GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Biology of Blood and Marrow Transplantation, Elsevier BV, Vol. 24, No. 3 ( 2018-03), p. S310-S311
    Type of Medium: Online Resource
    ISSN: 1083-8791
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 3056525-X
    detail.hit.zdb_id: 2057605-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    American Society of Hematology ; 2019
    In:  Blood Vol. 134, No. Supplement_1 ( 2019-11-13), p. 3605-3605
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 3605-3605
    Abstract: Background: Acute Myeloid Leukemia (AML) is an aggressive hematologic malignancy with known immune dyregulation. In addition to their capacity to rapidly divide, AML cells directly inhibit the activation and proliferation of immune cells in culture. Immunosuppressive features observed in the bone marrow of AML patients include upregulation of Tregs and production of immunosuppressive cytokines (e.g., TGFβ). Irradiating AML cells diminishes their immunosuppressive capacity while maintaining antigen presentation, leading to increased activation of T cells in co-culture. We subsequently identified the immune checkpoint LAG3 as an important mediator of AML-induced immunosuppression and LAG3 modulation as potential treatment strategy. Methods: Normal PBMC were isolated from healthy donors. PBMC were co-cultured with non-irradiated and irradiated (40 Gy) human AML cell lines (Kasumi1 (K1), THP1) separately at a 1:2 ratio. On day 3 of co-culture, immunophenotypic characterization of T cells was performed on a flow cytometer using the following surface markers: CD3, CD4, CD8, CD25, CD137, CD154, PD-1, TIM3, TIGIT, and LAG3 and intracellular IFNg and FOXP3. Supernatant from co-culture media were analyzed for cytokine (IL-2, IL-6, IL-10 & TGFβ) secretion by ELISA. CFSE-labeled AML cells were incubated with healthy donor PBMCs in the presence or absence of LAG3, then viability was measured by 7-ADD on flow cytometry. PBMCs were also isolated from AML patients' peripheral blood and mononuclear cells were isolated from their respective bone marrow samples. Primary AML cultures were established in RPMI complete media with 20% FBS. CFSE-7-ADD killing assay was conducted after incubation of AML cells with autologous PBMCs. Results: Healthy donor PBMC co-cultured with irradiated K1 AML cells showed higher intracellular IFNg expression (11.8% ± 3.1 v. 7% ± 3.3; n=7, P=0.012) and higher CD137 expression (9.3% ± 1.21 v. 5.7% ± 3.4; n=7, P & lt;0.001) on CD8+ T cells, and higher CD154 expression on CD4+ cells (44.7% ± 20.3 v. 26.3% ± 14.2; n=5, P=0.002) when compared to the non-irradiated K1-PBMC co-cultures. There were fewer Tregs (CD4+ CD25+ FOXP3+) in the PBMC co-cultured with irradiated K1 cells (1.96% ± 0.37 v. 3.39% ± 0.58; n=4, P=0.03) compared to the non-irradiated K1-PBMC co-cultures. LAG3 expression on CD8+ T cells co-cultured with irradiated K1 was decreased (11.8% ± 2.4 v. 17.5% ± 2.5; n=4, P=0.002) compared to the PBMC co-cultured with non-irradiated K1 cells. No other changes in checkpoint expression on CD8+ T cells were observed. No changes were observed in MHCI or PDL1 expression on non-irradiated K1 AML cells before or after co-culture with PBMC. We observed similar findings with healthy donor PBMC co-cultured with a different AML cell line, THP1; CD137 expression was higher on CD8+ T cells (17.6% v. 6.5%; P=0.02, n=3). ELISA of the supernatant of culture media showed higher mean OD for secreted TGFβ in the non-irradiated AML co-cultures compared to the irradiated AML co-cultures at 6 hours (2.5 v. 2.0, P=0.03, n=3) and 72 hours (7.9 v. 5.3, P=0.04, n=3). Adding anti-LAG3 antibody (3DS223H; 100 µg/ml) to PBMC co-cultured with non-irradiated AML cells resulted in higher IFNg (16.3% v. 6.6%, P=0.01, n=4) and CD137 expression (6.5% v. 4.1%, p=.007, n=4) on CD8+ cells and fewer Tregs (1.7% v. 3.8%, P=.04, n=4) compared to no antibody added. Healthy donor PBMC (n=3) were incubated with CFSE labeled AML cells (K1 and THP1) separately at an effector:target ratio of 5:1. The addition of anti-LAG3 antibody lead to increased killing of both K1 and THP1 AML cells at 4 and 24 hours (Figure 1A). To eliminate the HLA mismatch effect, we incubated PBMC from AML patients with autologous AML cells in the presence or absence of anti-LAG3 (Figure 1B). MHC-I blocking (W6/32, 30 µg/ml) lead to inhibition of cell mediated killing in the presence of anti-LAG3 (Figure 1B). Conclusion: In this in vitro model, AML cells showed immunosuppressive features with decreased activation of CD8+ T cells, upregulation of Tregs, increased secretion of TGFβ and higher expression of LAG3 on CD8+ T cells. Antibody blocking of LAG3 mitigated this effect, resulting in increased activation of T cells, fewer T regs and improved MHC-I-mediated killing against AML cells. These results demonstrate that the immunosuppressive effects of AML cells can be modulated through inhibition of LAG-3, suggesting a potential strategy for future combination therapy in AML. Disclosures Lin: Jazz Pharmaceuticals: Honoraria; Pfizer: Membership on an entity's Board of Directors or advisory committees.
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    In: Biology of Blood and Marrow Transplantation, Elsevier BV, Vol. 24, No. 3 ( 2018-03), p. S262-S263
    Type of Medium: Online Resource
    ISSN: 1083-8791
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 3056525-X
    detail.hit.zdb_id: 2057605-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. e19001-e19001
    Abstract: e19001 Background: Surveillance scans performed after autologous stem cell transplant (AutoSCT) for patients with relapsed/refractory (RR) diffuse large B Cell lymphoma (DLBCL) have no proven survival benefit. We studied survival differences among patients with RR DLBCL post AutoSCT whose recurrences were detected on clinical history and exam, versus those detected on routine surveillance scan. Methods: We retrospectively identified 139 patients from our institutional database with DLBCL who underwent AutoSCT from 2000 to 2014. All patients had surveillance scans performed at days 100, 180 and at 1-year post AutoSCT. Results: Among the 139 patients with RR DLBCL that underwent AutoSCT, 37 relapsed, of which 21 were clinical and 16 radiological. There were no statistically significant differences in patient characteristics, although more patients in the clinical cohort had extra-nodal and bulky disease (Table 1). The median time to progression was 167 days for the clinical cohort and 565 days for the radiological cohort (p= 0.03). Median follow-up was 587 days for the clinical cohort and 1503 days for the radiological cohort (p=0.002). Median overall survival (OS) was 587 days for the clinical cohort, and was not reached for the radiological cohort (p=0.006). Conclusions: In our review, most patients with relapsed DLBCL after AutoSCT were diagnosed clinically. Patients whose relapse was diagnosed clinically were likely to be detected earlier and have a shorter OS. Our data indicates that patients with aggressive disease may be detected when clinically relevant, regardless of scanning. Given the known risks of excess radiation exposure, our data suggests that routine scanning may not be necessary in the majority of patients with DLBCL following AutoSCT. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 5743-5743
    Abstract: Allogeneic stem cell transplantation (SCT) is a potentially curative treatment for MDS. Besides the innate heterogeneity of MDS, intensity of the conditioning regimen (myeloablative (MAC) versus reduced intensity/non-myeloablative (RIC)), specific agents used in conditioning, donor and source of stem cells and GVHD prevention regimens further influence outcomes. We sought to determine how conditioning regimens influenced MDS subgroup cohort outcomes. We retrospectively analyzed outcomes of 107 MDS patients (63 male and 44 females) with median age 61.8 (17-73 years) who underwent allogeneic SCT at our institution between 2008 and 2017. For the purposes of this report, patients were grouped according to WHO classification into non-RAEB (RCMD, RA, RARS RCUD or 5q deletion, n=49) and RAEB (RAEB1 and RAEB2, n=58) categories. Median time from MDS diagnosis to transplantation was 139 days (20-3175). No patients were in complete remission (CR) at time of SCT. Allogeneic donor types were matched related, matched unrelated, haplo-identical and cord blood in 30, 65, 10 and 2 patients, respectively. Stem cell source was peripheral blood (91 patients) and bone marrow in 14. Forty patients (median age 52.2 (17-61) years) underwent MAC and 67 (median age 63.7 (23-73) years) RIC. Twelve patients died within 100 days of transplantation, 3 due to disease progression, 5 to acute GVHD, and 4 to other transplant-related causes. Median overall survival (OS) for all 107 patients was 1.3 years with 54%, 47% and 40% alive at 1, 2 and at 5 years. OS was slightly higher in patients undergoing RIC with OS of 57%, 48% and 40% (median 1.532 years) versus 50%, 40% and 38% with MAC (median 0.92 years) at the same time points (p 〉 0.1). Median OS of the 49 patients with non-RAEB and 58 patients with RAEB MDS was 3.01 years versus 0.92 years (p 〉 0.1). GVHD was the most frequent cause of death (46%), followed by relapse/progression (28%), infection (14%) and other (12%). Of 29 patients undergoing RIC with non-RAEB MDS, median OS was 3.78 years while for 38 RAEB patients it was 1.17 years (p 〉 0.1). See table for OS according to conditioning regimen and WHO classification. For MAC, in 20 non-RAEB patients median OS was 2.2 years while the median OS was 0.69 years for 20 RAEB patients (p 〉 0.1). CR after SCT was achieved in 57 patients (53%), 33 receiving RIC (CR 49.2%) and 24 receiving MAC (CR 60%). Seven patients subsequently relapsed, 4 RIC and 3 MAC. Of the non-RAEB patients achieving CR, median OS in the 16 patients treated with 111 RIC was not reached and in 14 patients receiving MAC, median OS was 3.75 years (p 〉 0.1). For the 27 RAEB patients achieving CR, median OS was 4.4 years in 17 patients treated with RIC versus not reached in 10 patients treated with MAC. Overall, death in non-RAEB patients occurred in 26/49 (53%) compared to 38/58 (66%) RAEB patients and in 40/67 (59%) patients undergoing RIC versus 25/40 (63%) MAC patients (p 〉 0.5). The hematopoietic transplant comorbidity index did not predict OS outcomes in these MDS patients (p 〉 0.1) and the cytogenetic score according to the IPSS-R "very good -very poor" groups indicated no differences in OS in the non-RAEB patients but in RAEB patients significant differences according to the cytogenetic score was evident (P 〈 0.01). Conclusions: In this retrospective analysis of MDS patients undergoing allogeneic SCT, achieving CR led to improved survival. In non-RAEB MDS patients achieving CR, OS was similar irrespective of conditioning intensity (RIC or MAC). Furthermore, outcomes did not differ in RAEB patients who achieved CR according to intensity of conditioning regimen. However, those receiving MAC had not reached median OS at 5 years. The outcomes in this analysis indicate that improvement in the incidence of deaths due to GVHD would likely have the greatest impact in improving survival in MDS patients undergoing allogeneic transplantation. Table Disclosures Abhyankar: Therakos: Other: Consulting, Speakers Bureau; Incyte: Speakers Bureau. Lin:Jazz Pharmaceuticals: Honoraria; Pfizer: Membership on an entity's Board of Directors or advisory committees. Yacoub:Incyte: Consultancy, Speakers Bureau. Ganguly:Kite Pharma: Honoraria, Other: Advisory Board; Seattle Genetics: Speakers Bureau; Janssen: Honoraria, Other: Advisory Board; Daiichi Sankyo: Research Funding. McGuirk:Pluristem Ltd: Research Funding; Gamida Cell: Research Funding; Kite Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bellicum Pharmaceuticals: Research Funding; Astellas: Research Funding; Fresenius Biotech: Research Funding; Novartis: Research Funding; Juno Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; ArticulateScience LLC: Other: Assistance with manuscript preparation.
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    In: Biology of Blood and Marrow Transplantation, Elsevier BV, Vol. 24, No. 3 ( 2018-03), p. S133-S134
    Type of Medium: Online Resource
    ISSN: 1083-8791
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 3056525-X
    detail.hit.zdb_id: 2057605-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...