Prognostic factors for multiple myeloma in the era of novel therapies

18F‑FDG PET/CT based radiomics features improve prediction of prognosis: multiple machine learning algorithms and multimodality applications for multiple myeloma

PURPOSE

Multiple myeloma (MM), the second most hematological malignancy, have been studied extensively in the prognosis of the clinical parameters, however there are only a few studies have discussed the role of dual modalities and multiple algorithms of ¹⁸F-FDG (¹⁸F-fluorodeoxyglucose) PET/CT based radiomics signatures for prognosis in MM patients. We hope to deeply mine the utility of raiomics data in the prognosis of MM.

METHODS

We extensively explored the predictive ability and clinical decision-making ability of different combination image data of PET, CT, clinical parameters and six machine learning algorithms, Cox proportional hazards model (Cox), linear gradient boosting models based on Cox's partial likelihood (GB-Cox), Cox model by likelihood based boosting (CoxBoost), generalized boosted regression modelling (GBM), random forests for survival model (RFS) and support vector regression for censored data model (SVCR). And the model evaluation methods include Harrell concordance index, time dependent receiver operating characteristic (ROC) curve, and decision curve analysis (DCA).

RESULTS

We finally confirmed 5 PET based features, and 4 CT based features, as well as 6 clinical derived features significantly related to progression free survival (PFS) and we included them in the model construction. In various modalities combinations, RSF and GBM algorithms significantly improved the accuracy and clinical net benefit of predicting prognosis compared with other algorithms. For all combinations of various modalities based models, single-modality PET based prognostic models' performance was outperformed baseline clinical parameters based models, while the performance of models of PET and CT combined with clinical parameters was significantly improved in various algorithms.

CONCLUSION

¹⁸F‑FDG PET/CT based radiomics models implemented with machine learning algorithms can significantly improve the clinical prediction of progress and increased clinical benefits providing prospects for clinical prognostic stratification for precision treatment as well as new research areas.

Spinal lesions in multiple myeloma: Primary bone tumors with distinct prognostic factors

PURPOSE

Although prognostic factors of spinal multiple myeloma (MM) seem to differ from those of other spine metastases (SpM), the data in the literature remains scarce.

METHODS

A prospective population of 361 patients treated for spine MM lesions between January 2014 and 2017.

RESULTS

OS for our series was 59.6 months (SD 6.0 months; CI 95%: 47.7-71.3). Cox multivariate proportional-hazards analysis showed that bone marrow transplant [HR: 0.390, 95% CI 0.264-0.577; p < 0.0001] and light-chain isotype [HR: 0.748, 95% CI 0.318-1.759; p = 0.005] were independent predictors of longer survival. In contrast, age >80 years [HR: 2.7, 95% CI 1.6-4.3; p < 0.0001], ISS III [HR: 2.510, 95% CI 2.01-3.124; p = 0.001], IgA isotype [HR: 1.475, 95% CI 1.031-2.11; p = 0.034] and IgD/M isotype [HR: 2.753, 95% CI 1.230-6.130; p = 0.013] were independent poor prognostic factors. However, ECOG (p = 0.486), spine surgery (p = 0.391), spine radiotherapy (p = 0.260), epidural involvement (p = 0.259), the number of vertebra lesions (p = 0.222), and synchronous/metachronous timeline (p = 0.412) were not significantly associated with improved OS.

CONCLUSIONS

Spinal involvement in the context of MM does not influence OS. The main prognostic factors to consider before spinal surgery are the characteristics of the primary MM disease (ISS score, IgG isotype and systemic treatment).

CIMP-positive glioma is associated with better prognosis: A systematic analysis

BACKGROUND

CpG island methylator phenotype (CIMP) was closely related to the degree of pathological differentiation of tumors, and it's an important determinant of glioma pathogenicity. However, the molecular and pathological features of CIMP-positive glioma have not been fully elucidated. In addition, CIMP have been reported to be a useful prognostic marker in several human cancers, yet its prognostic value in gliomas is still controversial. Therefore, we aimed to evaluate gene mutations and pathological features of CIMP-positive glioma and explore the prognostic value of CIMP in gliomas.

METHODS

We comprehensively searched PubMed, Embase, and MEDLINE for studies describing gene mutations, pathological features and overall survival of gliomas stratified by CIMP status. Odds ratios (OR), hazard ratios (HR), and their 95% confidence intervals (CI) were used to estimate the correlation between CIMP and the outcome parameters.

RESULTS

Twelve studies with 2386 gliomas (1051 CIMP-positive and 1335 CIMP-negative) were included. Our results showed that CIMP was more frequent in isocitrate dehydrogenase 1 (IDH1)-mutated gliomas (OR 229.07; 95% CI 138.72-378.26) and 1p19q loss of heterozygosis (LOH) gliomas (OR 5.65; 95% CI 2.66-12.01). Pathological analysis showed that CIMP was common in low-malignant oligodendroglioma (OR 5.51; 95% CI 3.95-7.70) with molecular features including IDH1 mutations and 1p19q LOH, but rare in glioblastoma (OR 0.14; 95% CI 0.10-0.19). However, CIMP showed no obvious correlation with anaplastic oligoastrocytomas (OR 1.57; 95% CI 1.24-2.00) or oligoastrocytomas (OR 0.79; 95% CI 0.35-1.76). Concerning the prognosis, we found that CIMP-positive gliomas had longer overall survival (HR 0.57; 95% CI 0.97-0.16) than CIMP-negative gliomas.

CONCLUSIONS

CIMP could be used as a potential independent prognostic indicator for glioma.

Clinical Application of Biomarkers for Hematologic Malignancies

Over the last decade, significant advancements have been made in the molecular mechanisms, diagnostic methods, prognostication, and treatment options in hematologic malignancies. As the treatment landscape continues to expand, personalized treatment is much more important.

With the development of new technologies, more sensitive evaluation of residual disease using flow cytometry and next generation sequencing is possible nowadays. Although some conventional biomarkers preserve their significance, novel potential biomarkers accurately detect the mutational landscape of different cancers, and also, serve as prognostic and predictive biomarkers, which can be used in evaluating therapy responses and relapses. It is likely that we will be able to offer a more targeted and risk-adapted therapeutic approach to patients with hematologic malignancies guided by these potential biomarkers. This chapter summarizes the biomarkers used (or proposed to be used) in the diagnosis and/or monitoring of hematologic neoplasms.;

Kinase Inhibition in Multiple Myeloma: Current Scenario and Clinical Perspectives

Multiple myeloma (MM) is a blood cell neoplasm characterized by excessive production of malignant monoclonal plasma cells (activated B lymphocytes) by the bone marrow, which end up synthesizing antibodies or antibody fragments, called M proteins, in excess. The accumulation of this production, both cells themselves and of the immunoglobulins, causes a series of problems for the patient, of a systemic and local nature, such as blood hyperviscosity, renal failure, anemia, bone lesions, and infections due to compromised immunity. MM is the third most common hematological neoplasm, constituting 1% of all cancer cases, and is a disease that is difficult to treat, still being considered an incurable disease. The treatments currently available cannot cure the patient, but only extend their lifespan, and the main and most effective alternative is autologous hematopoietic stem cell transplantation, but not every patient is eligible, often due to age and pre-existing comorbidities. In this context, the search for new therapies that can bring better results to patients is of utmost importance. Protein tyrosine kinases (PTKs) are involved in several biological processes, such as cell growth regulation and proliferation, thus, mutations that affect their functionality can have a great impact on crucial molecular pathways in the cells, leading to tumorigenesis. In the past couple of decades, the use of small-molecule inhibitors, which include tyrosine kinase inhibitors (TKIs), has been a hallmark in the treatment of hematological malignancies, and MM patients may also benefit from TKI-based treatment strategies. In this review, we seek to understand the applicability of TKIs used in MM clinical trials in the last 10 years.

CD24 Is a Prognostic Marker for Multiple Myeloma Progression and Survival

Surface antigens are commonly used in flow cytometry assays for the diagnosis of multiple myeloma (MM). Some of these are directly involved in MM pathogenesis or interactions with the microenvironment, but most are used for either diagnostic or prognostic purposes. In a previous study, we showed that in-vitro, CD24-positive plasma cells exhibit a less tumorigenic phenotype. Here, we assessed the prognostic importance of CD24 expression in patients newly diagnosed with MM as it correlates to their clinical course. Immunophenotyping by flow cytometry of 124 patients uniformly treated by a bortezomib-based protocol was performed. The expression of CD24, CD117, CD19, CD45, and CD56 in bone marrow PCs was tested for correlations to clinical parameters. None of the CD markers correlated with the response rates to first-line therapy. However, patients with elevated CD24+ expression on their PCs at diagnosis had a significantly longer PFS (p = 0.002) and OS (p = 0.044). In contrast, the expression of CD117, CD56, or CD45 was found to have no prognostic value; CD19 expression was inversely correlated with PFS alone (p < 0.001) and not with OS. Thus, elevated CD24 expression on PCs appears to be strongly correlated with survival and can be used as a single-surface antigenic prognostic factor in MM.

Characteristics and clinical outcome of high-risk multiple myeloma patients in Korea (KMM 1805)

Optimal treatments for multiple myeloma (MM) patients with high-risk cytogenetics must be determined, but subgroup features are not well-defined. We used real-world data from the Korean Myeloma Registry (KMR) to analyze the characteristics and clinical outcomes of newly diagnosed MM patients with ≥ 1 high-risk cytogenetic abnormality: Group 1: t(4;14) or t(14;16); Group 2: del(17p); Group 3: t(4;14)/del(17p) or t(14;16)/del(17p). Overall, 347 high-risk patients were identified (males, 48.7%; median age, 63 years). Median progression-free survival (PFS) and overall survival (OS) were 19.0 months (95% CI 17.0-20.0) and 50.0 months (95% CI 37.0-61.0), respectively. PFS (p = 0.047) and OS (p = 0.020) differed significantly between groups. After stratification by transplant eligibility, PFS and OS were significantly poorer in Group 3 among transplant-eligible patients, and even poorer in those with gain(1q). Patients stratified by cytogenetic abnormality and revised International Staging System (R-ISS) had significantly different PFS (p < 0.001) and OS (p = 0.003), with the worst survival in R-ISS III/Group 3 (median OS 21.0 months). Higher number of high-risk cytogenetic abnormalities was a negative prognostic marker for PFS and OS (p < 0.001). Real-world KMR data showed that risk factors for poor prognosis of MM patients included del(17p), R-ISS stage, and number of cytogenetic abnormalities.

Update on the role and utility of extracellular vesicles in hematological malignancies

Extracellular vesicles (EVs) are membrane-surrounded cellular particles released by virtually any cell type, containing numerous bioactive molecules, including lipids, proteins, and nucleic acids. EVs act as a very efficient intercellular communication system by releasing their content into target cells, thus affecting their fate and influencing several biological processes. EVs are released both in physiological and pathological conditions, including several types of cancers. In hematological malignancies (HM), EVs have emerged as new critical players, contributing to tumor-to-stroma, stroma-to-tumor, and tumor-to-tumor cell communication. Therefore, EVs have been shown to play a crucial role in the pathogenesis and clinical course of several HM, contributing to tumor development, progression, and drug resistance. Furthermore, tumor EVs can reprogram the bone marrow (BM) microenvironment and turn it into a sanctuary, in which cancer cells suppress both the normal hematopoiesis and the immunological anti-tumor activity, conferring a therapy-resistant phenotype. Due to their physicochemical characteristics and pro-tumor properties, EVs have been suggested as new diagnostic biomarkers, therapeutic targets, and pharmacological nanocarriers. This review aims to provide an update on the pathogenetic contribution and the putative therapeutic utility of EVs in hematological diseases.

11C-acetate positron emission tomography is more precise than 18F-fluorodeoxyglucose positron emission tomography in evaluating tumor burden and predicting disease risk of multiple myeloma

The optimal method of tumor burden evaluation in newly diagnosed multiple myeloma (NDMM) is yet to be determined. This study aimed to compare the value of ¹¹C-acetate positron-emission tomography (PET)/computed tomography (CT) (AC-PET and ¹⁸F-fluorodeoxyglucose PET/CT (FDG-PET) in the assessment of tumor burden in NDMM. This study evaluated 64 NDMM patients between February 2015 and July 2018. AC-PET and FDG-PET were used to assess myeloma lesions. The clinical data, imaging results, and their correlations were analyzed. Diffuse bone marrow uptake in AC-PET was significantly correlated with biomarkers for tumor burden, including serum hemoglobin (P = 0.020), M protein (P = 0.054), the percentage of bone marrow plasma cells (P < 0.001), and the Durie–Salmon stage of the disease (P = 0.007). The maximum standard uptake value (SUV_max) of focal lesions and high diffuse bone marrow uptake in AC-PET showed stronger correlations with high-risk disease (P = 0.017, P = 0.013) than those in FDG-PET. Moreover, the presence of diffuse bone marrow uptake, more than ten focal lesions, and an SUV_max of focal lesions of > 6.0 in AC-PET, but not in FDG-PET, predicted a higher probability of disease progression and shorter progression-free survival (P < 0.05). AC-PET outperformed FDG-PET in tumor burden evaluation and disease progression prediction in NDMM.

Kinetics of response to first- and second-line therapies in multiple myeloma: Assessment by both M-spikes and light chains

OBJECTIVES

The prognostic value of kinetics of response to multiple myeloma (MM) therapy is controversial. We aimed to expand the knowledge on this topic by reviewing the kinetics of response to both first- and second-line MM therapy, utilizing a homogeneously treated cohort and analyzing separately both M-spike and light chain (LC) responses for each patient.

METHODS

We reviewed all patients who received first-line cyclophosphamide, bortezomib and dexamethasone induction followed by autologous transplant with melphalan and lenalidomide maintenance in our center between 2007 and 2019.

RESULTS

Analyzing 360 patients, we observed no correlation between response kinetics to first- versus second-line therapy at the individual patient level. Time to best response to first-line therapy was not a predictor of outcome; however, longer time to best response was highly predictive of a favorable outcome in the second-line setting, independent of other factors. Patients with IgA-MM cleared their M-spike faster than IgG-MM, probably reflecting different half-lives of these isotypes rather than disease biology, as the clearance of LC in both subtypes was similar.

CONCLUSIONS

Analyzing both M-spike and LC responses in a homogenously treated cohort, we identified important insights regarding the prognostic value of kinetic patterns. Prospective analysis may shed more light on unsolved questions.

Prognostic Relevance of Concordant Expression CD69 and CD56 in Response to Bortezomib Combination Therapy in Multiple Myeloma Patients

OBJECTIVE

Multiple myeloma is an incurable hematological malignancy. Currently, the use of proteasome inhibitors could be superior to chemotherapy-based regimen in the treatment of this disease. However, resistance to bortezomib combination therapy still occurs in some patients. So, this research work aims to assess CD69 and CD56 expression in these cases and their relation to the response to therapy.

MATERIALS AND METHODS

Immunophenotyping by 4-color multi-parameter flow cytometry was carried out on 98 multiple myeloma cases. Clonal plasma cells were gated by co-expression of CD38 with CD138 with low SSC, negative or dim CD45.

RESULTS

Double negative CD69 and CD56 (47.9%) multiple myeloma cases were associated with high serum β2 microglobulin, creatinine, calcium and low serum albumin. There was also a significant correlation between the absence of these markers with osteolytic lesions and unfavorable cytogenetic t (4;14) (p < 0.001). Moreover, there was a highly significant correlation between CD69- and CD56- with non-response to bortezomib combination therapy in multiple myeloma patients (p < 0.0001). Regression analysis for the prediction of non- response to treatment in these cases using different prognostic indicators revealed that high serum β2 microglobulin, unfavorable cytogenetic, advanced stage, and low expression of CD69 and CD56 were poor predictors of non-response.

CONCLUSION

CD69 in association with CD56 could be an independent prognostic factor in multiple myeloma cases. It could be used in the routine laboratory assessment for refining stratification and timely therapeutic decision for highly cost therapy in developing countries.

Treatment patterns and outcomes in real-world transplant-ineligible patients newly diagnosed with multiple myeloma

Despite the significant proportion of older patients with newly diagnosed multiple myeloma (MM), most clinical trials driving therapeutic decisions in routine practice include younger and presumably healthier patients than those in the real world. Furthermore, longitudinal studies suggest that elderly, transplant-ineligible patients with MM are not benefitting enough from new anti-MM agents. We retrospectively analyzed the profile of and treatment patterns and outcomes in 675 transplant-ineligible patients with MM who started frontline therapy in routine practice. The mean (SD) age was 75.6 (6.7) years; 152 (47.4%) had Eastern Cooperative Oncology Group performance status (ECOG PS) 2-4, and 73 (25.1%) had high cytogenetic risk. The most frequent frontline therapy was non-VMP bortezomib-based regimens (n=207; 30.7%), which were more frequent among patients with ECOG PS 0/1 and higher risk (e.g., international staging system (ISS) stage III, severely impaired glomerular filtrate rate (GFR), high lactate dehydrogenase (LDH), and high-risk cytogenetics); 185 patients (27.4%) started an attenuated (lite) VMP regimen, and 159 (23.6%) a VMP (VISTA) regimen. Median progression-free survival and overall survival (OS) were 15.3 months (95%CI 14.0-16.9) and 33.5 months (95%CI 29.1-37.2), respectively; 405 patients (78.2%) achieved partial response or better. Age, ECOG PS, ISS stage, serum LDH, GFR, cytogenetic risk, and treatment regimen significantly influenced OS. In this study, a remarkable proportion of transplant-ineligible patients with MM were older, frontline regimens were highly heterogeneous, and patients at higher risk often received less efficacious combinations. These findings suggest that clinicians have limited objective criteria for therapeutic decisions for this patient group.

Telomere Architecture Correlates with Aggressiveness in Multiple Myeloma

Simple Summary

Multiple myeloma (MM) remains an incurable blood cancer. One of the current challenges in patient management is the risk assessment and subsequent treatment management for each patient with MM. Patients with an identical diagnosis may present very different disease courses and outcomes. This challenge of MM is a current focus of the scientific and medical communities. In our research, we have used an imaging approach to determine the risk of MM patients to progressive/aggressive disease. Using three-dimensional (3D) imaging of telomeres, the ends of chromosomes, we report that specific telomeric profiles are associated with aggressive disease.

Abstract

The prognosis of multiple myeloma (MM), an incurable B-cell malignancy, has significantly improved through the introduction of novel therapeutic modalities. Myeloma prognosis is essentially determined by cytogenetics, both at diagnosis and at disease progression. However, for a large cohort of patients, cytogenetic analysis is not always available. In addition, myeloma patients with favorable cytogenetics can display an aggressive clinical course. Therefore, it is necessary to develop additional prognostic and predictive markers for this disease to allow for patient risk stratification and personalized clinical decision-making. Genomic instability is a prominent characteristic in MM, and we have previously shown that the three-dimensional (3D) nuclear organization of telomeres is a marker of both genomic instability and genetic heterogeneity in myeloma. In this study, we compared in a longitudinal prospective study blindly the 3D telomeric profiles from bone marrow samples of 214 initially treatment-naïve patients with either monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM), or MM, with a minimum follow-up of 5 years. Here, we report distinctive 3D telomeric profiles correlating with disease aggressiveness and patient response to treatment in MM patients, and also distinctive 3D telomeric profiles for disease progression in smoldering multiple myeloma patients. In particular, lower average intensity (telomere length, below 13,500 arbitrary units) and increased number of telomere aggregates are associated with shorter survival and could be used as a prognostic factor to identify high-risk SMM and MM patients.

Cyclopamine sensitizes multiple myeloma cells to circularly permuted TRAIL-induced apoptosis

Tumor necrosis factor related apoptosis inducing ligand (TRAIL) is a promising anti-myeloma drug prototype. The aim of the present study was to investigate the synergistic effects of cyclopamine and circularly permuted TRAIL (CPT) on the proliferation and apoptosis of multiple myeloma cells. The results showed that the inhibitory effects of cyclopamine on the proliferation of human myeloma RPMI-8226 and SKO-007 cells were weak. RPMI-8226 cells were sensitive to CPT; however, the proliferation of SKO-007 cells was not effectively inhibited by CPT. SKO-007 cells were thus considered resistant to cyclopamine and CPT and used for subsequent experiments. Treatment with a combination of cyclopamine and CPT significantly inhibited cell proliferation. Moreover, the Q value showed that cyclopamine combined with CPT could synergistically inhibit the proliferation of SKO-007 cells. Cyclopamine increased CPT-induced apoptosis in the SKO-007 cells and exhibited a synergistic induction of apoptosis when combined with CPT. Moreover, the combination of cyclopamine and CPT decreased the ratio of myeloma stem cells. Quantitative PCR showed that cyclopamine decreased the mRNA expression levels of GLI1/GLI2/GLI3 and increased the expression levels of death receptor 4. In conclusion, the present study showed that a combination of cyclopamine and CPT exhibited synergistic effects on the inhibition of proliferation and induction of apoptosis in myeloma cells.

A proposed index of diffuse bone marrow [18F]-FDG uptake and PET skeletal patterns correlate with myeloma prognostic markers, plasma cell morphology, and response to therapy

PURPOSE

The investigation of a semi-quantitative index in the pelvis to assess for diffuse bone marrow (BM) [18F]-FDG uptake and the investigation of PET skeletal patterns in multiple myeloma (MM) patients, in accordance with prognostic markers, clonal plasma cell (cPC) morphology, and response to therapy.

METHODS

We prospectively analyzed [18F]-FDG PET/CT in 90 MM patients (newly diagnosed, 60; relapsed/refractory, 30). Among other PET/CT parameters, we calculated the ratio SUVmax pelvis/liver and examined for correlations with known MM prognostic parameters, cPC morphology (good vs. low/intermediate differentiation), and response to therapy.

RESULTS

SUVmax pelvis/liver ratio was significantly lower for the group of good differentiation vs. intermediate/low differentiation cPCs (p < 0.001) and showed a positive correlation with BM infiltration rate, β2 microglobulin, serum ferritin, international staging system (ISS), and revised ISS; no significant correlation was found with hemoglobin. A cutoff value of 1.1 showed an excellent specificity (99%) and high sensitivity (76%) for diffuse BM involvement (AUC 0.94; p < 0.001). Mixed pattern and appendicular involvement correlated with poor prognostic features while normal pattern, found in 30% of patients, correlated with good prognostic features. Presence of ≥ 10 focal lesions negatively predicted for overall response (p < 0.05; OR 4.8). The CT component improved the diagnostic performance of PET.

CONCLUSION

This study showed, for the first time, that cPC morphology and markers related with MM biology, correlate with SUVmax pelvis/liver index, which could be used as a surrogate marker for BM assessment and disease prognosis; PET patterns correlate with MM prognostic features and response rates.

Upfront stem cell transplantation for newly diagnosed multiple myeloma with del(17p) and t(4;14): a study from the CMWP-EBMT

We analyzed newly diagnosed multiple myeloma patients with del(17p) and/or t(4;14) undergoing either upfront single autologous (auto), tandem autologous (auto-auto) or tandem autologous/reduced-intensity allogeneic (auto-allo) stem cell transplantation. 623 patients underwent either auto (n = 446), auto-auto (n = 105), or auto-allo (n = 72) between 2000 and 2015. 46% of patients had t(4;14), 45% had del(17p) while 9% were reported having both abnormalities. Five-year overall survival (OS) was 51% (95% confidence interval [CI], 45-58%) for single auto, 60% (95% CI, 49-72%) for auto-auto, and 67% (95% CI, 53-80%) for auto-allo (p = 0.187). Five-year progression-free survival (PFS) was 17% (95% CI, 12-22%), 33% (95% CI, 22-43%), and 34% (95% CI, 21-38%; p = 0.048). Five-year relapse rate was 82, 63, and 56%, while non-relapse mortality was 1, 4, and 10%. In multivariable analysis, in t(4;14) with single auto as reference, auto-auto (hazard ratio [HR], 0.44; p = 0.007) and auto-allo (HR, 0.45; p = 0.018) were associated with better PFS. In terms of t(4;14) and OS, auto-auto appeared to improve outcome compared with single auto (HR, 0.49; p = 0.096). In del(17p), outcome in PFS was similar between single auto and auto-auto, while auto-allo appeared to improve PFS (HR, 0.65; p = 0.097). No significant difference in OS was identified between the groups in patients with del(17p).

Final analysis of a phase 1/2b study of ibrutinib combined with carfilzomib/dexamethasone in patients with relapsed/refractory multiple myeloma

Patients with multiple myeloma (MM) inevitably relapse on initial treatment regimens, and novel combination therapies are needed. Ibrutinib is a first‐in‐class, once‐daily inhibitor of Bruton's tyrosine kinase, an enzyme implicated in growth and survival of MM cells. Preclinical data suggest supra‐additivity or synergy between ibrutinib and proteasome inhibitors (PIs) against MM. This phase 1/2b study evaluated the efficacy and safety of ibrutinib plus the PI carfilzomib and dexamethasone in patients with relapsed/refractory MM (RRMM). In this final analysis, we report results in patients who received the recommended phase 2 dose (RP2D; ibrutinib 840 mg and carfilzomib 36 mg/m² with dexamethasone), which was determined in phase 1. The primary efficacy endpoint was overall response rate (ORR). Fifty‐nine patients with RRMM received the RP2D (18 in phase 1 and 41 in phase 2b). These patients had received a median of three prior lines of therapy; 69% were refractory to bortezomib, and 90% were refractory to their last treatment. ORR in the RP2D population was 71% (stringent complete response and complete response: 3% each). Median duration of clinical benefit and median duration of response were both 6.5 months. Median progression‐free survival (PFS) was 7.4 months, and median overall survival (OS) was 35.9 months. High‐risk patients had comparable ORR and median PFS (67% and 7.7 months, respectively) to non–high‐risk patients, whose ORR was 73% and median PFS was 6.9 months, whereas median OS in high‐risk patients was 13.9 months and not reached in non–high‐risk patients. The most common grade ≥3 hematologic treatment‐emergent adverse events (TEAEs) were anemia and thrombocytopenia (17% each); the most common grade ≥3 non‐hematologic TEAE was hypertension (19%). In patients with RRMM treated with multiple previous lines of therapy, ibrutinib plus carfilzomib demonstrated anticancer activity within the expected efficacy range. No new safety signals were identified and the combination was well‐tolerated.

The significance of prognostic profiling in the treatment of patients with multiple myeloma

Multiple myeloma (MM) is a hematological neoplasia characterized by clonal expansion of the most mature B lymphocytes, plasma cells (Plc), in the bone marrow (BM). Due to new treatment modalities, the 5-years survival has improved in the last 15 years, and nowdays ranges from 60-70%. The individual prognostic profile is based on the biological characteristics of the disease, clinical characteristics of patients and therapeutics response characteristics. The biological characteristics of the disease are defined by the clinical stage according to the Durie-Salmon classification and prognostic indices such the international staging system (ISS) and revised ISS (R-ISS). Numerous different mutations of prognostic significance have been discovered applying methods of molecular genetics such as next generation sequencing (NGS). The age and comorbity status of patients are the most important clinical characteristics because they are crucial for therapeutic choice and suitability for treatment with high-dose chemotherapy and autologous stem cell transplantation. The prognostic influence of therapeutic response is very important and the most powerful prognostic factors are achievements of complete remission (CR) and minimal residual disease (MRD) negativity.

Updates from the 2019 American Society of Clinical Oncology and European Hematology Association annual meetings: a Canadian perspective on high-risk cytogenetics in multiple myeloma

The 2019 annual meetings of the American Society of Clinical Oncology and the European Hematology Association took place, respectively, in Chicago, Illinois, 31 May-4 June, and in Amsterdam, Netherlands, 13-16 June. At the meetings, results from key studies on the treatment of patients with relapsed or refractory multiple myeloma with high-risk cytogenetics were presented. Our meeting report describes those studies and includes interviews with investigators and commentaries by Canadian hematologists about the potential impact on Canadian practice.

Fluorodeoxyglucose-PET/Computed Tomography as a Predictor of Prognosis in Multiple Myeloma

Fluorodeoxyglucose-PET/CT is a valuable tool for the work-up of patients with newly diagnosed and relapsed/refractory multiple myeloma, because it assesses bone damage with high sensitivity and specificity and detects extramedullary sites of proliferating clonal plasma cells (extramedullary diseases). PET/CT provides valuable prognostic data at diagnosis and at restaging during the course of the disease. Consistencies between independent studies confirm the negative prognostic value of extramedullary disease and greater than 3 focal lesions, whereas the role of standardized uptake value is more conflicting. Standardization of the technique is ongoing.