miRNA-seq identification and clinical validation of CD138+ and circulating miR-25 in treatment response of multiple myeloma

Impact of myosteatosis on prognosis in multiple myeloma patients: A subgroup analysis of 182 cases and development of a nomogram

Background

This study aims to explore the prognostic value of myosteatosis in multiple myeloma (MM) and to analyze the factors influencing myosteatosis.

Methods

A retrospective analysis was conducted on 182 patients treated for MM at our institution from 2009 to 2020 who underwent MRI examinations. The fatty infiltration rate (FIR) of the erector spinae and multifidus muscles at the L3 level was measured to assess the degree of myosteatosis. Patients were grouped based on fracture presence and median FIR, and group differences were compared, with P < 0.05 considered statistically significant. Survival and fractures were used as prognostic indicators, and regression analysis was performed to determine the impact of FIR on these outcomes in MM patients. The factors influencing FIR were analyzed, and the relationship between myosteatosis and MM prognosis was further analyzed within its sensitive subgroups. Finally, a nomogram based on FIR was established and validated.

Results

Significant differences were observed between the fracture and non-fracture groups in lactate dehydrogenase, serum phosphorus, visual analogue scale, oswestry disability index and FIR (P < 0.05). When patients were grouped based on the median FIR (28.89 %), there were significant differences in age, sex, body mass index (BMI), red blood cell (RBC) count, hemoglobin, hematocrit, albumin, visual analogue scale, oswestry disability index, and fracture incidence (P < 0.05). Univariate COX regression analysis indicated that myosteatosis had no significant impact on survival prognosis in MM patients (HR = 0.999, P = 0.852), with a log-rank test P value of 0.11 when grouped by the cut-off FIR value of 33.67 %. Multivariate logistic regression indicated that FIR is an independent predictor of fractures (OR = 1.054, P = 0.000). Multivariate linear regression revealed that age, sex, RBC count, and BMI are independent factors influencing FIR (P < 0.05). When not grouped, FIR's prediction of fractures showed no significant interaction with age, sex, RBC count, or BMI (P for interaction > 0.05). In subgroups with BMI ≥ 25 kg/m2 or RBC count > 3.68 × 10^12/L, FIR lost its predictive significance for fractures. The FIR nomogram model had a C-index of 0.777, and the calibration curve, decision curve analysis, and clinical impact curve all validated its effectiveness.

Conclusions

Myosteatosis characterized by FIR is not a reliable predictor of survival in MM patients but is effective in predicting fractures and is closely related to back pain and functional impairment. FIR is significantly associated with age, sex, RBC count, and BMI.

Refining precision prognostics in multiple myeloma: loss of miR-221/222 cluster in CD138+ plasma cells results in short-term progression and worse treatment outcome

The persistence of high relapse rates and therapy resistance continues to challenge the effective management of multiple myeloma (MM). The identification of novel MM-specific molecular markers could ameliorate risk-stratification tools and accurately identify high-risk patients towards personalized prognosis and therapy. miRNA-seq analysis of CD138+ plasma cells (n = 24) unveiled miR-221-3p and miR-222-3p (miR-221/222 cluster) as the most downregulated miRNAs in R-ISS III compared to R-ISS I/II patients. Subsequently, miR-221/222 levels were quantified by RT-qPCR in CD138+ plasma cells of our screening cohort (n = 141), assessing patients' mortality and disease progression as clinical endpoints. Internal validation was performed by bootstrap analysis, while clinical benefit was estimated by decision curve analysis. Kryukov et al. (n = 149) and Aass et al. (n = 86) served as institutional-independent validation cohorts. Loss of miR-221/222 cluster was strongly associated with patients' short-term progression and poor overall survival, which was confirmed by Kryukov et al. and Aass et al. validation cohorts. Intriguingly, miR-221/222-fitted multivariate models offered superior risk-stratification within R-ISS staging and risk-based cytogenetics. Moreover, miR-221/222 loss could effectively discriminate optimal 1st-line treatment responders with inferior treatment outcome. Our study identified the loss of miR-221/222 cluster as a powerful independent predictor of patients' post-treatment progression, ameliorating prognosis and supporting precision medicine in MM.

Detection of early relapse in multiple myeloma patients

BACKGROUND

Multiple myeloma (MM) represents the second most common hematological malignancy characterized by the infiltration of the bone marrow by plasma cells that produce monoclonal immunoglobulin. While the quality and length of life of MM patients have significantly increased, MM remains a hard-to-treat disease; almost all patients relapse. As MM is highly heterogenous, patients relapse at different times. It is currently not possible to predict when relapse will occur; numerous studies investigating the dysregulation of non-coding RNA molecules in cancer suggest that microRNAs could be good markers of relapse.

RESULTS

Using small RNA sequencing, we profiled microRNA expression in peripheral blood in three groups of MM patients who relapsed at different intervals. In total, 24 microRNAs were significantly dysregulated among analyzed subgroups. Independent validation by RT-qPCR confirmed changed levels of miR-598-3p in MM patients with different times to relapse. At the same time, differences in the mass spectra between groups were identified using matrix-assisted laser desorption/ionization time of flight mass spectrometry. All results were analyzed by machine learning.

CONCLUSION

Mass spectrometry coupled with machine learning shows potential as a reliable, rapid, and cost-effective preliminary screening technique to supplement current diagnostics.

Identification of Oncogene-Induced Senescence-Associated MicroRNAs

Cellular senescence, a state of permanent cell cycle arrest, recapitulates the aging process at the cellular level. It can be triggered by intrinsic or extrinsic factors including telomere shortening (replicative senescence) and in response to various types of stresses such as oncogenic stress (oncogene-induced senescence, OIS). Senescence has been detected in vitro and in premalignant lesions in mice and humans expressing mutant oncogenes. MicroRNAs (miRNAs) are short noncoding RNAs that regulate gene expression at the posttranscriptional level, and have been involved in both replicative senescence and OIS. Several methods have been used to identify miRNAs and compare their expression in normal versus oncogene-induced senescent cells, as well as to analyze their role and their targets in senescence. Here, we describe several methods that can be employed to identify miRNAs in cells undergoing OIS, including miRNA-sequencing, RT-qPCR-based detection and quantification of miRNAs and Nanostring miRNA analysis (nCounter miRNA Expression Assay). Moreover, we perform a meta-analysis of studies employing the above methodologies, pinpoint miRNAs with consistent expression changes across senescence models, and predict their target genes and the pathways in which they partake.

Small RNA-seq and clinical evaluation of tRNA-derived fragments in multiple myeloma: Loss of mitochondrial i-tRFHisGTG results in patients' poor treatment outcome

Despite the substantial progress in multiple myeloma (MM) therapy nowadays, treatment resistance and disease relapse remain major clinical hindrances. Herein, we have investigated tRNA-derived fragment (tRF) profiles in MM and precursor stages (smoldering MM/sMM; monoclonal gammopathy of undetermined significance/MGUS), aiming to unveil potential MM-related tRFs in ameliorating MM prognosis and risk stratification. Small RNA-seq was performed to profile tRFs in bone marrow CD138+ plasma cells, revealing the significant deregulation of the mitochondrial internal tRFHisGTG (mt-i-tRFHisGTG) in MM versus sMM/MGUS. The screening cohort of the study consisted of 147 MM patients, and mt-i-tRFHisGTG levels were quantified by RT-qPCR. Disease progression was assessed as clinical end-point for survival analysis, while internal validation was performed by bootstrap and decision curve analyses. Screening cohort analysis highlighted the potent association of reduced mt-i-tRFHisGTG levels with patients' bone disease (p = 0.010), osteolysis (p = 0.023) and with significantly higher risk for short-term disease progression following first-line chemotherapy, independently of patients' clinical data (HR = 1.954; p = 0.036). Additionally, mt-i-tRFHisGTG-fitted multivariate models led to superior risk stratification of MM patients' treatment outcome and prognosis compared to disease-established markers. Notably, our study highlighted mt-i-tRFHisGTG loss as a powerful independent indicator of post-treatment progression of MM patients, leading to superior risk stratification of patients' treatment outcome.

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.