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  • 1
    In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 13176-13177
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2022
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    detail.hit.zdb_id: 80069-7
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  • 2
    In: Clinical Lymphoma Myeloma and Leukemia, Elsevier BV, Vol. 23 ( 2023-09), p. S508-
    Type of Medium: Online Resource
    ISSN: 2152-2650
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2540998-0
    detail.hit.zdb_id: 2193618-3
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  • 3
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2023
    In:  Journal of Clinical Oncology Vol. 41, No. 16_suppl ( 2023-06-01), p. e20056-e20056
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 41, No. 16_suppl ( 2023-06-01), p. e20056-e20056
    Abstract: e20056 Background: Multiple myeloma (MM) is a plasma cell neoplasm that accounts for approximately 10% of all hematologic malignancies. Molecular investigations have identified a wide heterogeneity in MM at the genomic and epigenomic levels, often with IgH translocations and trisomies seen early in the pathogenesis. Etiological factors, though, are still not well characterized. Agent Orange (AO) was a herbicide widely used as a defoliant by the U.S. military during the Vietnam War. Studies have indicated a probable causative link between exposure to AO and the development of multiple myeloma; in fact, MM is now recognized by the VA as a service-connected diagnosis. However, there have been few small studies addressing whether there are any unique molecular findings in AO associated MM. We sought to determine if there were any specific myeloma FISH abnormalities seen in AO associated MM and if there were any differences in their respective survival. Methods: We included all patients diagnosed with MM from 2010-2022 at Louis Stokes VA Medical Center (Cleveland, OH). Data collected included: age, sex, race, year of diagnosis, AO exposure, bone marrow biopsy results and myeloma FISH panel results. We defined high risk MM based on the presence of t(14;16), t(14;20), del 17p/TP53 or gain 1q. Overall survival (OS) was calculated from date of diagnosis to death. Results: We included 162 patients with MM, among them 32 had AO exposure. There was no significant difference in age or race between exposed and non-exposed patients. MM FISH results were available for 137 patients. Overall, 20% of patients had high risk group cytogenetics and there was no significant difference based on AO exposure. However, there was a trend for increased TP53 mutations in those exposed to AO, although this did not reach statistical significance (8% vs. 3.6%, p = 0.3). Median OS was 72 months for non-exposed patients and 98 months for exposed patients, with no significant difference observed (p = 0.18). Conclusions: In this single institution, retrospective study, AO exposure was not associated with a higher incidence of high-risk cytogenetics by FISH in MM. There was a trend for increased TP53 mutation with AO exposure, but the cohort was small and did not reach statistical significance. In addition, AO exposure was not associated with a worse survival. Further studies are needed to clarify the effects of AO on the development of MM, including genomic and transcriptomic analysis to elucidate the pathobiology of this disease. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
    detail.hit.zdb_id: 2005181-5
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  • 4
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Cell and Developmental Biology Vol. 10 ( 2022-12-12)
    In: Frontiers in Cell and Developmental Biology, Frontiers Media SA, Vol. 10 ( 2022-12-12)
    Abstract: Multiple myeloma (MM) remains a lethal hematologic cancer characterized by the expansion of transformed plasma cells within the permissive bone marrow (BM) milieu. The emergence of relapsed and/or refractory MM (RRMM) is provoked through clonal evolution of malignant plasma cells that harbor genomic, metabolic and proteomic perturbations. For most patients, relapsed disease remains a major cause of overall mortality. Transforming growth factors (TGFs) have pleiotropic effects that regulate myelomagenesis as well as the emergence of drug resistance. Moreover, TGF-β modulates numerous cell types present with the tumor microenvironment, including many immune cell types. While numerous agents have been FDA-approved over the past 2 decades and significantly expanded the treatment options available for MM patients, the molecular mechanisms responsible for drug resistance remain elusive. Multiple myeloma is uniformly preceded by a premalignant state, monoclonal gammopathy of unknown significance, and both conditions are associated with progressive deregulation in host immunity characterized by reduced T cell, natural killer (NK) cell and antigen-presenting dendritic cell (DC) activity. TGF-β promotes myelomagenesis as well as intrinsic drug resistance by repressing anti-myeloma immunity to promote tolerance, drug resistance and disease progression. Hence, repression of TGF-β signaling is a prerequisite to enhance the efficacy of current and future immunotherapeutics. Novel strategies that incorporate T cells that have been modified to express chimeric antigen receptor (CARs), T cell receptors (TCRs) and bispecific T cell engagers (BiTEs) offer promise to block TGF-β signaling, overcome chemoresistance and enhance anti-myeloma immunity. Here, we describe the effects of TGF-β signaling on immune cell effectors in the bone marrow and emerging strategies to overcome TGF-β-mediated myeloma growth, drug resistance and survival.
    Type of Medium: Online Resource
    ISSN: 2296-634X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2737824-X
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  • 5
    In: Blood, American Society of Hematology, Vol. 136, No. Supplement 1 ( 2020-11-5), p. 1-2
    Abstract: Introduction Compared with Caucasian Americans (CA), African Americans (AA) have an increased incidence of multiple myeloma (MM), earlier age at diagnosis, and overall better prognosis [1]. The molecular mechanisms underlying such racial disparity are not well understood. Using targeted next generation sequencing assay or traditional fluorescence in situ hybridization (FISH) methods, previous studies reported that t(11;14) is more common in AA compared with CA with MM and monoclonal gammopathies [2,3] . However, the number of AA cases studied were small and conflicting data exists. Clinical trials in relapsed or refractory MM indicate that t(11;14) is a biomarker which may be used to predict response to a therapeutic agent (venetoclax) which targets BCL-2 [4,5]. Identifying racial differences in molecular biomarkers would be helpful in our understanding of the known racial disparities of incidence in MM and in the development of therapeutic trials. Methods 737 patients with newly diagnosed MM or smoldering myeloma (SM) at University Hospitals Seidman Cancer Center between 2009 and 2020 were identified. All had myeloma FISH panel sent at diagnosis, which included trisomy of chromosomes 3, 7, or 11, deletion 13q14.3 or loss of chromosome 13, deletion 17p13.1, 1q21 (CKS1B) amplification, and 14q32.3 rearrangements. IGH/CCND1 [t(11;14)(q13;q32)] dual fusion probe was used prior to 2018. Extra signal would trigger reflex test for IGH/FGFR3 [t(4;14)(p16.3;q32)] and IGH/MAF [t(14;16)(q32;q23)]. IGH break apart probe was used since 2018. IGH rearrangement would trigger reflex testing for translocation partners as listed above. Between-group differences were assessed with T-test for continuous variables, and Chi-square / Fisher's exact test for categorical variables. Results Of the 737 patients (661 MM, 76 SM), 502 (68.1%) were self-reported as CA, 213 (28.9%) were AA, and 22 (3.0%) were of other races or listed as unknown. Median age was 71 among CA and 70 among AA (p=0.67). The male-female ratio was 291/211 (58% male) among CA and 101/112 (47% male) among AA (p=0.0095). Overall t(11;14) was detected in 4.5% of cases, 5.2% CA and 2.8% AA (p=0.165); among 661 MM, t(11;14) was tested positive in 30/656 (4.57%), including 23 (5.1%) CAs, 6 (3.1%) AAs, and 1 others (p= 0.80); among 76 SM, t(11;14) was tested positive in 3/76 (3.95%), all were CAs. The percentages of patients who tested positive for other cytogenetic abnormalities were as follows: trisomy 3,7, or 11 was detected in 35.6% CA and 32.4% AA (p=0.42); 1q21 amplification was detected in 25.5% CA and 23.9% AA (p=0.72); deletion 13q14.3 or loss of chromosome 13 was detected in 16.5% CA and 10.7% AA (p=0.08); deletion 17p13.1 was detected in 6.4% CA and 5.2% AA (p=0.54); t(4;14) was detected in 2.8% CA and 1.4% AA (p=0.27); t(14;16) was detected in 0.4% CA and 0.5% AA (p=0.89) Conclusions This retrospective series of 737 MM and SM patients did not find an increased incidence of the targetable biomarker t(11;14) in AA patients. The overall percentage of t(11;14) cases was lower than expected. The lack of our finding a racial difference differs from some other reports, perhaps due to a fairly enriched AA population. There were also no significant racial differences found in other cytogenetic abnormalities. Further investigation at the molecular level should be performed to elucidate the mechanisms of racial disparity in MM. References [1]. Landgren O, Devesa S, Mink P, et al. African-American multiple myeloma patients have a better survival than Caucasian patients: a population-based study including 28,636 patients. Blood. 2009;114:1832. [2]. Kzandjian D, Hill E, Hultcrantz M, et al. Molecular underpinnings of clinical disparity patterns in African American vs. Caucasian American multiple myeloma patients. Blood Cancer J. 2019;9(2):15. [3]. Baughn LB, Pearce K, Larson D, et al. Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry. Blood Cancer J. 2018;8(10):96. [4]. Kortüm KM, Einsele H. First targeted therapy in multiple myeloma. Blood. 2017;130(22):2359-2360. [5]. Kumar S, Harrison S, Cavo M, et al. A phase 3 study of venetoclax or placebo in combination with bortezomib and dexamethasone in patients with relapsed/refractory multiple myeloma. EHA Library. Abstract LB2601. 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: 2020
    detail.hit.zdb_id: 1468538-3
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  • 6
    Online Resource
    Online Resource
    American Society of Hematology ; 2022
    In:  Blood Vol. 140, No. Supplement 1 ( 2022-11-15), p. 7244-7245
    In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 7244-7245
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    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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  • 7
    Online Resource
    Online Resource
    American Society of Hematology ; 2022
    In:  Blood Vol. 140, No. Supplement 1 ( 2022-11-15), p. 7856-7857
    In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 7856-7857
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    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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  • 8
    Online Resource
    Online Resource
    American Society of Hematology ; 2021
    In:  Blood Vol. 138, No. Supplement 1 ( 2021-11-05), p. 3781-3781
    In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 3781-3781
    Abstract: Multiple Myeloma (MM) is a cancer of terminally differentiated plasma cell resides in bone marrow, which is always preceded by clinically asymptomatic precursor states. The process of malignant transformation however is not fully understood. Analyses of cells from precursor state have provided evidence that it is a genetically advanced lesion, wherein tumor cells carry many of the genetic changes found in MM cells. Furthermore, mice xenografts from patient (pt) with precursor disease showed progressive growth on its own suggesting progression potential is counteracted by active extrinsic restraints that prevent its progression to MM (Das R et al. Nature Medicine, 2016). Hence, precursor progression to MM can be viewed as a dynamic process in which the clonal mass is the net result of pro-growth, pro-survival replicative capacity of the myeloma clones vs. anti-tumor immunity. The change in the net clonal mass sometimes is large enough to be detected by measurable fluctuations in serum monoclonal protein spike (M-spike) levels and reflects a highly dynamic battle between plasma cell clone and cell-mediated anti-myeloma immunity among those pts. The prognostic value of this highly dynamic state on risk of progression to MM is largely unknown. In this study we sought to assess the association between the dynamic M-spike pattern and the risk of progression from a precursor clone to MM. Methods: All pts with positive serum electrophoresis (SPEP) values measured from January 2011 to January 2021 for our institution were included for this study. All pts that had & lt;3 M-spike readings before requiring anti-myeloma regimen, received active treatment for MM within 90 days of the first positive SPEP, had M-spike values & gt;3g/l or had clear evidence of progression by serial increasing M-spike values were excluded.. We assigned the pattern of M-spike values over time into two groups according to stability. To eliminate the test-to-test variability, we defined stable disease as lack of more than 20% difference from lowest M-spike, and fluctuating disease if the difference exceeds 20%. The time-to-treatment (TTT) was then measured from the first positive SPEP to the time of treatment and was censored at the date of last follow-up for pts who did not have anti-myeloma treatment with death as competing risk. The effect of M-spike pattern on TTT, treating as binary outcome, was also evaluated using logistic regression analysis. Univariate analysis of TTT was performed using Gray's method. All tests were two-sided and p-value ≤ 0.05 were considered statistically significant. Results: A total of 565 pts were studied, 193 with a fluctuating pattern and 372 with a stable pattern. Median age at first positive SPEP was 76 years old (range: 38-101), 271 (48%) of them were male; 427 (75%) were Caucasian and 123 (22%) African American. Baseline creatinine was 1.17 mg/dl (range 0.5-11.2 SD 0.94). Baseline albumin was 3.97 g/dl (range 1.6-5.2 SD 0.47), 336 pts (59%) were IgG, 75 (13%) IgA, and 142 (25%) had IgM M-spike; 326 (58%) pts had Kappa light chain and 239 (42%) had Lambda. Autoimmune diseases were more common in the stable disease pattern (17% vs. 10% p=0.028), the most frequent one was Rheumatoid arthritis in 33 pts (6%). Furthermore, baseline albumin was statistically higher in pts in the stable cohort (4.04 vs. 3.85g/dl, p= & lt;0.0001). Median follow up was 46.9 months (range: 3.2-120.9). Logistic regression: the odds ratio (OR) of having progression to treatment for fluctuation group was 4.5 (95% CI: 1.37-14.18, p= 0.013) in comparison to stable group. Time-to-event analysis: pts with fluctuating M-spike had higher chance of needing therapy (Hazard Ratio: 3.73, 95% CI: 1.19-11.66, p=0.024) than stable group. Cumulative incidence of needing treatment is shown in Figure-1. Conclusion: The dynamic pattern of M-spike seen here with fluctuating values over time (over time is two words) was significantly predictive of progression to MM in pts with a precursor disease state. These findings may reflect a different nature of tumor vs. immune system balance and possible impaired immunity in these pts which may have implications for future clinical trials that evaluate the efficacy of anti-myeloma immunotherapeutics. Furthermore, our finding suggest that fluctuations in M-spike levels may be factored into risk models that predict the progression to MM among pts with precursor clones. Larger studies are warranted to further study this concept. Figure 1 Figure 1. Disclosures Malek: Medpacto Inc.: Research Funding; Janssen: Other: Advisory board ; Takeda: Honoraria; Cumberland Inc.: Research Funding; Amgen: Honoraria; BMS: Honoraria, Research Funding; Bluespark Inc.: Research Funding; Sanofi: Other: Advisory Board.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2021
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    detail.hit.zdb_id: 80069-7
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  • 9
    Online Resource
    Online Resource
    Elsevier BV ; 2022
    In:  Clinical Lymphoma Myeloma and Leukemia Vol. 22 ( 2022-08), p. S57-
    In: Clinical Lymphoma Myeloma and Leukemia, Elsevier BV, Vol. 22 ( 2022-08), p. S57-
    Type of Medium: Online Resource
    ISSN: 2152-2650
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 2540998-0
    detail.hit.zdb_id: 2193618-3
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  • 10
    Online Resource
    Online Resource
    Elsevier BV ; 2023
    In:  Transplantation and Cellular Therapy Vol. 29, No. 2 ( 2023-02), p. S406-
    In: Transplantation and Cellular Therapy, Elsevier BV, Vol. 29, No. 2 ( 2023-02), p. S406-
    Type of Medium: Online Resource
    ISSN: 2666-6367
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 3056525-X
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