Prognosis Of Multiple Myeloma Research Articles

Prognosis of concurrent renal impairment at diagnosis of multiple myeloma: a systematic review

Background Multiple myeloma is a malignant tumour of the blood in which abnormal proliferation of plasma cells leads to bone destruction, renal impairment, anaemia, and hypercalcaemia. Renal impairment caused by multiple myeloma is a common and serious condition; however, the prognosis of multiple myeloma at the time of diagnosis remains unclear. Method We conducted searches for literature in PubMed, Web of Science, Cochrane, Embase, CNKI, Wanfang, and VIP databases up to 30 April 2023. Progression-free survival and overall survival with and without renal impairment at the time of multiple myeloma diagnosis were compared, and prognostic indicators were analysed. Results Six studies were finally included. Among patients with multiple myeloma, 319 had renal impairment, and 1166 had no renal impairment. Compared to the control group, no significant difference was observed in overall or progression-free survival in patients with multiple myeloma complicated with renal impairment. Conclusion The limited low-quality evidence available does not support an association between prognosis and multiple myeloma complicated by kidney injury.

Identification and prognostic analysis of metabolic genes associated with TP53 mutation in multiple myeloma

ABSTRACT Background TP53 gene mutation is crucial in determining the prognosis of Multiple Myeloma (MM) patients. Understanding metabolic genes linked to TP53 mutation is vital for developing targeted therapies for these patients. Method We analyzed The Cancer Genome Atlas (TCGA) dataset to identify genes related to TP53 mutation and metabolism. Using univariate Cox regression and protein–protein interaction (PPI) analysis, we identified key genes. We categorized patients into high and low metabolism groups via non-negative matrix factorization (NMF) clustering, which led to the discovery of relevant differential genes. Integrating these with genes from the Gene Expression Omnibus (GEO) datasets and PPI interactions, we pinpointed crucial metabolic genes associated with TP53 mutation in MM. Additionally, we conducted prognostic analyses involving survival curves and receiver operating characteristic (ROC) charts. Results Our study reveals that the metabolic gene ribonucleotide reductase M2 (RRM2), linked to TP53 mutation, correlates positively with the International Staging System (ISS) stage in MM patients and is an independent prognostic risk factor. In the TCGA dataset, among the 767 patients, the 35 MM patients with TP53 mutation generally had poor survival outcomes. Specifically, the patients with both TP53 mutation and high RRM2 expression had a 2-year survival rate of only 38.87%, whereas those with normal TP53 function and low RRM2 expression had a 2-year survival rate of 86.31% (p < 0.001). Conclusion RRM2 significantly impacts MM prognosis and is associated with TP53 mutation, presenting itself as a potential therapeutic target and prognostic marker for MM.

Monoclonal Antibodies in Smoldering Multiple Myeloma and Monoclonal Gammopathy of Undetermined Significance: Current Status and Future Directions.

Monoclonal antibodies (MoAbs) targeting several cellular receptors have significantly improved the prognosis of multiple myeloma (MM). Their high effectiveness and safety raise the question of whether earlier therapeutic intervention in monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) influences the natural course of the disease. MM is preceded by clinically recognized conditions such as MGUS and SMM. Numerous studies are investigating the disease biology and immune profile of SMM and MGUS to unravel the intricate relationship between immunosurveillance and disease progression. The standard approach to MGUS and SMM remains close observation. Early studies indicate benefits in terms of progression or even survival for promptly treating high-risk SMM patients. Ongoing debates are focused on which patients with SMM and MGUS to treat, as well as on determining the optimal therapeutic approach. The first approach aims to cure by attempting to eliminate the pathological clone, while the second approach is preventive, aiming to manage disease progression to active MM and restore the immune system. In this review, we focus on the available and emerging data on early treatment, particularly with MoAbs alone or in combination with other therapies, in SMM and MGUS patients.

Identification of a novel lactylation-related gene signature predicts the prognosis of multiple myeloma and experiment verification

Multiple myeloma (MM) is an incurable hematological malignancy with poor survival. Accumulating evidence reveals that lactylation modification plays a vital role in tumorigenesis. However, research on lactylation-related genes (LRGs) in predicting the prognosis of MM remains limited. Differentially expressed LRGs (DELRGs) between MM and normal samples were investigated from the Gene Expression Omnibus database. Univariate Cox regression and LASSO Cox regression analysis were applied to construct gene signature associated with overall survival. The signature was validated in two external datasets. A nomogram was further constructed and evaluated. Additionally, Enrichment analysis, immune analysis, and drug chemosensitivity analysis between the two groups were investigated. qPCR and immunofluorescence staining were performed to validate the expression and localization of PFN1. CCK-8 and flow cytometry were performed to validate biological function. A total of 9 LRGs (TRIM28, PPIA, SOD1, RRP1B, IARS2, RB1, PFN1, PRCC, and FABP5) were selected to establish the prognostic signature. Kaplan–Meier survival curves showed that high-risk group patients had a remarkably worse prognosis in the training and validation cohorts. A nomogram was constructed based on LRGs signature and clinical characteristics, and showed excellent predictive power by calibration curve and C-index. Moreover, biological pathways, immunologic status, as well as sensitivity to chemotherapy drugs were different between high- and low-risk groups. Additionally, the hub gene PFN1 is highly expressed in MM, knocking down PFN1 induces cell cycle arrest, suppresses cell proliferation and promotes cell apoptosis. In conclusion, our study revealed that LRGs signature is a promising biomarker for MM that can effectively early distinguish high-risk patients and predict prognosis.

The impact of daratumumab pretreatment on multiple myeloma patients undergoing autologous transplantation.

The anti-CD38 antibody daratumumab (Dara) has been reported to improve the prognosis of multiple myeloma (MM) patients, but its use before autologous stem cell transplantation (ASCT) remains controversial. To clarify the prognostic impact of Dara before ASCT on MM, we performed a retrospective observational analysis. We analyzed 2626 patients who underwent ASCT between 2017 and 2020. In the comparison between patients not administered Dara (Dara- group) and those administered Dara (Dara+ group), the 1-year progression-free survival (PFS) rates were 87.4% and 77.3% and the 1-year overall survival (OS) rates were 96.7% and 90.0%, respectively. In multivariate analysis, age <65 years (p = 0.015), low international staging system (ISS) stage (p < 0.001), absence of unfavorable cytogenic abnormalities (p < 0.001), no Dara use before ASCT (p = 0.037), and good treatment response before ASCT (p < 0.001) were independently associated with superior PFS. In matched pair analysis, the PFS/OS of the Dara- group were also significantly superior. For MM patients who achieved complete or very good partial response (CR/VGPR) by Dara addition before ASCT, both PFS and OS significantly improved. However, in patients who did not achieve CR/VGPR before ASCT, the PFS/OS of the Dara+ group were significantly inferior to those of the Dara- group.

Cytidine triphosphate synthase 1-mediated metabolic reprogramming promotes proliferation and drug resistance in multiple myeloma

Upregulation of metabolism-related gene cytidine triphosphate synthase 1 (CTPS1) is associated with poor prognosis in multiple myeloma (MM). However, its role in MM remains unclear. In this study, bioinformatics analysis revealed significant differences in CTPS1 expression levels among various plasma cell malignancies. The patients with high CTPS1 expression had poor overall survival, progression-free survival, and event-free survival. CTPS1 was significantly correlated with sex, albumin, β2 microglobulin, lactate dehydrogenase, and advanced disease. In vitro experiments demonstrated that CTPS1-overexpressing (CTPS1-OE) cells proliferated faster than CTPS1-short hairpin RNA (CTPS1-sh) cells. NRG-SGM3 mice showed significantly accelerated tumor growth in the CTPS1-OE group. CTPS1-OE decreased sensitivity to bortezomib, whereas CTPS1-sh increased sensitivity to bortezomib in MM cell lines. Mechanistically, CTPS1 was primarily involved in metabolism processes. Additionally, CTPS1 was closely related to several co-expressed genes such as MYC and the bone marrow immune microenvironment. In conclusion, CTPS1 is a significant prognostic biomarker for patients with MM, suggesting a potential therapeutic target.

NK cells with adhesion defects and reduced cytotoxic functions are associated with a poor prognosis in multiple myeloma

AbstractThe promising results obtained with immunotherapeutic approaches for multiple myeloma (MM) call for a better stratification of patients based on immune components. The most pressing being cytotoxic lymphocytes such as natural killer (NK) cells that are mandatory for MM surveillance and therapy. Here, we performed a single-cell RNA sequencing analysis of NK cells from 10 patients with MM and 10 age/sex–matched healthy donors that revealed important transcriptomic changes in the NK cell landscape affecting both the bone marrow (BM) and peripheral blood compartment. The frequency of mature cytotoxic CD56dim NK cell subsets was reduced in patients with MM at the advantage of late-stage NK cell subsets expressing NF-κB and interferon-I inflammatory signatures. These NK cell subsets accumulating in patients with MM were characterized by low CD16 and CD226 expression and poor cytotoxic functions. MM CD16/CD226Lo NK cells also had adhesion defects with reduced LFA-1 integrin activation and actin polymerization that may account for their limited effector functions in vitro. Finally, analysis of BM-infiltrating NK cells in a retrospective cohort of 177 patients with MM from the IFM 2009 trial demonstrated that a high frequency of NK cells and their low CD16 and CD226 expression were associated with a shorter overall survival. Thus, CD16/CD226Lo NK cells with reduced effector functions accumulate along MM development and negatively affect patients’ clinical outcomes. Given the growing interest in harnessing NK cells to treat myeloma, this improved knowledge around MM–associated NK cell dysfunction will stimulate the development of more efficient immunotherapeutic drugs against MM.

Functional Investigation of IGF1R Mutations in Multiple Myeloma.

High expression of the receptor tyrosine kinase (RTK) insulin-like growth factor-1 receptor (IGF1R) and RTK mutations are associated with high-risk/worse prognosis in multiple myeloma (MM). Combining the pIGF1R/pINSR inhibitor linsitinib with the proteasome inhibitor (PI) bortezomib seemed promising in a clinical trial, but IGF1R expression was not associated with therapy response. Because the oncogenic impact of IGF1R mutations is so far unknown, we investigated the functional impact of IGF1R mutations on survival signaling, viability/proliferation and survival response to therapy. We transfected four human myeloma cell lines (HMCLs) with IGF1RWT, IGF1RD1146N and IGF1RN1129S (Sleeping Beauty), generated CRISPR-Cas9 IGF1R knockouts in the HMCLs U-266 (IGF1RWT) and L-363 (IGF1RD1146N) and tested the anti-MM activity of linsitinib alone and in combination with the second-generation PI carfilzomib in seven HMCLs. IGF1R knockout entailed reduced proliferation. Upon IGF1R overexpression, survival signaling was moderately increased in all HCMLs and slightly affected by IGF1RN1129S in one HMCL, whereby the viability remained unaffected. Expression of IGF1RD1146N reduced pIGF1R-Y1135, especially under serum reduction, but did not impact downstream signaling. Linsitinib and carfilzomib showed enhanced anti-myeloma activity in six out of seven HMCL irrespective of the IGF1R mutation status. In conclusion, IGF1R mutations can impact IGF1R activation and/or downstream signaling, and a combination of linsitinib with carfilzomib might be a suitable therapeutic approach for MM patients potentially responsive to IGF1R blockade.

The Value of sFLC and Serum Calcium in the Diagnosis and Prognosis of Multiple Myeloma Patients

To investigate the value of serum free light chain (sFLC) and serum calcium ion in the diagnosis and prognosis of multiple myeloma (MM). Forty patients with MM treated in Henan Provincial People's Hospital from January 2018 to January 2022 were selected as the observation group, and 40 healthy volunteers were selected as the control group. The differences of sFLC-κ、sFLC-λ、sFLC-κ/λ, serum calcium ions, etc between the two groups were compared. Meanwhile, the differences of sFLC-κ、sFLC-λ、sFLC-κ/λ, serum calcium ions, etc in different international staging systems (ISS), chemotherapy efficacy and prognosis patients were analyzed. The levels of sFLC-κ［(98.39±21.19) vs (12.01±4.45) mg/L］, sFLC-λ［(210.20±45.54) vs (14.10±5.11) mg/L］ and proportions of hypocalcemia （65% vs 0） in the observation group were significantly higher than those in the control group (P < 0.05), while sFLC-κ/ λ ratio［（0.44±0.10） vs (0.87±0.12)］ and serum calcium ions ［（1.98±0.46） vs （2.42±0.40）mmol/L］ were significantly lower than those in the control group (P < 0.05). The sFLC-κ, sFLC-λ, the proportion of hypocalcemia and the course of hypocalcemia in ISS stage III patients in the observation group were significantly higher than those in stage I and II patients (P < 0.05), while sFLC-κ/λ ratio, and serum calcium ions were significantly lower than those in stage I and II patients (P < 0.05). The levels of sFLC-κ ［（107.76±21.22） vs （94.67±20.11）mg/L］, sFLC- λ［（245.54±41.12） vs （205.54±50.22）mg/L］ of patients with hypocalcemia in the observation group was significantly higher than those without hypocalcemia (P < 0.05), while the sFLC-κ/λ ratio was significantly lower than those without hypocalcemia ［（0.42±0.04） vs （0.47±0.06）；P < 0.05］. The levels of sFLC-κ ［(107.29±20.14） vs （ 91.11±18.92）mg/L］, sFLC-λ［（247.98±42.26） vs （179.29±39.32）mg/L］ in patients with ineffective chemotherapy were significantly higher than those in patients with effective chemotherapy (P < 0.05), while the sFLC-κ/λ ratio was significantly lower than those in patients with effective chemotherapy ［(0.43±0.10) vs (0.50±0.09)；P < 0.05）］. The area under the ROC curve for sFLC-κ, sFLC-λ, sFLC-κ/λ predicting ineffective chemotherapy was 0.803, 0.793 and 0.699 respectively, P < 0.05. There was no significant difference in sFLC-κ, sFLC-λ, sFLC-κ/λ ratio, serum calcium ion, hypocalcemia ratio and hypocalcemia course between survival and death patients (P >0.05). sFLC and serum calcium are related to ISS stage of MM patients. sFLC level has a certain value to predict the curative effect of chemotherapy in MM patients. However, the prognostic values of sFLC and serum calcium are not yet confirmed for MM patients.

Identification and validation of a platelet-related signature for predicting survival and drug sensitivity in multiple myeloma.

Background: Significant progress has been achieved in the management of multiple myeloma (MM) by implementing high-dose therapy and stem cell transplantation. Moreover, the prognosis of patients has been enhanced due to the introduction of novel immunomodulatory drugs and the emergence of new targeted therapies. However, predicting the survival rates of patients with multiple myeloma is still tricky. According to recent researches, platelets have a significant impact in affecting the biological activity of tumors and are essential parts of the tumor microenvironment. Nonetheless, it is still unclear how platelet-related genes (PRGs) connect to the prognosis of multiple myeloma. Methods: We analyzed the expression of platelet-related genes and their prognostic value in multiple myeloma patients in this study. We also created a nomogram combining clinical metrics. Furthermore, we investigated disparities in the biological characteristics, immunological microenvironment, and reaction to immunotherapy, along with analyzing the drug susceptibility within diverse risk groups. Results: By using the platelet-related risk model, we were able to predict patients' prognosis more accurately. Subjects in the high-risk cohort exhibited inferior survival outcomes, both in the training and validation datasets, as compared to those in the low-risk cohort (p < 0.05). Moreover, there were differences in the immunological microenvironments, biological processes, clinical features, and chemotherapeutic drug sensitivity between the groups at high and low risk. Using multivariable Cox regression analyses, platelet-related risk score was shown to be an independent prognostic influence in MM (p < 0.001, hazard ratio (HR) = 2.001%, 95% confidence interval (CI): 1.467-2.730). Furthermore, the capacity to predict survival was further improved when a combined nomogram was utilized. In training cohort, this outperformed the predictive value of International staging system (ISS) alone from a 5-years area under curve (AUC) = 0.668 (95% CI: 0.611-0.725) to an AUC = 0.721 (95% CI: 0.665-0.778). Conclusion: Our study revealed the potential benefits of PRGs in terms of survival prognosis of MM patients. Furthermore, we verified its potential as a drug target for MM patients. These findings open up novel possibilities for prognostic evaluation and treatment choices for MM.

Predicting cytogenetic risk in multiple myeloma using conventional whole-body MRI, spinal dynamic contrast-enhanced MRI, and spinal diffusion-weighted imaging

ObjectivesCytogenetic abnormalities are predictors of poor prognosis in multiple myeloma (MM). This paper aims to build and validate a multiparametric conventional and functional whole-body MRI-based prediction model for cytogenetic risk classification in newly diagnosed MM.MethodsPatients with newly diagnosed MM who underwent multiparametric conventional whole-body MRI, spinal dynamic contrast-enhanced (DCE-)MRI, spinal diffusion-weighted MRI (DWI) and had genetic analysis were retrospectively included (2011–2020/Ghent University Hospital/Belgium). Patients were stratified into standard versus intermediate/high cytogenetic risk groups. After segmentation, 303 MRI features were extracted. Univariate and model-based methods were evaluated for feature and model selection. Testing was performed using receiver operating characteristic (ROC) and precision-recall curves. Models comparing the performance for genetic risk classification of the entire MRI protocol and of all MRI sequences separately were evaluated, including all features. Four final models, including only the top three most predictive features, were evaluated.ResultsThirty-one patients were enrolled (mean age 66 ± 7 years, 15 men, 13 intermediate-/high-risk genetics). None of the univariate models and none of the models with all features included achieved good performance. The best performing model with only the three most predictive features and including all MRI sequences reached a ROC-area-under-the-curve of 0.80 and precision-recall-area-under-the-curve of 0.79. The highest statistical performance was reached when all three MRI sequences were combined (conventional whole-body MRI + DCE-MRI + DWI). Conventional MRI always outperformed the other sequences. DCE-MRI always outperformed DWI, except for specificity.ConclusionsA multiparametric MRI-based model has a better performance in the noninvasive prediction of high-risk cytogenetics in newly diagnosed MM than conventional MRI alone.Critical relevance statementAn elaborate multiparametric MRI-based model performs better than conventional MRI alone for the noninvasive prediction of high-risk cytogenetics in newly diagnosed multiple myeloma; this opens opportunities to assess genetic heterogeneity thus overcoming sampling bias.Key points• Standard genetic techniques in multiple myeloma patients suffer from sampling bias due to tumoral heterogeneity.• Multiparametric MRI noninvasively predicts genetic risk in multiple myeloma.• Combined conventional anatomical MRI, DCE-MRI, and DWI had the highest statistical performance to predict genetic risk.• Conventional MRI alone always outperformed DCE-MRI and DWI separately to predict genetic risk. DCE-MRI alone always outperformed DWI separately, except for the parameter specificity to predict genetic risk.• This multiparametric MRI-based genetic risk prediction model opens opportunities to noninvasively assess genetic heterogeneity thereby overcoming sampling bias in predicting genetic risk in multiple myeloma.Graphical

Abstract 3619: Post CAR-T lymphocytosis as a surrogate of BCMA CAR-T expansion, response, and prognosis in multiple myeloma

Abstract Introduction: Expansion of chimeric receptor antibody (CAR)-T cells after infusion has been described as important marker in multiple myeloma (MM); however, the phenomenon of overt lymphocytosis has not been reported. We describe the kinetics of absolute lymphocyte count (ALC) after BCMA CAR-T in MM as a marker of depth of response and progression-free survival (PFS). Methods: 158 patients (pts) were included (93 pts ciltacabtagene autoleucel (cilta-cel) and 65 pts idecabtagene vicleucel (ide-cel) from three institutions. Baseline characteristics, cytokine release syndrome (CRS), immune effector cell-associated neurotoxicity syndrome (ICANS), ALC on day -5 through 14, and outcomes were collected. A cohort of 84 pts who received CD19 CAR-T for non-Hodgkin lymphoma (NHL) as comparator. Peripheral blood (PB) flow cytometry was performed on days 7, 14 and 21 in 4 patients. Results: Early ALC increase after BCMA CAR-T was frequent, with a median max ALC 1.3 × 103/uL (IQR 1-4.4) from a median baseline of 0. However, when compared to ide-cel, cilta-cel had a higher median Max ALC (2 × 103/uL (1 - 4.4) vs 0.8 (0.7 - 2.8), p &amp;lt; 0.001), longer time-to-max ALC (11 vs 12 days, p = 0.003), and higher absolute ALC increase (2.1 × 103/uL vs 0.7 × 103/uL, p &amp;lt;0.001), while there were no differences in ALC before lymphodepleting conditioning or day 0. Higher max ALC was associated with CRS (OR 4.8, CI 1.3-17.2, p 0.01). Max ALC and absolute increase in ALC were significantly associated with deeper response (VGPR vs PR or less), improved PFS and duration of response (DoR) in univariable analysis. Max ALC &amp;gt;1 × 103/uL (HR 0.4, 0.2-0.7, p &amp;lt;0.001) and non-paraskeletal EMD (HR 2.1, 1.2-.4, p &amp;lt;0.01) remained associated with PFS/DoR in multivariable model after adjusting for CAR-T Product, high-risk cytogenetics, and number of previous lines. PB flow cytometry in 3 responder patients (max ALC range 2-14 × 103) showed expansion of CD3+ BCMA CAR-T from day 7 (BCMA CAR-T &amp;lt;0.2% of CD3+ cells) to day 14 (BCMA CAR-T range 54-88.6%), while a non-responder (max ALC 0.4 × 103) patient had no expansion despite presence of CD3+ BCMA CAR-T at day 7, 14 and 21. BCMA CAR-T had higher max ALC when compared to CD19 CAR-T (median 1.3 × 103 vs 0.4 × 103 (0.2-0.7), p &amp;lt; 0.001), while there were no differences in baseline ALC between BCMA and CD19 CAR-T. Median max ALC did not differ between response status after CD19 CAR-T (0.4 × 103 (0.2-0.7) vs 0.6 (0.3-0.7), p = 0.3). Discussion: Post-CAR-T lymphocytosis is common after BCMA CAR-T therapy for MM and is associated with response, PFS, and DoR after adjusting for other prognostic variables. A cut-off of max ALC &amp;gt; 1 × 103 identified patients with superior PFS, while max ALC &amp;lt;0.5 × 103 represents high-rates of poor response and early progression. ALC expansion correlated with BCMA CAR-T expansion as assessed by flowcytometry, supporting ALC assessment as an accessible surrogate that is clinically applicable and accessible. Citation Format: Mateo Mejia Saldarriaga, Darren Pan, Caitlin Unkenholz, Tarek Mouhieddine, Josh Fein, Jorge Monge, Cara Rosenbaum, Roger Pearse, David Jayabalan, Christian Gordillo, Hei Ton Chan, Markus Mapara, Giorgio Inghirami, Suzanne Lentzsch, Ren Reshef, Adriana Rossi, Samir Parekh, Sundar Jagannath, Shambavi Richards, Ruben Niesvizky, Mark Bustoros. Post CAR-T lymphocytosis as a surrogate of BCMA CAR-T expansion, response, and prognosis in multiple myeloma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3619.

Abstract 6157: Population-specific 5-hydroxymethylcytosine signatures in circulating cell-free DNA and overall survival among Blacks and Whites with multiple myeloma

Abstract Background: Epigenetic modifications play important roles in the prognosis of multiple myeloma (MM). To date, DNA methylation (i.e., 5-methylcytosine) is the most extensively studied cytosine modification. Emerging evidence suggests that 5-hydroxymethylcytosine (5hmC), a product of 5mC through demethylation, in circulating cell-free DNA (cfDNA) is associated with the overall survival (OS) of MM. We also showed that African Americans (AAs) and European Americans (EAs) with MM have distinct genome-wide 5hmC profiles. However, no study has evaluated whether the association between 5hmC profiles and OS in MM differs between EAs and AAs. Methods: A total of 586 newly diagnosed patients with MM at the University of Chicago Medical Center were prospectively enrolled between 2010-2019. The current study profiled genome-wide 5hmC in plasma-derived cfDNA for 303 patients using the 5hmC-Seal and next-generation sequencing. Data cutoff was February 28, 2022. Vital status was ascertained using the National Death Index. OS was defined as the time from diagnosis until death from any cause. The 5hmC-Seal data were mapped to the human genome reference (hg19) and annotated to gene bodies. In each population, patients were randomly divided into a training set (EAs, n=147; AAs, n=64) and a testing set (EAs, n=64; AAs, n=28). After selecting the top 10% candidate genes associated with OS in age-adjusted univariate Cox proportional hazards model, we applied multivariable Cox models with elastic net regularization for feature selection through leave-one-out cross-validation. The optimal “alpha” and “lambda” were evaluated to maximize model performance measured by the Harrell’s Concordance Index. The differential 5hmC enrichment levels of selected genes were used to compute a weighted prognostic score (wp-score). The associations between the wp-scores and OS were evaluated in the testing sets, adjusting for established prognostic factors (e.g., age, stage). Results: Of the 303 MM patients, 94 (30.92%) were AA and 210 (69.08%) were EA. The median follow-up was 108 months. Our preliminary analyses identified 26 and 10 5hmC marker genes associated with OS in EAs and AAs, respectively. Importantly, none of these genes overlap between the two groups. We used these genes to compute wp-scores in EAs and AAs. In the training sets, patients with a higher wp-score had worse OS. The same trend was observed in the testing sets: hazard ratios (HR) in EAs: 1.31, 95% CI: (0.83, 2.06) and HR in AA: 11.94, 95% CI: (1.88, 75.68) after controlling for established prognostic factors. Conclusions: Our findings suggest that different epigenetic modifications in cfDNA might be associated with OS between EAs and AAs with MM and the 5hmC marker gene-based wp-scores are independent prognostic factors for MM. Citation Format: Bei Wang, Zhou Zhang, Benjamin Derman, Krissana Kowitwanich, Jason Cheung, Andrezej Jakubowiak, Chuan He, Wei Zhang, Brian Chiu. Population-specific 5-hydroxymethylcytosine signatures in circulating cell-free DNA and overall survival among Blacks and Whites with multiple myeloma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6157.

Construction and validation of an 18F-FDG-PET/CT-based prognostic model to predict progression-free survival in newly diagnosed multiple myeloma patients

ABSTRACT Objective: To investigate the relationship between 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) related parameters and the prognosis of multiple myeloma and to establish and validate a prediction model regarding the progression-free survival (PFS) of multiple myeloma. Methods: A retrospective analysis of 126 newly diagnosed multiple myeloma patients who attended Nanjing Drum Tower Hospital from 2014–2021. All patients underwent PET/CT before treatment and were divided into a training cohort (n = 75) and a validation cohort (n = 51). Multivariate Cox proportional hazard regression analysis incorporated PET/CT-related parameters and clinical indicators. A nomogram was established to individually predict PFS in MM patients. The model was evaluated by calculating the C-index and calibration curve. Results: Here, 4.2 was used as the cut-off value of SUVmax to divide patients into high and low groups. PFS significantly differed between patients in the high-SUVmax group and low-SUVmax group, and SUVmax was an independent predictor of PFS in newly diagnosed multiple myeloma (NDMM) patients. Univariate and multivariate cox regression analysis suggested that lactate dehydrogenase (LDH), bone marrow plasma cell (BMPC), and SUVmax affected PFS. These factors were incorporated to construct a nomogram model for predicting PFS at 1 and 2 years in NDMM patients. The C-index and calibration curves of the nomogram exhibited good accuracy and consistency, and the DCA curves suggested that the model had good clinical utility. Conclusion: The PET/CT parameter SUVmax is closely related to the prognosis of myeloma patients. The nomogram constructed in this study based on PET/CT-related parameters and clinical indicators individually predicts the PFS rate of NDMM patients and enables further risk stratification of NDMM patients.

The role of pentraxin 3 and oxidative status in the prognosis of multiple myeloma.

Multiple myeloma (MM) is a bone marrow malignancy characterized by plasma cell proliferation. It was aimed to investigate pentraxin 3 (PTX3) levels, oxidative/antioxidative status, and their correlation in MM. In the study, four groups were established, including newly diagnosed MM (NDMM), MM in remission (Rem-MM), relapsed/refractory MM (RRMM) patients, and a healthy control group. PTX3 levels were measured using enzyme-linked immunosorbent assay, and the total antioxidant status (TAS) and total oxidant status (TOS) were assessed with an autoanalyzer. The oxidative stress index (OSI) was calculated using the formula: OSI (arbitrary unit) = TOS (µmol H2O2 Eq/L)/TAS (mmol Trolox Eq/L) × 100. The study involved comparing PTX3, TAS, TOS, and OSI levels among these four groups. PTX3 levels were significantly elevated in NDMM and RRMM groups compared to controls and the Rem-MM group (NDMM vs control; p < 0.001, NDMM vs Rem-MM; p < 0.001, RRMM vs control; p < 0.001, and RRMM vs Rem-MM; p = 0.006). TAS was higher in NDMM and RRMM groups versus controls (p = 0.009 and p < 0.001, respectively), and TOS was higher in rem-MM group versus NDMM and control groups (p < 0.001 and p = 0.016, respectively). OSI was higher in the Rem-MM group than in NDMM and RRMM groups (p < 0.001 and p = 0.009, respectively). Multivariate analysis confirmed associations between MM groups and PTX3 levels. Receiver operating characteristic analysis revealed high specificity (90%) and sensitivity (79%) for PTX3 in NDMM at a >0.56 ng/mL cut-off value. This study suggests that PTX3 levels may have diagnostic and prognostic potential in MM and its relationship with oxidative stress requires further exploration.

Role of Non-Coding RNAs in Diagnosis, Prediction and Prognosis of Multiple Myeloma.

Multiple myeloma (MM) is the second most common hematologic malignancy in the world and accounts for 15% of primary hemocytopathies, with an ever-increasing number of new cases. It is asymptomatic in 30% of instances; hence, the determination of highly sensitive and specific markers is necessary to make a proper diagnosis. In the last 20 years, miRNAs, involved in regulating the expression of genes responsible for cell proliferation and differentiation, including tumor cells, have been identified as potential diagnostic and prognostic markers. The main aim of the following review was to outline the role of miRNAs in the diagnosis and prognosis of MM, considering their role in the pathogenesis of the disease and identifying their target genes and pathways. For this purpose, publications dating from 2013-2023 have been reviewed. Based on the available data, it is concluded that non-coding RNAs including miRNAs could be potential markers in MM. Furthermore, they may serve as therapeutic targets for certain drugs.

Quantitative risk factor analysis of prior disease condition and socioeconomic status with the multiple myeloma development: nationwide cohort study

Early diagnosis and following management are important determinants of the prognosis of multiple myeloma (MM). However, screening for MM is not routinely performed because it is rare disease. In this study, we evaluated the association of prior disease condition and socioeconomic status (SES) with MM diagnosis and developed a simple predictive model that can identify patients at high risk of developing MM who may need screening using nationwide database from South Korea. According to multivariate logistic regression analysis, eight prior disease conditions and SES before diagnosis were shown to be predictors of MM development and selected for score development. Total prediction scores were categorized into four groups: patients without any risk (≤ 0) intermediate-1 (0.5–9), intermediate-2 (9–14), and high risk (> 14). The odds ratios for developing MM in the intermediate-1, intermediate-2, and high-risk groups were 1.29, 3.07, and 4.62, respectively. The association of prior disease conditions and SES with MM diagnosis were demonstrated and the simple scoring system to predict the MM risk was developed. This scoring system is also provided by web-based application and could be a useful tool to support clinicians in identifying potential candidates for MM screening.

Natural killer cells affect the natural course, drug resistance, and prognosis of multiple myeloma.

Multiple myeloma (MM), a stage-developed plasma cell malignancy, evolves from monoclonal gammopathy of undetermined significance (MGUS) or smoldering MM (SMM). Emerging therapies including immunomodulatory drugs, proteasome inhibitors, monoclonal antibodies, chimeric antigen-T/natural killer (NK) cells, bispecific T-cell engagers, selective inhibitors of nuclear export, and small-molecule targeted therapy have considerably improved patient survival. However, MM remains incurable owing to inevitable drug resistance and post-relapse rapid progression. NK cells with germline-encoded receptors are involved in the natural evolution of MGUS/SMM to active MM. NK cells actively recognize aberrant plasma cells undergoing malignant transformation but are yet to proliferate during the elimination phase, a process that has not been revealed in the immune editing theory. They are potential effector cells that have been neglected in the therapeutic process. Herein, we characterized changes in NK cells regarding disease evolution and elucidated its role in the early clinical monitoring of MM. Additionally, we systematically explored dynamic changes in NK cells from treated patients who are in remission or relapse to explore future combination therapy strategies to overcome drug resistance.

ARK5 enhances cell survival associated with mitochondrial morphological dynamics from fusion to fission in human multiple myeloma cells

5′ adenosine monophosphate–activated protein kinase–related kinase 5 (ARK5) is involved in mitochondrial ATP production and associated with poor prognosis of multiple myeloma (MM). However, the molecular mechanisms of ARK5 in MM remain largely unknown. This study examined the pathogenic role of ARK5 in mitochondria by using genetically modified isogenic cell clones with or without ARK5 in human myeloma cell lines, KMS-11 and Sachi, which overexpress ARK5. The biallelic knockout of ARK5 (ARK5-KO) inhibited cell proliferation, colony formation, and migration with increased apoptosis. Mitochondrial fusion was enhanced in ARK5-KO cells, unlike in ARK5 wild-type (ARK5-WT) cells, which exhibited increased mitochondrial fission. Furthermore, ARK5-KO cells demonstrated a lower phosphorylated dynamin–related protein 1 at serine 616, higher protein expression of mitofusin-1 (MFN1) and MFN2, optic atrophy 1 with a lower level of ATP, and higher levels of lactate and reactive oxygen species than ARK5-WT cells. Our findings suggest that ARK5-enhanced myeloma cells can survive associated mitochondrial fission and activity. This study first revealed the relationship between ARK5 and mitochondrial morphological dynamics. Thus, our outcomes show novel aspects of mitochondrial biology of ARK5, which can afford a more advanced treatment approach for unfavorable MM expressing ARK5.

Genomic Classification and Individualized Prognosis in Multiple Myeloma.

Outcomes for patients with newly diagnosed multiple myeloma (NDMM) are heterogenous, with overall survival (OS) ranging from months to over 10 years. To decipher and predict the molecular and clinical heterogeneity of NDMM, we assembled a series of 1,933 patients with available clinical, genomic, and therapeutic data. Leveraging a comprehensive catalog of genomic drivers, we identified 12 groups, expanding on previous gene expression-based molecular classifications. To build a model predicting individualized risk in NDMM (IRMMa), we integrated clinical, genomic, and treatment variables. To correct for time-dependent variables, including high-dose melphalan followed by autologous stem-cell transplantation (HDM-ASCT), and maintenance therapy, a multi-state model was designed. The IRMMa model accuracy was significantly higher than all comparator prognostic models, with a c-index for OS of 0.726, compared with International Staging System (ISS; 0.61), revised-ISS (0.572), and R2-ISS (0.625). Integral to model accuracy was 20 genomic features, including 1q21 gain/amp, del 1p, TP53 loss, NSD2 translocations, APOBEC mutational signatures, and copy-number signatures (reflecting the complex structural variant chromothripsis). IRMMa accuracy and superiority compared with other prognostic models were validated on 256 patients enrolled in the GMMG-HD6 (ClinicalTrials.gov identifier: NCT02495922) clinical trial. Individualized patient risks were significantly affected across the 12 genomic groups by different treatment strategies (ie, treatment variance), which was used to identify patients for whom HDM-ASCT is particularly effective versus patients for whom the impact is limited. Integrating clinical, demographic, genomic, and therapeutic data, to our knowledge, we have developed the first individualized risk-prediction model enabling personally tailored therapeutic decisions for patients with NDMM.