Immunological Prognostic Factors in Multiple Myeloma.
Ontology highlight
ABSTRACT:
SUBMITTER: Bebnowska D
PROVIDER: S-EPMC8036885 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Multiple Myeloma (MM) is a systemic hematologic disease due to uncontrolled proliferation of monoclonal plasma cells (PC) in bone marrow (BM). Emerging in other solid and liquid cancers, the host immune system and the microenvironment have a pivotal role for PC growth, proliferation, survival, migration, and resistance to drugs and are responsible for some clinical manifestations of MM. In MM, microenvironment is represented by the cellular component of a normal bone marrow together with extracellular matrix proteins, adhesion molecules, cytokines, and growth factors produced by both stromal cells and PC themselves. All these components are able to protect PC from cytotoxic effect of chemo- and radiotherapy. This review is focused on the role of immunome to sustain MM progression, the emerging role of myeloid derived suppressor cells, and their potential clinical implications as novel therapeutic target.
| S-EPMC4071780 | biostudies-literature
Project description:The prognosis of multiple myeloma has considerably improved due to the introduction of novel agents in the upfront setting. However, the great majority of patients ultimately relapse, and choosing a salvage treatment at first relapse remains challenging. The natural history of first relapsed disease in the current era is also not well described. We retrospectively studied 300 patients with first relapsed myeloma seen between 2004 and 2019 from two institutes in Singapore. The median duration from diagnosis to first relapse was 22.7 months (1.1-97.0 months). Most patients received novel agent-based induction therapy, and 41.3% underwent autologous stem cell transplant. A very good partial response (VGPR) or better was achieved in 48.6%. Regarding first relapse, 50.5% were symptomatic and 19.0% received newer agent-containing regimens. Nearly a third of patients (31.7%) had a VGPR or better response. The median progression free and overall survival from first relapse was 12.0 and 44.8 months, respectively. Based on a randomized sample splitting, we first identified non-hyperdiploid karyotype at diagnosis, clinical relapse, and treatment sequence as impacting survival independently from a testing cohort, and we then further demonstrated their significance in a validation cohort. This study provides a real-world picture of first relapsed myeloma and highlights the prognostic importance of the treatment sequence.
| S-EPMC7409309 | biostudies-literature
Project description:Overall survival estimates from diagnosis are valuable for guiding treatment, but do not consider the years already survived. Conditional survival (CS) provides dynamic survival predictions over time. This study was conducted to estimate CS at 1-8 years from diagnosis and the impact of baseline prognostic factors on CS in multiple myeloma (MM) patients. This is a retrospective study including 2556 MM patients diagnosed between 2004 and 2019. CS (t | s) was defined as the probability of surviving t years given survival of s years. Median age was 64 years. Median follow-up was 6.2 years and median overall survival from diagnosis was 7.5 years. The 5-year CS estimates at s = 0, 1, 2, 3, and 5 years were 0.64, 0.61, 0.61, 0.61, and 0.58, respectively. On multivariate analysis, age ≥ 65 and proteasome inhibitor+immunomodulatory-based induction were associated with decreased survival and increased survival, respectively, retained at 5 years. The adverse impact of 1q gain/amplification, high-risk IgH translocation, and ISS-3 was significant at 1 and 3 years but not 5 years. Chromosome 17 abnormality was associated with decreased survival only at 1 year. Among MM patients, 5-year CS was stable at 1-5 years from diagnosis. The prognostic impact of high-risk cytogenetic factors decreased with additional years survived.
| S-EPMC10185675 | biostudies-literature
Project description:Multiple myeloma (MM) is a hematologic malignancy characterized by the proliferation of clonal plasma cells in the bone marrow (BM). It is known that early genetic mutations in post-germinal center B/plasma cells are the cause of myelomagenesis. The acquisition of additional chromosomal abnormalities and distinct mutations further promote the outgrowth of malignant plasma cell populations that are resistant to conventional treatments, finally resulting in relapsed and therapy-refractory terminal stages of MM. In addition, myeloma cells are supported by autocrine signaling pathways and the tumor microenvironment (TME), which consists of diverse cell types such as stromal cells, immune cells, and components of the extracellular matrix. The TME provides essential signals and stimuli that induce proliferation and/or prevent apoptosis. In particular, the molecular pathways by which MM cells interact with the TME are crucial for the development of MM. To generate successful therapies and prevent MM recurrence, a thorough understanding of the molecular mechanisms that drive MM progression and therapy resistance is essential. In this review, we summarize key mechanisms that promote myelomagenesis and drive the clonal expansion in the course of MM progression such as autocrine signaling cascades, as well as direct and indirect interactions between the TME and malignant plasma cells. In addition, we highlight drug-resistance mechanisms and emerging therapies that are currently tested in clinical trials to overcome therapy-refractory MM stages.
| S-EPMC10516567 | biostudies-literature
Project description:New approaches to stratify multiple myeloma patients based on prognosis and therapeutic decision-making, or prediction, are needed since patients are currently managed in a similar manner regardless of individual risk factors or disease characteristics. However, despite new and improved biomarkers for determining the prognosis of patients, there is currently insufficient information to utilise biomarkers to intensify, reduce or altogether change treatment, nor to target patient-specific biology in a so-called predictive manner. The ever-increasing number and complexity of drug classes to treat multiple myeloma have improved response rates and so clinically useful biomarkers will need to be relevant in the era of such novel therapies. Therefore, the field of multiple myeloma biomarker development is rapidly progressing, spurred on by new technologies and therapeutic approaches, and underpinned by a deeper understanding of tumour biology with individualised patient management the goal. In this review, we describe the main biomarker categories in multiple myeloma and relate these to diagnostic, prognostic and predictive applications.
| S-EPMC8461914 | biostudies-literature
Project description:Chromosomal abnormalities, especially t(4;14) and del(17p), are major prognostic factors in patients with multiple myeloma (MM). However, this has been especially demonstrated in patients age < 66 years treated with intensive approaches. The goal of this study was to address this issue in elderly patients treated with conventional-dose chemotherapy.To answer this important question, we retrospectively analyzed a series of 1,890 patients (median age, 72 years; range, 66 to 94 years), including 1,095 with updated data on treatment modalities and survival.This large study first showed that the incidence of t(4;14) was not uniform over age, with a marked decrease in the oldest patients. Second, it showed that both t(4;14) and del(17p) retained their prognostic value in elderly patients treated with melphalan and prednisone-based chemotherapy.t(4;14) and del(17p) are major prognostic factors in elderly patients with MM, both for progression-free and overall survival, indicating that these two abnormalities should be investigated at diagnosis of MM, regardless of age.
| S-EPMC3718879 | biostudies-other
Project description:Purpose Chromosomal aberrations are a hallmark of multiple myeloma but their global prognostic impact is largely unknown. Methods We performed a genome-wide analysis of malignant plasma cells from 192 newly myeloma patients using high-density, single-nucleotide polymorphism (SNP) arrays to identify genetic lesions associated with prognosis. Results Our analyses revealed deletions and amplifications in 98% of cases. Amplifications in 1q and deletions in 1p, 12p, 14q, 16q, and 22q were the most frequent lesions associated with adverse prognosis while recurrent amplifications of chromosomes 5, 9, 11, 15 and 19 conferred a favorable prognosis. Multivariate analysis retained three independent lesions: amp(1q23.3), amp(5q31.3) and del(12p13.31). When adjusted to the established prognostic variables ie t(4;14), and serum beta2-microglobulin (Sb2M), del(12p13.31) remained the most powerful independent marker (P <.0001; hazard ratio = 3.17) followed by Sb2M (P <.0001; hazard ratio = 2.78) and amp(5q31.3) (P =.0005; hazard ratio = 0.37). Cases with amp(5q31.3) alone and low Sb2M had an excellent prognosis (5-year overall survival = 87%) conversely cases with del(12p13.31) alone or amp(5q31.3) and del(12p13.31) and high Sb2M had a very poor outcome (5-year overall survival = 20%). Moreover, integration of SNP mapping and gene expression identified CD27 as potential critical gene responsible for poor prognosis of del(12p) myeloma patients. Conclusion These findings demonstrate the power and accessibility of molecular karyotyping to identify novel strong independent prognostic markers: amp(5q31.3) and del(12p13.31) and to provide insights into putative pathways deregulated in sub classes of cancer patients. Keywords: Human chromosome copy-number alterations study 192 myeloma patients at diagnosis examined with 500K Set Affymetrix chips
2009-08-19 | E-GEOD-12896 | biostudies-arrayexpress
Project description:Purpose Chromosomal aberrations are a hallmark of multiple myeloma but their global prognostic impact is largely unknown. Methods We performed a genome-wide analysis of malignant plasma cells from 192 newly myeloma patients using high-density, single-nucleotide polymorphism (SNP) arrays to identify genetic lesions associated with prognosis. Results Our analyses revealed deletions and amplifications in 98% of cases. Amplifications in 1q and deletions in 1p, 12p, 14q, 16q, and 22q were the most frequent lesions associated with adverse prognosis while recurrent amplifications of chromosomes 5, 9, 11, 15 and 19 conferred a favorable prognosis. Multivariate analysis retained three independent lesions: amp(1q23.3), amp(5q31.3) and del(12p13.31). When adjusted to the established prognostic variables ie t(4;14), and serum beta2-microglobulin (Sb2M), del(12p13.31) remained the most powerful independent marker (P <.0001; hazard ratio = 3.17) followed by Sb2M (P <.0001; hazard ratio = 2.78) and amp(5q31.3) (P =.0005; hazard ratio = 0.37). Cases with amp(5q31.3) alone and low Sb2M had an excellent prognosis (5-year overall survival = 87%) conversely cases with del(12p13.31) alone or amp(5q31.3) and del(12p13.31) and high Sb2M had a very poor outcome (5-year overall survival = 20%). Moreover, integration of SNP mapping and gene expression identified CD27 as potential critical gene responsible for poor prognosis of del(12p) myeloma patients. Conclusion These findings demonstrate the power and accessibility of molecular karyotyping to identify novel strong independent prognostic markers: amp(5q31.3) and del(12p13.31) and to provide insights into putative pathways deregulated in sub classes of cancer patients. Keywords: Human chromosome copy-number alterations study
2009-08-20 | GSE12896 | GEO
Project description:Improving the immunological environment and eradicating minimal residual disease (MRD) are the two main treatment goals for long-term survival in patients with multiple myeloma (MM). Immunomodulatory drugs (IMiDs), monoclonal antibody drugs (MoAbs), and autologous grafts for autologous stem cell transplantation (ASCT) can improve the immunological microenvironment. ASCT, MoAbs, and proteasome inhibitors (PIs) may be important for the achievement of MRD negativity. An improved immunological environment may be useful for maintaining MRD negativity, although the specific treatment for persistent MRD negativity is unknown. However, whether the ongoing treatment should be continued or changed if the MRD status remains positive is controversial. In this case, genetic, immunophenotypic, and clinical analysis of residual myeloma cells may be necessary to select the effective treatment for the residual myeloma cells. The purpose of this review is to discuss the MM treatment strategy to "cure MM" based on currently available therapies, including IMiDs, PIs, MoAbs, and ASCT, and expected immunotherapies, such as chimeric antigen receptor T cell (CAR-T) therapy, via improvement of the immunological environment and maintenance of MRD negativity.
| S-EPMC8508145 | biostudies-literature
Project description:Background: Multiple myeloma (MM) is one of the most common incurable malignancies in malignant plasma cell disease. EPB41L4A is a target gene for the Wnt/?-catenin pathway, which is closely related to the survival of multiple myeloma cells. However, there is currently no research report on the prognostic significance of the EPB41L4A gene in MM. Methods: We studied the biological significance and prognostic significance of EPB41L4A expression in MM by integrating 1956 MM samples from 7 datasets, and explored the relationship between EPB41L4A expression and MM ISS stage, molecular type, therapeutic response and survival. Results: We found that the expression level of EPB41L4A is inversely proportional to the copy number of 1q21 (P = 3.4e-13). EPB41L4A was low expressed in MAF, MMSET and proliferating molecular typing patients (P <= 0.001). High expression of EPB41L4A can predict good survival in MM (EFS: P < 0.0001; OS: P < 0.0001). We found that patients with relapsed MM had lower expression levels of EPB41L4A than those without recurrence (P = 0.0039). We also found that EPB41L4A can predict the prognosis of MM patients may be related to DNA replication. These results indicate that the initial expression level of EPB41L4A can predict the prognosis of MM patients. Conclusions: We found that the high expression of EPB41L4A predicts good survival level in MM.
| S-EPMC6959044 | biostudies-literature