Evaluation of multiple myeloma measurable residual disease by high sensitivity flow cytometry: An international harmonized approach for data analysis

Author(s):  
Kah Teong Soh ◽  
Neil Came ◽  
Gregory E. Otteson ◽  
Dragan Jevermovic ◽  
Min Shi ◽  
...  
Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1625-1625
Author(s):  
Anwar Khan ◽  
Nagehan Pakasticali ◽  
Omar Fathalla ◽  
Taiga Nishihori ◽  
Mohammad O Hussaini

Abstract Introduction: Detection of minimal residual disease (MRD) is one of the strongest predictors of outcome in multiple myeloma (MM). Until recently, the most commonly available method to detect MRD in clinical practice has been high sensitivity flow cytometry (FC) which can detect MRD with at 10 -5 sensitivity. In recent years, next-generation sequencing (NGS) has become a viable method to assess the MRD in MM patients with a 10 -6 sensitivity. NGS appears to have some advantages over HC-FC by circumventing subjectivity of analysis. However, real-world comparison between these two methodologies in the literature is limited and is important to inform daily hematopathology and oncology ordering practices. Methods: We retrospectively identified all cases of MM with NGS MRD data from bone marrow specimens at the Moffitt Cancer Center and collated corresponding flow MRD data and clinical data (OS, patient demographics) electronically and via chart review. 10-color flow cytometry was performed on a Gallios System and analyzed on Kaluza (Beckman Coulter, IN). Two million events were collected on all cells. Validated lower limit of detection was at least 0.01%. Antibodies included CD28, CD81, CD56, CD138, CD319, CD20, CD19, CD117, CD38, CD45, CD27, CD200 (BD, Biolegend, Beckman Coulter). clonoSEQ ® (Adaptive Biotechnologies, Seattle, WA) testing was performed which uses multiplex polymerase chain reaction (PCR) and NGS to identify, characterize, and monitor clonotypes of immunoglobulin (Ig) IgH (V-J), IgH (D-J), IgK, and IgL receptor gene sequences, and translocated BCL1/IgH (J) and BCL2/IgH (J) sequences Statistical analysis was performed by Spearman correlation coefficient and Kaplan-Meier analysis. Results: 192 samples from 122 unique patients were identified that had both NGS and FC data performed on the same sample. FC+ values ranged from 1x10 -7 to 0.39. NGS+ values ranged from 2.3 x 10 -7 to 0.15. Spearman correlation coefficient showed moderate concordance between NGS and FC at r=0.67 (p<0.001). Six samples were positive by FC (mean tumor burden (MTB)= 0.0007) but missed by NGS; whereas 59 samples were positive by NGS (MTB= 0.002) but missed by flow cytometry. Two cases by FC were equivocal and these were both definitively designated as MRD+ by NGS. Overall survival was worse for MRD+ (by NGS or FC) vs MRD(-) (Figure 1). Conclusion: Our study confirms the importance of MRD detection in MM and shows the robust utility of NGS for MRD detection in routine hematopathology practice. While both FC and NGS are complementary given that each can potentially detect MRD missed by another method, the data supports the increased sensitivity of NGS over FC. Figure 1 Figure 1. Disclosures Nishihori: Novartis: Research Funding; Karyopharm: Research Funding. Hussaini: Stemeline Therapeutics: Honoraria.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4712-4712
Author(s):  
Rui Bergantim ◽  
Mélanie A.G. Barbosa ◽  
Sara Peixoto da Silva ◽  
Bárbara Polónia ◽  
Hugo R. Caires ◽  
...  

Abstract BACKGROUND: Multiple myeloma (MM) treatment improved substantially in the last years, with unprecedented survival outcomes. However, even when achieving complete remission, patients ultimately relapse. Therefore, monitoring measurable residual disease (MRD) is crucial to assess treatment response and define the depth of patients' remission status. However, this currently still requires invasive bone marrow (BM) aspirates, which severely hinders real-time monitoring of the disease. Therefore, the identification of biomarkers of MRD in the peripheral blood (PB) of patients would allow a more frequent and minimally invasive monitoring of MRD. Extracellular Vesicles (EVs) are small particles (30-1000nm) shed by all cells, which are found in all biofluids including the BM and PB. These particles carry a specific cargo from their cell of origin, including proteins, enclosed by a lipidic layer. Therefore, they have been described as a possible source of cancer biomarkers, with potential to monitor MRD. AIMS: This study aimed to implement a protocol for the isolation of EVs from the BM and PB of MM patients at distinct stages of the disease (diagnosis and remission), in order to detect and compare the levels of known MRD biomarkers in their cargo. METHODS: The study was previously approved by the Ethical Committee of CHSJ and patient's consent was obtained. EVs from BM and PB Platelet-Poor Plasma (PPP) were isolated by size-exclusion chromatography (SEC), and further concentrated by ultrafiltration (UF). Then, the EVs were characterized according to their size and concentration (by Nanoparticle Tracking Analysis), morphology (by Transmission Electron Microscopy), protein concentration (Lowry protein assay) and presence of EV-associated protein markers (Western Blot - WB). In addition, 16 known MRD and MM biomarkers were analyzed by WB in the isolated EVs from PB and BM of seven patients, at two main stages of the disease - diagnosis versus response after autologous stem cell transplant (ASCT). Clinical features regarding cytogenetics and immunophenotypic markers using multi-parameter flow cytometry (MFC) were analyzed and compared. RESULTS: The two-step protocol described allowed the isolation of size-resolved EVs from both PB and BM of MM patients. The EVs isolated (both from PB and BM) presented a size-range from 50 to 500nm and presented EV-associated protein markers, such as CD81 and CD63. Moreover, several MM MRD biomarkers (e.g. CD56, CD45, CD38 and light chain) were detected in the cargo of the EVs from BM and PB at diagnosis and complete remission. The biomarkers of MM and MRD detected in the cargo of PB EVs were mainly the same as the ones detected in the cargo of BM EVs. The complete remission after ASCT was mostly associated with a decrease in the expression of EV-associated MM markers in both the BM and the PB; however, in some patients a few of the markers persisted at this stage when compared to diagnosis. In fact, the expression of CD45 and HLA-DR persisted at the remission stage in 3 and 2, respectively, out of 5 patients presenting these markers at diagnosis. Moreover, an increased expression of CD56 was also detected at remission in 3 out of 7 patients. By correlating these data with patient's routine work-up it was found that patients with persistent CD45 didn't reach 10^-5 MRD negative by flow cytometry. CONCLUSIONS: Taken together, this work suggests that it is possible to detect MM markers in EVs from either BM or PB of MM patients and compare their expression at different stages of the disease (diagnosis and remission after ASCT). Importantly, our results demonstrate the importance and potential of analyzing EVs cargo from PB, suggesting the possibility of using them for minimally invasive monitoring of MRD in MM patients. ACKNOWLEDGEMENTS: The authors acknowledge Celgene/BMS for providing funding to this work (Project Looker - Grant_138800). The authors acknowledge Cytogenetics Laboratory, Department of Clinical Hematology, Centro Hospitalar e Universitário São João and Flow Cytometry Laboratory, Department of Clinical Pathology, Centro Hospitalar e Universitário São João. Disclosures Bergantim: Amgen: Consultancy, Research Funding, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; BMS: Consultancy, Research Funding, Speakers Bureau; Takeda: Consultancy, Speakers Bureau. Barbosa: BMS: Research Funding. Silva: BMS: Research Funding. Polónia: BMS: Research Funding. Caires: BMS: Research Funding. Guimarães: BMS: Research Funding; Amgen: Research Funding. Vasconcelos: BMS: Research Funding; Amgen: Research Funding.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kentaro Narita ◽  
Daisuke Miura ◽  
Takafumi Tsushima ◽  
Toshiki Terao ◽  
Ayumi Kuzume ◽  
...  

AbstractStringent complete response (sCR) is defined as a deeper response than complete response (CR) in multiple myeloma. Whether achieving sCR correlates with better survival remains controversial. We evaluated the outcomes in patients with intact immunoglobulin multiple myeloma (IIMM) and light chain multiple myeloma (LCMM) who achieved a very good partial response (VGPR) or better. Multicolour flow cytometry was used to assess the depth of response. LCMM patients with sCR had significantly lower measurable residual disease (MRD) levels than those with CR (median MRD: 7.9 × 10–4 vs. 5.6 × 10–5, P < 0.01). Nonetheless, no significant difference was observed in MRD levels across the responses in groups of patients with IIMM (VGPR vs. CR: 3.5 × 10–4 vs. 7.0 × 10–5, P = 0.07; CR vs. sCR: 7.0 × 10–5 vs. 5.4 × 10–5, P = 0.81. In accordance with MRD levels, the median overall survival of patients with sCR was significantly longer (sCR, CR, VGPR; not reached, 41 months, and 58 months, respectively; VGPR vs. CR, P = 0.83; CR vs. sCR, P = 0.04) in LCMM, but not in IIMM (sCR, CR, VGPR; not reached, 41 months, and not reached, respectively; VGPR vs. CR, P = 0.59; CR vs. sCR; P = 0.10). Our results show that sCR represents a deeper response that correlates with longer survival in patients with LCMM, but not IIMM.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4350-4350
Author(s):  
Matthew P. Mulé ◽  
Gabriel N. Mannis ◽  
Jerald P. Radich ◽  
Brent L. Wood ◽  
Nestor R. Ramos ◽  
...  

Abstract While commonly used in other hematological malignancies, high dose chemotherapy followed by autologous hematopoietic cell transplantation (auto-HCT) has not been widely adopted in acute myeloid leukemia (AML) due to concerns regarding high post-transplant relapse rates. These relapses may be due, in part, to autograft contamination with AML. High sensitivity methods to detect residual AML have demonstrated the ability to correctly identify patients in morphological complete remission (CR) at risk of relapse. We sought to determine if testing of the graft prior to transplantation could predict post auto-HCT relapse. Prior studies investigating the utility of measurable residual disease (MRD) in auto-HCT have been limited by small patient cohorts and/or by the use of a single biomarker to detect AML, a heterogeneous cancer. We report here the largest retrospective study to date of adult auto-HCT AML patients tested for measurable residual disease (MRD) by both molecular methods (RQ-PCR) and multi-parameter flow cytometry (MPFC). Seventy-two patients transplanted between 2004-2013 at a single academic medical center (UCSF) were eligible for this study based on availability of cryopreserved GCSF mobilized autologous peripheral blood progenitor cell (PBPCs) specimens. All samples were collected on IRB approved research protocols. The median age at time of transplant was 48 (24-69), 54% were female, cytogenetics were known in 94% (of which 24% were favorable, 69% intermediate, 7% poor), 99% were in CR at the time of HCT (64/72 in CR1, 6 in CR2, 1 in CR3). Following auto-HCT 1 year RFS was 50% (1 year relapse rate 43%) and 2 year RFS was 40% (2 year relapse rate 47%). Wilms tumor 1 (WT1) is expressed in up to 90% of AML, but sufficiently over-expressed in peripheral blood to have utility as a sensitive marker of MRD in less than 50% of cases. RQ-PCR detectable WT1 above the previously established European LeukemiaNet threshold was found in 9 patients, of whom 6 relapsed in the first year after auto-HCT (19% sensitivity, 93% specificity, PPV: 67%, NPV: 60%). We have previously reported that multi-gene testing can augment WT1 based MRD detection in AML. We were unable however to use one component of our previously reported AML MRD panel, PR3, due to increased baseline expression in these GCSF stimulated PBPC products. Increased PR3 expression following GCSF administration, correlating with neutrophilia, was also observed in an independent cohort of healthy donors. Testing for PRAME, MSLN, CCNA1, t(8,21), Inv16, t(15:17) and NPM1 mutations A, B and D, as a supplement for WT1, in pre-HCT PBPCs resulted in substantially improved ability to predict post auto-HCT relapse (52% sensitivity, 80% specificity, PPV: 67%, NPV: 69%). Addition of these extra genes allowed for correct identification of 10 additional MRD+ patients who relapsed within 1yr after transplant, and added 5 false positive patients (1 of whom suffered early non-relapse mortality, and another who did relapse but more than 1 year after HCT). Finally, in expert hands, flow cytometry can identify residual AML with high sensitivity. Forty PBPC samples from the above cohort were also assessed for MRD using MPFC. CD34 positive cells comprised 0.05-12.5% of autograft specimen mononuclear cells. Due to immunophenotypic changes likely attributable to GCSF mobilization, and without leukemia associated immunophenotypes from diagnosis available, MPFC was unable to identify MRD in any of 40 patients tested. In summary, no single MRD test on autografts could completely predict post-HCT AML relapse. Auto-HCT presents unique challenges for AML MRD testing due to masking effects of GCSF on MPFC and RQ-PCR gene expression signatures. Additionally, detection of any AML autograft contamination must be extremely sensitive to be useful for predicting relapse given the absence of any potentially protective graft versus leukemia effect following an auto-HCT. Here we show combinations of molecular MRD assays can overcome some, but not all, of these limitations (Figure). Figure 1. Figure 1. Disclosures Radich: Incyte: Consultancy; Ariad: Consultancy; Novartis: Consultancy; Novartis: Other: Lab Contract. Andreadis:Cellerant: Consultancy; Novartis: Consultancy; McGraw Hill: Other: Publishers; Pharmacyclics: Honoraria. Damon:Sunesis: Research Funding; McGraw Hill: Other: Chapter Royalties; Atara: Consultancy; Sigms Tau: Research Funding. Logan:Jazz Pharmaceuticals: Consultancy; Amgen: Consultancy; Pharmacyclics: Consultancy. Martin:Sanofi: Consultancy.


2020 ◽  
Vol 98 (2) ◽  
pp. 161-173 ◽  
Author(s):  
Kah Teong Soh ◽  
Joseph D. Tario ◽  
Theresa E Hahn ◽  
Jens Hillengass ◽  
Philip L. McCarthy ◽  
...  

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