Increased Circulating Plasma Cells On Multiparametric Flow Cytometry As An Independent Prognostic Biomarker In Newly Diagnosed Multiple Myeloma: Implications For Redefining High-Risk Myeloma

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1842-1842
Author(s):  
Wilson I Gonsalves ◽  
Vinay Gupta ◽  
S. Vincent Rajkumar ◽  
William G Morice ◽  
Michael M Timm ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Flow Cytometry ◽  
Overall Survival ◽  
High Risk ◽  
Peripheral Blood ◽  
Research Funding ◽  
Light Chains ◽  
Newly Diagnosed ◽  
Risk Status ◽  
Multiparametric Flow Cytometry

Abstract Background Prior studies have shown that presence of increased circulating plasma cell (PCs) identified using a slide-based immunofluorescence method is an adverse prognostic marker for overall survival in multiple myeloma (MM), and increases the risk of progression in patients with MGUS and smoldering MM. However, utility in clinical settings has been limited by the cumbersome nature of the test and lack of widespread availability. We studied the prognostic value of circulating PCs using sensitive multiparametric flow cytometry that enable us to quantitatively assess circulating PCs in patients with MM. Methods We evaluated all newly diagnosed MM patients seen at the Mayo Clinic, Rochester from 2009 to 2011 who had their peripheral blood samples evaluated by flow cytometry prior to therapy. Patients with plasma cell leukemia were excluded. Each blood sample had its peripheral blood mononuclear cells isolated by ficoll gradient and stained with antibodies to CD45, CD19, CD38, CD138 and cytoplasmic Kappa and Lambda Ig light chains. A six-color multi-parameter flow cytometer (Becton Dickinson FacsCantos II) was used to examine each sample with a target of detecting 150,000 events (cells) that was then analyzed using the Facs Diva Software. PCs were selectively analyzed through combinatorial gating using light scatter properties and CD38, CD138, CD19, and CD45. Normal PC's were then separated from clonal PCs based on the differential expression of CD45, CD19 and polytypic Ig light chains. The clonal PCs detected were reported out as the number of clonal events/150,000 collected total events. For those samples where less than 150,000 events were gated or examined, the number of final clonal events was adjusted to 150,000 events. Survival analysis was performed by the Kaplan-Meier method and differences assessed using the log rank test. Results There were 158 consecutive patients with newly diagnosed MM who had their peripheral blood evaluated via flow cytometry as part of their routine clinical evaluation. The median age of this group was 66 years (39-95) and 59% were male. At the time of this analysis, 25 patients had died and the 2-year OS rate for the cohort was 83%. The 2-year OS for the 89 (55%) patients with any circulating PCs was 76% compared with 91% for those with none (P=0.02). The median number of circulating clonal PCs was 33 (range, 0-46,413)/ 150,000 gated events. Using a ROC analysis the best cutoff predicting 1 and 2-year mortality were 435 and 376 events, respectively. Based on this, we defined >=400 events as a cutoff for defining patients with high-risk disease. The median time-to-next-treatment (TTNT) for patients with circulating clonal PCs >=400 (n=37, 23%) was 14 months compared with 26 months for those with <400 events (n=121, 77%) (p<0.001; Fig 1a). The median OS for those with >=400 clonal PC events was 32 months compared with not reached for those with <400 events (p<0.001; Fig 1b). Patients with >= 400 circulating PCs had higher ISS stage, creatinine, LDH, PC labeling index and bone marrow PC% compared with the rest. In a univariate analysis examining the presence of circulating PC >=400, LDH, labeling index, marrow PC% and FISH risk status, only circulating PCs were prognostic for overall survival (P = 0.0011). Among the 89 patients with any circulating PCs, 26 (30%) had CD45+ clonal PCs. The TTNT in patients with a clonal CD45+ population was inferior to those with no CD45+ clonal PCs in circulation (median 11 vs. 19 months, P = 0.034) as was the OS (P = 0.039). Conclusion Quantitative estimation of circulating clonal PCs in patients with newly diagnosed MM is a powerful predictor of early relapse from therapy and mortality. A cutoff of >=400 clonal events/150,000 gated mononuclear events predicts for a median TTNT of 14 months and OS of 32 months. This parameter is more powerful than the current high-risk parameters such as FISH risk status as well as traditional high-risk markers such as ISS stage and LDH levels, and is able to identify a group of patients with particularly poor outcome. Disclosures: Kumar: Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding.

Prognostic Value Of Quantifying Circulating Plasma Cells By Multiparametric Flow Cytometry In Patients With Relapsed Multiple Myeloma

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 754-754
Author(s):  
Wilson I Gonsalves ◽  
Vinay Gupta ◽  
S. Vincent Rajkumar ◽  
William G Morice ◽  
Michael M Timm ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Flow Cytometry ◽  
Peripheral Blood ◽  
Research Funding ◽  
Prognostic Value ◽  
Plasma Cells ◽  
Light Chains ◽  
Plateau Phase ◽  
Multiparametric Flow Cytometry ◽  
Relapsed Disease

Abstract Background The presence of circulating plasma cells (PCs) in multiple myeloma (MM) is a known poor prognostic marker. Prior studies have utilized a technically challenging slide-based immunofluorescence technique to detect and quantify the presence of circulating PCs which was not widely adapted in clinical practice. More recently, the routine use of flow cytometry has provided the opportunity to quantitatively assess circulating PCs in MM patients with relative ease. We report the prognostic value of quantifying circulating clonal PCs using multiparametric flow cytometry in MM patients with relapsed disease. Methods We evaluated all MM patients seen at the Mayo Clinic, Rochester from 2009 to 2011 with previous or ongoing relapsed disease and who had their peripheral blood samples evaluated by flow cytometry. Each blood sample had its peripheral blood mononuclear cells isolated by ficoll gradient and stained with antibodies to CD45, CD19, CD38, CD138 and cytoplasmic Kappa and Lambda Ig light chains. A six-color multi-parameter flow cytometer (Becton Dickinson FacsCantos II) was used to examine each sample with a target of detecting 150,000 events (cells) that was then analyzed using the Facs Diva Software. Plasma cells were selectively analyzed through combinatorial gating using light scatter properties and CD38, CD138, CD19, and CD45. Normal PC's were then separated from clonal plasma cells based on the differential expression of CD45, CD19 and polytypic Ig light chains. The clonal plasma cells detected were reported out as the number of clonal events/150,000 collected total events. For those samples where less than 150,000 events were gated or examined, the number of final clonal events was adjusted to 150,000 events. Survival analysis was performed by the Kaplan-Meier method and differences in survival assessed using the log rank test. Results There were 647 consecutive patients with a history of treated MM who had a peripheral blood flow cytometry as part of their routine clinical evaluation. The median patient age was 62 years (29-88) and 55% were male. The median time since diagnosis was 12 months (range: 1-363) and the median number of lines of treatment received was 2 (1-11). There were 81 (13%) patients with clonal circulating PCs with a median of 368 cells (4 – 133,464). The 2-year overall survival (OS) for the 81 (13%) patients with any circulating PCs was 17% compared with 65% for those with none (P<0.001). The presence of circulating clonal PCs was associated with high-risk disease by FISH (P <0.001) as well as higher PCLI (P <0.001). We then correlated the presence of circulating clonal PCs with the disease status at flow cytometry assessment. Among the study patients, only 145 (22%) had actively relapsing disease with the remaining 502 (78%) in a plateau including patients in CR. Circulating clonal PCs were more likely to be detected in patients with actively relapsing disease compared with plateau phase (43% vs. 4%, P < 0.001); none of the CR patients and <5% of the remaining plateau phase patients had any detectable circulating clonal PCs. We then restricted the analysis to the actively relapsing patients; the best cutoff predicting 1-year mortality by ROC analysis was 100 events. Based on this, we defined >=100 events as a cutoff for defining the prognostic role of circulating clonal PCs in actively relapsing patients. The median OS for those with >=100 clonal PC events was 12 months compared with not reached for those with <100 events (p<0.001; Figure 1 ). Among patients with actively relapsing disease, >= 100 circulating PCs was associated with a higher ISS stage, plasma cell labeling index and bone marrow PC% compared with those with <100 circulating PCs. In a multivariable model, only LDH > 222 (HR: 2.08, P = 0.045) and >= 100 circulating PCs (HR: 2.48, P = 0.048) were found to adversely affect OS in actively relapsing patients. Conclusion The utilization of flow cytometry to quantify circulating clonal PCs in patients with relapsed MM appears to have significant prognostic relevance. In patients with actively relapsing disease, >= 100 circulating PCs predicted for worse OS with a median of 12 months. Future studies are needed to determine if this would allow an opportunity to develop a more risk adapted approach for patients with relapsed disease. Disclosures: Kumar: Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding.

The Prognostic Significance of Polyclonal Bone Marrow Plasma Cells in Patients with Actively Relapsing Multiple Myeloma

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1194-1194
Author(s):  
Toshi Ghosh ◽  
Wilson I Gonsalves ◽  
Dragan Jevremovic ◽  
S. Vincent Rajkumar ◽  
Michael M. Timm ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Flow Cytometry ◽  
High Risk ◽  
Research Funding ◽  
Plasma Cells ◽  
Labeling Index ◽  
Light Chains ◽  
Fish Cytogenetics ◽  
Kaplan Meier

Abstract Background: Prior studies suggest that the presence of >5% polyclonal plasma cells (pPCs) among total plasma cells (PCs) within the bone marrow (BM) is associated with a longer progression-free survival, higher response rates, and lower frequency of high-risk cytogenetic abnormalities in patients with newly diagnosed multiple myeloma (MM). However, the incidence and prognostic utility of this factor in patients with relapsed and/or refractory MM has not been previously evaluated. Thus, we evaluated the prognostic value of quantifying the percentage of pPCs among the total PCs in the BM of patients with actively relapsing MM. Methods: We evaluated all MM patients with actively relapsing disease (biochemical and/or symptomatic) seen at the Mayo Clinic, Rochester, from 2012 to 2013, who had BM samples evaluated by seven-color multiparametric flow cytometry. All patients had at least 24 months of follow-up from the date of flow evaluation. Cell surface antigens were assessed by direct immunofluorescence antibodies for CD45, CD19, CD38, CD138, cytoplasmic Kappa and Lambda Ig light chains, and DAPI nuclear stain. The flow cytometry data was collected using the Becton Dickinson FACSCanto II instruments that analyzed 150,000 events (cells); this data was then analyzed by multi-parameter analysis using the BD FACS DIVA Software. PCs were selectively analyzed through combinatorial gating using light scatter properties and CD38, CD138, CD19, and CD45. Clonal PCs were separated from pPCs based on the differential expression of CD45, CD19, DAPI (in non-diploid cases), and immunoglobulin light chains. The percentage of pPCs was calculated in total PCs detected. Survival analysis was performed by the Kaplan-Meier method and differences were assessed using the log rank test. Results: There were 180 consecutive patients with actively relapsing MM who had BM biopsies analyzed via flow cytometry as part of their routine clinical evaluation. The median age of this group was 65 years (range: 40 - 87); 52% were male. At the time of this analysis, 104 patients had died, and the 2-year overall survival (OS) rate for the cohort was 58%. The median number of therapies received was 4 (range: 1 - 15). Of these patients, 61% received a prior ASCT, and almost all (99%) received prior regimens containing either immunomodulators or proteasome inhibitors. There were 55 (30%) patients with >5% pPCs among the total PCs in their BM. The median percentage of pPCs among total PCs in these 55 patients was 33% (range: 5 - 99). The median OS for those with >5% pPCs was not reached compared with 22 months for those with <5% pPCs (P = 0.028; Figure 1). Patients with <5% pPCs PCs had a higher likelihood of high-risk FISH cytogenetics compared with the rest of the patients. In a univariate analysis, increasing number of pPCs was associated with an improved OS, while higher labeling index, number of prior therapies, and the presence of high-risk FISH cytogenetics were associated with a worse OS. In a multivariate analysis, only the increasing number of pPCs (P = 0.006), higher labeling index (P = 0.0002) and number of prior therapies (P = 0.003) retained statistical significance. Conclusion: Quantitative estimation of the percentage of pPCs among the total PCs in the BM of patients with actively relapsing MM was determined to be a predictor of worse OS. As such, this parameter is able to identify a group of patients with MM with actively relapsing disease who have a particularly poor outcome. Further studies evaluating its biological significance are warranted. Figure 1 Kaplan-Meier curve comparing OS between patients with ≥5% pPCs and <5% pPCs among the total PCs in their BM. Figure 1. Kaplan-Meier curve comparing OS between patients with ≥5% pPCs and <5% pPCs among the total PCs in their BM. Disclosures Kapoor: Celgene: Research Funding; Amgen: Research Funding; Takeda: Research Funding. Gertz:Prothena Therapeutics: Research Funding; Novartis: Research Funding; Alnylam Pharmaceuticals: Research Funding; Research to Practice: Honoraria, Speakers Bureau; Med Learning Group: Honoraria, Speakers Bureau; Celgene: Honoraria; NCI Frederick: Honoraria; Sandoz Inc: Honoraria; GSK: Honoraria; Ionis: Research Funding; Annexon Biosciences: Research Funding. Kumar:AbbVie: Research Funding; Noxxon Pharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy; BMS: Consultancy.

Analysis of 179 Patients with Newly Diagnosed Multiple Myeloma (MM) Treated with Novel Agents Followed by Autologous Stem Cell Transplantation (ASCT): a Retrospective Study

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 1343-1343
Author(s):  
Joyce Habib ◽  
Neil Dunavin ◽  
Gary Phillips ◽  
Patrick Elder ◽  
Meaghan Tranovich ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Overall Survival ◽  
High Risk ◽  
Research Funding ◽  
Progression Free Survival ◽  
Novel Agents ◽  
Genetic Profile ◽  
Newly Diagnosed ◽  
Free Survival

Abstract Abstract 1343 Background: Multiple myeloma (MM) is the second most common hematological malignancy in the United States with an estimated 20,580 new cases in 2009. Over the past decade, the introduction of novel agents (thalidomide, lenalidomide and bortezomib) have played a pivotal role in improving response rates, duration of response, overall survival (OS) and quality of life. In this study we describe a single center experience with novel agents used for induction followed by high dose chemotherapy (HDT) and first autologous stem cell transplant (ASCT) in patients with MM. Method: A retrospective review of the medical records of 179 newly diagnosed patients with MM seen between October 2006 and December 2009 at The Ohio State University was performed. All patients received novel therapy containing thalidomide, bortezomib or lenalidomide as part of an induction regimen followed by ASCT. All patients received melphalan 140mg/m2 or 200mg/m2 as preparative regimen. Kaplan-Meier estimates were used to plot progression free survival and overall survival. Results: Of the 181 patients seen, 2 were excluded because they did not receive a novel agent as part of induction treatment. Of the 179 patients analyzed, median age was 56.8 years (29-80) with 30% of patients older than 60 years. African American represented 19%. Fifty-nine percent were male, 80% had Durie-Salmon (DS) stage III while 25%, 28%, 18% represented International prognostic score (IPS) stage I, II, and III respectively with 27% unknown. Median comorbidity index score was 2 (2-7) and median Karnofsky performance score (KPS) was 90% (70-100). Thirty percent had high risk genetic profile, and 73% received one line of treatment before ASCT. The median time from diagnosis to ASCT was 8.33 months (4-58). The overall response rate (ORR) prior to transplant was 84% (9% complete (CR), 29% very good partial (VGPR), and 46% partial (PR)). The ORR post ASCT was 89% (CR 45%, VGPR 22%, PR 21%). Non relapse mortality was 1% and 3% at 100 days and 1 year respectively. At a median follow up of 31 months (7-90), 69 patients (38%) had relapsed. Median progression free survival (PFS) was 29 months with 1 and 3 years PFS of 79.3% and 61.5% respectively (Fig. 1). The OS was not reached. One and 3 years OS were 93% and 88% respectively (Fig. 1). Univariate analysis showed that time to transplant > 12 months was associated with poor outcome and decreased overall survival (HR 3.30, p = 0.008). High risk genetic profile was also found to be associated with decreased overall survival although this was not statistically significant (HR 2.31, p = 0.070). Multivariate analysis found that only time to transplant > 12 months was an independent predictor of decreased OS. Significant predictors for disease progression were high risk genetic profile and time to transplant > 12 months in patients receiving 2 or more treatments before ASCT. Conclusion: Induction with novel agents followed by HDT and ASCT improves CR rate, in our case from 9% to 45%. Median PFS (29 months) was comparable to other published data. OS was not been reached after a median follow up of 31 months. Predictors of progression include high risk genetic profile and time to transplant > 12 months. The only significant predictor for survival was time to transplant. Our study suggests that an early transplant may improve OS and PFS. An extended analysis will be presented at the meeting. Disclosures: Phillips: NCI/NIH: Research Funding; NCCM Grant: Research Funding; ARRA RC2 Grant: Research Funding. Byrd:Genzyme Corporation: Research Funding.

scholarly journals Prognostic Implications of Multiple Cytogenetic High-Risk Abnormalities in Patients with Newly Diagnosed Multiple Myeloma

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 5615-5615
Author(s):  
Moritz Binder ◽  
S. Vincent Rajkumar ◽  
Rhett P. Ketterling ◽  
Angela Dispenzieri ◽  
Martha Q. Lacy ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Overall Survival ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Cumulative Effect ◽  
Newly Diagnosed ◽  
Advisory Committees ◽  
Kaplan Meier ◽  
Prognostic Implications

Abstract Background: Cytogenetic evaluation using fluorescence in situ hybridization (FISH) at the time of diagnosis is essential for initial risk stratification in multiple myeloma. The presence of specific cytogenetic abnormalities is known to confer a poor prognosis, less is known about the cumulative effect of multiple cytogenetic high-risk abnormalities. We aimed to evaluate the prognostic implications of the presence of multiple cytogenetic high-risk abnormalities at the time of diagnosis. Methods: We studied 226 patients who were diagnosed with multiple myeloma between July 2004 and July 2014 at Mayo Clinic Rochester, underwent FISH evaluation within six months of diagnosis, and presented with cytogenetic high-risk abnormalities. High-risk cytogenetics were defined as t(4;14), t(14;16), t(14;20), del(17p), or gain(1q). Bone marrow aspirates were evaluated for deletions, monosomies, trisomies, and tetrasomies using chromosome- or centromere-specific FISH probes. IGH rearrangements were evaluated using an IGH break-apart probe and evaluating up to five potential partners (FGFR3, CCND1, CCND3, MAF, and MAFB). Kaplan-Meier overall survival estimates were calculated and the log-rank test was used to compare overall survival in patients with single and multiple cytogenetic high-risk abnormalities. A multivariable-adjusted Cox regression model was used to assess the effect of multiple cytogenetic high-risk abnormalities on overall survival adjusting for age, sex, and Revised International Staging System (R-ISS) stage. P-values below 0.05 were considered statistically significant. Results: The median age at diagnosis was 65 years (32 - 90), 129 (57%) of the patients were male. The median overall survival was 3.5 years (3.1 - 4.9) for the entire cohort (n = 226), 4.0 years (3.3 - 5.1) for those with one cytogenetic high-risk abnormality (n = 182, 80%), and 2.6 years (1.7 - 3.1) for those with two cytogenetic high-risk abnormalities (n = 44, 20%). There were no patients with more than two cytogenetic high-risk abnormalities. Ninety-eight patients (45%) had a high-risk translocation, 77 (35%) had del(17p), 39 (18%) had a high-risk translocation plus del(17p), and 5 (2%) had gain(1q) plus either a high-risk translocation or del(17p). Figure 1 shows the Kaplan-Meier overall survival estimates stratified by the number of cytogenetic high-risk abnormalities (n = 226). The presence of two cytogenetic high-risk abnormalities (compared to one) was of prognostic significance after adjusting for age, sex, and R-ISS stage (HR 2.01, 95% CI 1.27 - 3.19, p = 0.003, n = 205). Conclusions: Approximately one in five patients with newly diagnosed high-risk multiple myeloma presented with two high-risk abnormalities at the time of diagnosis. These patients experienced inferior overall survival suggesting a cumulative effect of multiple cytogenetic high-risk abnormalities. The relatively low number of observed gain(1q) was likely related to the fact that not all patients were evaluated for that abnormality. Therefore the presented hazard ratio represents a conservative effect estimate and may underestimate the true effect. Figure 1 Figure 1. Disclosures Dispenzieri: GSK: Membership on an entity's Board of Directors or advisory committees; Jannsen: Research Funding; Alnylam: Research Funding; Celgene: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; pfizer: Research Funding. Kapoor:Takeda: Research Funding; Celgene: Research Funding; Amgen: Research Funding. Kumar:Janssen: Consultancy, Research Funding; BMS: Consultancy; AbbVie: Research Funding; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Array BioPharma: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy.

scholarly journals Prognostic Significance of Early Immune Reconstitution in Newly Diagnosed Multiple Myeloma

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 3158-3158
Author(s):  
Moritz Binder ◽  
S. Vincent Rajkumar ◽  
Martha Q. Lacy ◽  
Morie A. Gertz ◽  
Francis K. Buadi ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Overall Survival ◽  
Board Of Directors ◽  
Peripheral Blood ◽  
Research Funding ◽  
Immune Reconstitution ◽  
Immune Dysregulation ◽  
Blood Parameters ◽  
Newly Diagnosed ◽  
Advisory Committees

Abstract Background: Peripheral blood biomarkers of tumor microenvironment and immune surveillance such as absolute lymphocyte (ALC) and monocyte (AMC) counts are independent prognostic factors in several hematologic malignancies including multiple myeloma. The timing and prognostic impact of immune reconstitution has been studied after autologous hematopoietic stem cell transplantation, less is known about its significance in newly diagnosed multiple myeloma prior to transplantation. Methods: We studied 771 patients with newly diagnosed multiple myeloma who were treated with novel agents at Mayo Clinic between 01/2004 and 12/2015. Peripheral blood absolute lymphocyte and monocyte counts were measured at the time of treatment initiation and one month thereafter in all patients (including data obtained between 14 and 42 days after treatment initiation). The outcome of interest was overall survival. The peripheral blood parameters of interest were abnormal ALC (reference range 800-2400/µL) and AMC (reference range 500-1500/µL) at baseline and at one month. Immune dysregulation was defined as both abnormal ALC and AMC. Immune reconstitution was defined as recovery of both normal ALC and AMC. The Wilcoxon signed-rank test was used to compare the peripheral blood parameters before and after the first month of treatment. Multivariable-adjusted proportional hazards regression models were used to assess the associations between changes in peripheral blood parameters and overall survival. P-values below 0.05 were considered statistically significant. Results: The median age at diagnosis was 65 years (27 - 90) and 459 patients were male (60%). The three most common first-line regimens were lenalidomide + dexamethasone, bortezomib + cyclophosphamide + dexamethasone, and bortezomib + lenalidomide + dexamethasone. Two hundred and eighty patients (36%) went on to undergo autologous hematopoietic stem cell transplantation as part of their first-line therapy. The median ALC decreased from 1100/µL (range 60 - 5590) at baseline to 850/µL (range 60 - 5590) at one month (p < 0.001). The median AMC increased from 330/µL (range 0 - 1840) at baseline to 420/µL (range 0 - 1840) at one month (p < 0.001). The median time between re-assessment of ALC and AMC was 25 days (range 15 - 42). Two hundred and thirty-four patients (31%) had evidence of immune dysregulation at baseline (both abnormal ALC and AMC). Eighty-seven of these 234 patients (37%) recovered normal ALC and AMC at one month (early immune reconstitution). One hundred and thirty-seven of the 537 patients with normal ALC and AMC at baseline (26%) developed new immune dysregulation at one month. The absence of immune dysregulation at baseline (compared to the presence thereof) was associated with better overall survival (HR 0.77, 95% CI 0.61 - 0.97, p = 0.025, n = 771). The absence of immune dysregulation at one month (compared to the persistence or development thereof) was associated with better overall survival (HR 0.63, 95% CI 0.50 - 0.80, p < 0.001, n = 771). Early immune reconstitution (compared to the persistence or development of immune dysregulation) was associated with better overall survival (HR 0.62, 95% CI 0.43 - 0.92, p = 0.016, n = 771). Both associations remained statistically significant after adjusting for age at diagnosis, sex, International Staging System stage, and eligibility for transplantation: HR 0.70 (95% CI 0.54 - 0.90, p = 0.006, n = 612) and HR 0.59 (95% CI 0.39 - 0.90, p = 0.014, n = 612), respectively. Conclusions: Peripheral blood biomarkers of immune dysregulation vary over time and have prognostic significance both at baseline and during follow-up. The presence or development of immune dysregulation in newly diagnosed multiple myeloma is an independent risk factor. The favorable impact of early immune reconstitution suggests that immune dysregulation is a potentially modifiable risk factor that may be exploited for therapeutic benefit. Figure. Figure. Disclosures Lacy: Celgene: Research Funding. Gertz:celgene: Consultancy; Medscape: Consultancy; janssen: Consultancy; Prothena: Honoraria; Apellis: Consultancy; Ionis: Honoraria; annexon: Consultancy; spectrum: Consultancy, Honoraria; Amgen: Consultancy; Physicians Education Resource: Consultancy; Abbvie: Consultancy; Research to Practice: Consultancy; Teva: Consultancy; Alnylam: Honoraria. Dispenzieri:Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Russell:Vyriad: Equity Ownership. Kapoor:Takeda: Research Funding; Celgene: Research Funding. Kumar:AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding.

Real-World Experience with Minimal Residual Disease Testing with Next Generation Flow Cytometry and Functional Imaging in Multiple Myeloma

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 17-18
Author(s):  
David Böckle ◽  
Paula Tabares Gaviria ◽  
Xiang Zhou ◽  
Janin Messerschmidt ◽  
Lukas Scheller ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Flow Cytometry ◽  
High Risk ◽  
Functional Imaging ◽  
Real World ◽  
Research Funding ◽  
Residual Disease ◽  
Focal Lesions ◽  
High Risk Disease ◽  
Minimal Residual

Background: Minimal residual disease (MRD) diagnostics in multiple myeloma (MM) are gaining increasing importance to determine response depth beyond complete remission (CR) since novel agents have shown to induce high rates of deep clinical responses. Moreover, recent reports indicated combining functional imaging with next generation flow cytometry (NGF) could be beneficial in predicting clinical outcome. This applies in particular to the subset of patients suffering from relapsed/refractory multiple myeloma (RRMM) who tend to show a higher incidence of residual focal lesions despite serological response. Here, we report our institutions experience with implementing both functional imaging and NGF-guided MRD diagnostics in clinical practice. Methods: Our study included patients with newly diagnosed multiple myeloma (NDMM) and RRMM achieving VGPR, CR or sCR. Bone marrow aspirates were obtained for MRD-testing according to IMWG 2016 criteria. Samples were collected between July 2019 and July 2020 and analyzed with NGF (according to EuroFlowTM guidelines) at a sensitivity level of 10-5. Results were compared to functional imaging obtained with positron emission tomography (PET) and diffusion-weighted magnetic resonance imaging (DW-MRI). High-risk disease was defined as presence of deletion 17p, translocation (14;16) or (4;14). Results: We included 66 patients with NDMM (n=39) and RRMM (n=27) who achieved VGPR or better. In patients with RRMM the median number of treatment lines was 2 (range 2-11). Fifteen patients suffered from high-risk disease. Median age at NGF diagnostics was 64 years (range 31-83). Among patients achieving VGPR (n=27), CR (n=10) and sCR (n=29) seventeen (26%) were MRD-negative by NGF testing. CR or better was significantly associated NGF MRD-negativity (p=0.04). Notably, rates of NGF MRD-negativity were similar among patients with NDMM (28%) and RRMM (26%). Even some heavily pretreated patients who underwent ≥ 4 lines of therapy achieved MRD-negativity on NGF (2 of 9). Functional imaging was performed in 46 (70%) patients with DW-MRI (n=22) and PET (n=26). Median time between NGF and imaging assessment was 2 days (range 0-147). Combining results from imaging and NGF, 12 out of 46 (26%) patients were MRD-negative with both methods (neg/neg). Three patients displayed disease activity as measured with both, imaging and NGF (pos/pos). Twenty-nine of the remaining patients were MRD-positive only according to NGF (pos/neg), while two patients were positive on imaging only (neg/pos). More patients demonstrated combined MRD-negativity on NGF and imaging (neg/neg) in the NDMM setting than in RRMM (32% versus 19%). We also observed that 30% of the patients with high-risk genetics showed MRD-negativity on both imaging and NGF. Of note, none of the patients with very advanced disease (≥4 previous lines) was MRD-negative on both techniques. Conclusion In the clinical routine, MRD diagnostics could be used to tailor maintenance and consolidation approaches for patients achieving deep responses by traditional IMWG criteria. Our real-world experience highlights that MRD-negativity can be achieved in patients suffering from high-risk disease and also in late treatment lines, supporting its value as endpoint for clinical trials. However, our data also support MRD diagnostics to be combined with functional imaging at least in the RRMM setting to rule out residual focal lesions. Future studies using MRD for clinical decision-making are highly warranted. Disclosures Einsele: Takeda: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; GlaxoSmithKline: Honoraria, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Research Funding, Speakers Bureau. Rasche:Celgene/BMS: Honoraria; GlaxoSmithKline: Honoraria; Oncopeptides: Honoraria; Skyline Dx: Research Funding; Janssen: Honoraria; Sanofi: Honoraria.

The Ki67/CD138 Ratio Independently Predicts Overall Survival in the Upfront Treatment of Newly Diagnosed Multiple Myeloma

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2016-2016
Author(s):  
Tomer M Mark ◽  
Peter Forsberg ◽  
Ihsane Ouansafi ◽  
Adriana C Rossi ◽  
Roger N Pearse ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Overall Survival ◽  
Board Of Directors ◽  
Research Funding ◽  
Complete Response ◽  
Newly Diagnosed ◽  
First Line ◽  
Advisory Committees ◽  
Line Therapy

Abstract Background: Assessment of malignant plasma cell cycling via plasma cell labeling index (PCLI) has been a validated prognostic tool in multiple myeloma (MM) but the test requires specialized technical expertise and is not widely available. Ki67 is a well-known protein marker of cellular proliferation on immunohistochemical (IHC) staining with prognostic utility in other malignancies. In an effort to develop a simpler system to provide analogous information to PCLI, we used a novel IHC co-staining technique for CD138 and Ki67 to quantify plasma cells in active cycling. We then performed a retrospective analysis of the ratio of Ki67/CD138 (Ki67%) in newly diagnosed patients with multiple myeloma receiving 1st-line therapy to correlate with clinical outcomes. Methods: A retrospective cohort study of patients (pts) with treated symptomatic MM was performed by interrogation of the clinical database at the Weill Cornell Medical College / New York Presbyterian Hospital. For inclusion in the analysis, subjects must have started first-line treatment in the period of 2005-2010, and had available bone marrow biopsies. Double-staining with Ki67 and CD138 was performed by IHC. The Ki67% was calculated as the percent of plasma cells expressing CD138 that were also found to express Ki67. Treatment outcomes were stratified and compared based on %Ki67. Response was determined by monthly serum protein electrophoresis / immunofixation (IFX) with free light chain analysis according to International Multiple Myeloma Working Group (IMWG) guidelines. Pts who were IFX negative but had no subsequent bone marrow biopsy were classified as being in unconfirmed complete remission. Results: We identified 151 patients with newly diagnosed MM and available %Ki67 expression who received first-line therapy over the period of 2005-2010. Patient were subdivided into two groups based on %Ki67: Low: %ki67 <= 5%, n = 87; and High: %Ki67 >5, n=64, to allow for comparison of treatment response and survival analysis. Specific therapeutic agent exposure history did not differ significantly between patients. Both groups had similar depth of response rates (ORR) to front-line therapy, Table 1. Median progression-free survival for the high versus low %Ki67 groups approached statistical significance at 54 months (95% CI 30.8,67.4) versus 26.9 months (95% CI 21.6,40.2), respectively (P = 0.083). At data cut-off, there were 30 deaths in the low %Ki67 group (1-yr OS 93%, 5-yr OS 71%) and 36 deaths in the high %Ki67 group (1-yr OS 94%, 5-yr OS 62%). Median overall survival (OS) was not reached for Ki67% <= 5% (95% CI 97.3,NR) vs. 78.9 months (95% CI 55.9,93.1) for Ki67% > 5%, (P = 0.0434), Figure 1. Multivariate cox regression for factors with influence on OS showed that only high-risk cytogenetics (HR 2.05, 95% CI 1.17, 2.92, P = 0.027), ISS (HR 1.835, 95% CI 1.33, 3.60, P = 0.000), and %Ki67 group status had an independent effect on survival outcome. Low (<=5%) versus high (>5%) %Ki67 influenced overall survival with a hazard ratio of 1.76 (CI 1.07,2.92, P = 0.027). Survival after ASCT was significantly longer in the low %Ki67 group with median OS not reached (95%CI, 97.3, NR) versus 86.9 months (95% CI 43.9, NR) for high %Ki67 group (P = 0.04). Discussion: The ratio of IHC double positive Ki67 and CD138 of > 5% is an independent prognostic marker for overall survival in newly diagnosed MM undergoing 1st line therapy. The %Ki67 serves as a simpler and widely available analog to PCLI that can be presently performed in most hematopathology laboratories. Table 1: First Line Treatment and Best Response (modified IMWG Criteria) Ki67% <= 5(N = 87)n (%) Ki67% > 5(N = 64)n (%) P Treatment Exposure* Lenalidomide 59 (67.8) 48 (75) 0.34 Thalidomide 30 (34.5) 14 (21.9) 0.09 Bortezomib 25 (28.7) 14 (21.9) 0.34 Alkylating agent 11 (12.6) 4 (6.3) 0.19 ASCT 27 (31) 22 (34.4) 0.66 Best Response Overall Response (>= Partial response) 77 (88.4) 57 (89.1) 0.41 Complete response 15 (17.2) 22 (34.4) Unconfirmed complete response** 14 (16.1) 8 (12.5) Very good partial response 23 (26.4) 15 (23.4) Partial response 25 (28.7) 12 (18.8) Stable disease 9 (10.3) 5 (7.8) Progressive disease 1 (1.2) 2 (3.1) * Percentages do not add to 100% due to instances of concurrent therapy use ** Unconfirmed complete response: immunofixation negative, but no confirmatory bone marrow biopsy available Figure 1 Overall Survival by %Ki67 Figure 1. Overall Survival by %Ki67 Disclosures Mark: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Millennium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Onyx: Research Funding, Speakers Bureau. Rossi:Celgene: Speakers Bureau. Pekle:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millennium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Perry:Celgene: Speakers Bureau. Coleman:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millennium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Onyx: Honoraria. Niesvizky:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Millennium: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Onyx: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau.

MyPRSR Molecular Subtypes of Multiple Myeloma Represent All High-Risk FISH Translocations Included in the mSMART 2.0 and R-ISS Guidelines

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3264-3264 ◽  
Author(s):  
Ryan K Van Laar ◽  
Ivan Borrelo ◽  
David Jabalayan ◽  
Ruben Niesvizky ◽  
Aga Zielinski ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
High Risk ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Research Funding ◽  
Plasma Cells ◽  
Molecular Subtypes ◽  
Risk Status ◽  
Significant Difference

Abstract Background: There is a global consensus that multiple myeloma patients with high-risk disease require additional monitoring and therapy compared to low/standard risk patients in order to maximize their chances of survival. Current diagnostic guidelines recommend FISH-based assessment of chromosomal aberrations to determine risk status (i.e. t(14;20), t(14;16), t(4;14) and/or Del17p), however, studies show FISH for MM may have a 20-30% QNS rate and is up to 15% discordant between laboratories, even when starting from isolated plasma cells. In this study we demonstrate that MyPRS gene expression profiling reproduces the key high risk translocations for MM risk stratification, in addition to having other significant advantages. Methods: Reproducibility studies show that MyPRS results are less than 1% discordant starting from isolated plasma cells and return successful results in up to 95% of cases. 270 MM patients from Johns Hopkins University (MD) and Weill Cornell Medicine (NY) had both FISH and MyPRS gene expression profiling performed between 2012 and 2016 using standard and previously published methodology, respectively. Results: Retrospective review of the matched FISH and MyPRS results showed: 25/28 (89%) patients wish FISH-identified t(4;14) were classified as MMSET (MS) subtype. 10/10 (100%) patients with t(14;16) or t(14;20) were classified as MAF-like (MF) subtype 62/67 (93%) patients with t(11;14) were assigned to the Cyclin D (1 or 2) subtype. Patients with FISH hyperdiploidy status were classified as the Hyperdiploid (HY) subtype or had multiple gains detected by the separate MyPRS Virtual Karyotype (VK) algorithm, included in MyPRS. TP53del was seen in patients with multiple molecular subtypes, predominantly Proliferation (PR) and MMSET (MS). Assessment of TP53 function by gene expression is a more clinically relevant prognostic marker than TP53del, as dysregulation of the tumor suppressor is affected by mutations as well as deletions. Analysis of the TP53 expression in the 39 patients with delTP53 showed a statistically significant difference, compared to patients without this deletion (P<0.0001). Conclusion: Gene expression profiling is a superior and more reliable method for determining an individual patients' prognostic risk status. The molecular subtypes of MM, as reported by Signal Genetics MyPRS assay, are driven by large-scale changes in gene expression caused by or closely associated with chromosomal changes, including translocations. Physicians who are managing myeloma patients and wishing to base their assessment of risk on R-ISS or mSMART Guidelines may obtain the required data points from either FISH or MyPRS, with the latter offering lower QNS rates, higher reproducibility, assessment of a larger number of cells and a substantially lower price point ($5,480 vs. $1,912; 2016 CMS data). A larger cohort study is now underway to further validate these observations. Figure GEP-based TP53 expression in patients with and without Del17p. P<0.0001 Figure. GEP-based TP53 expression in patients with and without Del17p. P<0.0001 Disclosures Van Laar: Signal Genetics, Inc.: Employment. Borrelo:Sidney Kimmel Cancer Institute: Employment. Jabalayan:Weill Cornell Medical Center: Employment. Niesvizky:Celgene: Consultancy, Research Funding, Speakers Bureau; Takeda: Consultancy, Research Funding, Speakers Bureau; Onyx: Consultancy, Research Funding, Speakers Bureau. Zielinski:Signal Genetics, Inc.: Employment. Leigh:Signal Genetics, Inc.: Employment. Brown:Signal Genetics, Inc.: Employment. Bender:Signal Genetics, Inc.: Employment.

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