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  • 1
    Online Resource
    Online Resource
    Japan Society of Histochemistry & Cytochemistry ; 1989
    In:  ACTA HISTOCHEMICA ET CYTOCHEMICA Vol. 22, No. 6 ( 1989), p. 738-747
    In: ACTA HISTOCHEMICA ET CYTOCHEMICA, Japan Society of Histochemistry & Cytochemistry, Vol. 22, No. 6 ( 1989), p. 738-747
    Type of Medium: Online Resource
    ISSN: 0044-5991 , 1347-5800
    Language: English
    Publisher: Japan Society of Histochemistry & Cytochemistry
    Publication Date: 1989
    detail.hit.zdb_id: 2106630-9
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  • 2
    In: European Journal of Haematology, Wiley, Vol. 104, No. 6 ( 2020-06), p. 526-537
    Abstract: Myelodysplastic syndromes (MDS), caused by various genetic mutations in hematopoietic stem cells, are associated with highly variable outcomes. Poly (ADP‐ribose) polymerase‐1 (PARP1) plays an important role in DNA damage repair and contributes to the progression of several types of cancer. Here, we investigated the impact of PARP1 V762A polymorphism on the susceptibility to and prognosis of MDS. Methods Samples collected from 105 MDS patients and 202 race‐matched healthy controls were subjected to polymerase chain reaction‐restriction fragment length polymorphism for genotyping. Results The allele and genotype frequencies of PARP1 V762A did not differ between MDS patients and the control group. However, MDS patients with the PARP1 V762A non‐AA genotype, which is associated with high gene activity, had shorter overall survival rates ( P  = .01) than those with the AA genotype. Multivariate analysis of overall survival also revealed PARP1 V762A non‐AA genotype as a poor prognostic factor ( P  = .02). When patients were analyzed according to treatment history, the PARP1 V762A non‐AA genotype was only associated with poor survival in patients who had received treatment ( P  = .02). Conclusion PARP1 V762A polymorphism may be an independent prognostic factor for MDS, and a predictive biomarker for MDS treatment.
    Type of Medium: Online Resource
    ISSN: 0902-4441 , 1600-0609
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2027114-1
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  • 3
    In: Langmuir, American Chemical Society (ACS), Vol. 33, No. 45 ( 2017-11-14), p. 12897-12902
    Type of Medium: Online Resource
    ISSN: 0743-7463 , 1520-5827
    RVK:
    Language: English
    Publisher: American Chemical Society (ACS)
    Publication Date: 2017
    detail.hit.zdb_id: 2005937-1
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  • 4
    In: International Journal of Hematology, Springer Science and Business Media LLC, Vol. 103, No. 2 ( 2016-2), p. 219-226
    Type of Medium: Online Resource
    ISSN: 0925-5710 , 1865-3774
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
    detail.hit.zdb_id: 2028991-1
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  • 5
    Online Resource
    Online Resource
    Japan Society of Mechanical Engineers ; 2019
    In:  The Proceedings of Mechanical Engineering Congress, Japan Vol. 2019, No. 0 ( 2019), p. J04310P-
    In: The Proceedings of Mechanical Engineering Congress, Japan, Japan Society of Mechanical Engineers, Vol. 2019, No. 0 ( 2019), p. J04310P-
    Type of Medium: Online Resource
    ISSN: 2424-2667
    Language: English
    Publisher: Japan Society of Mechanical Engineers
    Publication Date: 2019
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  • 6
    In: Journal of Clinical and Experimental Hematopathology, Japanese Society for Lymphoreticular Tissue Research, Vol. 62, No. 4 ( 2022), p. 208-216
    Type of Medium: Online Resource
    ISSN: 1346-4280 , 1880-9952
    Language: English
    Publisher: Japanese Society for Lymphoreticular Tissue Research
    Publication Date: 2022
    detail.hit.zdb_id: 2395568-5
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  • 7
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 3034-3034
    Abstract: Introduction: Soluble-form IL-2 receptor α (sIL-2Rα) has been identified as a significant prognostic biomarker in patients with non-Hodgkin’s lymphoma (NHL) treated using rituximab-containing regimens. However, the clinical significance of sIL-2R is not fully understood, especially in subtypes of NHL, such as follicular lymphoma (FL). In addition to sIL-2Rα, β2-microglobulin (B2M) has been used as a prognostic and diagnostic biomarker of FL. We compared the predictive and diagnostic abilities of sIL-2Rα and B2M for FL. Patients and Methods: We analyzed 305 patients newly diagnosed with FL (Grade1-3a) between January 2001 and July 2012. Levels of sIL-2Rα and B2M were evaluated at diagnosis. The optimal cut-off values of sIL-2Rα and B2M were calculated from receiver operating characteristic (ROC) curves. Overall survival (OS) and progression-free survival (PFS, death from any cause, relapse and refractory disease) were analyzed using Kaplan-Meier methods and survival was compared using log-rank tests. To estimate the survival impact of several factors including sIL-2Rα, B2M, Hb 〈 12g/dl, B symptoms, LDH, bone marrow involvement, bulky disease, extranodal disease and age, we performed multivariate analysis using the Cox proportional hazards model. Results: Median age was 59 years (range: 28-86 years) and the male: female ratio was 1:1. Most (245/305) patients were treated with chemotherapy regimens. Rituximab was concomitantly administered to 227 of these patients (R-Chemo) and 52 of these patients received rituximab maintenance for 2 years. In the 305patients, clinical stage was I in 12.3%, II in 15.1%, III in 24.9%, and IV in 45.9% and the Follicular Lymphoma Prognostic Index was low in 35.7%, intermediate in 27.2% and high in 36.7%. The median follow-up period was 1,516 days (range: 7 - 4,776 days). The median sIL-2Rα value was 1,107.5 U/L (range: 127-20,800 U/L) and the median B2M value was 2.2 mg/L (range: 1.0-10.29). The 3-year OS of the entire population was 87.8% and the 3-year PFS was 65.1%. The percentage of patients whose sIL-2Rα or B2M level was higher than the upper normal limit (520 U/L for sIL-2Rα, 2.0 mg/L for B2M) at diagnosis was higher for sIL-2R (76.8%) than for B2M (54.2%) patients (p 〈 0.0001), indicating that sIL2Rα is more sensitive diagnostic marker for FL than B2M. To estimate the predictive value of sIL-2Rα and B2M for survival, we determined the optimal cut-off levels of sIL-2Rα and B2M using ROC analysis. This analysis showed that sIL-2Rα and B2M values of 1,700 U/L and 2.2mg/Lrespectivelywere the most sensitive and specific values for prediction of a 3-year PFS. Using these values, patients were separated into two significantly different groups of sIL-2Rα values ( 〉 1,700 U/L and ≤1,700 (p 〈 0.0001)) and of B2M values ( 〉 2.2 mg/L and ≤ 2.2 mg/L (p=0.0017)). Further, PFS differed significantly between patients with sIL-2Rα values of 〉 520 U/L and ≤520 U/L, 〉 1,000 U/L and ≤1,000 U/L ,and 〉 2,000 U/L and ≤2,000 U/L (p=0.03, 0.0003 and 〈 0.0001, respectively) and also between patients with B2M values of 〉 2.0 mg/L and ≤2.0 mg/L, 〉 2.5 mg/L and ≤2.5 mg/L, 〉 3.0 mg/L and ≤3.0 mg/L (p=0.011, 0.0016 and 0.0184, respectively). Univariate analysis identified several reported prognostic factors, such as clinical stage3-4, B2M 〉 2.2 mg/L, number of nodal site 〉 5, bone marrow involvement, Hb 〈 12 g/dl, performance status 〈 2, number of extranodal site 〉 1, longest diameter 〉 6 cm ( 〈 0.0001, 0.002, 0.0002, 0.0204, 0.0345, 0.0089, 0.0004 and 0.0053, respectively) in addition to sIL-2Rα (p 〈 0.0001). Cox multivariate analysis indicated sIL-2Rα as a significant prognostic factor (p=0.0361), in addition to several other factors (bone marrow involvement, number of extranodal site 〈 2, number of nodal site 〉 5). In the group treated with the R-chemo regimen, the 3-year OS was 86.9% and the 3-year PFS was 64.9%. Within this group, PFS significantly differed between the two groups of sIL-2Rα; 〉 1,700 U/L and ≤1,700 (p 〈 0.0001), and between two groups with different B2M values 〉 2.2 mg/L and ≤ 2.2 mg/L (p=0.0056). Again, multivariate analysis showed that sIL-2Rα ( 〉 1,700 U/L), in addition to several other factors, was associated with poorer prognosis. Conclusion: This study showed that sIL-2Rα is a more sensitive diagnostic biomarker of FL than B2M. In terms of survival, sIL-2R is an important risk factor of FL, not only for all patients with FL, but also in the R-Chemo era. Disclosures Handa: Celgene: Research Funding; Yakult: Research Funding; Kirin: Research Funding; Chugai: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
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  • 8
    In: Blood, American Society of Hematology, Vol. 132, No. Supplement 1 ( 2018-11-29), p. 3178-3178
    Abstract: Backgrounds and Aims: Matrix metalloproteinase (MMP) is endopeptidase enzyme degrading extracellular matrix, and tissue inhibitor of metalloproteinases (TIMP) is negative regulator of MMP. MMP is well known to be involved in metastatic mechanism of cancer cell and oncogenesis. However expression and role of MMP and TIMP has not been well established in multiple myeloma (MM). Therefore we examined whether expression of MMP and TIMP was involved in progression and prognosis of MM and extramedullary plasmacytoma (EMP) formation. Materials and Methods: Purified bone marrow plasma cells by using anti-CD138 antibody and magnetic beads obtained from 151 MM, 64 MGUS, 18 control and 5 EMP were subjected to the study after informed consent. The study was approved by IRB following Declaration of Helsinki. Whole transcriptome by next generation sequencer (NGS) using Illumina Next Seq 500 was performed in part of the samples to select genes to be studied, then expression level of MMP and TIMP determined by RQ-PCR Delta Ct value normalized with ACTB was used for analysis. MM cell lines KMS11, KMS12PE, KMS12BM, KMM1, RPMI8226, MM1S were used for the in vitro study. Results: We selected TIMP-1, 2and MMP14, 24 based on transcriptome analysis data comparing MM and EMP. The expression level of TIMP1 and MMP24 was significantly higher in MM (median delta Ct: 0.033 for TIMP1, 0.00025 for MMP24) than in MGUS (median delta Ct: 0.013 for TIMP1, 0.00006 for MMP24) (p=0.005, p=0.001), however TIMP2, MMP14 level did not differ in between MM and MGUS. Interestingly, TIMP1, 2 and MMP14, MMP24 were expressed with strikingly higher levels in EMP than in MM with 20 times, 60 times, 300 times, 500 times respectively (p=0.01, p=0.02, p=0.004, p=0.004). Both TIMP1 and 2 expression were higher in the MM patients with high risk cytogenetic karyotype t(4;14), t(14;16), del 17p than in the patients without such karyotype (p=0.006, p=0.008), however the levels of MMP14 and 24 did not differ in between cytogenetic risk groups. Positive correlations were found in between TIMP1 and 2, MMP14 and 24 in both MM and MGUS group respectively (r=0.34, p 〈 0.001, r=0.49, p 〈 0.001 in MM, r=0.32, p=0.008, r=0.63, p 〈 0.001 in MGUS). Since TIMP2 and MMP14 were higher in EMP, the effect of recombinant TIMP2, siRNA-TIMP2 and MMP14 inhibitors marimastat/ilomastat were tested in MM cell lines KMM1, KMS11, KMS12PE and RPMI8226. However, these interventions did not change proliferation rates of these cell lines. The cell lines were treated with doxorubicin or bortezomib to study if these agent can change TIMP and MMP expression. Doxorubicin significantly increased expression level of MMP14, 24 and TIMP1, 2, but bortezomib increased only MMP14, 24. In the newly diagnosed MM (NDMM) patients (n=77), median time of overall survival (OS) of the patients with high TIMP1 (more than median value) was significantly shorter (2.7 years vs not reached) and 3 year OS rate was inferior (40% vs 65%) (p=0.0095). Progression free survival (PFS) tended to be inferior for high TIMP1 group, but the difference did not reach statistical significance (p=0.221). OS and PFS were not different according to either TIMP2, MMP14 or MMP24. Conclusions: Our results suggest that TIMP1, 2 and MMP14, 24 were associated with EMP formation. Among those factors, TIMP1 is the one which may play a key role for MM progression and chemo-resistance based on the results revealing its upregulation by antineoplastic agents and association with poor prognosis of MM patients. Our results is consistent with a previous report describing that high serum TIMP1 concentration was associated with poor prognosis of MM. TIMP is recently shown to play another role besides negative regulator for MMP, so further study to elucidate its specific role for chemo-resistance contributes to develop novel therapy targeting TIMP and MMP pathway. Disclosures Tsukamoto: Kyowa-Kirin: Research Funding; Chugai: Research Funding; Eisai: Research Funding; Pfizer: Research Funding. Handa:Celgene: Honoraria, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria, Research Funding, Speakers Bureau.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2018
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  • 9
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 1486-1486
    Abstract: Abstract 1486 Introduction: Dendritic cells (DCs) play critical roles in the induction and regulation of the innate and adaptive immune responses. Human blood DCs can be classified into plasmacytoid dendritic cell (pDC) and myeloid dendritic cell (mDC). In general, pDC is defined as lineage (Lin)-HLA-DR (DR)+CD123+CD11c-, and mDC is defined as Lin-DR+CD123+CD11c+. PDCs are a specific type of dendritic cells that is found in an immature form in the peripheral blood and that is the major interferon-alpha producing cell in response to viruses. Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare hematological malignancy that has a putative plasmacytoid dendritic cells origin. Unlike blood pDCs, the specific feature of BPDCN is the positive expression of CD56. In addition to these markers, BPDCNs can express various antigens, such as CD2, CD10, CD13, CD33 and even CD11c, that cause immunophenotypical diversity among cases. The goal of this study was to clarify the normal counterpart of BPDCN by analyzing the characteristics of CD56-positive blood Dendritic-like Cells (DLCs). Material and Methods: Human peripheral blood mononuclear cells (PBMNCs) were isolated by gradient centrifugation from healthy volunteers, and CD3, CD14, CD16 and CD19 antibodies were used as a lineage cocktail. We defined CD56+pDC-like cells (pDLCs) as Lin-DR+CD56+CD123+ cells, CD56+mDC-like Cells (mDLCs) as Lin-DR+CD56+CD123-CD11c+ cells, pDCs as Lin-DR+CD56-CD123+CD11c-cells and mDCs as Lin-DR+CD56-CD123+CD11c+cells. In some experiments, cells were purified from PBMNCs using a cell sorter. Sorted cells were analyzed for mRNA levels of toll-like receptors (TLRs), cytokines and transcriptional factors. Phagocytic activity and mixed lymphocyte reactions were analyzed by flow cytometry. Sorted cells were also analyzed after 4–6 days of culture with Fms-like tyrosine kinase 3 ligands (Flt3-L) and granulocyte macrophage colony-stimulating Factor (GM-CSF). Results: PBMCs comprised a small population of each cell type: 0.03% of CD56+pDLCs, 0.35% of CD56+mDLC, 0.93% of pDC 0.93%, and 0.60% of mDC. CD56+pDLCs had oval or U-shaped nuclei with condensed chromatin, and perinuclear halo, which is feature of pDC, was clearly observed in the cytoplasm. CD11c expression in CD56+pDLCs was lower than that in mDCs but higher than that in pDCs. CD56+pDLCs were not Natural Killer (NK) cells, as there was no expression of CD122 or other NK-specific antigens. Meanwhile, CD56+pDLCs had clear expression of BDCA2 and BDCA4, suggesting that this population was closely related to pDCs. Real-time quantitative (RQ) PCR assay revealed that TLRs were expressed in an intermediate level between pDCs and mDCs in CD56+pDLCs (CD56+pDLC vs. pDC vs. mDC: TLR2, 0.17 vs. 0.09 vs. 1.13; TLR4, 0.14 vs. 0.06 vs. 0.53; TLR7, 0.67 vs. 16.70 vs. 0.30; TLR9, 3.73 vs. 72.41 vs. 0.18). Expression of the transcription factors, E2-2, Irf8 and SpiB, in pDCs was higher than that in CD56+pDLCs, but lower than that in mDCs (CD56+pDLC vs. pDC vs. mDC: E2-2, 16.78 vs. 118.69 vs. 1.45; Irf8, 1.73 vs. 9.07 vs. 0.55; SpiB, 0.14 vs. 0.52 vs. 0.02). RQ−PCR after CpG stimulation revealed that CD56+pDLCs had lower interferon–alpha production when compared with pDCs (5.7405 vs. 360.881). Phagocytic capacity of CD56+pDLCs was lower than that of mDC or pDC (1.96% vs. 4.32 % vs. 52.6% for FITC-dextran positive cells in CD56+pDLCs vs. pDCs vs. mDCs). Allogeneic T cells proliferated less efficiently after culture with CD56+pDLCs than they did after culture with pDC. After in vitro culture with Flt3L and GM-CSF, the percentage of BDCA1-positive cells increased from 2.75% to 62.9%. Discussion: CD56+pDLCs were rare population in PBMNCs. Their phenotype and function were similar to pDCs, in part, but they expressed myeloid antigens and had lower function of phagocytosis and cytokine production than pDCs. In vitro culture suggested plasticity in the immunophenotype of CD56+pDLCs when compared with pDC and mDC. Collectively, these data suggest that CD56+pDLCs is a distinct new population of DCs that possesses a high degree of plasticity. These immunophenotypic characteristics and plasticity may influence the immunophenotypic diversity of BPDCNs. 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: 2012
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 10
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 1759-1759
    Abstract: Background: Recent transcriptome-wide analyses have revealed an overwhelming amount of transcribed, but not translated, non-coding RNAs capable of influencing diverse cellular processes such as proliferation, apoptosis, and motility. Long non-coding RNA (lncRNAs), which are commonly defined as transcripts 〉 200 nt in length, have emerged as a class of key regulatory RNA. LncRNAs are deregulated in diverse human cancers and associated with disease progression; however, little is known about its role in multiple myeloma (MM). To elucidate the role of lncRNAs in MM, we studied the expression patterns of several well-known lncRNAs in the plasma cells of MM, MGUS and plasmacytoma patients and the function in MM cell lines in vitro. Moreover, to reveal the distinct lncRNA signature comprehensively, we performed next-generation sequencing-based RNA sequencing. Methods: CD138+ plasma cells from bone marrow (BM) mononuclear cells were obtained from 110 MM patients, 48 MGUS patients, 19 control subjects and 1 patient with extramedullary plasmacytoma of the liver and analyzed after obtaining informed consent from all the patients. The expression levels of lncRNAs MALAT1, ANRIL, HOTAIR, HOTTIP, and XIST were determined by a RQ-PCR analysis. RNase H-activating LNA™ GapmeR antisense oligonucleotides were used to knockdown lncRNA in vitro in MM cell lines. The cell lines were then treated with bortezomib, MG132, doxorubicin and hypoxic conditions to evaluate the effects of cytotoxic stress on the lncRNA expression. This study was approved by the IRB of Gunma University Hospital in accordance with the Declaration of Helsinki. Results: A significant higher level of MALAT1 expression was observed in BM plasma cells of MM patients (4.49) compared to MGUS patients (1.51) and control subjects (0.55) (p 〈 0.001). Strikingly, MALAT1 expression in extramedullary plasmacytoma of the liver was 140-fold higher compared with BM plasma cells obtained at the same time of sampling (433.7 vs 3.21). MALAT1 expression was higher in MM patients with t(4;14) and del 17p (10.05 vs 3.90, p=0.049; 5.22 vs 2.76, p=0.03, respectively), but no difference was observed between stages according to the International Staging System (ISS) (p=0.87). Neither the overall survival nor the progression-free survival differed between patients with high and low MALAT1 expression. ANRIL expression levels were diverse according to the patients (range, 0 to 294.3), however, the median expression was significantly higher in MM patients (p 〈 0.001). HOTAIR and HOTTIP expression levels were not detected in most samples, and XIST expression was found only in female patient samples as expected. Interestingly, the MM cell lines KMS12PE, OPM2, KMS11 treated with bortezomib showed elevated MALAT1 expression by 4.3 -21.8 fold and ANRIL by 2.2-4.7 fold; however, this increase was not observed in bortezomib-resistant cell lines. Another proteasome inhibitor, MG132, and a low dose of the cytotoxic drug doxorubicin also elevated both lncRNAs in the cell lines. Hypoxic stress, which has been shown to induce MALAT1 in vascular cells, did not increase either lncRNA. MALAT1 knockdown by GapmeR did not affect cell proliferation. It has been shown that MALAT1 enhances cell motility of lung adenocarcinoma cells by influencing cell motility associated genes; however, the expression of previously reported affected genes, such as HMMR, CTHRC1 and ROD1, was not altered in the MALAT1 knockdown MM cell lines. Although t(4;14) was associated with a high MALAT1 expression in the patient samples, MMSET knockdown by siRNA did not change the MALAT1 expression in the cell lines, thus MMSET was not a regulator of MALAT1. RNA sequencing of MM and MGUS samples revealed a distinct lncRNA expression signature as well as protein coding genes. Conclusion: Significant upregulation of lncRNAs MALAT1 and ANRIL might be associated with MM progression. Given that MALAT1 is associated with lung cancer metastasis, MALAT1 might be strongly associated with extramedullary plasmacytoma formation due to its high expression in liver plasmacytoma. Genotoxic and ER stress induced by therapeutic drugs might upregulate MALAT1 expression, leading to extramedullary extension, which is a recent problem in MM treatment. Determining the distinct lncRNA signature of MM is a current important issue to clarify the molecular mechanisms underlying MM progression for the development of novel therapies. 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: 2015
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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