Current standard frontline therapy for newly diagnosed patients with multiple myeloma (NDMM) involves induction therapy, autologous stem cell transplantation (ASCT), and maintenance therapy. Major efforts are underway to understand the biological and the clinical impacts of each stage of the treatment protocols on overall survival statistics. The most routinely used drugs in the pre-ASCT "induction" regime have different mechanisms of action and are employed either as monotherapies or in various combinations. Aside from their direct effects on cancer cell mortality, these drugs are also known to have varying effects on immune cell functionality. The question remains as to how induction therapy impacts post-ASCT immune reconstitution and anti-tumor immune responses. This review provides an update on the known immune effects of melphalan, dexamethasone, lenalidomide, and bortezomib commonly used in the induction phase of MM therapy. By analyzing the actions of each individual drug on the immune system, we suggest it might be possible to leverage their effects to rationally devise more effective induction regimes. Given the genetic heterogeneity between myeloma patients, it may also be possible to identify subgroups of patients for whom particular induction drug combinations would be more appropriate.
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http://dx.doi.org/10.3390/cancers13164090 | DOI Listing |
Sensors (Basel)
January 2025
Departamento de Ingeniería Electrónica, Universidad de Sevilla, 41092 Seville, Spain.
Variable-speed electrical drive control typically relies upon a two-loop scheme, one for torque/speed and another for stator current control. In modern drive control methods, the actual mechanical speed is needed for both loops. In practical applications, the speed is often acquired by incremental rotary encoders.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Department of Urology, Westmead Hospital, Sydney, NSW 2145, Australia.
Background/objectives: Knowledge of the symptoms and side effects (SSEs) of Bacille Calmette-Guerin (BCG) therapy for non-muscle invasive bladder cancer (NMIBC) is critical when establishing selecting appropriate therapies for patients. The aim of our study was to systematically review the common patient-reported SSEs associated with BCG-based and other intravesical chemotherapy treatment options for NMIBC.
Methods: A systematic search of AMED, MEDLINE, EMBASE, PsycINFO, Web of Knowledge, and Scopus was conducted from inception to July 2024.
Front Immunol
January 2025
Sino-British Research Centre for Molecular Oncology, National Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China.
Oncolytic vaccinia viruses (VVs) are potent stimulators of the immune system and induce immune-mediated tumor clearance and long-term surveillance against tumor recurrence. As such they are ideal treatment modalities for solid tumors including lung cancer. Here, we investigated the use of VVL-m12, a next-generation, genetically modified, interleukin-12 (IL-12)-armed VV, as a new therapeutic strategy to treat murine models of lung cancer and as a mechanism of increasing lung cancer sensitivity to antibody against programmed cell death protein 1 (α-PD1) therapy.
View Article and Find Full Text PDFPeerJ
January 2025
Faculty of Agricultural Sciences, University of the Punjab, Lahore, Punjab, Pakistan.
The continuous contamination of heavy metals (HMs) in our ecosystem due to industrialization, urbanization and other anthropogenic activities has become a serious environmental constraint to successful crop production. Lead (Pb) toxicity causes ionic, oxidative and osmotic injuries which induce various morphological, physiological, metabolic and molecular abnormalities in plants. Polyethylene glycol (PEG) is widely used to elucidate drought stress induction and alleviation mechanisms in treated plants.
View Article and Find Full Text PDFBiometrics
January 2025
MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SR, United Kingdom.
Dynamic treatment regimes (DTRs) formalize medical decision-making as a sequence of rules for different stages, mapping patient-level information to recommended treatments. In practice, estimating an optimal DTR using observational data from electronic medical record (EMR) databases can be complicated by nonignorable missing covariates resulting from informative monitoring of patients. Since complete case analysis can provide consistent estimation of outcome model parameters under the assumption of outcome-independent missingness, Q-learning is a natural approach to accommodating nonignorable missing covariates.
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