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Nature Reviews. Disease Primers Jun 2024Multiple myeloma (MM) is a haematological lymphoid malignancy involving tumoural plasma cells and is usually characterized by the presence of a monoclonal immunoglobulin... (Review)
Review
Multiple myeloma (MM) is a haematological lymphoid malignancy involving tumoural plasma cells and is usually characterized by the presence of a monoclonal immunoglobulin protein. MM is the second most common haematological malignancy, with an increasing global incidence. It remains incurable because most patients relapse or become refractory to treatments. MM is a genetically complex disease with high heterogeneity that develops as a multistep process, involving acquisition of genetic alterations in the tumour cells and changes in the bone marrow microenvironment. Symptomatic MM is diagnosed using the International Myeloma Working Group criteria as a bone marrow infiltration of ≥10% clonal plasma cells, and the presence of at least one myeloma-defining event, either standard CRAB features (hypercalcaemia, renal failure, anaemia and/or lytic bone lesions) or biomarkers of imminent organ damage. Younger and fit patients are considered eligible for transplant. They receive an induction, followed by consolidation with high-dose melphalan and autologous haematopoietic cell transplantation, and maintenance therapy. In older adults (ineligible for transplant), the combination of daratumumab, lenalidomide and dexamethasone is the preferred option. If relapse occurs and requires further therapy, the choice of therapy will be based on previous treatment and response and now includes immunotherapies, such as bi-specific monoclonal antibodies and chimeric antigen receptor T cell therapy.
Topics: Multiple Myeloma; Humans; Dexamethasone; Lenalidomide; Antibodies, Monoclonal; Hematopoietic Stem Cell Transplantation; Melphalan; Thalidomide; Antineoplastic Combined Chemotherapy Protocols
PubMed: 38937492
DOI: 10.1038/s41572-024-00529-7 -
Nature Reviews. Disease Primers Jun 2024
Topics: Multiple Myeloma; Humans
PubMed: 38937486
DOI: 10.1038/s41572-024-00535-9 -
Clinical and Experimental Medicine Jun 2024Patients with multiple myeloma (MM) have an increased risk of sepsis due to underlying disease- and treatment-related immunosuppression. However, data on sepsis... (Observational Study)
Observational Study
Comprehensive analysis of clinical outcomes, infectious complications and microbiological data in newly diagnosed multiple myeloma patients: a retrospective observational study of 92 subjects.
Patients with multiple myeloma (MM) have an increased risk of sepsis due to underlying disease- and treatment-related immunosuppression. However, data on sepsis incidence, causative pathogens, and impact on outcomes in newly diagnosed MM (NDMM) are limited. We conducted a retrospective observational study of 92 NDMM patients who developed sepsis between 2022 and 2023 at a tertiary care center in Italy. Patient characteristics, sepsis criteria [Quick Sequential Organ Failure Assessment, Systemic Inflammatory Response Syndrome (SIRS)], microbiology results, and associations with progression-free survival (PFS) were analyzed. In this cohort of 92 critically-ill patients, pathogenic organisms were identified via microbiological culture in 74 cases. However, among the remaining 18 culture-negative patients, 9 exhibited a SIRS score of 2 and another 9 had a SIRS score of 4, suggestive of a clinical presentation consistent with sepsis despite negative cultures. Common comorbidities included renal failure (60%), anemia (71%), and bone disease (83%). Gram-negative (28%) and Gram-positive (23%) bacteria were frequent causative organisms, along with fungi (20%). Cox Univariate analyses for PFS showed statically significant HR in patients with albumin ≥ 3.5 vs < 3.5 (HR = 5.04, p < 0.001), Karnofsky performance status ≥ 80 vs < 80 (HR = 2.01, p = 0.002), and early-stage vs late-stage disease by International Staging System (HR = 4.76 and HR = 12.52, both p < 0.001) and Revised International Staging System (R-ISS III vs R-ISS I, HR = 7.38, p < 0.001). Sepsis is common in NDMM and associated with poor outcomes. Risk stratification incorporating sepsis severity, comorbidities, and disease stage may help guide preventive strategies and optimize MM management.
Topics: Humans; Multiple Myeloma; Retrospective Studies; Male; Female; Aged; Middle Aged; Sepsis; Italy; Aged, 80 and over; Adult; Tertiary Care Centers
PubMed: 38937383
DOI: 10.1007/s10238-024-01411-2 -
Supportive Care in Cancer : Official... Jun 2024While numerous studies underscore the benefits of early palliative care (EPC) for patients with solid tumors, its effects on patients with multiple myeloma (MM) are not...
PURPOSE
While numerous studies underscore the benefits of early palliative care (EPC) for patients with solid tumors, its effects on patients with multiple myeloma (MM) are not as widely known. This study aims to determine the effects of EPC integration on patients with newly diagnosed symptomatic MM and the feasibility of this approach.
METHODS
This prospective cohort study enrolled patients within eight weeks of diagnosis. Participants met with a palliative care team monthly for 12 months. Functional Assessment of Cancer Therapy-General (FACT-G) plus Multiple Myeloma Subscale (FACT-MM), and Hospital Anxiety and Depression Scale (HADS) were administered upon enrollment and every three months. Proportion of completed visits and assessments determined the feasibility of EPC.
RESULTS
Of the twenty participants enrolled from January 2020 to November 2022, median age was 65 (range 40, 77), 15 (75%) were female, 15 (75%) were white, 65% completed assessments at six months, and 60% at 12 months. The following measures significantly improved at 12 months versus baseline: FACT-G scores increased by 15.1 points (adjusted 95% CI: 2.2-28.1, adjusted p = 0.02); Functional Well-Being scores increased by 6.0 points (adjusted 95% CI: 1.1-10.9, adjusted p = 0.01); and Pain Subscale scores increased by 3.4 points (adjusted 95% CI: 0.5-6.4, adjusted p = 0.02). Depression and anxiety scores did not significantly change over time.
CONCLUSION
Functional well-being, pain experience and overall QOL improved in a cohort of patients with newly diagnosed MM after 12 months of EPC involvement. Although monthly visits seemed feasible, the findings suggest that further research is needed to explore the optimal timing of palliative care interventions in the MM trajectory.
TRIAL REGISTRATION
ClinicalTrials.gov ID NCT04248244 (Registration Date: January 30, 2020).
Topics: Humans; Multiple Myeloma; Female; Male; Palliative Care; Middle Aged; Aged; Prospective Studies; Adult; Quality of Life; Cohort Studies; Depression; Anxiety
PubMed: 38937310
DOI: 10.1007/s00520-024-08665-2 -
Skeletal Radiology Jun 2024To develop a whole-body low-dose CT (WBLDCT) deep learning model and determine its accuracy in predicting the presence of cytogenetic abnormalities in multiple myeloma...
OBJECTIVE
To develop a whole-body low-dose CT (WBLDCT) deep learning model and determine its accuracy in predicting the presence of cytogenetic abnormalities in multiple myeloma (MM).
MATERIALS AND METHODS
WBLDCTs of MM patients performed within a year of diagnosis were included. Cytogenetic assessments of clonal plasma cells via fluorescent in situ hybridization (FISH) were used to risk-stratify patients as high-risk (HR) or standard-risk (SR). Presence of any of del(17p), t(14;16), t(4;14), and t(14;20) on FISH was defined as HR. The dataset was evenly divided into five groups (folds) at the individual patient level for model training. Mean and standard deviation (SD) of the area under the receiver operating curve (AUROC) across the folds were recorded.
RESULTS
One hundred fifty-one patients with MM were included in the study. The model performed best for t(4;14), mean (SD) AUROC of 0.874 (0.073). The lowest AUROC was observed for trisomies: AUROC of 0.717 (0.058). Two- and 5-year survival rates for HR cytogenetics were 87% and 71%, respectively, compared to 91% and 79% for SR cytogenetics. Survival predictions by the WBLDCT deep learning model revealed 2- and 5-year survival rates for patients with HR cytogenetics as 87% and 71%, respectively, compared to 92% and 81% for SR cytogenetics.
CONCLUSION
A deep learning model trained on WBLDCT scans predicted the presence of cytogenetic abnormalities used for risk stratification in MM. Assessment of the model's performance revealed good to excellent classification of the various cytogenetic abnormalities.
PubMed: 38937291
DOI: 10.1007/s00256-024-04733-0 -
The Lancet. Haematology Jul 2024
Topics: Humans; Multiple Myeloma; Antibodies, Monoclonal, Humanized; Antineoplastic Agents, Immunological; Neoplasm Recurrence, Local; Combined Modality Therapy
PubMed: 38937020
DOI: 10.1016/S2352-3026(24)00168-6 -
Pathology, Research and Practice Jun 2024Phosphatase and tensin homolog (PTEN), phosphatidylinositol 3-kinase (PI3K), and protein kinase B (Akt) signaling pathways contribute to the development of several... (Review)
Review
Phosphatase and tensin homolog (PTEN), phosphatidylinositol 3-kinase (PI3K), and protein kinase B (Akt) signaling pathways contribute to the development of several cancers, including multiple myeloma (MM). PTEN is a tumor suppressor that influences the PI3K/Akt/mTOR pathway, which in turn impacts vital cellular processes like growth, survival, and treatment resistance. The current study aims to present the role of PTEN and PI3K/Akt/mTOR signaling in the development of MM and its response to treatment. In addition, the molecular interactions in MM that underpin the PI3K/Akt/mTOR pathway and address potential implications for the development of successful treatment plans are also discussed in detail. We investigate their relationship to both upstream and downstream regulators, highlighting new developments in combined therapies that target the PTEN/PI3K/Akt axis to overcome drug resistance, including the use of PI3K and mitogen-activated protein kinase (MAPK) inhibitors. We also emphasize that PTEN/PI3K/Akt pathway elements may be used in MM diagnosis, prognosis, and therapeutic targets.
PubMed: 38936094
DOI: 10.1016/j.prp.2024.155401 -
American Society of Clinical Oncology... Jun 2024This article endeavors to navigate the clinical journey of bispecific antibodies (BsAbs), from elucidating common toxicities and management strategies to examining novel... (Review)
Review
This article endeavors to navigate the clinical journey of bispecific antibodies (BsAbs), from elucidating common toxicities and management strategies to examining novel agents and broadening access in community health care. These drugs, commonly through T-cell activation, result in shared adverse events such as cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome. Variations in target antigens and designs, however, might introduce unique toxicities for different BsAbs, warranting specific management approaches. Recent US Food and Drug Administration approvals of BsAbs targeting CD3 T cells linked to CD20 for non-Hodgkin lymphoma and to B-cell maturation antigen or GPRC5D for multiple myeloma have transformed the treatment landscape for hematologic malignancies. Emerging new agents promise further enhancement and safety, exploring novel antigen targets, innovative structures such as trispecific antibodies, and the engagement of diverse immune cells. Simultaneously, the expansion of BsAbs into community practices is underway, demanding a multifaceted strategy that encompasses educational initiatives, operational adaptations, and collaborative frameworks. This ensures comprehensive treatment access, allowing every patient, irrespective of geographical or socioeconomic status, to benefit from these advancements in cancer therapy.
Topics: Humans; Antibodies, Bispecific; Multiple Myeloma; Lymphoma; Antineoplastic Agents, Immunological
PubMed: 38935881
DOI: 10.1200/EDBK_433516 -
Cancer Jun 2024
Erratum to "Incidence, timing, and management of infections in patients receiving teclistamab for the treatment of relapsed/refractory multiple myeloma in the MajesTEC-1 study".
PubMed: 38935525
DOI: 10.1002/cncr.35464 -
Hematology (Amsterdam, Netherlands) Dec 2024The BCL2 interacting protein 3-like (BNIP3L) protein is involved in multiple myeloma (MM) development and progression. This study aims to explore the connection between...
BACKGROUND
The BCL2 interacting protein 3-like (BNIP3L) protein is involved in multiple myeloma (MM) development and progression. This study aims to explore the connection between BNIP3L single-nucleotide polymorphisms (SNPs) and MM.
METHODS
SNaPshot was used to examine six SNP loci of the BNIP3L gene in enrolled subjects. The relationship between these loci and MM susceptibility and prognosis was explored. Survival analysis was used to evaluate the impact of different factors on patient survival.
RESULTS
The rs2874670 AA genotype and A allele were associated with increased MM risk ( < 0.05). The CCACAC haplotype had a higher frequency in MM, while CCGCAC had a higher frequency in normal patients (all < 0.05). Patients with R-ISS stage I and II had higher survival rates than those with stage III ( < 0.05). Patients, who received chemotherapy followed by autologous stem cell transplantation, had longer survival time than those who only received chemotherapy ( < 0.05). Low levels of LDH and β2-MG were associated with better survival rates ( < 0.05). Cox regression identified that LDH levels, β2-MG levels, and R-ISS staging were the risk factors for the death of MM. Mann-Whitney U test found a significant difference in survival time between MM patients with different BNIP3L rs2874670 genotypes after BD chemotherapy ( < 0.05).
CONCLUSION
To our knowledge, this is the first study to find that BNIP3L rs2874670 could increase MM susceptibility in China. Different BNIP3L rs2874670 genotypes may affect the prognosis of MM patients receiving BD chemotherapy.
Topics: Humans; Multiple Myeloma; Polymorphism, Single Nucleotide; Membrane Proteins; Female; Male; Middle Aged; China; Proto-Oncogene Proteins; Genetic Predisposition to Disease; Adult; Aged; Prognosis; Genotype; Tumor Suppressor Proteins
PubMed: 38934722
DOI: 10.1080/16078454.2024.2367918