scholarly journals Characterization of Patients with Multiple Myeloma in Long- Term Remission

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4508-4508 ◽  
Author(s):  
Raphael K. Lutz ◽  
Katharina Kriegsmann ◽  
Mohamed H.S. Awwad ◽  
Carsten Müller-Tidow ◽  
Gerlinde Egerer ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Single Cell ◽  
Research Funding ◽  
High Dose ◽  
Disease Course ◽  
Monoclonal Protein ◽  
Single Cell Rna Sequencing ◽  
Indolent Disease

Abstract INTRODUCTION: Multiple Myeloma is still considered an incurable disease despite the development of new therapy options. However, there is a small fraction of patients achieving a long- term remission (LTR) after induction therapy followed by high dose chemotherapy and autologous stem cell transplantation (ASCT). Such patients that are still in complete remission or experience an indolent disease course over many years after high dose therapy are referred to as functionally cured. To date, it is still unclear which patients experience a long term disease control. METHODS: We have screened our Myeloma register for patients that experienced a LTR over 7 years after high dose chemotherapy followed by ASCT. Characteristics of patients that fit to these criteria have been analyzed in detail. The current disease state was evaluated according to the IMWG criteria. Using the Next Generation Flow technique from Cytognos, bone marrow samples from the patients were examined for minimal residual disease (MRD, sensitivity <10-5). To further characterize the bone marrow environment of myeloma patients in LTR, we currently perform a quantitative analysis of the lymphocyte compartment in peripheral blood and bone marrow using flow cytometry. Moreover, bone marrow mononuclear cells are currently being characterized using the single cell RNA sequencing approach by 10X Genomics. RESULTS: We have identified 24 living patients with ongoing remission from 7 till 17 years after high dose therapy and autologous stem cell transplantation. Patients' characteristics are summarized in Table 1. Unexpectedly, 10 patients had a poor prognosis score at first diagnosis (6 patients with ISS score II and 4 patients with ISS score III). Furthermore, the average tumor burden, determined by plasma cell infiltration of bone marrow at initial diagnosis, was remarkably high with 49.5 %. 4 patients had high risk cytogenetics (3 patients with TP53/del17p and 1 patient with t(4;14)). Regarding the depth of response, the 24 patients were subdivided into 3 groups (Table 2). 9 of 24 patients had a detectable monoclonal protein in serum with an indolent disease course. 15 of 24 patients had no detectable monoclonal protein in serum. Of note, MRD assessment of the bone marrow by Next Generation Flow revealed MRD positivity in 4 of 15 patients. Preliminary data using flow cytometry and single cell RNA sequencing suggest a unique immunological profile of the different patient cohorts in LTR. CONCLUSION: Patients with multiple myeloma in LTR can be subdivided into 3 groups: patients with detectable monoclonal protein but indolent disease course, patients in Flow MRD negative complete remission and patients in Flow MRD positive remission. A deep analysis of patients' peripheral blood and bone marrow by flow cytometry and single cell RNA sequencing is currently being performed focusing on the immunological signature of the different patient cohorts. Preliminary results suggest a unique immunophenotype which is possibly associated to long- term disease control. Data will be presented at the meeting. Disclosures Kriegsmann: BMS: Research Funding; Celgene: Research Funding. Raab:BMS: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding. Durie:Janssen: Consultancy; Celgene: Consultancy; Amgen: Consultancy; Takeda: Consultancy. Goldschmidt:Takeda: Consultancy, Research Funding; Mundipharma: Research Funding; Novartis: Honoraria, Research Funding; Chugai: Honoraria, Research Funding; Sanofi: Consultancy, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Research Funding; Adaptive Biotechnology: Consultancy; ArtTempi: Honoraria.

scholarly journals The Necessary for Long-Term Follow-up of Mutated Genes and Clonal Evolutions in Multiple Myeloma Combined with cfDNA Assay

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 5515-5515
Author(s):  
Yuko Mishima ◽  
Yuji Mishima ◽  
Masahiro Yokoyama ◽  
Noriko Nishimura ◽  
Yoshiharu Kusano ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Genomic Dna ◽  
Research Funding ◽  
Somatic Mutations ◽  
Clinical Course ◽  
Bone Marrow Aspiration ◽  
Long Term Follow Up

Introduction)Somatic mutations in multiple myeloma (MM) are strongly related to the clinical outcome and clonal evolution over the clinical course, and are a major problem. From a clinical viewpoint, although numerous novel drugs have been utilized, achieving long-lasting and complete remission remains difficult. Recent studies have elucidated the mutated genes using next-generation sequencing, and have examined how clonal change can be acquired in myeloma. In this study, we traced the transition of the somatic mutations of bone marrow tumor cells in patients with MM over a long-term follow-up. Furthermore, we compared the somatic mutations found in serum cell-free DNA (cfDNA) and mutated genes obtained from bone marrow myeloma cells. Material and Methods)Patients diagnosed with multiple myeloma who provided written informed consent to participate in the study were enrolled. Patients were treated by immuno-chemotherapy with or without radiation between 2000 and 2017 at our institute. Bone marrow aspiration and biopsy were performed at the time of diagnosis and upon disease progression. Around the time of bone marrow aspiration, serum was obtained from a peripheral blood sample for cfDNA analysis. Myeloma cells were separated from bone marrow samples with MicroBeads of CD138 antibody and genomic DNA was extracted. The peripheral blood samples derived from myeloma patients. The cfDNA was extracted from the serum using a Maxwell RSC cfDNA Plasma kit. Using genomic DNA derived from cfDNA and bone marrow, multiplex polymerase chain reaction (PCR) was performed, and a sequence library was then constructed with an Ion Custom Amplicon panel. The panel for the sequence library was designed using an Ion AmpliSeq DesignerTM. 126 targeted genes were selected. The genomes were sequenced using the Ion ProtonTM System. This protocol was approved by the institutional review board and the Genomic Review Board of the Japanese Foundation for Cancer Research. Result)We followed 7 patients' long term-clinical course and the transition of mutations (8.5 year average). The expression of myeloma driver genes, such as RAS, BRAF, and MYC, were not critical. We did, however, detect a relationship between an increase in the dominant mutated gene, such as TP53, DIS3, FAM46C, KDM6B, and EGR1 and poor prognosis in patients with myeloma. Next, we calculated the cfDNA concentrations from 34 cases. The cfDNA concentrations were significantly higher than 10 control cases (average 62.0 ng/mL (0-200 ng/mL) and 8.18 ng/mL (4.3-14.1 ng/mL), P=0.0046). The 2.5 year-progression free survival (PFS) during the first treatment of MM were tend to be poorer in the group with cfDNA>50 ng/mL (72.9%) than the group with cfDNA<50 ng/mL(25.9%), however there are no statistical significance (P = 0.15).We caluculated concordance rate of derived mutations from bone marrow MM cells and cfDNA in 7 cases. The somatic mutations found in serum cell-free DNA (cfDNA) and bone marrow MM cells were determined the correlation coefficients. However, there are few difference expression pattern in each source. In cfDNA assay, CREEP, EGR1, HDAC4, HDAC6, and JMJD1C were highly expressed as 57.1% (4/7) - 85.7% (6/7), and these results were almost the same as those for bone marrow MM cells. On the other hand, KDM1A (85.7%), PI3KCD (71.4%), and KDM3B (57.1%) were highly detected in cfDNA, although those were not frequently expressed in bone marrow. Discussion)Our data demonstrate the importance of the long-term follow-up of somatic mutations during the clinical course of myeloma. Serum cfDNA is a useful alternative source for detecting somatic mutations in MM patients during long-term follow-up. Disclosures Mishima: Chugai-Roche Pharmaceuticals Co.,Ltd.: Consultancy. Yokoyama:Chugai-Roche Pharmaceuticals Co.,Ltd.: Consultancy. Nishimura:Chugai-Roche Pharmaceuticals Co.,Ltd.: Consultancy; Celgene K.K.: Honoraria. Hatake:Celgene K.K.: Research Funding; Janssen Pharmaceutical K.K.: Research Funding; Takeda Pharmaceutical Co.,Ltd.: Honoraria. Terui:Bristol-Myers Squibb K.K.: Research Funding; Bristol-Myers Squibb, Celgene, Janssen, Takeda, MSD, Eisai, Ono, and Chugai-Roche Pharmaceuticals Co.,Ltd.: Honoraria.

A Phase III Randomized Trial of Thalidomide (THAL) Plus Zoledronic Acid (ZLD) Versus Zoledronic Acid Alone In Patients with Early Stage Multiple Myeloma (MC0289)

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3053-3053 ◽  
Author(s):  
Thomas E. Witzig ◽  
Sumithra Mandrekar ◽  
Kristen Detweiler-Short ◽  
Martha Q Lacy ◽  
Kristina Laumann ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Zoledronic Acid ◽  
Research Funding ◽  
Response Rate ◽  
Phase Iii ◽  
P Value ◽  
Monoclonal Protein ◽  
Duration Of Response ◽  
One Year

Abstract Abstract 3053 Background: Patients with smoldering multiple myeloma (SMM) have a higher chance of progression to active MM than patients with monoclonal gammopathy of undetermined significance (MGUS). Since active MM remains incurable and since patients with SMM can have a long time to requiring treatment, observation remains an option for these patients. Bisphosphonates can prevent the bone complications of myeloma. The immunomodulatory (IMiD) drugs are well-tolerated and have documented anti-tumor activity in active MM. We hypothesized that treatment with the IMiD THAL and a bisphosphonate (ZLD) would prolong the time to progression (TTP) over the control arm of ZLD alone. This is the first report of this phase III trial of THAL/ZLD vs ZLD alone for patients with untreated SMM. Goals: The primary goal of this trial was to compare the TTP between patients treated with THAL/ZLD versus ZLD alone in asymptomatic MM. Secondary goals were progression rate at one year, response rate, duration of response, time to next therapy, and toxicity. Methods: Patients were required to have measurable disease as defined by either a serum monoclonal protein >1.0 g by protein electrophoresis or nephelometry or >200 mg of monoclonal protein in the urine on 24 hour electrophoresis or a measurable soft tissue plasmacytoma; >10% plasma cells as measured on the bone marrow aspirate, bone marrow biopsy, or labeling index; absolute neutrophil count >1500/μL; platelet count >100,000/μL; creatinine <2.0 mg/dL, and a performance status of 0, 1, or 2. Patients could not have symptomatic MM that required chemotherapy. The statistical plan was to accrue 120 eligible patients (60 per arm) over 4 years and after a minimum follow-up of 12 months the study would provide >90% power at a type I error rate of 0.05 to detect an increase in the median TTP from 12 months (ZLD) to 24 months (THAL/ZLD), and >80% power to detect an increase in median TTP from 12 to 21 months). Results: The study was activated in July 2003 and closed March 2009 due to slow accrual. Sixty-eight patients (35 Thal/ZLD; 33 ZLD) with a median age 63 years (range, 47–84) were randomized. The median TTP for Thal/ZLD versus ZLD was 2.4 years versus 1.2 years, respectively, P=0.02 one-sided log-rank. After adjusting for pre-specified stratification factors, the hazard ratio for TTP was 2.2 (one-sided p value = 0.01, univariate stratified Cox PH model) for ZLD compared to Thal/ZLD. 89% of patients on the Thal/ZLD arm were progression-free survival (PFS) at one year compared to 55% on ZLD alone (one-sided p<0.001, chi-square). Similar results were obtained (Table and Figures) when the CRAB (calcium, renal, anemia, bone) criteria were applied. Confirmed response was evaluated using the first 12 months of treatment. In the Thal/ZLD arm the response rate was 31% with a median duration of response of 5.1 years (95% CI: 1.9 - NA). There were no confirmed responses in the ZLD alone arm. The median overall survival has not been reached for either arm. In regards to toxicity, no grade 5 adverse events (AEs) have been reported. Thirty patients have reported grade 3+ AEs (17 Thal/ZLD; 13 ZLD, Fisher's exact p-value 0.47). Eight patients have reported grade 4 adverse events (5 Thal/ZLD; 3 ZLD, Fisher's exact p-value 0.71). Overall, only one grade 4 event was felt to be at least possibly related to study treatment – grade 4 neutropenia in Thal/ZLD. Conclusions: While the trial did not meet its planned accrual goals, there was a significant improvement in improved in outcomes in the Thal/ZLD arm compared to control (ZLD). Thal/ZLD produces anti-tumor responses that are quite durable with the median response duration of over 5 years. ZLD alone did not produce any anti-tumor responses. This study indicates that a non-chemotherapy approach can be effective in SMM and may be a useful strategy to test in future studies. Disclosures: Off Label Use: Thalidomide for smoldering myeloma. Lacy:Celgene: Research Funding. Dispenzieri:Celgene: Honoraria, Research Funding; Binding Site: Honoraria. Kumar:Celgene: Consultancy, Research Funding; Millennium: Research Funding; Merck: Consultancy, Research Funding; Novartis: Research Funding; Genzyme: Consultancy, Research Funding; Cephalon: Research Funding. Gertz:Celgene: Honoraria; Millennium: Honoraria.

Light Chain Deposition Disease: Impact of Stem Cell Tranplant on Hematological Response Achievement.

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 4600-4600 ◽  
Author(s):  
Victor H Jimenez-Zepeda ◽  
Norman Franke ◽  
Andrew Winter ◽  
Donna E. Reece ◽  
Suzanne Trudel ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Stem Cell ◽  
Induction Therapy ◽  
Research Funding ◽  
Elevated Serum ◽  
High Dose ◽  
Light Chain Deposition Disease ◽  
Monoclonal Protein ◽  
Light Chain Deposition ◽  
High Dose Melphalan

Abstract Abstract 4600 Light chain deposition disease (LCDD) is a systemic disorder characterized by deposition of monoclonal light chains (LC) in different organs. A single clone of plasma cells is responsible for the overproduction of either kappa or rarely lambda LC. Renal dysfunction generally is the main feature but many organs could be affected. The treatment of LCDD has not been standardized and remains controversial because of the small number of patients reported in the literature. However, as LCDD is associated with plasma cell dyscrasias, patients have typically been treated with regimens used for multiple myeloma, most commonly melphalan (mel) and prednisone and VAD (Vincristine, Adriamycin and Dexamethasone). Here, we report our experience using High Dose Melphalan (HDM) with Autologous Stem Cell Transplant (ASCT) in five patients (pts) with LCDD. In addition, we report the use of Velcade (vel) as induction therapy in two patients before undergoing ASCT. Patients and Methods We retrospectively reviewed the records of all pts treated with HDM/ASCT at Princess Margaret Hospital between January 2004 and December 2009 and identified five pts with LCDD. Pretreatment evaluation included staging investigations: 1) complete blood cell counts, 2) complete biochemistry panel, 3) albumin and β2-microglobulin, 4) Blood and Urinary Monoclonal protein assessment including Free LC Assay; 5) skeletal survey. 6) Bone marrow aspirate and biopsy. Pts with LCDD and concurrent multiple myeloma were excluded. LCDD was diagnosed by renal biopsy in all pts with histology confirming characteristic linear monoclonal LC deposits along the tubular membrane staining for kappa and lambda chains on inmunofluorescence. All pts received induction therapy prior to consolidation with HDM/ASCT [dexamethasone (n=3) and vel plus dexamethasone (n=2)]. Assessment of hematologic response (HR) to treatment was based on modified EORTC consensus criteria. Results Pts characteristics are shown in Table 1. Two pts were male subjects; the median age was 55 (range 45–65). All five pts, had elevated serum FLC and an abnormal κ-to- λ ratio. All of the pts presented with kidney involvement. The monoclonal protein deposited in the kidney consisted of free κ-LC in four pts and free lambda LC in 1. Two pts received vel and dexamethasone (3 cycles) induction therapy achieving PR after 6 weeks of therapy and three received dexamethasone alone: 1 pt achieving a PR and 2 SD. All of them received a conditioning regimen of mel 200 mg/m2. Complete HR was seen in 3 pts and PR in 1 patient (ORR 80%, CR 60%). Transplanted pts had a median time to ANC ≥0.5 ×109/L of 12d (Range 12–13) and time to platelets ≥ 20 ×109/L was 14 days (Range 12–17). Median time to discharge was 17 days (range 13–30) and no pts exhibited engraftment syndrome. There was no mortality related to transplant. The most common grade 3/4 adverse events included: neutropenic fever (n=5); mucositis (n=2); and transient worsening in kidney function (n=1). All pts are alive and progression-free at a median follow-up of 20 months (range 7–37) from transplant. As kidney dysfunction represents the most prominent morbidity in LCDD, it is important to emphasize that the elevated serum creatinine was ameliorated in these pts after ASCT Conclusions LCDD is a rare condition and its management is controversial. In a few small series, investigators have reported that high-dose melphalan (HDM) followed by ASCT can be associated with beneficial results whereas toxicity remains acceptable in this group of pts. We report our experience using HDM and ASCT in pts with LCDD without concurrent myeloma, demonstrating feasibility and tolerability. Disclosures: Reece: Celgene: Honoraria, Research Funding. Chen:Celgene Corporation: Consultancy, Honoraria, Research Funding. Kukreti:Celgene: Honoraria.

Cryotherapy Reduces Mucositis in Multiple Myeloma Patients Receiving High-Dose Melphalan Conditioning Prior to Autologous Stem Cell Transplantation

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 4265-4265 ◽  
Author(s):  
Mabel Rodriguez ◽  
Nelly G. Adel ◽  
Sean Devlin ◽  
Sergio A Giralt ◽  
Heather Landau
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Stem Cell ◽  
Research Funding ◽  
High Dose ◽  
Cell Transplant ◽  
Grade 3 ◽  
High Dose Melphalan ◽  
Hospital Days ◽  
Severe Mucositis

Abstract Abstract 4265 Background: High-dose melphalan (MEL) followed by autologous stem cell support has been an integral component of multiple myeloma (MM) therapy since the 1980's. In general, high-dose melphalan is well-tolerated however grade 3 and 4 mucositis has been reported in up to 75% of patients (Lilleby et al. Bone Marrow Transpl, 2006). The efficacy of cryotherapy in preventing mucositis was initially documented in patients receiving infusional 5- fluorouracil (Rubenstein et al. Cancer, 2004). It is presumed that vasoconstriction reduces exposure of the oral mucosa to chemotherapy. Due to similar pharmacokinetic properties of melphalan including its short half life, cryotherapy has been used in MM patients undergoing MEL and stem cell transplant (SCT) with small series and one randomized trial supporting its use (Lilleby et al. Bone Marrow Transpl, 2006). At Memorial Sloan-Kettering Cancer Center, ice chips administered for 30 minutes before, during and after melphalan administration was adopted in March 2011 for all MM patients receiving MEL (≥ 140 mg/m2). In this study we sought to determine if the incidence of mucositis has been reduced since instituting cryotherapy into our standard practice. Methods: We retrospectively identified MM patients who received MEL 140 or 200 mg/m2 prior to SCT between January 1, 2009 and June 12, 2012 using our pharmacy database and electronic medical record. We analyzed two groups of patients by date of SCT and confirmed that patients transplanted prior to 3/2011 did not receive cryotherapy while all others did. Mucositis grade was recorded as documented by medical staff or determined by the investigators using the CTCAE version 4 criteria. Disease and treatment characteristics were collected in addition to narcotic use, total parenteral nutrition (TPN) requirement, and days of hospitalization. Fisher's exact test was used to compare the proportion of patients with mucositis, severe mucositis (defined as grade 3 or higher) and those requiring patient controlled analgesia (PCA), by cryotherapy use. Logistic regression was used to adjust for prior radiation and the number of prior lines of therapy. The number of hospital days was compared using a t-test. Results: During the study period, 214 patients underwent one or more autologous SCTs for MM; for patients who had more than one, only the initial SCT was included in this analysis. Of 214 patients, 85 (40%) received cryotherapy of whom 34% developed mucositis compared to 47% who did not receive cryotherapy (P = 0.08). Grade 3 mucositis was seen in 2% and 16% of patients who did and did not receive cryotherapy respectively (P = 0.004). No patient in either group developed grade 4 mucositis. After adjusting for radiation and lines of prior therapy the association between grade 3 mucositis and cryotherapy remained significant (OR: 0.13 (0.02, 0.47); P = 0.01). PCA use was lower in patients who received cryotherapy (19%) compared to those who did not (37%) (P = 0.01), with the median duration of use being 5 days in both groups. TPN was not required for any patient. Hospital days were similar in both groups (P = 0.88). Conclusion: Cryotherapy administration at the time of high-dose melphalan reduces the incidence of severe mucositis and PCA use. Cryotherapy is readily available and should be offered to all MM patients receiving ≥ 140 mg/m2 of melphalan. Disclosures: Landau: Millenium: Membership on an entity's Board of Directors or advisory committees, Research Funding; Onyx: Research Funding.

Study of MGUS-Series: Disease Evolution, Coexistant Disorders and Other Clinical Observations

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 5323-5323
Author(s):  
Dimitrios Maltezas ◽  
Nikolaou Eftychia ◽  
Paraskevi Papaioannou ◽  
Aikaterini Bitsani ◽  
Tatiana Tzenou ◽  
...  
Keyword(s):  
Bone Marrow ◽  
General Population ◽  
Plasma Cell ◽  
Research Funding ◽  
Common Finding ◽  
Benign Tumors ◽  
Disease Course ◽  
Disease Evolution ◽  
Monoclonal Protein ◽  
And Behavior

Abstract Introduction: Monoclonal Gammopathy of undetermined significance (MGUS) is an asymptomatic premalignant plasma cell disorder occurring mainly in the elderly population. Its evolution, association with various diseases and behavior is an interesting study field in an attempt to understand its pathogenesis and disease course. Aim: To study the grade of coexistence of non-malignant and malignant diseases along with disease evolution and behavior in patients with MGUS, diagnosed in a single center. Patients and methods:We studied 138 MGUS-patients that were diagnosed in our center and then followed up to a median of 36 months (6months - 22 years). Median age was 66 years (27-92 years). 57% were of female sex. Monoclonal heavy chain was IgG in 76%, IgA in 14% and IgM in 10% of the patients while 63% presented k-chain clonality. Non-malignant and malignant preexisting diseases were documented at the time point of MGUS-Diagnosis. Patients with B-NHL expressing monoclonal Protein were not classified as MGUS since malignant B-Lymphocytes can be responsible for its production. Results: 10.9% of the patients presented solid tumors. The most common malignancy was Prostate-Cancer in 8.5% of the male patients followed by Thyroid-Cancer which was present in 2.2% of the whole patient group.Hematological malignancies were existent in 10.9% of the patients. 4.3% presented myeloproliferative neoplasms while myelodysplastic syndromes were represented in 5% of the patients.18.1% of the patients presented with diverse benign tumors, 8% had been diagnosed with Diabetes Mellitus while 32.6% presented cardiovascular disease, mainly hypertension (23.2%). Hyperlipidemia was present in 8.7%. Finally 18.1% of the patients presented non-malignant thyroid disease, mainly hypothyroidism (10.9%) which is increased compared to the general population.17 MGUS-Patients (12%) presented disease evolution. 3 Patients evolved directly to multiple myeloma while 3 more evolved initially to smoldering myeloma (SMM) before developing overt myeloma. 8 patients evolved to SMM without any further progression. 2 patients with IgM-MGUS presented Waldenström's maroglobulinemia in the follow up while one patient developed a B-NHL. We performed a statistical analysis, where only abnormal serum free light chain ratio (sFLCR) was found to have a prognostic impact on MGUS-progression (p=0.03).Within this group of evolving MGUS-patients two of them presented a very remarkable course. The first one was diagnosed with MGUS while she was in remission after Hodgkin's Lymphoma. She evolved then to SMM confirmed by bone marrow biopsy with more than 10% plasma cell infiltration by immunohistochemistry. After being stable for several months, monoclonal protein was no longer detectable and plasma cells in the bone marrow were normal without any treatment. The second patient was initially diagnosed with MGUS with a high sFLCR of 60. She then evolved to SMM with further sFLCR-increase up to 100 but remained without treatment according to the guidelines at that time. Four years later she developed anemia and the final diagnosis was B-NHL. Conclusion: In our study group MGUS was associated with numerous malignant and non-malignant disorders. Hypothyroidism was a common finding, increased compared to the general population. MGUS-evolution was also observed however disease course was unexpected in some patients showing the heterogeneity of the disease. sFLCR was confirmed as a prognostic factor. Further study is necessary to investigate any possible implication of the above findings in the disease pathogenesis and course. Disclosures Kyrtsonis: Genesis: Honoraria; Millenium: Research Funding; Lilly: Research Funding; Amgen: Research Funding.

scholarly journals Single Cell RNA Sequencing Identifies Potential Molecular Indicators of Response to Melflufen in Multiple Myeloma

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1194-1194
Author(s):  
Philipp Sergeev ◽  
Sadiksha Adhikari ◽  
Juho J. Miettinen ◽  
Maiju-Emilia Huppunen ◽  
Minna Suvela ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Single Cell ◽  
Research Funding ◽  
Drug Sensitivity ◽  
Ex Vivo ◽  
Cell Populations ◽  
Drug Efflux ◽  
Single Cell Rna Sequencing ◽  
Differential Gene

Abstract Introduction Melphalan flufenamide (melflufen), is a novel peptide-drug conjugate that targets aminopeptidases and selectively delivers alkylating agents in tumors. Melflufen was recently FDA approved for the treatment of relapsed/refractory multiple myeloma (MM) patients. Considering the challenges in treating this group of patients, and the availability of several new drugs for MM, information that can support treatment selection is urgently needed. To identify potential indicators of response and mechanism of resistance to melflufen, we applied a multiparametric drug sensitivity assay to MM patient samples ex vivo and analyzed the samples by single cell RNA sequencing (scRNAseq). Ex vivo drug testing identified MM samples that were distinctly sensitive or resistant to melflufen, while differential gene expression analysis revealed pathways associated with response. Methods Bone marrow (BM) aspirates from 24 MM patients were obtained after written informed consent following approved protocols in compliance with the Declaration of Helsinki. BM mononuclear cells from 12 newly diagnosed (ND) and 12 relapsed/refractory (RR) patients were used for multi-parametric flow cytometry-based drug sensitivity and resistance testing (DSRT) evaluation to melflufen and melphalan, and for scRNAseq. Based on the results from the DSRT tests and drug sensitivity scores (DSS), we divided the samples into three groups - high sensitivity (HS, DSS &gt; 40 (melflufen) or DSS &gt; 16 (melphalan)), intermediate sensitivity (IS, 31 ≤ DSS ≤ 40 (melflufen) or 10 ≤ DSS ≤ 16 (melphalan)), and low sensitivity (LS, DSS &lt; 31 (melflufen) or DSS &lt; 10 (melphalan)). To identify genes, responsible for the general sensitivity to melphalan-based drugs we conducted differential gene expression (DGE) analyses separately for melphalan and melflufen focusing on the plasma cell populations, comparing gene expression between HS and LS samples for both drugs ("HS vs. LS melphalan" and "HS vs. LS for melflufen", respectively). In addition, to explain the increased sensitivity of RR samples, we conducted the DGE analysis for ND vs. RR samples and searched for similarities between these three datasets. Results DSRT data indicated that samples from RRMM patients were significantly more sensitive to melflufen compared to samples from NDMM (Fig. 1A). In addition, we observed that samples with a gain of 1q (+1q) were more sensitive to melflufen while those with deletion of 13q (del13q) appeared to be less sensitive, although these results lacked significance (Fig. 1A). After separating the samples into different drug sensitivity groups (HS, IS, LS), DGE analysis showed significant downregulation of the drug efflux and multidrug resistance protein family member ABCB9 in the melflufen HS group opposed to the LS group (2.2-fold, p &lt; 0.001). A similar pattern was detected for the melphalan HS vs. LS comparison suggesting that this alteration might be a common indicator of sensitivity to melphalan-based drugs. Furthermore, in the melflufen HS group we observed downregulation of the matrix metallopeptidase inhibitors TIMP1 and TIMP2 (3-fold and 1.6-fold, p &lt; 0.001, respectively), and cathepsin inhibitors CST3 and CSTB (3.2-fold and 1.3-fold, p &lt; 0.001, respectively) (Fig. 1B). This effect was observed in both "ND vs. RR" and "HS vs. LS for melflufen" comparisons, but not for melphalan, suggesting that these changes are associated with disease progression and specific indicators of sensitivity to melflufen. Moreover, gene set enrichment analysis (GSEA) showed activation of pathways related to protein synthesis, as well as amino acid starvation for malignant and normal cell populations in the HS group. Conclusion In summary, our results indicate that melflufen is more active in RRMM compared to NDMM. In addition, samples from MM patients with +1q, which is considered an indicator of high-risk disease, tended to be more sensitive to melflufen. Based on differential GSEA and pathway enrichment, several synergizing mechanisms could potentially explain the higher sensitivity to melflufen, such as decreased drug efflux and increased drug uptake. Although these results indicate potential indicators of response and mechanisms of drug efficacy, further validation of these findings is required using data from melflufen treated patients. Figure 1 Figure 1. Disclosures Slipicevic: Oncopeptides AB: Current Employment. Nupponen: Oncopeptides AB: Consultancy. Lehmann: Oncopeptides AB: Current Employment. Heckman: Orion Pharma: Research Funding; Oncopeptides: Consultancy, Research Funding; Novartis: Research Funding; Celgene/BMS: Research Funding; Kronos Bio, Inc.: Research Funding.

scholarly journals Integrated Single Cell Transcriptomics Defines an Engineered Niche Supporting Hematopoietic Stem Cell Development Ex Vivo

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3699-3699
Author(s):  
Brandon Hadland ◽  
Barbara Varnum-Finney ◽  
Stacey Dozono ◽  
Tessa Dignum ◽  
Cynthia Nourigat-Mckay ◽  
...  
Keyword(s):  
Stem Cell ◽  
Single Cell ◽  
Research Funding ◽  
Signal Pathways ◽  
Self Renewal ◽  
Hematopoietic Stem ◽  
Single Cell Rna Sequencing ◽  
Equity Ownership

During embryonic development, hematopoietic stem cells (HSC) arise from hemogenic endothelial cells (HEC) within arterial vessels such as the aorta of the AGM (aorta-gonad-mesonephros) region, in a process referred to as the endothelial to hematopoietic transition (EHT). Although numerous signal pathways have been implicated in EHT, the precise combination of niche-derived signals required to support the generation and self-renewal of functional, long-term engrafting HSC remains poorly defined. To elucidate the niche signals regulating HSC emergence, we used single cell RNA-sequencing to simultaneously analyze the global transcriptional profiles of HEC during their transition to HSC and the AGM-derived endothelial cell stroma (AGM-EC) that supports the generation and expansion of functional HSC. Trajectory analysis of single cell transcriptomes enabled reconstruction of EHT in pseudotime, revealing dynamics of gene expression, including genes encoding cell surface receptors and downstream pathways, during the process of HSC genesis and self-renewal in vivo and in vitro. Transcriptional profiles of niche AGM-EC enabled identification of corresponding ligands which serve to activate these receptors during HSC generation. We integrated this knowledge to engineer a stromal cell-free niche for generation of engrafting HSC from hemogenic precursors in vitro. Specifically, we defined serum-free conditions combining immobilized Notch1 and Notch2-specific antibodies to activate Notch receptors, recombinant VCAM1-Fc chimera or fibronectin fragment to bind VLA-4 integrin, recombinant interleukin-3, stem cell factor, thrombopoietin, and CXCL12 to activate their respective cytokine/chemokine receptors, and small molecule inhibition of TGF-β Receptor 1. We demonstrated that this engineered niche is sufficient to support the generation of functional HSC, as measured by long-term (24 week) multilineage engraftment after transplantation to immune-competent, lethally irradiated adult recipient mice, following culture of hemogenic precursors isolated from E9.5 to E10.5 murine embryos. The observed efficiency of generating long-term engrafting HSC, particularly from precursors derived from early embryonic stages before E10, was lower in engineered conditions compared with AGM-EC stroma, suggesting additional niche signal factors remain to be defined to optimally support HSC maturation and self-renewal in the engineered niche. Single cell RNA-sequencing of hematopoietic progeny generated following culture in the engineered niche demonstrated the formation of populations with transcriptional signatures of HSC, as well as multipotent and lineage-specific progenitors, comparable to those generated following co-culture with niche AGM-EC stroma. However, we observed relative overexpression of Notch target genes promoting early T-lymphoid fate in cells generated from the engineered niche compared to those from AGM-EC stroma. Incorporating stage-specific attenuation of Notch1 receptor activation with soluble Notch1 blocking antibody during culture was sufficient to limit markers of early T-cell precursors, suggesting that temporal titration of Notch signal activation could be used to further modulate HSC and T-lymphoid output in the engineered niche. Altogether, these studies enhance our understanding of the core signal pathways necessary for the embryonic development of functional HSC, with the potential to advance in vitro engineering of therapeutically relevant pluripotent stem cell-derived HSC in stromal cell-free culture. Disclosures Bernstein: Lyell Immunopharma: Consultancy, Equity Ownership, Patents & Royalties, Research Funding; Nohla Therapeutics: Consultancy, Equity Ownership, Patents & Royalties, Research Funding.

scholarly journals Single Cell Characterization of Myeloma and Its Precursor Conditions Reveals Transcriptional Signatures of Early Tumorigenesis

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2219-2219
Author(s):  
Rebecca Boiarsky ◽  
Nicholas Haradhvala ◽  
Romanos Sklavenitis-Pistofidis ◽  
Tarek H Mouhieddine ◽  
Jean-Baptiste Alberge ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Single Cell ◽  
Research Funding ◽  
Plasma Cells ◽  
Patient Specific ◽  
Early Disease ◽  
Bulk Analysis ◽  
Single Cell Rna Sequencing ◽  
Disease Stages

Abstract Our understanding of disease progression in multiple myeloma (MM) and its precursor conditions, monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM), is classically founded on bulk analysis studies. Low disease burden at the precursor stages has precluded comprehensive analyses of the transcriptomic events underlying malignant transformation. Here, we use single-cell RNA sequencing data from 29,387 bone marrow plasma cells from 26 patients with MGUS, SMM, or MM and 9 healthy controls to characterize the transcriptional transformation at each step of progression. Due to varying disease burdens, many samples contained a mixture of healthy and neoplastic plasma cells. We leveraged this impurity to perform a patient-specific characterization of the disease, comparing each patient's neoplastic and healthy plasma cells. This approach isolated the disease phenotype in each patient, which is usually confounded by biological and technical variability when comparing tumors to samples from healthy donors. We found that neoplastic cells from patients with MGUS and SMM already exhibit phenotypic changes similar to those of advanced myeloma. We observed upregulation of genes corresponding to known MM subtypes, such as CCND1 in patients with t(11;14) translocations and other known driver genes such as HIST1H1C. We also found universal downregulation of certain genes such as CD27, a member of the tumor necrosis factor receptor family associated with the differentiation of B cells into plasma cells, which may signify a common loss of a normal plasma phenotype across samples with different driver events and stages. Pathway analysis of differentially expressed genes further revealed that biological pathways related to myeloma were altered as early as MGUS. We observed that SMM patients with hyperdiploidy exhibit upregulation of ribosomal proteins, as reported in advanced disease. Upregulated genes in select MGUS and SMM samples were enriched for the eukaryotic translation initiation factor 3 (eIF3) complex, which plays important roles in translation, as well as proteasome activity, a function central to the survival of MM and targeted by therapies such as bortezomib. We observed enrichment of the E2F family of transcription factors in MGUS and SMM samples; these are master regulators of proliferation that have been suggested as therapeutic targets in myeloma. Five samples were enriched for genes associated with extracellular exosomes, which has been reported to play an important role in cancer cell signaling and to contribute to osteolysis and drug resistance in MM. Pathway enrichment of genes downregulated in neoplastic cell populations revealed weakened response to endoplasmic reticulum and oxidative stress, presumably allowing myeloma cells to tolerate high volumes of abnormal protein production without apoptosing. To further identify shared gene expression patterns across samples, we employed a Bayesian Non-Negative Matrix Factorization method to decompose our data into 31 gene signatures that capture its variability. In addition to recovering signatures corresponding to known MM subtypes, demonstrating that our method captures cohesive transcriptional networks, we find signatures that capture disease biology shared across subtypes. Most notably, we identified a signature that is active in healthy plasma cells across disease stages and dramatically lost in MM and precursor cells. The top genes in this signature include CD27 and CD79A, which are associated with the B cell lineage and whose downregulation may signify dedifferentiation of premalignant cells as early as MGUS, and JSRP1, CTSH, and HCST, genes as of yet unreported to be involved in plasma and MM cell biology. This phenotype would be obscured at early disease stages by bulk analysis. We validated the discovery and behavior of this signature in an external single-cell dataset from Ledergor et al. (Nature Medicine 2018). In summary, using single-cell RNA sequencing, we discovered that canonical MM pathways are altered as early as MGUS and identified a signature of genes which distinguishes healthy and neoplastic cells even at early disease stages. Our identification of patient-specific transcriptional changes as early as MGUS paves the way for future work exploring personalized treatment approaches prior to malignant disease. Disclosures Haradhvala: Constellation Pharmaceuticals a MorphoSys Company: Consultancy. Zavidij: Constellation Pharmaceuticals: Current Employment. Sontag: curai health: Current holder of individual stocks in a privately-held company; Takeda Pharmaceuticals: Research Funding; Genentech: Research Funding; IBM: Research Funding. Ghobrial: AbbVie, Adaptive, Aptitude Health, BMS, Cellectar, Curio Science, Genetch, Janssen, Janssen Central American and Caribbean, Karyopharm, Medscape, Oncopeptides, Sanofi, Takeda, The Binding Site, GNS, GSK: Consultancy. Getz: IBM, Pharmacyclics: Research Funding; Scorpion Therapeutics: Consultancy, Current holder of individual stocks in a privately-held company, Membership on an entity's Board of Directors or advisory committees.

scholarly journals Single Cell Transcriptomic Analysis of the Multiple Myeloma Bone Marrow Identifies a Unique Inflammatory Stromal Cell Population Associated with TNF Signaling

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 690-690
Author(s):  
Madelon M.E. de Jong ◽  
Zoltan Kellermayer ◽  
Natalie Papazian ◽  
M Duin ◽  
Annemiek Broyl ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Single Cell ◽  
Mesenchymal Stromal Cells ◽  
Stromal Cells ◽  
Research Funding ◽  
Stromal Cell ◽  
Gene Set Enrichment Analysis ◽  
Bone Marrow Niche ◽  
Cell Clusters

Background: In multiple myeloma, tumor cell survival, disease progression and therapy response are influenced by signals derived from the non-malignant bone marrow niche. This notwithstanding, a detailed in-vivo definition of the cells that define the multiple myeloma niche is lacking. Mesenchymal stromal cells are important niche constituents. Recent progress made with single cell transciptomics suggests that mesenchymal stromal cells are a dynamic population of cells that can exist as several subsets with functionally distinct activation and differentiation profiles. Aim: To identify mesenchymal stromal cell subsets specific for the multiple myeloma bone marrow niche, by comparing stromal cells from myeloma patients to non-cancer controls. Methods: The non-hematopoietic bone marrow niche was isolated from viably frozen bone marrow aspirates from 10 newly diagnosed multiple myeloma patients (6 hyperdiploid, 3 t(11;14) and 1 with deletion of 17p) and 2 non-cancer controls using high speed cell sorting. The purified cells were analyzed by 10X Genomics single cell sequencing directly post-thawing, without prior cell culture. From 10 multiple myeloma patients we generated single cell transcriptomes with an average read-depth of 20,000 reads per cell of in total 12,000 niche cells and from the 2 non-cancer controls a total of 3,500 niche cells. Transcriptomes were pooled and subjected to clustering analyses using the Seurat package for R to identify genetically distinct clusters of niche cells and changes in these clusters associated specifically with multiple myeloma. Results: The bioinformatical analyses generated 10 distinct clusters of niche cells, all of which were present in both non-cancer and multiple myeloma bone marrow. One of these clusters contained CDH5+ endothelial cells while the remaining 9 clusters were subsets of CXCL12+LEPR+ mesenchymal stromal cells. Because samples were taken from the central marrow by aspiration, peripheral endosteal or neuronal lineage cells were not represented in these clusters. Gene Set Enrichment Analysis (GSEA) of the stromal cell clusters from myeloma versus non-cancer controls revealed two significantly altered pathways: TNF signaling via NF-kB and Inflammatory response. Detailed analyses of the individual stromal cell clusters identified two clusters that were responsible for the inflammatory changes identified by GSEA. Both clusters were present in all myeloma patients, constituted on average 20% of total stromal cells and were defined by transcription of the inflammatory chemokines CXCL2, CXCL3 and CXCL8 the cytokine IL6. All these transcripts were absent from the equivalent clusters in control bone marrow. The presence of inflammatory stroma in the multiple myeloma niche indicates either the appearance of a novel stromal cell subset, or activation of pre-existing stromal cells. GSEA analyses suggested inflammatory signaling, and to functionally confirm this, we tested whether activation of stromal cells would induce the inflammatory stromal phenotype. Stimulation of primary human stromal cells in vitro with recombinant TNF was sufficient to induce transcription of CXCL2, CXCL3 and CXCL8, recapitulating the inflammatory transcriptome. Moreover, manual removal of these TNF target genes from the in-silico clustering analyses led to a merging of the inflammatory clusters with non-inflammatory clusters. This indicates that the major distinguishing feature of the myeloma-specific stromal cells are genes induced upon stromal cell activation. Conclusion: Through single cell transcriptomic analyses we have identified the presence of activated inflammatory stromal cells associated with TNF signaling in the multiple myeloma stromal niche. These inflammatory stromal cells are reminiscent of pathogenic cancer-associated fibroblasts found in solid tumors, where these cells create a pro-tumorigenic niche that favors tumor survival and proliferation while simultaneously inhibiting anti-cancer immunity. These findings represent the first description of myeloma-specific stromal cell subsets, and provide novel cellular targets for interventions aimed at disrupting the pro-tumorigenic microenvironment in multiple myeloma. Disclosures Broyl: Celgene, amgen, Janssen,Takeda: Honoraria. Sonneveld:Amgen: Honoraria, Research Funding; BMS: Honoraria; Celgene: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; SkylineDx: Research Funding; Takeda: Honoraria, Research Funding; Karyopharm: Honoraria, Research Funding.

Characterization of Plasma and Immune Cells Molecular Landscape That Play a Role in Rapid Progression of Multiple Myeloma Using Cross Center Scrna-Seq Study

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 6-8
Author(s):  
Manoj Bhasin ◽  
Beena E Thomas ◽  
Reyka G Jayasinghe ◽  
Nicolas Fernandez ◽  
Swati S Bhasin ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Clinical Trials ◽  
Single Cell ◽  
Board Of Directors ◽  
Research Funding ◽  
Nkt Cells ◽  
Advisory Board ◽  
Advisory Committees ◽  
Significant Activation

Introduction: Multiple myeloma (MM) is a genetically complex and clinically heterogeneous disease. Disease biology and phenotype is heavily influenced by the tumor microenvironment and the interaction between the immune milieu and malignant plasma cell population. Understanding the molecular profile of tumor along with the immune ecosystem can provide insights into key pathways that are important in disease pathobiology. Therefore, in this study, we have used single-cell RNA-Seq (scRNA-Seq) to compare the detailed maps of the bone marrow microenvironment of patients with rapid progressing disease (PFS &lt; 18 months) with those whose disease had not progressed at the time of analysis (PFS &lt; 4 years) Methods: MM patients (n=18) with rapid and no progression were identified from the Multiple Myeloma Research Foundation (MMRF) CoMMpass study, a longitudinal genomic study of patients with newly diagnosed, active multiple myeloma (NCT01454297). To generate a robust scRNA-Seq profile with minimal false positive, we profiled multiple technical replicates/aliquots of viably frozen CD138-negative bone marrow cells from each patient at three medical centers/universities (Beth Israel Deaconess Medical Center, Boston, Washington University in St. Louis and Mount Sinai School of Medicine, NYC using droplet-based single-cell barcoding technique. After batch correction and normalization, the cellular clusters were identified using principal component analysis and Uniform Manifold Approximation and Projection (UMAP) approach (Becht et al, 2018). Differential expression, pathways and systems biology analysis between rapid and non-progressors revealed differences for specific cell clusters (Panigrahy, Gartung et al. 2019). To determine association of plasma cell overexpressed genes with survival in CoMMpass study, survival analysis was performed using Kaplan-Meier (K-M) approach. Results: In this study, comparative analysis was performed of the bone marrow microenvironment of patients with aggressive and indolent disease by generating single-cell profiles of ~102,207 cells from 48 samples of 18 patients with MM. The UMAP approach identified multiple transcriptionally diverse clusters of plasma (CD138+), immune (PTPRC+) and erythroid (GYPA1/2+) cells (Fig 1a). Interestingly, the analysis identified CD138+ plasma/tumors cells clusters in a subset of samples from patients with rapid -progression and these clusters depicted a high degree of inter-patient heterogeneity (Fig 1a). Further characterization of plasma tumor cells depicted significant activation (Z score &gt;2 and P-value &lt;.001) of pathway related to "Unfolded protein response", epithelial-mesenchymal transition (EMT), and "p38 MAPK Signaling". These rapid progressions associated with plasma cells overexpressing multiple genes (e.g., Hazard ratio (HR) CCL3=1.9 95% CI= (1.5-3.9) log-rank P=0.0004, HSPA5 HR=1.4 (1-2.6), P=0.03) that are associated with poor outcome in multiple myeloma based CoMMpass data. The bone marrow microenvironment cells formed 22 clusters, comprising of cells from myeloid, macrophages, T cells, B cells, dendritic cells, Natural Killer T (NKT) cells, and erythroid lineages. The Non-progressive patients depicted enrichment of GZMB+ T and NKT cells with overexpression of genes associated with "Natural Killer Cell Signaling", "CD28 Signaling in T Helper Cells", "NF-kB Signaling" and "Th17 Activation Pathway" (Fig1b, c). Systems biology analysis depicted significant activation of TNF, STAT4, and NFATC2 regulatory signatures in NKT cells. The analysis also observed enrichment of macrophages, several types of monocytes, and myeloid cells in the samples from patients with non-progressive disease (Fig 1d). The myeloid/monocytes cluster depicted significant activation of multiple metabolic (i.e., Glycolysis, Gluconeogenesis) and immune response (i.e. IL8) pathways (Fig 1e). In summary, this multi-site study provides insights into potentially significant differences in the transcriptomic landscape of multiple myeloma patients with rapid and non-progression of disease. The non-progressive patients depict significant enrichment of activated T cells and myeloid lineage populations, suggesting their role toward better outcomes. These findings will be further expanded by ongoing single cell analyses of the CoMMpass tissue bank under the MMRF Immune Atlas initiative. Figure 1 Disclosures Bhasin: Canomiiks Inc: Current equity holder in private company, Other: Co-Founder. Dhodapkar:Roche/Genentech: Membership on an entity's Board of Directors or advisory committees, Other; Amgen: Membership on an entity's Board of Directors or advisory committees, Other; Celgene/BMS: Membership on an entity's Board of Directors or advisory committees, Other; Janssen: Membership on an entity's Board of Directors or advisory committees, Other; Kite: Membership on an entity's Board of Directors or advisory committees, Other; Lava Therapeutics: Membership on an entity's Board of Directors or advisory committees, Other. Kumar:Merck: Consultancy, Research Funding; Adaptive Biotechnologies: Consultancy; Genecentrix: Consultancy; Tenebio: Other, Research Funding; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Kite Pharma: Consultancy, Research Funding; Novartis: Research Funding; Sanofi: Research Funding; MedImmune: Research Funding; Karyopharm: Consultancy; BMS: Consultancy, Research Funding; Cellectar: Other; Carsgen: Other, Research Funding; Dr. Reddy's Laboratories: Honoraria; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding.

Sign in / Sign up

Export Citation Format

Share Document