A Risk Stratification Model Using Quantification of Circulating Plasma Cells in Multiple Myeloma Prior to Autologous Stem Cell Transplantation in the Era of Novel Agents

Abstract Background: The presence of circulating plasma cells (CPCs) is associated with an adverse prognosis in multiple myeloma along the entire spectrum of disease. However, the impact of CPCs prior to autologous stem cell transplantation (ASCT) has not been defined in the era of novel agents. The objective of this study is to assess the impact of the presence and number of CPCs before transplant using 6-color multiparameter flow cytometry (MFC). We also explored the additional prognostic implications of CPCs over the current paradigm for risk stratification at transplant, including high-risk (HR) cytogenetics and disease status at transplant by the IMWG criteria. Methods: A total of 1113 consecutive patients transplanted between 2007 and 2015 in Mayo Clinic were included in the study. Flow-cytometry of peripheral blood to identify clonal CPCs is routinely performed in all patients before ASCT in Mayo Clinic, Rochester. The mononuclear cells from peripheral blood samples are isolated by Ficoll gradient and subsequently stained with antibodies to CD19, CD38, CD45, CD138 and cytoplasmic kappa (κ) and lambda (λ) immunoglobulin light chains. Clonality is assessed by light chain restriction (κ:λ expression ratio of 4:1 [κ restricted] or <1:2 [λ restricted]). The target for collection is >150,000 cellular events. For samples where less than 150,000 clonal events are examined, the number of final clonal events is adjusted to 150,000 events. HR cytogenetics by fluorescence in situ hybridization (FISH) on bone marrow (BM) plasma cells was defined by one of the following abnormalities: t(4;14), del(17p), t(14;16), t(14;20) or +1q, detected at any time point from diagnosis to transplant. Patients who had insufficient plasma cells for FISH analysis in BM specimens were not included in the denominator to calculate the percentage of patients with HR cytogenetics. The primary end-points of this study were post-transplant response, PFS and OS. Result: CPCs were detected in 238 out of 1113 (21.4%) patients, with the median number of CPCs being 82 (range, 1-102381) per 150,000 events. The median age of patients at transplant was 62 years. A total of 1097 (99%) patients had received novel agent based induction therapy with PIs and IMiDs, including 458 (41%) patients who had received both PIs and IMiDs. 401 (36%) patients had received post-transplant maintenance or consolidation therapy. The frequency of t(4;14) in BMPCs was significantly higher in patients with CPCs compared to those without [15.2 vs 7.0% for t(4;14); P<0.001]. The median follow-up from transplant for survivors was 45 months. The 5-year OS rate in patients with and without CPCs was 34% (95% CI, 27-42) and 70% (95% CI, 66-74) respectively (P<0.001). After exploring several cut-offs for the number of CPCs per 150,000 events, we chose a simple pre-transplant risk stratification model: No CPCs (n=874; 78.5%), 0<CPCs≤400 (n=188; 16.9%) and CPCs>400 (n=51; 4.6%). The number of patients achieving stringent complete response post-transplant in groups with no CPCs, 0<CPCs≤400 and CPCs>400 was 310 (36%), 31 (16%) and 3 (6%) respectively (P<0.001). The median PFS in the 3 groups was 27 months (95% CI, 25-30), 15 months (95% CI, 13-18) and 6 months (95% CI, 4-10) respectively (P<0.001) and 5-year OS rates were 70% (95% CI, 66-74), 42% (95% CI, 34-51) and 12% (95% CI, 5-26) respectively (P<0.001). Kaplan-Meier curves for PFS and OS are depicted in Figure I (A and B). In a multivariate model (Table I), the groups with 0<CPCs≤400 and CPCs>400 had an increased risk of death, independent of the presence of HR cytogenetics and disease status at transplant. Conclusion: Our study shows the strong negative prognostic impact of CPCs prior to transplant on post-transplant response and survival in MM in the era of novel agents. The proposed risk stratification model can be easily employed with simple equipment and should be routinely incorporated in the pre-transplant workup. Detailed epigenomic, genomic and transcriptomic analysis of CPCs is urgently needed to uncover the biological basis of resistance to both high-dose cytotoxic therapy and novel agents and identify potential avenues of targeted therapy against CPCs. Disclosures Kumar: Onyx: Consultancy, Research Funding; Kesios: Consultancy; Celgene: Consultancy, Research Funding; Glycomimetics: Consultancy; AbbVie: Research Funding; BMS: Consultancy; Sanofi: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding. Dispenzieri:Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Alnylam: Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees; pfizer: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Jannsen: Research Funding. Kapoor:Celgene: Research Funding; Amgen: Research Funding; Takeda: Research Funding. Gertz:Sandoz Inc: Honoraria; NCI Frederick: Honoraria; Celgene: Honoraria; Alnylam Pharmaceuticals: Research Funding; GSK: Honoraria; Novartis: Research Funding; Research to Practice: Honoraria, Speakers Bureau; Med Learning Group: Honoraria, Speakers Bureau; Ionis: Research Funding; Prothena Therapeutics: Research Funding; Annexon Biosciences: Research Funding.

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Profound Impact of Sample Processing Delay on Gene Expression of Multiple Myeloma Plasma Cells

Blood ◽

10.1182/blood.v126.23.2996.2996 ◽

2015 ◽

Vol 126 (23) ◽

pp. 2996-2996

Author(s):

Tobias Meissner ◽

Anja Seckinger ◽

Kari Hemminki ◽

Uta Bertsch ◽

Asta Foersti ◽

...

Keyword(s):

Gene Expression ◽

Risk Stratification ◽

Board Of Directors ◽

Research Funding ◽

Plasma Cells ◽

University Of Arkansas ◽

Medical Sciences ◽

Advisory Committees ◽

Travel Grant ◽

The Uk

Abstract Introduction: Gene expression profiling (GEP) has significantly contributed to the elucidation of the molecular heterogeneity of multiple myeloma plasma cells (MMPC) and only recently it has been recommended for risk stratification. Prior to GEP MMPC need to be enriched resulting in an inability to immediately freeze bone marrow aspirates or use RNA stabilization reagents. As a result in multi-center MM trials sample processing delay due to shipping may be an important confounder of molecular analyses and risk stratification based on GEP data. In order to determine the impact of "shipping delay" on MMPC gene expression we analyzed a set of 573 newly diagnosed German MM patients including 230 in-house and 343 shipped samples. Materials and Methods: We included publicly available GEP data of newly diagnosed MM patients treated in the GMMG HD4 and MM5 trials. All samples had been processed in a central laboratory in Heidelberg and include 85 HD4 and 145 MM5 in-house and 97 HD4 and 246 MM5 shipped samples. Prediction of sample status was done on publicly available GEP, including data from the UK, UAMS and MMRC. Differential gene expression was assessed using empirical Bayes statistics in linear models for microarray data. Predictor for shipment status was generated on the MM5 cohort using prediction analysis for microarrays. Pathway enrichment analysis was done using WebGestalt. Risk signatures and molecular subgroups were obtained as previously described. Fisher's exact test was used to compare the subgroup distribution between cohorts. If applicable, results were corrected for multiple testing using the Benjamini-Hochberg method. In all statistical tests, an effect was considered statistically significant if the P-value of its corresponding statistical test was not greater than 5%. Results: Applying the Goeman's global teston the MM5 set showed that "shipping delay" significantly impacted global gene expression (P <0.001). Compared to 145 in-house samples, we detected 3301 down-regulated and 3501 up-regulated genes in 246 shipped samples. For 4280 genes we confirmed differential expression in an independent set of 85 in-house and 97 shipped samples. Of these genes 2040 had a >1.5-fold and 826 a >2-fold difference in expression level. Differentially expressed genes were enriched in processes like ribosome biogenesis, cell cycle, and apoptosis. We observed significantly lower proliferation rates in shipped samples (P <0.001). We did not detect significant differences in the distribution of molecular subgroups between in-house and shipped samples in the combined set of HD4 and MM5. Among GEP based risk predictors the IFM-15 seemed to underestimate high risk in shipped samples, whereas the GEP70 and the EMC-92 gene signatures were more robust. In order to provide a tool to assess the "shipping effect" in public repositories, we generated a 17-gene predictor for shipped samples with a 10-fold cross validation error rate of 0.06 for the training set and an error rate of 0.15 for the validation set. Applying the predictor to further publicly available data sets we detected the "shipping effect" signature in 11% of cases of the UAMS set, 94% of the UK set and 57% of the MMRC set. Conclusion: Our study shows that "shipping delay" widely influences gene expression of MMPC with different impact on molecular classification and risk stratification. Based on available data, currently no clear circumvention of the shipping impact on MMPC can be recommended. It should be avoided if possible or at least be taken into account. Disclosures Seckinger: Takeda: Other: Travel grant. Salwender:Celgene: Honoraria; Janssen Cilag: Honoraria; Bristol Meyer Sqibb: Honoraria; Amgen: Honoraria; Novartis: Honoraria. Goldschmidt:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Millenium: Honoraria, Research Funding, Speakers Bureau; Onyx: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen-Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Chugai: Honoraria, Research Funding, Speakers Bureau; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees. Morgan:MMRF: Honoraria; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; University of Arkansas for Medical Sciences: Employment; CancerNet: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Weismann Institute: Honoraria; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Hose:Takeda: Other: Travel grant; EngMab AG: Research Funding. Weinhold:Janssen Cilag: Other: Advisory Board; University of Arkansas for Medical Sciences: Employment.

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Development of New Treatment Strategies Targeting Clonogenic and Tumorigenic Myeloma Side Population.

Blood ◽

10.1182/blood.v116.21.1581.1581 ◽

2010 ◽

Vol 116 (21) ◽

pp. 1581-1581

Author(s):

Jana Jakubikova ◽

Steffen Klippel ◽

Efstathios Kastritis ◽

John Daley ◽

Melissa Ooi ◽

...

Keyword(s):

Board Of Directors ◽

Cell Lines ◽

Research Funding ◽

Side Population ◽

Scid Mice ◽

Novel Agents ◽

Advisory Committees ◽

Tumorigenic Potential ◽

The Impact

Abstract Abstract 1581 Introduction: Recurrence of multiple myeloma (MM) after establishment of complete remission indicates the presence of a small fraction of resistant tumor cells which persists after treatment and expresses stem cell-like characteristics. In our previous studies, we confirmed the existence of a MM population with “stem-like” features, known as side population (SP) cells. SP cells exhibit substantial heterogeneity not only in MM cell lines, but also in primary samples. Importantly, SP cells manifest significant clonogenic potential in vitro compared to the main population (MP). In our current study, we examined whether the clonogenicity of SP cells in vitro is associated with tumorigenic potential of SP cells in vivo. Methods and Results: To evaluate tumorigenicity of SP cells, several dilutions of sorted SP and MP cells were injected into immunocompromised mice. In CB17/SCID mice, sorted SP cells (range 105 - 106 cells/mouse) from OPM1 and KMS11 cell lines induced significantly greater tumor growth compared to MP cells (90-70% less tumor mass than SP tumors). At lower innocula of cells (10 × 103 cells/mouse), SP cells resulted in tumors, whereas no tumors were produced by MP cells. In NOD/SCID mice, lower numbers of SP cells (1 × 103 cells/mouse) produced tumor. These data strongly support the tumorigenic potential of SP sub-population and provide the rationale for targeting these cells in novel therapeutic strategies in MM. Indeed, our previous studies show that lenalidomide significantly decreased the percentage and clonogenicity of SP cells. We therefore expanded these studies to next examine whether other novel agents target SP cells. Novel agents pomalidomide (1 μM; decreased by 97%) and histone deacetylase (HDAC) inhibitor vorinostat (0.4 μM; decreased by 86%) significantly affected SP cells. Natural plant compound sulforaphane (2 μM; decreased by 86%), but not isothiocyanate PEITC, also decreased percentage of SP cells. We similarly evaluated the anti-SP effect of compounds known or proposed to target crucial signaling pathways in hematopoietic/cancer stem cells including cantharidin (terpenoid inhibitor of PPA2) and its demethylated analog norcantharin, deguelin (PI3K/Akt inhibitor), plumbagin (quinonoid substrate of ABCG2) and ionophore salinomycin. All these compounds significantly decreased or completely eliminated SP cells at low nontoxic doses in flow cytometry-based Hoechst 33342 staining assays. However, clonogenicity of SP cells treated by salinomycin was only slightly affected compared to control SP cells by clonogenic assay in vitro. In addition, Hedgehog pathway inhibitor cyclopamine (10 μM; decreased by 82%), as well as its analog tomatidine (10 μM; decreased by 64%), significantly decreased the percentage of SP cells, while sonic hedgehog agonist purmorphamine (0.8 μM; decreased by 17%) only modestly decreased the percentage of SP cells. To study these substantial inhibitory effects of tested compounds, the clonogenic assays were performed in vitro. Finally, the effect of drugs and compounds against SP cells was also evaluated in co-culture with bone marrow stromal cells, which confer growth and survival in MM. Importantly, the SP fraction was decreased by these agents, whereas no effect of hedgehog agonist and plumbagin was detected. Conclusions: Our studies confirmed the tumorigenic potential of SP cells isolated from established MM cell lines and identify the impact of targeted therapies against these cells, providing the rationale for further studies to evaluate the clinical potential of therapeutic targeting of SP cells in MM. Disclosures: Richardson: Celgene: Membership on an entity's Board of Directors or advisory committees; Millennium: Membership on an entity's Board of Directors or advisory committees; Johnson & Johnson: Membership on an entity's Board of Directors or advisory committees. Anderson:Celgene: Membership on an entity's Board of Directors or advisory committees; Millennium: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Mitsiades:Millennium: Consultancy, Honoraria; Novartis Pharmaceuticals: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Merck &Co.: Consultancy, Honoraria; Kosan Pharmaceuticals: Consultancy, Honoraria; Pharmion: Consultancy, Honoraria; Centrocor: Consultancy, Honoraria; PharmaMar: Patents & Royalties; OSI Pharmaceuticals: Research Funding; Amgen Pharmaceuticals: Research Funding; AVEO Pharma: Research Funding; EMD Serono: Research Funding; Sunesis: Research Funding; Gloucester Pharmaceuticals: Research Funding.

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In Systemic Light-Chain Amyloidosis Complete and Very Good Partial Responses Are Not Enough: Involved Free Light Chain (iFLC) Levels < 10mg/L Are Associated with Optimal Long-Term Survival

Blood ◽

10.1182/blood-2019-127004 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4369-4369 ◽

Cited By ~ 2

Author(s):

Amandeep Godara ◽

Denis Toskic ◽

Benjamin Rosenthal ◽

Cindy Varga ◽

Adin Kugelmass ◽

...

Keyword(s):

Board Of Directors ◽

Light Chain ◽

Research Funding ◽

Plasma Cells ◽

Initial Therapy ◽

Stage Ii ◽

Age At Diagnosis ◽

Response Criteria ◽

Advisory Committees ◽

The Impact

Introduction: Response criteria in light-chain (AL) amyloidosis, revised in 2012, did not specify a depth of change in the pathologic involved FLC (iFLC) for either an amyloid complete response (aCR) or a very good partial response (VGPR) (JCO 2012;30:4541). The FLC ratio upon which an aCR is based is impacted if renal function deteriorates and if either the iFLC or uninvolved FLC (uFLC) become undetectable; moreover, the VGPR was based on the difference between iFLC and uFLC and not on the response in the iFLC. Emerging data have controverted the role of the FLC ratio, suggesting the need for a revised criteria, particularly since a new CD38-based treatment regimen may achieve iFLC levels <10mg/L in over 70% of patients and may often make the ratio incalculable (Abs #S875 24th European Hematology Association Congress;6/15/19). In a revisionist mode, we examined overall survival (OS) from diagnosis in patients achieving > VGPR as a function of baseline, treatment-related and iFLC response variables. Patients and Methods: Patients with AL diagnosed between 2005-2017 with > VGPR after treatment were included in this IRB-approved retrospective study. Cox proportional-hazards regression analyses were used to assess the impact of baseline variables (gender, age at diagnosis, pathologic light-chain isotype, marrow plasma cells, iFLC, dFLC, and cardiac and renal stage), and also to assess the impact of treatment and iFLC-response related variables (types of initial therapy, number of courses of therapy [induction if needed+MEL SCT+consolidation = 1 course], exposure to daratumumab, achievement of aCR and VGPR, and iFLC response). iFLC responses were defined as levels <10, 10-20 or > 20mg/L. MedCalc 19.0.3 statistical software was used for all statistical analyses. Results: One hundred and thirty-three patients met the criteria and were 78M/55W a median of 60.5 yo (range, 35-81) with AL-lambda type in 114 (86%) and marrows with a median 10% plasma cells (1-50). Median iFLC and dFLC were 135mg/L (29.4-9780) and 123mg/L (4-9770) respectively, and 89 patients (66%) had cardiac (stage II=49, III=33) and 87 (65%) renal involvement (stage II=55, III=16). Of baseline variables, only age and cardiac stage were significant predictors of OS. Ninety one (68%) had bortezomib-based initial therapy and 62 (47%) went to SCT+consolidation. Eighty-three (63%) received 2 courses of therapy and 14 (11%) received 3 courses; 7 received daratumumab in second-line therapy and 14 in the third-line. Eighty four (63%) achieved an aCR. With a median follow up > 5 years, of treatment and response related variables, only the iFLC response predicted OS (p<0.01). Log-rank (Kaplan-Meier) analysis showed that patients achieving iFLC <10mg/L had over 95% survival at 120 months, compared to those achieving iFLC 10-20mg/L or >20mg/L whose median OS were 96 and 121 months respectively (p<0.01) (Figure 1). We then compared patients in the iFLC groups. They did not differ by Mann-Whitney in age at diagnosis or by χ2 with respect to cardiac stage, types of initial therapy, number of courses of therapy, or exposure to daratumumab. However, the groups differed significantly by Mann-Whitney in baseline iFLC/dFLC [medians, 75/62 (<10), 212/192 (10-20), 227/190 (>20) (all comparisons, p<0.01)], and by χ2 in aCR rates [81% (<10), 67% (10-20) and 47% (>20) (p<0.01)]. Conclusions: Multiple variables impact OS in patients achieving > VGPR to therapy, including age, cardiac stage at diagnosis, and iFLC response. In this series, the optimal hematologic response is an iFLC <10mg/L and the major challenge to achieving that goal is the scale of FLC disease at diagnosis. Further studies are needed to validate a revision of the hematologic response criteria in AL in the modern era of monoclonal antibody therapy. Disclosures Comenzo: Unum: Membership on an entity's Board of Directors or advisory committees, Research Funding; Caelum: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Myself: Patents & Royalties: Patent 9593332, Pending 20170008966; Karyopharm: Research Funding; Prothena Biosciences: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi-Aventis: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding.

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Impact of Response to Thalidomide, Lenalidomide or Bortezomib Containing Induction Chemotherapy on Outcomes of Multiple Myeloma Patients Undergoing Autologous Transplantation – A Multicenter Analysis

Blood ◽

10.1182/blood.v116.21.1351.1351 ◽

2010 ◽

Vol 116 (21) ◽

pp. 1351-1351

Author(s):

Farrukh Awan ◽

Salman Osman ◽

Samith Thomas Kochuparambil ◽

Scot Remick ◽

Jame Abraham ◽

...

Keyword(s):

Multiple Myeloma ◽

Board Of Directors ◽

Induction Chemotherapy ◽

Karnofsky Performance Status ◽

Autologous Transplantation ◽

Novel Agents ◽

High Dose ◽

Advisory Committees ◽

Post Transplant ◽

The Impact

Abstract Abstract 1351 Introduction: High dose therapy and autologous transplantation (HDT-AT) has shown survival benefit for (at least) young, transplant eligible multiple myeloma (MM) patients. Transplant ineligible patients who achieve complete remission (CR) with novel chemotherapy agents, have recently been shown to have superior overall survival (OS) (Harousseau JL. Blood:2010). However transplant eligible MM patients who have refractory disease in response to induction chemotherapy (not containing novel agents) before HDT-AT do not have inferior outcomes post-transplantation. A recent single institution, retrospective study has shown that <50% reduction in ‘serum M-protein’ following induction with thalidomide (T) or lenalidomide (L)-based induction therapies, predicts poor outcomes following HDT-AT (Gertz M, Blood:2010). These findings require further validation in order to refine patient selection for HDT-AT. We report here the impact pre-transplant remission status on outcomes of HDT-AT in MM patients receiving induction chemotherapy with novel agents. Methods: This multicenter outcomes study includes 121 consecutive patients who underwent a planned, single autograft within 1-year of starting induction chemotherapy with regimens containing T, L, or bortezomib (B), from 2003–2009. Peripheral blood stem cells were mobilized using a cyclophosphamide/G-CSF combination. All patients with normal renal function received uniform conditioning with Mel200 (MEL140 if serum creatinine was >2 mg/dl). The disease response pre- and post transplant was determined by using the IMWG criteria. SPSS version 13.0 was used for statistical analysis. Kaplan-Meier method was used to calculate OS and progression free survival (PFS). In order to assess the impact of chemosensitive disease, outcomes of patients achieving at least a partial remission (PR) (≥PR-group; n=105) before HDT-AT were compared with one not achieving at least a PR (<PR-group; n=16). We also compared outcomes of patient achieving at least a very good partial response (VGPR) (≥VGPR-group; n=48) with ones not achieving at least a VGPR (<VGPR-group; n=73). Results: The median age of the patients at transplant was 57yrs (range 35 –76yrs). Eighty (65%) patients were male. At diagnosis 84 (68%) had Salmon-Durie stage III disease, while 37 (31%) had stage I/II disease. At transplantation median Karnofsky performance status was 90, median number of prior therapies was 1 (range 1–4), and 31 (25%) had received radiation previously. Median follow-up of surviving patients is 24 months. KM estimates of 3 year OS of patients in ≥PR-group and <PR-group was 74% vs. 77% (p=0.94) respectively. The 3 year PFS in similar order was 44.8% vs. 45% (p=0.87). The 3 year OS of patients in ≥VGPR-group and <VGPR-group (73% vs. 75%) was also not significantly different (p=0.83). Respective figures of 3 year PFS are 54% vs. 38% (p=0.97) respectively. Of the 53 patients that entered an HDT-AT with a PR, 23 improved to a CR post transplant, 2 improved their status to a VGPR whereas 28 remained in a PR. On the other hand of the 8 patients who entered an HDT-AT with a VGPR, 2 improved to a CR whereas the rest maintained their status. Conclusion: Our limited, multicenter retrospective outcomes data suggest that response to induction chemotherapy with novel agents may not reliably predict outcome of MM patients undergoing HDT-AT. Until data from prospective studies prove otherwise, MM patients who are refractory to therapy with T/L or B-based agents should not routinely be considered ineligible for HDT-AT. Disclosures: Abraham: Genentech: Membership on an entity's Board of Directors or advisory committees. Craig:Genentech: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Hamadani:celgene: Honoraria, Speakers Bureau; otsuka: Research Funding, Speakers Bureau.

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Risk Factors for Early Relapse after Allogeneic Hematopoietic Cell Transplantation in Acute Myeloid Leukemia

Blood ◽

10.1182/blood-2018-99-111890 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 4603-4603

Author(s):

Sagar S. Patel ◽

Betty K. Hamilton ◽

Lisa Rybicki ◽

Dawn Thomas ◽

Arden Emrick ◽

...

Keyword(s):

Risk Factors ◽

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Somatic Mutations ◽

Hematopoietic Cell Transplantation ◽

Disease Status ◽

Advisory Committees ◽

Early Relapse ◽

Post Transplant

Abstract Background While allogeneic hematopoietic cell transplantation (alloHCT) can be curative for patients with acute myeloid leukemia (AML), relapse remains a significant challenge. Previous work has suggested that disease status at time of transplant and cytogenetics are important predictors of relapse. However, it is unclear if common somatic mutations or dimorphisms of MHC class I chain-related gene A (MICA), a ligand of the natural killer (NKG2D) receptor on immune effector cells that helps mediate NK cell alloreactivity, also contribute. Moreover, the mechanisms of early relapse are an area of ongoing investigation. We assessed risk factors for relapse within 6 and 12 months after alloHCT. Methods We conducted a single center, retrospective analysis of adults with AML who underwent a first alloHCT. Analysis was restricted to patients with T-cell replete HLA-8/8 matched related or unrelated donor. In addition to cytogenetic risk group stratification by European LeukemiaNet criteria (Döhner H, et al, Blood 2016), a subset of patients had a 36-gene somatic mutation panel assessed prior to alloHCT by next-generation sequencing. Dimorphisms at the MICA-129 position have previously been categorized as weaker (valine/valine: V/V), heterozygous (methionine/valine: M/V), or stronger (methionine/methionine: M/M) receptor binding affinity. Risk factors for early relapse were assessed with Fine and Gray competing risk regression with results as hazard ratios (HR) and 95% confidence intervals (CI). Results From 2000 - 2017, 319 adult AML patients were identified meeting inclusion criteria. Median age at transplant was 51 years (range, 18-74), with 95% Caucasian. The distribution of low, intermediate, and high HCT-CI scores was 28%, 28%, and 44%, respectively. 75% of patients were transplanted ≤12 months from diagnosis. Disease status at transplant included 48% in first complete remission (CR1), 19% in second CR (CR2), 33% in third CR or relapsed/refractory or untreated (collectively, <CR2). By cytogenetic risk stratification, 13% of patients had favorable, 58% had intermediate, and 29% had adverse-risk cytogenetics. The four most common somatic mutations were FLT3 (12%), NPM1 (10%), DNMT3A (7%), and TET2 (6%). MICA mismatch was present in 10% of patients. The distribution of donor MICA-129 dimorphisms were 44% V/V, 51% M/V, and 5% M/M. 56% of patients had a related donor. A myeloablative transplant was performed in 88% of patients and 63% had a BM graft source. Conditioning with busulfan/cyclophosphamide was used in 56% of patients. In univariable analysis, non-Caucasian race, disease status <CR2, and adverse cytogenetics were risk factors for relapse within 6 months; all but race were also risk factors for relapse within 12 months. None of the somatic mutations assessed, MICA mismatch, nor dimorphisms at the MICA-129 position were identified as risk factors for early relapse. In multivariable analysis, relative to CR1, patients in <CR2 was a risk factor for relapse within 6 months (HR 2.21, CI 1.28-3.82, P=0.005) and 12 months (HR 2.23, CI 1.39-3.58, P<0.001), while patients in CR2 also had higher risk of relapse within 12 months relative to CR1 (HR 2.02, CI 1.10-3.70, P=0.024) (Figures 1A, 1B). In addition, adverse-risk cytogenetics were a risk factor for relapse within 6 months (HR 3.96, CI 1.33-11.8, P=0.013) and 12 months (HR 3.58, CI 1.67-7.68 P=0.001) (Figures 2A, 2B). Relapse incidence estimates (CI) at 6 months were 16% (11-22) CR1, 15% (7-25) CR2, and 33% (24-42) <CR2; estimates were 10% (3-22) for favorable, 17% (12-23) intermediate, and 31 % (22-41) adverse-risk cytogenetics. Relapse incidence estimates at 12 months were 21% (15-28) CR1, 30% (19-41) CR2, and 42% (33-52) <CR2; estimates were 21% (10-36) for favorable, 21% (15-27) intermediate, and 47% (36-57) adverse-risk cytogenetics. Conclusion Relapse after alloHCT for AML remains a challenge. In our study, the strongest risk factors for early relapse after alloHCT remains absence of CR1 disease status at transplant and adverse-risk cytogenetics. We observed no prognostic effect of somatic mutations nor MICA dimorphisms prior to transplant on 6 or 12-month relapse post-transplant. Further interrogation of pre-transplant or post-transplant persistence of somatic mutations in a larger series may better risk stratify subjects who may benefit from more intensive or innovative approaches to prevent post-transplant relapse. Disclosures Nazha: MEI: Consultancy. Advani:Amgen: Research Funding; Pfizer: Honoraria, Research Funding; Novartis: Consultancy; Glycomimetics: Consultancy. Carraway:Novartis: Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees; Balaxa: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; FibroGen: Consultancy; Jazz: Speakers Bureau; Agios: Consultancy, Speakers Bureau. Gerds:Celgene: Consultancy; Apexx Oncology: Consultancy; Incyte: Consultancy; CTI Biopharma: Consultancy. Sekeres:Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees. Maciejewski:Apellis Pharmaceuticals: Consultancy; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Apellis Pharmaceuticals: Consultancy; Ra Pharmaceuticals, Inc: Consultancy; Ra Pharmaceuticals, Inc: Consultancy; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Majhail:Atara: Honoraria; Incyte: Honoraria; Anthem, Inc.: Consultancy.

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Long-Term Experience with Large Granular Lymphocytic Leukemia Evolving after Solid Organ and Hematopoietic Stem Cell Transplantation

Blood ◽

10.1182/blood-2019-130167 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 1226-1226

Author(s):

Hassan Awada ◽

Reda Z. Mahfouz ◽

Jibran Durrani ◽

Ashwin Kishtagari ◽

Deepa Jagadeesh ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Viral Infections ◽

De Novo ◽

Post Transplantation ◽

Advisory Committees ◽

Hematopoietic Stem ◽

Post Transplant ◽

Stat3 Mutations

T-cell large granular lymphocyte leukemia (T-LGLL) is a clonal proliferation of cytotoxic T lymphocytes (CTL). T-LGLL mainly manifest in elderly and is associated with autoimmune diseases including rheumatoid arthritis (RA), B cell dyscrasias, non-hematologic cancers and immunodeficiency (e.g., hypogammaglobulinemia). LGL manifestations often resemble reactive immune processes leading to the dilemmas that LGLs act like CTL expansion during viral infections (for example EBV associated infectious mononucleosis). While studying a cohort of 246 adult patients with T-LGLL seen at Cleveland Clinic over the past 10 years, we encountered 15 cases of overt T-LGLL following transplantation of solid organs (SOT; n=8) and hematopoietic stem cell transplantation (HSCT; n=7). Although early studies reported on the occurrence of LGL post-transplant, these studies focused on the analysis of oligoclonality skewed reactive CTL responses rather than frank T-LGLL. We aimed to characterize post-transplantation T-LGLL in SOT and HSCT simultaneously and compare them to a control group of 231 de novo T-LGLL (cases with no history of SOT or HSCT). To characterize an unambiguous "WHO-defined T-LGLL" we applied stringent and uniform criteria. All cases were diagnosed if 3 out of 4 criteria were fulfilled, including: 1) LGL count >500/µL in blood for more than 6 months; 2) abnormal CTLs expressing CD3, CD8 and CD57 by flow cytometry; 3) preferential usage of a TCR Vβ family by flow cytometry; 4) TCR gene rearrangement by PCR. In addition, targeted deep sequencing for STAT3 mutations was performed and charts of bone marrow biopsies were reviewed to exclude other possible conditions. Diagnosis was made 0.2-27 yrs post-transplantation (median: 4 yrs). At the time of T-LGLL diagnosis, relative lymphocytosis (15-91%), T lymphocytosis (49-99%) and elevated absolute LGL counts (>500 /µL; 93%) were also seen. Post-transplantation T-LGLL were significantly younger than de novo T-LGLL, (median age: 48 vs. 61 yr; P<.0001). Sixty% of post-transplantation T-LGLL patients were males. Fifteen% of patients had more cytogenetic abnormalities compared to de novo T-LGLL, had a lower absolute LGL count (median: 4.5 vs. 8.5 k/µL) and had less frequent neutropenia, thrombocytopenia and anemia (27 vs. 43%, 33 vs. 35% and 20% vs. 55%; P=.01). TCR Vb analysis identified clonal expansion of ≥1 of the Vb proteins in 60% (n=9) of the patients; the remaining 40% (n=6) of the cases had either a clonal process involving a Vb protein not tested in the panel (20%; n=3) or no clear expansion (20%; n=3). Signs of rejection were observed in 20% (n=3/15) and GvHD in 13% (n=2/15) of the patients. Post-transplantation, 27% of cases presented with neutropenia (absolute neutrophil count <1.5 x109/L; n=4), 33% with thrombocytopenia (platelet count <150 x109/L; n=5) and 25% with anemia (hemoglobin <10 g/dL; n=3). T-LGLL evolved in 10 patients (67%; 10/15) despite IST including cyclosporine (n=5), tacrolimus (n=4), mycophenolate mofetil (n=5), cyclophosphamide (n=1), anti-thymocyte globulin (n=1), and corticosteroids (n=6). Lymphadenopathy and splenomegaly were seen in 13% (n=2) and 33% (n=5) of the patients. Other conditions observed were MGUS (20%; n=3) and RA (7%; n=1). Conventional cytogenetic showed normal karyotype in 89% (n=11, tested individuals 13/15). Somatic STAT3 mutations were identified in 2 patients. Sixty% of cases (n=9) were seropositive for EBV when tested at different time points after transplant. Similarly, 53% (n=8) were seropositive for CMV, of which, 5 were positive post-transplantation and 3 pre-/post-transplantation. The complexity of T-LGLL expansion post-transplantation might be due to several mechanisms including active viral infections, latent oncogenic viral reactivation and graft allo-antigenic stimulation. However, in our cohort graft rejection or GvHD was encountered in a few patients (2 allo-HSCT recipients). Autoimmune conditions were present in 50% of SOT recipients (n=4/ 8, including RA, ulcerative colitis, systemic lupus erythematosus). Some of our patients also had low immunoglobulin levels. Overt EBV (post-transplant lymphoproliferative disorder) and CMV reactivation was diagnosed in only 27% (4/15) of the patients. In sum we report the long term follow up of a cohort of T-LGLL and emphasize the expansion of T-LGLL post-transplant highlighting the difficulty in assigning one unique origin of LGLL. Disclosures Hill: Genentech: Consultancy, Research Funding; Takeda: Research Funding; Celegene: Consultancy, Honoraria, Research Funding; Kite: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Consultancy, Honoraria; Amgen: Research Funding; Pharmacyclics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; TG therapeutics: Research Funding; AstraZeneca: Consultancy, Honoraria. Majhail:Atara Bio: Consultancy; Mallinckrodt: Honoraria; Nkarta: Consultancy; Anthem, Inc.: Consultancy; Incyte: Consultancy. Sekeres:Syros: Membership on an entity's Board of Directors or advisory committees; Millenium: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Maciejewski:Alexion: Consultancy; Novartis: Consultancy.

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Impact of Modified Thalidomide Dosing in Bortezomib/Thalidomide/Dexamethasone for Patients with Newly Diagnosed Multiple Myeloma Who Are Transplant-Eligible: A Matching-Adjusted Indirect Comparison

Blood ◽

10.1182/blood-2019-122775 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4739-4739

Author(s):

Pieter Sonneveld ◽

Maria-Victoria Mateos ◽

Adrián Alegre ◽

Thierry Facon ◽

Cyrille Hulin ◽

...

Keyword(s):

Peripheral Neuropathy ◽

Board Of Directors ◽

Research Funding ◽

Indirect Comparison ◽

Employment Equity ◽

Advisory Committees ◽

Post Transplant ◽

Post Induction ◽

Adjusted Indirect Comparison ◽

Equity Ownership

Introduction: For patients with newly diagnosed multiple myeloma (NDMM) who are transplant-eligible, bortezomib/thalidomide/dexamethasone (VTd) is a standard of care (SoC) for induction and consolidation therapy. Clinical practice has evolved to use a modified VTd dose (VTd-mod; 100 mg thalidomide daily), which is reflected in recent treatment guidelines. As VTd-mod has become a real-world SoC, a matching-adjusted indirect comparison (MAIC) of the VTd-mod dose from recent clinical trials versus the dose included in the label (VTd-label; ramp up to 200 mg thalidomide daily) was performed to understand the effect on efficacy of modified VTd dosing for patients with NDMM who are transplant-eligible. Methods: For each outcome (overall survival [OS], progression-free survival [PFS], overall response rates [ORR] post-induction and post-transplant, and rate of peripheral neuropathy), a naïve comparison and a MAIC were performed. Data for VTd-label were obtained from the phase 3 PETHEMA/GEM study (Rosiñol L, et al. Blood. 2012;120[8]:1589-1596). Data for VTd-mod were pooled from the phase 3 CASSIOPEIA study (Moreau P, et al. Lancet. 2019;394[10192]:29-38) and the phase 2 NCT00531453 study (Ludwig H, et al. J Clin Oncol. 2013;31[2]:247-255). Patient-level data for PETHEMA/GEM and CASSIOPEIA were used to generate outcomes of interest and were validated against their respective clinical study reports; aggregate data for NCT00531453 were extracted from the primary publication. Matched baseline characteristics were age, sex, ECOG performance status, myeloma type, International Staging System (ISS) stage, baseline creatinine clearance, hemoglobin level, and platelet count. Results: Patients received VTd-mod (n = 591) or VTd-label (n = 130). After matching, baseline characteristics were similar across groups. For OS, the naïve comparison and the MAIC showed that VTd-mod was non-inferior to VTd-label (MAIC HR, 0.640 [95% CI: 0.363-1.129], P = 0.121; Figure 1A). VTd-mod significantly improved PFS versus VTd-label in the naïve comparison and MAIC (MAIC HR, 0.672 [95% CI: 0.467-0.966], P = 0.031; Figure 1B). Post-induction ORR was non-inferior for VTd-mod versus VTd-label (MAIC odds ratio, 1.781 [95% CI: 1.004-3.16], P = 0.065). Post-transplant, VTd-mod demonstrated superior ORR in both the naïve comparison and MAIC (MAIC odds ratio, 2.661 [95% CI: 1.579-4.484], P = 0.001). For rates of grade 3 or 4 peripheral neuropathy, the naïve comparison and MAIC both demonstrated that VTd-mod was non-inferior to VTd-label (MAIC rate difference, 2.4 [⁻1.7-6.49], P = 0.409). Conclusions: As naïve, indirect comparisons are prone to bias due to patient heterogeneity between studies, a MAIC can provide useful insights for clinicians and reimbursement decision-makers regarding the relative efficacy and safety of different treatments. In this MAIC, non-inferiority of VTd-mod versus VTd-label was demonstrated for OS, post-induction ORR, and peripheral neuropathy. This analysis also showed that VTd-mod significantly improved PFS and ORR post-transplant compared with VTd-label for patients with NDMM who are transplant-eligible. A limitation of this analysis is that unreported or unobserved confounding factors could not be adjusted for. Disclosures Sonneveld: Takeda: Honoraria, Research Funding; SkylineDx: Research Funding; Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; BMS: Honoraria; Amgen: Honoraria, Research Funding; Karyopharm: Honoraria, Research Funding. Mateos:Janssen, Celgene, Takeda, Amgen, Adaptive: Honoraria; AbbVie Inc, Amgen Inc, Celgene Corporation, Genentech, GlaxoSmithKline, Janssen Biotech Inc, Mundipharma EDO, PharmaMar, Roche Laboratories Inc, Takeda Oncology: Other: Advisory Committee; Janssen, Celgene, Takeda, Amgen, GSK, Abbvie, EDO, Pharmar: Membership on an entity's Board of Directors or advisory committees; Amgen Inc, Celgene Corporation, Janssen Biotech Inc, Takeda Oncology.: Speakers Bureau; Amgen Inc, Janssen Biotech Inc: Other: Data and Monitoring Committee. Alegre:Celgene, Amgen, Janssen, Takeda: Membership on an entity's Board of Directors or advisory committees. Facon:Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Hulin:celgene: Consultancy, Honoraria; Janssen, AbbVie, Celgene, Amgen: Honoraria. Hashim:Ingress-Health: Employment. Vincken:Janssen: Employment, Equity Ownership. Kampfenkel:Janssen: Employment, Equity Ownership. Cote:Janssen: Employment, Equity Ownership. Moreau:Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria.

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Primary Plasma Cell Leukemia Outcomes Remain Dismal Despite Novel Agents and Hematopoietic Cell Transplantation

Blood ◽

10.1182/blood-2019-127049 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 266-266

Author(s):

Sagar Patel ◽

Saulius K. Girnius ◽

Binod Dhakal ◽

Lohith Gowda ◽

Raphael Fraser ◽

...

Keyword(s):

High Risk ◽

Board Of Directors ◽

Plasma Cell ◽

Research Funding ◽

Hematopoietic Cell Transplantation ◽

Disease Status ◽

Cell Leukemia ◽

Advisory Committees ◽

Primary Plasma Cell Leukemia ◽

Equity Ownership

Background Primary plasma cell leukemia (pPCL) is a rare plasma cell neoplasm with a high mortality rate. There have been improvements in multiple myeloma (MM) outcomes with novel induction agents and use of hematopoietic cell transplantation (HCT) with maintenance, but similar progress has not been reported for pPCL. We examined the outcomes of pPCL patients receiving novel agents with autologous (autoHCT) or allogeneic (alloHCT) approaches as reported to the Center for International Blood and Marrow Transplant Research (CIBMTR) in the modern era. Methods From 2008 to 2015, 348 pPCL pts underwent HCT (N = 277 - autoHCT and 71 - alloHCT) with 45% and 48% having research level data available, respectively. Cumulative incidences of non-relapse mortality (NRM) and relapse/progression (REL), and probability of progression-free survival (PFS) and overall survival (OS) were calculated. Cox multivariate regression was used to model survival after autoHCT only. Median follow-up in autoHCT and alloHCT was 48 and 60 months, respectively. Results AutoHCT Cohort Median age was 60 years and 93% received HCT within 12 months of diagnosis with 76% after a single line of induction (Table 1). 35% had high risk cytogenetics. 23% received bortezomib, doxorubicin, cisplatin, cyclophosphamide, and etoposide (VDPACE). Moreover, 40% received bortezomib (BTZ) and immunomodulatory drug (IMIID)-based triplets. Disease status at HCT was VGPR or better in 47%. 27% received maintenance therapy. At 4 years post-HCT, NRM was 7% (4-11%), REL 76% (69-82%), PFS 17% (13-23%), and OS 28% (22-35%) (Figures 1A, 2A, 2B). Disease status ≥VGPR at HCT and Karnofsky Performance Score >90 significantly predicted superior OS in multivariate analysis. AlloHCT Cohort Median age was 53 years and 89% received HCT within 12 months of diagnosis (Table 1). 61% received a single alloHCT, while 39% used auto-alloHCT tandem approach. 42% had high-risk cytogenetics. 61% received total body irradiation with 44% receiving myeloablative conditioning. Use of VDPACE was higher at 41% in this cohort. VGPR status at HCT was similar (48%), while maintenance was used less often (12%). Grade II-IV acute GVHD occurred in 30% and chronic GVHD in 45%. At four years post-HCT, NRM was 12% (5-21%), REL 69% (56-81%), PFS 19% (10-31%), and OS 31% (19-44%) (Figures 1A, 1B, 2A, 2B). There were no differences in outcomes based on type of HCT. A comparison of post-HCT outcomes of CIBMTR pPCL patients from 1995 to 2006 showed that PFS and OS outcomes are inferior despite lower NRM in this modern cohort (Mahindra et al. Leukemia. 2012). In addition, analysis of SEER (1995-2009) and CIBMTR databases showed that use of HCT increased from 12% (7-21%) in 1995 to 46% (34-64%) in 2009. Conclusion More newly diagnosed pPCL patients are receiving modern induction regimens translating into a higher proportion receiving HCT, but without significant further benefit post-HCT. Post-HCT relapse remains the biggest challenge and further survival in pPCL will likely need a combination of targeted and cell therapy approaches. This study provides a benchmark for future HCT studies for pPCL. Disclosures Girnius: Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Genentech: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Dhakal:Takeda: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria. Shah:University of California, San Francisco: Employment; Indapta Therapeutics: Equity Ownership; Genentech, Seattle Genetics, Oncopeptides, Karoypharm, Surface Oncology, Precision biosciences GSK, Nektar, Amgen, Indapta Therapeutics, Sanofi: Membership on an entity's Board of Directors or advisory committees; Celgene, Janssen, Bluebird Bio, Sutro Biopharma: Research Funding; Poseida: Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Nkarta: Consultancy, Membership on an entity's Board of Directors or advisory committees; Kite: Consultancy, Membership on an entity's Board of Directors or advisory committees; Teneobio: Consultancy, Membership on an entity's Board of Directors or advisory committees. Qazilbash:Amgen: Consultancy, Other: Advisory Board; Bioclinical: Consultancy; Autolus: Consultancy; Genzyme: Other: Speaker. Kumar:Celgene: Consultancy, Research Funding; Takeda: Research Funding; Janssen: Consultancy, Research Funding. D'Souza:EDO-Mundapharma, Merck, Prothena, Sanofi, TeneoBio: Research Funding; Prothena: Consultancy; Pfizer, Imbrium, Akcea: Membership on an entity's Board of Directors or advisory committees. Hari:BMS: Consultancy, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria; Kite: Consultancy, Honoraria; Amgen: Research Funding; Spectrum: Consultancy, Research Funding; Sanofi: Honoraria, Research Funding; Cell Vault: Equity Ownership; AbbVie: Consultancy, Honoraria.

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Association of MHC Class I Chain-Related Gene a (MICA) Polymorphisms with Allogeneic Hematopoietic Cell Transplantation Outcomes in Acute Myeloid Leukemia

Blood ◽

10.1182/blood-2018-99-112745 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 2075-2075

Author(s):

Sagar S. Patel ◽

Betty K. Hamilton ◽

Lisa Rybicki ◽

Dawn Thomas ◽

Arden Emrick ◽

...

Keyword(s):

Board Of Directors ◽

Binding Affinity ◽

Myeloid Leukemia ◽

Research Funding ◽

Somatic Mutations ◽

Hematopoietic Cell Transplantation ◽

Advisory Committees ◽

Post Transplant ◽

Transplant Outcomes ◽

Nkg2d Receptor

Abstract Background MHC class I chain-related gene A (MICA) is a polymorphic ligand of the natural killer (NKG2D) receptor on immune effector cells. The activating NKG2D receptor controls immune responses by regulating NK cells, NKT cells and γδ-T cells. Dimorphisms at sequence position 129 of the MICA gene confers varying levels of binding affinity to NKG2D receptor. MICA previously has been associated with post-allogeneic hematopoietic cell transplantation (alloHCT) outcomes including graft-versus-host-disease (GvHD), infection, and relapse. However, it is unclear how MICA interacts with cytogenetic and somatic mutations in regards to these outcomes in acute myeloid leukemia (AML). Methods We conducted a single center, retrospective analysis of adult AML patients in first or second complete remission (CR1, CR2), who underwent T-cell replete matched related or unrelated donor alloHCT. Analysis was limited to those who had MICA data available for donors and recipients. In addition to cytogenetic risk group stratification by European LeukemiaNet criteria (Döhner H, et al, Blood 2016), a subset of patients had a 36-gene somatic mutation panel assessed prior to alloHCT by next-generation sequencing. Dimorphisms at the MICA-129 position have previously been categorized as weaker (valine/valine: V/V), heterozygous (methionine/valine: M/V), or stronger (methionine/methionine: M/M) receptor binding affinity. Fine and Gray or Cox regression was used to identify the association of MICA and outcomes with results as hazard ratios (HR) and 95% confidence intervals (CI). Results From 2000 - 2017, 131 AML patients were identified meeting inclusion criteria. Median age at transplant was 54 years (18-74), with 98% Caucasian. Disease status at transplant included 78% CR1 and 22% CR2. Cytogenetic risk stratification showed 13% of patients as favorable, 56% as intermediate, and 31% as adverse-risk. The five most common somatic mutations were FLT3 (15%), NPM1 (14%), DNMT3A (11%), TET2 (7%), and NRAS (6%). 60% of patients had a related donor. A myeloablative transplant was performed in 84% of patients and 53% had a bone marrow graft source. The most common conditioning regimen used was busulfan/cyclophosphamide (52%). 12% of patients were MICA mismatched with their donor. The distribution of donor MICA-129 polymorphisms were 41% V/V, 53% M/V, and 6% M/M. In univariable analysis, donor-recipient MICA mismatch tended to be associated with a lower risk of infection (HR 0.49, CI 0.23-1.02, P=0.06) and grade 2-4 acute GvHD (HR 0.25, CI 0.06-1.04, P=0.06) but was not associated with other post-transplant outcomes. In multivariable analysis, donor MICA-129 V/V was associated with a higher risk of non-relapse mortality (NRM) (HR 2.02, CI 1.01-4.05, P=0.047) (Figure 1) along with increasing patient age at transplant (HR 1.46, CI 1.10-1.93, p=0.008) and the presence of a TET2 mutation (HR 6.00, CI 1.77-20.3, P=0.004). There were no differences between the V/V and the M/V+M/M cohorts regarding somatic mutational status, cytogenetics and other pre-transplant characteristics and post-transplant outcomes. With a median follow-up of 65 months for both cohorts, 45% vs. 49% of patients remain alive, respectively. The most common causes of death between the V/V and the M/V+M/M cohorts was relapse (38% vs. 62%) and infection (31% vs. 8%), respectively. Conclusion While previous studies have demonstrated associations of somatic mutations and cytogenetics with survival outcomes after alloHCT for AML, we observed mutations in TET2 and the V/V donor MICA-129 polymorphism to be independently prognostic for NRM. Mechanistic studies may be considered to assess for possible interactions of TET2 mutations with NK cell alloreactivity. The weaker binding affinity to the NKG2D receptor by the V/V phenotype may diminish immune responses against pathogens that subsequently contribute to higher NRM. These observations may have implications for enhancing patient risk stratification prior to transplant and optimizing donor selection. Future investigation with larger cohorts interrogating pre-transplant AML somatic mutations with MICA polymorphisms on post-transplant outcomes may further elucidate which subsets of patients may benefit most from transplant. Disclosures Nazha: MEI: Consultancy. Mukherjee:Pfizer: Honoraria; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Projects in Knowledge: Honoraria; BioPharm Communications: Consultancy; Bristol Myers Squib: Honoraria, Speakers Bureau; Takeda Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; LEK Consulting: Consultancy, Honoraria; Aplastic Anemia & MDS International Foundation in Joint Partnership with Cleveland Clinic Taussig Cancer Institute: Honoraria. Advani:Amgen: Research Funding; Pfizer: Honoraria, Research Funding; Glycomimetics: Consultancy; Novartis: Consultancy. Carraway:Novartis: Speakers Bureau; Balaxa: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz: Speakers Bureau; FibroGen: Consultancy; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Speakers Bureau. Gerds:Apexx Oncology: Consultancy; Celgene: Consultancy; Incyte: Consultancy; CTI Biopharma: Consultancy. Sekeres:Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees. Maciejewski:Apellis Pharmaceuticals: Consultancy; Ra Pharmaceuticals, Inc: Consultancy; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Ra Pharmaceuticals, Inc: Consultancy; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Apellis Pharmaceuticals: Consultancy. Majhail:Incyte: Honoraria; Anthem, Inc.: Consultancy; Atara: Honoraria.

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Role of Remission Status and Prior Transplant in Optimizing Survival Outcomes Following Allogeneic Hematopoietic Stem Transplantation (HSCT) in Patients Who Received Inotuzumab Ozogamicin (INO) for Relapsed / Refractory (R/R) Acute Lymphoblastic Leukemia (ALL)

Blood ◽

10.1182/blood.v130.suppl_1.886.886 ◽

2017 ◽

Vol 130 (Suppl_1) ◽

pp. 886-886

Author(s):

Partow Kebriaei ◽

Matthias Stelljes ◽

Daniel J. DeAngelo ◽

Nicola Goekbuget ◽

Hagop M. Kantarjian ◽

...

Keyword(s):

Board Of Directors ◽

Survival Probability ◽

Research Funding ◽

Employment Equity ◽

Inotuzumab Ozogamicin ◽

Advisory Committees ◽

Allogeneic Hsct ◽

Post Transplant ◽

Equity Ownership

Abstract Introduction: Attaining complete remission (CR) prior to HSCT is associated with better outcomes post-HSCT. Inotuzumab ozogamicin (INO), an anti-CD22 antibody conjugated to calicheamicin, has shown significantly higher remission rates (CR/CRi and MRD negativity) compared with standard chemotherapy (SC) in patients (pts) with R/R ALL (Kantarjian et al. N Engl J Med. 2016). Pts treated with INO were more likely to proceed to HSCT than SC, which allowed for a higher 2-yr probability of overall survival (OS) than patients receiving SC (39% vs 29%). We investigated the role of prior transplant and proceeding directly to HSCT after attaining remission from INO administration as potential factors in determining post-HSCT survival to inform when best to use INO in R/R ALL patients. Methods: The analysis population consisted of R/R ALL pts who were enrolled and treated with INO and proceeded to allogeneic HSCT as part of two clinical trials: Study 1010 is a Phase 1/2 trial (NCT01363297), while Study 1022 is the pivotal randomized Phase 3 (NCT01564784) trial. Full details of methods for both studies have been previously published (DeAngelo et al. Blood Adv. 2017). All reference to OS pertains to post-HSCT survival defined as time from HSCT to death from any cause. Results: As of March 2016, out of 236 pts administered INO in the two studies (Study 1010, n=72; Study 1022, n=164), 101 (43%) proceeded to allogeneic HSCT and were included in this analysis. Median age was 37 y (range 20-71) with 55% males. The majority of pts received INO as first salvage treatment (62%) and 85% had no prior SCT. Most pts received matched HSCTs (related = 25%; unrelated = 45%) with peripheral blood as the predominant cell source (62%). The conditioning regimens were mainly myeloablative regimens (60%) and predominantly TBI-based (62%). Dual alkylators were used in 13% of pts, while thiotepa was used in 8%. The Figure shows post-transplant survival in the different INO populations: The median OS post-HSCT for all pts (n=101) who received INO and proceeded to HSCT was 9.2 mos with a 2-yr survival probability of 41% (95% confidence interval [CI] 31-51%). In patients with first HSCT (n=86) the median OS post-HSCT was 11.8 mos with a 2-yr survival probability of 46% (95% CI 35-56%). Of note, some patients lost CR while waiting for HSCT and had to receive additional treatments before proceeding to HSCT (n=28). Those pts who went directly to first HSCT after attaining remission with no intervening additional treatment (n=73) fared best, with median OS post-HSCT not reached with a 2-yr survival probability of 51% (95% CI 39-62%). In the latter group, 59/73 (80%) attained MRD negativity, and 49/73 (67%) were in first salvage therapy. Of note, the post-HSCT 100-day survival probability was similar among the 3 groups, as shown in the Table. Multivariate analyses using Cox regression modelling confirmed that MRD negativity during INO treatment and no prior HSCT were associated with lower risk of mortality post-HSCT. Other prognostic factors associated with worse OS included older age, higher baseline LDH, higher last bilirubin measurement prior to HSCT, and use of thiotepa. Veno-occlusive disease post-transplant was noted in 19 of the 101 pts who received INO. Conclusion: Administration of INO in R/R ALL pts followed with allogeneic HSCT provided the best long-term survival benefit among those who went directly to HSCT after attaining remission and had no prior HSCT. Disclosures DeAngelo: Glycomimetics: Research Funding; Incyte: Consultancy, Honoraria; Blueprint Medicines: Honoraria, Research Funding; Takeda Pharmaceuticals U.S.A., Inc.: Honoraria; Shire: Honoraria; Pfizer Inc.: Consultancy, Honoraria, Research Funding; Novartis Pharmaceuticals Corporation: Consultancy, Honoraria, Research Funding; BMS: Consultancy; ARIAD: Consultancy, Research Funding; Immunogen: Honoraria, Research Funding; Celgene: Research Funding; Amgen: Consultancy, Research Funding. Kantarjian: Novartis: Research Funding; Amgen: Research Funding; Delta-Fly Pharma: Research Funding; Bristol-Meyers Squibb: Research Funding; Pfizer: Research Funding; ARIAD: Research Funding. Advani: Takeda/ Millenium: Research Funding; Pfizer: Consultancy. Merchant: Pfizer: Consultancy, Research Funding. Stock: Amgen: Consultancy; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees. Wang: Pfizer: Employment, Equity Ownership. Zhang: Pfizer: Employment, Equity Ownership. Loberiza: Pfizer: Employment, Equity Ownership. Vandendries: Pfizer: Employment, Equity Ownership. Marks: Pfizer: Consultancy, Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Speakers Bureau.

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