data indicate that an accurate diagnosis of CMML could be established by assessing the monocyte population distribution by flow cytometry and by evaluating its molecular profile by targeted next-generation sequencing in PB. Our aim was to analyze which variables from our series had an independent prognostic value in order to assess if their addition to the most common prognostic scores for CMML, CPSS and Mayo prognostic model (Mayo), contributed to increase their predictive capacity; or if they allowed us to create a new one. Methods One hundred and fifty patients diagnosed with CMML from 1975 to 2019 from a single institution were evaluated. All patients met 2017 WHO criteria. Complete information was available for the following: BM blast percentage, BM promonocyte percentage, PB blast percentage, circulating immature myeloid cells (IMC), presence of Auer rods and complete blood count. The median overall survival (OS) was 35 months (CI 95%: 30-40). We performed univariate and multivariate survival analyses to establish the prognostic weight of each one. Both C-index and Somers'D (Dxy) were used to compare the prognostic accuracy of the different models. Results Patients characteristics are depicted in Table 1. The prognostic impact of the following items was reviewed: BM blasts; BM promonocytes; the sum of BM blasts and promonocytes; proliferative CMML (CMML-P); monocyte count ≥ 5 x 109/L; transfusional dependency; Hb 〈 100 g/L; platelets 〈 100 x 109/L; IMC; PB blasts; abnormal karyotype; spanish cytogenetic risk classification; sex, and dysmegacaryopoiesis, dysgranylopoiesis and dyserythropoiesis according to WHO criteria. In the univariate analysis for the OS only the following demonstrated an adverse impact: sex (women 50.7m vs men 33.4m, P=0.023), PB blasts (39m vs 11m, P 〈 0.001), BM blasts ≥ 10% (35.7m vs 21.6m, P=0.033), Hb 〈 100 g/L (40.9m vs 21.7m, P=0.001), platelets 〈 100 x 109/L (40.9m vs 31.6m, P=0.004), abnormal karyotype (39.4m vs 31.6, P=0.01), spanish cytogenetic risk classification (37.5m vs 5.4m vs 9.2m, P=0.001), monocyte count ≥ 5 x 109/L (31.6m vs 35.7m, P=0.02), and leucocyte count ≥ 13 x 109/L (24.1m vs 39.8m, P=0.005). As shown, we did not observed an adverse impact on OS when assessing the percentage of promonocytes as continuous variable or categorized at 5% or 10% cut-offs. Only PB blasts, Hb 〈 100 g/L and platelets 〈 100 x 109/L maintained their adverse impact in a multivariate cox regression analysis including all the variables that showed an impact in the univariate analysis. These variables maintained their independent prognostic impact when adjusted for sex and age. The Hazard Ratios (HR) were: 2.9, 1.9, 1.7 for PB blasts, Hb and platelets The CPSS and Mayo prognostic model accurately stratified the prognosis in our series, having the last one a higher predictive capacity for the OS (C-index: 0.62 vs 0.65; Dxy: 0.24 vs 0.3). The prognostic accuracy of the CPSS improved when the platelets were added (CPSS-P) (C-index 0.63; Dxy: 0.26). Given the prognostic weight of the three values described, we developed a score based on these: platelets 〈 100 x 109/L, 0.5 points; Hb 〈 100g/L, 1 point, and PB blasts, 2 points. The MAR score (Figure 1) segmented the series in three risk categories with significant differences in OS: low (0 points), median OS 54m; intermediate (0.5-1 points), median OS 33m; and high (1.5-3.5 points), median OS 15m. The MAR score showed a better value for C-index (0.66) and Dxy (0.32) than the rest of scores assessed. Conclusions The variables with an independent adverse prognostic value for OS in our series were: Hb 〈 100 g/L, platelets 100 x 109/L and the presence of blasts in PB. The MAR score, a model based on them showed the best predictive capacity for OS in our series. 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: 2019
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 7
    In: Blood, American Society of Hematology, Vol. 132, No. Supplement 1 ( 2018-11-29), p. 5526-5526
    Abstract: INTRODUCTION The diagnosis of chronic myelomonocytic leukemia (CMML) according to WHO 2017 requires the presence of ≥1x109/L and ≥10% of monocytes in peripheral blood (PB). Establish an accurate diagnostic is difficult since many clinical situations present persistent monocytosis. The presence of dysplasia, mainly dysgranulopoiesis, is frequent but not always present in CMML. Cytogenetic aberrations are infrequent in this disease (20-25% of cases). Although 85-90% of CMML patients present at least one mutation in TET2, SRSF2 or ASXL1 genes, the use of NGS panels is not widespread. Furthermore, mutations in these genes are among the most frequently observed in age-related clonal hematopoiesis. Therefore, complementary techniques are required to support the diagnosis of this entity. The study of the peripheral monocyte subsets by flow cytometry (FC) has gained special interest due to a high sensitivity and specificity for the diagnosis of CMML (S = 90.6%, E = 95.1%, Selimoglu-Buet et al., Blood, 2015). An increase in the fraction of classical monocytes (Mo1) to 〉 94% of total monocytes is an event frequently observed in CMML. There are no specific bone marrow (BM) FC panels for the diagnosis of CMML and very few have been validated for the diagnosis of MDS. "Ogata score", the only multicenter validated score in MDS, has not been applied in CMML. The aim of our study was to evaluate the usefulness of FC in PB and BM for the diagnosis of CMML. METHODS Twenty-two CMML were prospectively studied from 02/2016 to 04/2018. Patients' characteristics are summarized in Table 1. Diagnostic procedure consisted of morphological, cytochemical (Perls, myeloperoxidase, nonspecific esterase), cytogenetic and FC studies in BM, and morphological and FC studies in PB. "Ogata Score" was applied in BM samples (Table 2). Aberrant coexpression of CD2, CD7 and CD56 in BM monocytes was assessed. Immunophenotypic maturation profile of the monocytic elements in BM distinguishes: promonocytes (CD34-/CD117-/CD64++/CD14- or dim/CD45+/HLA-DR+++), mature monocytes (CD34-/CD117-/CD64++/CD14++/CD45++/HLA-DR++) and mature monocytes in terminal stage (CD300e+). In PB, the monocytes FC subsets (Mo1, Mo2 and Mo3) were studied, as well as the aberrant coexpression of CD2, CD7 and CD56 (Table 3). RESULTSThe presence of ≥2 aberrations in Ogata Score predicted properly the diagnosis of CMML in all patients analyzed (100% sensitivity). Due to the study design, we could not obtain results about specificity.An increase in Mo1 (classical monocytes) 〉 94% was detected in 18/20 patients (Table 3). This method predicted the diagnosis of CMML with a sensitivity of 91%, a result almost identical to the original study (Selimoglu-Buet et al., Blood, 2015).A good positive correlation was established between the percentage of BM promonocytes detected by morphology and by FC (Rho Spearman 0.61, P = 0.003).A negative correlation was found between the percentage of promonocytes by FC in MO and the expression of CD56 (Rho Spearman -0.612, P = 0.002). Similarly, CD56+ CMML presented a percentage of promonocytes by FC significantly lower than the CD56- CMML group (median: 24.5% (14-40) vs. 41% (23-71), P = 0.005). The expression of CD56 seems to be related to a more mature immunophenotypic profile of the monocytic population. On the other hand, the correlation between the percentage of CD56+ monocytes in BM and PB was almost perfect (Rho Spearman 0.928, P 〈 0.001). CONCLUSION Our findings support the usefulness of flow cytometry in bone marrow and peripheral blood for the diagnosis of CMML. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2018
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  • 8
    In: Blood, American Society of Hematology, Vol. 132, No. Supplement 1 ( 2018-11-29), p. 5520-5520
    Abstract: INTRODUCTION The diagnosis of chronic myelomonocytic leukemia (CMML) according to WHO 2017 requires the presence of ≥1x109/L and ≥10% of monocytes in peripheral blood (PB). Presence of dysplasia is frequent but not always present. Recently, Geyer et al. described olygomonocytic CMML (O-CMML) as those MDS cases with relative monocytosis (≥10% monocytes) and monocyte count 0.5- 〈 1x109/L. The authors showed that molecular signature and outcome of O-CMML were similar to overt CMML, suggesting that this represents an early-phase of dysplastic CMML (D-CMML). The study of peripheral monocyte subsets by flow cytometry (FC) has gained interest for the diagnosis of CMML. As showed by Selimoglu-Buet, the increase in the fraction of classical monocytes (Mo1) to 〉 94% of total monocytes is a highly sensitive and specific diagnostic marker for CMML. We assessed peripheral monocyte subsets by FC in 11 O-CMML cases and compared those with 20 CMML cases, 14 D-CMML and 6 proliferative CMML (P-CMML). In addition, we studied the aberrant expression of CD56, CD2 and CD7 in monocytes. As mentioned, O-CMML may be considered an early-phase of D-CMML and some D-CMML may progress to P-CMML, an entity with an ominous prognosis. We compared the percentage of Mo1 and non-classical monocytes (Mo3) among O-CMML, D-CMML and P-CMML in order to evaluate if a progressive accumulation of Mo1 and a progressive decrease in Mo3 could be appreciated among these entities. In our view, Mo1 could be considered as a marker of tumor burden, while Mo3, formerly considered as a specific type of dendritic cell, could be related with immunosurveillance. In order to reinforce this hypothesis we evaluated if the reduction in Mo3 would be also accompanied by a decrease in plasmocytoid dendritic cells (pDC). METHODS Twenty CMML and 11 O-CMML were prospectively studied from 02/2016 to 04/2018. Patients' characteristics are summarized in Table 1. We performed FC study of monocyte subsets in PB describing Mo1 (CD14bright/CD16-), intermediate monocytes (Mo2) (CD14bright/CD16+) and Mo3 (CD14dim or -/CD16bright). In addition, we assessed the expression of CD56, CD2 and CD7 in monocyte population and quantified pDC (CD123bright/HLA-DR+). Comparisons were evaluated by Chi-Square test, Man-Whitney U-test or by Kruskall-Wallis test as appropriate. RESULTS & DISCUSSION 1) 6/11 (55%) O-CMML showed an increase in the fraction of Mo1 〉 94% of total monocytes. In contrast, 12/14 (86%) D-CMML and 6/6 (100%) P-CMML showed a percentage of Mo1 〉 94% of total monocytes. Considering together all overt CMML, 18/20 (90%) presented Mo1 〉 94% of total monocytes. This result was almost identical to that reported in the original study by Selimoglu-Buet. 2) The median percentage of Mo1 and Mo3 monocytes was statistically different among these three entities (Mo1, p=0,005; Mo3, p=0,002). Table 2. Interestingly, the median percentage of Mo1 (% Mo1) was significantly lower in O-CMML when compared to P-CMML (p=0,004) and a clear trend was observed when compared to D-CMML. In the same way, % Mo1 was significantly lower in D-CMML when compared to P-CMML (p=0,017). Moreover, the median percentage of Mo3 (% Mo3) was significantly higher in O-CMML when compared to P-CMML (p=0,002) and a clear trend was observed when compared to D-CMML. In the same line, % Mo3 was significantly higher in D-CMML when compared to P-CMML (p=0,002). Likewise, the median percentage of pDC (% pDC) was significantly higher in O-CMML when compared to P-CMML (p=0,004). A clear trend was observed when O-CMML was compared with D-CMML, and D-CMML with P-CMML. These data reinforce the hypothesis that progression from O-CMML to D-CMML and P-CMML could be guided by a progressive accumulation of Mo1 ("tumor burden increase") and by a progressive reduction of Mo3 and pDC ("immunosurveillance decrease"). 3) Expression of CD56, CD2 and CD7 in monocytes is depicted in Table 3. No aberrant expression of CD7 was observed in any case. In contrast, CD56 expression was observed in 9/11 O-CMML, 7/14 D-CMML and 5/6 P-CMML. Considering together all overt CMML, 12/20 expressed CD56. CD56 expression in monocytes is a common finding in CMML and has been rarely described in other myeloid disorders. This may be interpreted as another indicator that O-CMML is in the continuum of CMML. CONCLUSIONS O-CMML presents flow cytometric immunophenotypic characteristics in line with overt CMML. These data support that O-CMML is in the biological continuum of overt CMML. 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: 2018
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 9
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 3027-3027
    Abstract: INTRODUCTION: Chronic lymphocytic leukemia (CLL)-like monoclonal B cell lymphocytosis (MBL) is considered a precursor of CLL. It is found in 5-10% of elderly healthy individuals and shows a progression rate to CLL requiring therapy of 1.1% per year. A balance between microenvironmental factors and intrinsic properties of the emerging B cell clone may be decisive for the transition from MBL to CLL, although biomarkers of progression remain unknown. The objective is to describe biological markers (B cell gene expression profiles and serum cytokine levels) that predict progression from MBL to CLL. METHODS: Gene expression profiles of clonal B cells from 14 MBL subjects (median age: 76 years, clonal B cells: 0.5-4.3 x109/L) were evaluated. With a median follow-up from analysis of 59 months (range: 10-77), 3 cases (21.4%) had progressed to CLL Binet stage A at last follow-up (clonal lymphocytosis 〉 5x109/L, range: 6.2-7.9). Clonal B cells (CD19+CD5+) were isolated from peripheral blood by immunomagnetic methods (Miltenyi Biotec). Extracted RNA (RIN 〉 7) was hybridized to GeneChip Human Gene 2.0 ST arrays (Affymetrix). Gene expression profiles were compared between MBL cases that progressed to CLL (P-MBL, n=3) and non-progressive MBL cases (NP-MBL, n=11). Differential gene expression was evaluated employing linear models for microarrays in R, and genes with P 〈 0.05 and Fold Change 〉 1.5 or 〈 -1.5 were considered differentially expressed. To obtain insight into the functional significance of the differential genetic signatures, the Ingenuity Pathway Analysis tool (IPA, QIAGEN) was employed. On the other hand, serum levels of IL1β, IL2, IL4, IL5, IL6, IL8, IL10, IL12, IL15, IL17, IFNα, IFNγ, TNFα, GM-CSF, CCL3, CCL4, CCL19, CXCL9, CXCL10 and CXCL11 were quantified using the U-PLEX Platform (Meso Scale Discovery) and Human CXCL9/MIG Quantikine ELISA Kit (R & D Systems) in 41 MBL subjects (median age: 67 years, clonal B cells: 0.5-4.8 x109/L). With a median follow-up from analysis of 47 months (range: 0-117), 5 of them (12.2%) had progressed to CLL Binet stage A at last follow-up (clonal lymphocytosis 〉 5x109/L, range: 6.4-17.3). Clonal B cells and cytokine levels were compared between P-MBL (n=5) and NP-MBL (N=36). For cytokine levels, the optimal cut-off values to stratify MBL cases according to their progression risk were assessed using the maxstat R package, whereas for clonal B cells a cut-off value of 3.9 x109/L was considered according to the results obtained by Kostopoulos et al (Blood Cancer J, 2017). The effect of different covariates on progression-free survival was evaluated using log-rank test. Cox proportional hazards regression models were performed to assess their independent prognostic value. P 〈 0.05 was considered significant. RESULTS: A total of 455 genes were differentially expressed (250 upregulated and 205 downregulated in P-MBL). IPA predicted an inhibition of apoptosis as well as proteins with tumor suppressor activity (SMARCA4) in P-MBL, besides enhanced bioenergetic processes (transmembrane potential of mitochondria) and anti-inflammatory features (activation of IL13 pathway and decreased chemotaxis of phagocytes and granulocytes) (Table 1). P-MBL displayed increased clonal B cells (4.2 vs. 1.7 x109/L, P=0.003) and levels of IL10 (1.15 vs. 0.9 pg/mL, P=0.087) as well as diminished levels of IL6 (2.04 vs. 3.75 pg/mL, P=0.041). MBL cases with ≥3.9 x109/L clonal B cells, ≥1.08 pg/mL of IL10 and ≤2.04 pg/mL of IL6 had an increased risk of progression to CLL (P 〈 0.001, P=0.006 and P=0.034, respectively) (Figure 1, Table 2). Multivariate analysis for clonal B cells and levels of IL10 maintained significance for both factors (HR=12.8, P=0.013 and HR=10.2, P=0.047, respectively) (Table 2). CONCLUSIONS: 1. P-MBL cases showed an inhibition of the apoptotic pathway and an activation of bioenergetic processes, which may account for the increased clonal B cells observed in this group. 2. P-MBL exhibited enhanced anti-inflammatory features, including augmented levels of the anti-inflammatory cytokine IL10. 3. Increased clonal B cells and IL10 levels predicted a higher risk of progression to CLL, suggesting that an augmented proliferative rate of clonal B cells together with a supporting tumor microenvironment are required for progression from MBL to CLL. ACKNOWLEDGEMENTS. PI11/01621, PI15/00437, 2017/SGR437, Fundació La Caixa, Fundación Española de Hematología y Hemoterapia (FEHH). Disclosures Gimeno: JANSSEN: Consultancy, Speakers Bureau; Abbvie: Speakers Bureau. Rai:Cellectis: Membership on an entity's Board of Directors or advisory committees; Genentech/Roche: Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Membership on an entity's Board of Directors or advisory committees; Pharmacyctics: Membership on an entity's Board of Directors or advisory committees. Abrisqueta:Roche: Consultancy, Honoraria, Other: Travel, Accommodations, expenses, Speakers Bureau; Abbvie: Consultancy, Honoraria, Other: Travel, Accommodations, expenses, Speakers Bureau; Janssen: Consultancy, Honoraria, Other: Travel, Accommodations, expenses, Speakers Bureau; Celgene: Consultancy, Honoraria. Bosch:AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Kyte: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; F. Hoffmann-La Roche Ltd/Genentech, Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Honoraria, Research Funding; Acerta: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; AstraZeneca: Honoraria, Research Funding; Takeda: Honoraria, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
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    detail.hit.zdb_id: 80069-7
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  • 10
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 3029-3029
    Abstract: INTRODUCTION: CXCL9, CXCL10 and CXCL11 (CXCL9-10-11) are closely related cytokines that specifically bind to their receptor CXCR3. They act inducing chemotaxis, proliferation and/or cytotoxicity of CD4+ Th1 and cytotoxic T cells, which express CXCR3. Although the CXCL9-10-11/CXCR3 axis promotes immune activation, their pro- or anti-tumor effects in chronic lymphocytic leukemia (CLL) remain controversial. The aims of this study are: 1. To investigate serum levels of CXCL9-10-11 and the protein expression of their receptor CXCR3, as well as Th1 and cytotoxic gene expression signatures and protein expression of the cytotoxic molecules granzyme B and perforin in peripheral blood (PB) CD4+ T cells of controls, CLL-like monoclonal B-cell lymphocytosis (MBL) and CLL Binet stage A patients. 2. To assess the correlations between all previous parameters. 3. To evaluate Th1, cytotoxic and PD1+ T cell populations during disease progression. METHODS: Samples from 52 MBL subjects, 61 untreated CLL patients (Binet stage A/B [CLL-A/CLL-B]: 53/8) and 31 age-matched controls were employed. Serum levels (pg/mL) of CXCL9-10-11 were measured in 24 controls, 41 MBL and 44 CLL-A patients using Human CXCL9/MIG Quantikine ELISA Kit (R & D Systems) and U-PLEX Platform (Meso Scale Discovery). In addition, cryopreserved PB mononuclear cells from 8 controls, 11 MBL, 10 CLL-A and 8 CLL-B were studied by flow cytometry. Anti-CD3, anti-CD4, anti-granzyme B, anti-perforin, anti-CXCR3 and anti-PD1 antibodies, FVS510 and Fixation/Permeabilization Kit were used for cell staining (BD Biosciences). Protein expression of CXCR3, granzyme B, perforin and PD1 (measured as percentage of positive cells in PB CD4+ T cells) was assessed using FACSCanto II cytometer (BD Biosciences). In addition, purified CD4+ cells from PB (purity≥90%) were isolated by immunomagnetic methods (Miltenyi Biotec) to analyze gene expression in 9 controls, 13 MBL and 14 CLL-A patients. Extracted RNA (RIN 〉 7) was hybridized to GeneChip Human Gene 2.0 ST arrays (Affymetrix). Differential gene expression was evaluated with linear models in R, and genes with P-value 〈 0.05 and |FC| 〉 1.5 were considered differentially expressed. Linear regression and Pearson correlations were calculated to evaluate the relationship between the different components of the CXCL9-10-11/CXCR3 axis (Figure 1). P-values 〈 0.05 were considered significant. RESULTS: MBL subjects showed significantly increased CXCL9-10-11 serum levels as well as CXCR3 protein expression, Th1 and cytotoxic gene expression and perforin protein expression in CD4+ T cells compared to controls. A similar trend was obtained for CLL-A versus controls, although the differences for CXCL10 and cytotoxic proteins did not achieve statistical significance despite their increased levels (Table 1). CXCL9 and CXCL10 serum levels were significantly and strongly correlated with CXCR3 protein expression in CD4+ T cells (r=0.746, P-value=0.001 and r=0.716, P-value=0.002, respectively). Very strong positive and significant correlations were also detected between CXCR3 protein expression and Th1 gene expression in CD4+ T cells (correlation coefficients 〉 0.8 for 6/7 genes). Significant positive correlations were also observed between CXCR3 protein expression and cytotoxic genes as well as granzyme B protein (Table 2). Protein expression of CXCR3 and cytotoxic molecules were similarly increased in the different stages of the disease. However, CLL-B patients displayed an increased percentage of CD4+ T cells expressing PD1 (around 7% in MBL and CLL-A versus 16% in CLL-B), although significance was not achieved (Table 1). CONCLUSIONS: 1. The increased levels of the different components of the CXCL9-10-11/CXCR3 axis in MBL and CLL-A, together with the strong correlations observed, point to an important activation of this molecular pathway in the first stages of the disease. 2. Correlations between CXCR3 and Th1/cytotoxic genes/proteins suggest that the increased Th1/cytotoxic features of CD4+ T cells in MBL and CLL-A are triggered by CXCL9-10-11/CXCR3 stimulation, and might be considered as a potential target for CLL immunotherapy. 3. The lower percentage of PD1+ CD4+ T cells in MBL/CLL-A may allow efficient effector Th1/cytotoxic responses at these stages of the disease. ACKNOWLEDGEMENTS. PI11/01621, PI15/00437, 2017/SGR437, Fundació La Caixa, Fundación Española de Hematología y Hemoterapia (FEHH). Disclosures Gimeno: Abbvie: Speakers Bureau; JANSSEN: Consultancy, Speakers Bureau. Rai:Genentech/Roche: Membership on an entity's Board of Directors or advisory committees; Pharmacyctics: Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Membership on an entity's Board of Directors or advisory committees; Cellectis: Membership on an entity's Board of Directors or advisory committees. Abrisqueta:Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Other: Travel, Accommodations, expenses, Speakers Bureau; Abbvie: Consultancy, Honoraria, Other: Travel, Accommodations, expenses, Speakers Bureau; Roche: Consultancy, Honoraria, Other: Travel, Accommodations, expenses, Speakers Bureau. Bosch:Acerta: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Kyte: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; AstraZeneca: Honoraria, Research Funding; F. Hoffmann-La Roche Ltd/Genentech, Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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