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Nature Communications Jun 2024Dexamethasone is the standard of care for critically ill patients with COVID-19, but the mechanisms by which it decreases mortality and its immunological effects in this...
Dexamethasone is the standard of care for critically ill patients with COVID-19, but the mechanisms by which it decreases mortality and its immunological effects in this setting are not understood. Here we perform bulk and single-cell RNA sequencing of samples from the lower respiratory tract and blood, and assess plasma cytokine profiling to study the effects of dexamethasone on both systemic and pulmonary immune cell compartments. In blood samples, dexamethasone is associated with decreased expression of genes associated with T cell activation, including TNFSFR4 and IL21R. We also identify decreased expression of several immune pathways, including major histocompatibility complex-II signaling, selectin P ligand signaling, and T cell recruitment by intercellular adhesion molecule and integrin activation, suggesting these are potential mechanisms of the therapeutic benefit of steroids in COVID-19. We identify additional compartment- and cell- specific differences in the effect of dexamethasone that are reproducible in publicly available datasets, including steroid-resistant interferon pathway expression in the respiratory tract, which may be additional therapeutic targets. In summary, we demonstrate compartment-specific effects of dexamethasone in critically ill COVID-19 patients, providing mechanistic insights with potential therapeutic relevance. Our results highlight the importance of studying compartmentalized inflammation in critically ill patients.
Topics: Dexamethasone; Humans; COVID-19 Drug Treatment; COVID-19; SARS-CoV-2; Lung; Cytokines; Critical Illness; Male; Single-Cell Analysis; Female; Middle Aged; T-Lymphocytes; Aged; Lymphocyte Activation
PubMed: 38942804
DOI: 10.1038/s41467-024-49756-2 -
Scientific Reports Jun 2024The size of the drug particles is one of the essential factors for the proper absorption of the drug compared to the dose of the drug. When particle size is decreased,...
The size of the drug particles is one of the essential factors for the proper absorption of the drug compared to the dose of the drug. When particle size is decreased, drug uptake into the body increases. Recent studies have revealed that the rapid expansion of supercritical solution with cosolvent plays a significant role in preparing micron and submicron particles. This paper examines the preparation of Erlotinib hydrochloride nanoparticles using a supercritical solution through the cosolvent method for the first time. An examination of the parameters of temperature (318-338 K), pressures (15-25 MPa) and nozzle diameter (300-700 μm) was investigated by Box-Behnken design, and their respective effects on particle size revealed that the nozzle diameter has a more significant impact on particle size than the other parameters. The smallest particles were produced at temperature 338 K, pressure 20 MPa, and nozzle diameter 700 μm. Besides, the ERL nanoparticles were characterized using SEM, DLS, XRD, FTIR, and DSC analyses. Finally, the results showed that the average size of the ERL particles decreased from 31.6 μm to 200-1100 nm.
Topics: Erlotinib Hydrochloride; Nanoparticles; Particle Size; Antineoplastic Agents; Temperature; Chromatography, Supercritical Fluid; Drug Compounding; Pressure
PubMed: 38942802
DOI: 10.1038/s41598-024-64477-8 -
Nature Communications Jun 2024Cancer treatment continues to shift from utilizing traditional therapies to targeted ones, such as protein kinase inhibitors and immunotherapy. Mobilizing dendritic...
Cancer treatment continues to shift from utilizing traditional therapies to targeted ones, such as protein kinase inhibitors and immunotherapy. Mobilizing dendritic cells (DC) and other myeloid cells with antigen presenting and cancer cell killing capacities is an attractive but not fully exploited approach. Here, we show that PIKFYVE is a shared gene target of clinically relevant protein kinase inhibitors and high expression of this gene in DCs is associated with poor patient response to immune checkpoint blockade (ICB) therapy. Genetic and pharmacological studies demonstrate that PIKfyve ablation enhances the function of CD11c cells (predominantly dendritic cells) via selectively altering the non-canonical NF-κB pathway. Both loss of Pikfyve in CD11c cells and treatment with apilimod, a potent and specific PIKfyve inhibitor, restrained tumor growth, enhanced DC-dependent T cell immunity, and potentiated ICB efficacy in tumor-bearing mouse models. Furthermore, the combination of a vaccine adjuvant and apilimod reduced tumor progression in vivo. Thus, PIKfyve negatively regulates the function of CD11c cells, and PIKfyve inhibition has promise for cancer immunotherapy and vaccine treatment strategies.
Topics: Animals; Humans; Dendritic Cells; Mice; Phosphatidylinositol 3-Kinases; CD11c Antigen; Morpholines; Cell Line, Tumor; Immunotherapy; Neoplasms; Mice, Inbred C57BL; Female; Immune Checkpoint Inhibitors; NF-kappa B; T-Lymphocytes; Protein Kinase Inhibitors; Hydrazones; Pyrimidines
PubMed: 38942798
DOI: 10.1038/s41467-024-48931-9 -
Medicine Jun 2024Evidence on real-world clinical and economic outcomes in patients with multiple myeloma (MM) and renal impairment (RI) is limited in the United States. This... (Observational Study)
Observational Study
Evidence on real-world clinical and economic outcomes in patients with multiple myeloma (MM) and renal impairment (RI) is limited in the United States. This retrospective study aimed to generate an updated comprehensive assessment of the clinical and economic outcomes of MM patients with RI using the Medicare research identifiable files data with Part D linkage, which might assist in assessing the total clinical and socioeconomic burden of these high-risk and challenging-to-treat patients. Treatment patterns and clinical and economic outcomes in first line (1L) to fourth line (4L) therapy were described in Medicare beneficiaries (2012 to 2018) for MM patients with RI (RI MM cohort). For reference purposes, information on a general cohort of MM patients was generated and reported to highlight the clinical and economic burden of RI. Since the goal was to describe the burden of these patients, this study was not designed as a comparison between the 2 cohorts. Compared with the general MM cohort (n = 13,573), RI MM patients (24.9%) presented high MM-associated comorbidities. In the RI MM cohort, bortezomib-dexamethasone (45.7%), bortezomib-lenalidomide (18.6%), lenalidomide (12.3%), and bortezomib-cyclophosphamide (12.1%) were the most prevalent regimens in 1L; carfilzomib and pomalidomide were mostly received in 3L to 4L; and daratumumab in 4L. Across 1L to 4L, the RI MM cohort presented shorter median real-world progression-free survival (1L: 12.9 and 16.4 months) and overall survival (1L: 31.1 and 46.8 months) and higher all-cause healthcare resource utilization (1L incidence rate of inpatient days: 12.1 and 7.8 per person per year) than the general MM cohort. In the RI MM cohort, the mean all-cause total cost increased from 1L to 4L ($14,549-$18,667 per person per month) and was higher than that of the general MM cohort. RI MM patients presented higher clinical and economic burdens across 1L to 4L than the general MM patients in real-world clinical practice.
Topics: Humans; Multiple Myeloma; United States; Male; Female; Aged; Retrospective Studies; Medicare; Aged, 80 and over; Renal Insufficiency; Cost of Illness; Antineoplastic Combined Chemotherapy Protocols
PubMed: 38941411
DOI: 10.1097/MD.0000000000038609 -
ELife Jun 2024SARS-CoV-2 induces delayed type-I/III interferon production, allowing it to escape the early innate immune response. The delay has been attributed to a deficiency in...
SARS-CoV-2 induces delayed type-I/III interferon production, allowing it to escape the early innate immune response. The delay has been attributed to a deficiency in the ability of cells to sense viral replication upon infection, which in turn hampers activation of the antiviral state in bystander cells. Here, we introduce a cellular automaton model to investigate the spatiotemporal spreading of viral infection as a function of virus and host-dependent parameters. The model suggests that the considerable person-to-person heterogeneity in SARS-CoV-2 infections is a consequence of high sensitivity to slight variations in biological parameters near a critical threshold. It further suggests that within-host viral proliferation can be curtailed by the presence of remarkably few cells that are primed for IFN production. Thus, the observed heterogeneity in defense readiness of cells reflects a remarkably cost-efficient strategy for protection.
Topics: SARS-CoV-2; Humans; COVID-19; Virus Replication; Immunity, Innate; Epithelial Cells; Interferons
PubMed: 38941138
DOI: 10.7554/eLife.94056 -
Clinical and Experimental Medicine Jun 2024Both atezolizumab (a PD-L1 inhibitor) plus bevacizumab (A+B) and sintilimab (a PD-1 inhibitor) plus bevacizumab (S+B) are recommended as the first-line regimen for... (Comparative Study)
Comparative Study
Both atezolizumab (a PD-L1 inhibitor) plus bevacizumab (A+B) and sintilimab (a PD-1 inhibitor) plus bevacizumab (S+B) are recommended as the first-line regimen for advanced hepatocellular carcinoma (HCC) in China. Different efficacy between the two regimens combined with transvascular intervention for unresectable HCC (uHCC) remain unknown. We retrospectively analyzed uHCC patients treated in three centers by simultaneous combination of A+B or S+B with transarterial chemoembolization (TACE) and FOLFOX-based hepatic arterial infusion chemotherapy (HAIC). Objective response rate (ORR), progression-free survival (PFS), overall survival (OS) and treatment-related adverse events (TRAEs) were compared. Totally 188 patients were included, with 92 and 96 administered A+B+TACE-HAIC (ABTH) and S+B+TACE-HAIC (SBTH), respectively. ORRs (62.0 vs. 70.8%, respectively; P = 0.257) and disease control rates (88.0 vs. 93.8%, P = 0.267) were similar between groups by the mRECIST criteria. ABTH showed no survival advantage over SBTH, with median PFS times of 11.7 months and 13.0 months, respectively (HR = 0.81, 95% CI, 0.52-1.26, P = 0.35) and similar OS times (HR = 1.19, 95% CI, 0.32-4.39, P = 0.8). No significant differences were observed in grade 3-4 TRAEs between groups. Either PD-L1 or PD-1 inhibitor plus bevacizumab combined with TACE-HAIC have similarly excellent therapeutic efficacy with manageable adverse events, representing promising treatment options for uHCC.
Topics: Humans; Carcinoma, Hepatocellular; Male; Bevacizumab; Middle Aged; Female; Liver Neoplasms; Retrospective Studies; Aged; Antineoplastic Combined Chemotherapy Protocols; Adult; Antibodies, Monoclonal, Humanized; Treatment Outcome; Immune Checkpoint Inhibitors; China; Chemoembolization, Therapeutic; Programmed Cell Death 1 Receptor; B7-H1 Antigen; Fluorouracil; Leucovorin
PubMed: 38940944
DOI: 10.1007/s10238-024-01415-y -
CODEX: COunterfactual Deep learning for the in silico EXploration of cancer cell line perturbations.Bioinformatics (Oxford, England) Jun 2024High-throughput screens (HTS) provide a powerful tool to decipher the causal effects of chemical and genetic perturbations on cancer cell lines. Their ability to...
MOTIVATION
High-throughput screens (HTS) provide a powerful tool to decipher the causal effects of chemical and genetic perturbations on cancer cell lines. Their ability to evaluate a wide spectrum of interventions, from single drugs to intricate drug combinations and CRISPR-interference, has established them as an invaluable resource for the development of novel therapeutic approaches. Nevertheless, the combinatorial complexity of potential interventions makes a comprehensive exploration intractable. Hence, prioritizing interventions for further experimental investigation becomes of utmost importance.
RESULTS
We propose CODEX (COunterfactual Deep learning for the in silico EXploration of cancer cell line perturbations) as a general framework for the causal modeling of HTS data, linking perturbations to their downstream consequences. CODEX relies on a stringent causal modeling strategy based on counterfactual reasoning. As such, CODEX predicts drug-specific cellular responses, comprising cell survival and molecular alterations, and facilitates the in silico exploration of drug combinations. This is achieved for both bulk and single-cell HTS. We further show that CODEX provides a rationale to explore complex genetic modifications from CRISPR-interference in silico in single cells.
AVAILABILITY AND IMPLEMENTATION
Our implementation of CODEX is publicly available at https://github.com/sschrod/CODEX. All data used in this article are publicly available.
Topics: Humans; Deep Learning; Cell Line, Tumor; Computer Simulation; High-Throughput Screening Assays; Neoplasms; Computational Biology; Software; Antineoplastic Agents
PubMed: 38940173
DOI: 10.1093/bioinformatics/btae261 -
Frontiers in Bioscience (Landmark... Jun 2024The treatment options for multiple myeloma (MM) have undergone significant transformation with the advent of immunotherapy. Novel therapies that focus on tumor antigens... (Review)
Review
The treatment options for multiple myeloma (MM) have undergone significant transformation with the advent of immunotherapy. Novel therapies that focus on tumor antigens now drive advances in MM research. Bispecific antibodies (bsAbs) leverage revolutionary advances in bioengineering techniques and embody the second generation of antibody-based tumor therapy. Recent studies on bsAbs in relapsed/refractory MM cases have revealed remarkable efficacy and acceptable safety profiles. The approval of elranatamab and teclistamab represents the next step in the development of bsAbs for the treatment of MM. This review article addresses the antigen targeting, efficacy, safety, and strategies in the application of bsAbs against treatment-resistant MM, with a focus on clinical trials and real-world data.
Topics: Multiple Myeloma; Antibodies, Bispecific; Humans; Immunotherapy; Antigens, Neoplasm; Antibodies, Monoclonal, Humanized; Antineoplastic Agents, Immunological
PubMed: 38940040
DOI: 10.31083/j.fbl2906216 -
Frontiers in Bioscience (Landmark... Jun 2024The inhibitors of mammalian target of rapapmycin (mTOR), everolimus, temsirolimus and rapamycin, have a wide range of clinical utility; however, as is inevitably the... (Review)
Review
The inhibitors of mammalian target of rapapmycin (mTOR), everolimus, temsirolimus and rapamycin, have a wide range of clinical utility; however, as is inevitably the case with other chemotherapeutic agents, resistance development constrains their effectiveness. One putative mechanism of resistance is the promotion of autophagy, which is a direct consequence of the inhibition of the mTOR signaling pathway. Autophagy is primarily considered to be a cytoprotective survival mechanism, whereby cytoplasmic components are recycled to generate energy and metabolic intermediates. The autophagy induced by everolimus and temsirolimus appears to play a largely protective function, whereas a cytotoxic function appears to predominate in the case of rapamycin. In this review we provide an overview of the autophagy induced in response to mTOR inhibitors in different tumor models in an effort to determine whether autophagy targeting could be of clinical utility as adjuvant therapy in association with mTOR inhibition.
Topics: Humans; Autophagy; TOR Serine-Threonine Kinases; MTOR Inhibitors; Animals; Neoplasms; Signal Transduction; Antineoplastic Agents; Cytoprotection; Sirolimus
PubMed: 38940039
DOI: 10.31083/j.fbl2906231 -
Frontiers in Bioscience (Landmark... Jun 2024L-Theanine, a nonproteinogenic amino acid derived from green tea, is being recognized as an anti-cancer candidate. However, it's roles in the development of cancer...
BACKGROUND
L-Theanine, a nonproteinogenic amino acid derived from green tea, is being recognized as an anti-cancer candidate. However, it's roles in the development of cancer chemoresistance is still unknown and the molecular mechanism is urgently to be explored.
METHODS
The effects of L-Theanine on lung cancer chemoresistance were validated by Cell Counting Kit-8 (CCK-8) assay, transwell assay, and tumor spheroid formation assay; the expression of proteins was detected by using polymerase chain reaction (PCR) and western blotting. RNA-sequencing (RNA-seq) and bioinformatics analysis were used to identify differentially expressed genes induced by L-Theanine. knockdown and overexpression were constructed by using a lentivirus-mediated transfection system.
RESULTS
L-Theanine improved the chemoresistance to -diamminedichloroplatinum (DDP) and inhibited stemness of DDP-resistant lung cancer cells but not non-resistant lung cancer cells. The results from RNA-seq analysis showed that STAT3/NOTCH1 pathway was a potential dominant signaling involved in L-Theanine improving the chemoresistance in DDP-resistant lung cancer. Mechanistically, L-Theanine impeded migration and stemness activation of DDP-resistant lung cancer cells via regulating the expression of STAT3/NOTCH1/BMAL1 signaling-induced stemness markers as well as inhibiting the expression levels of drug resistance-related genes. In addition, a combination of L-Theanine and Stat3 blockade synergistically improved the chemoresistance in DDP-resistant lung cancer.
CONCLUSION
L-Theanine improves the chemoresistance by regulating STAT3/NOTCH1/BMAL1 signaling, reducing stemness, and inhibiting the migration of DDP-resistant lung cancer cells. The finding might provide some evidence for therapeutic options in overcoming the chemoresistance in cancers, including lung cancer.
Topics: Humans; Glutamates; Drug Resistance, Neoplasm; Lung Neoplasms; Cisplatin; STAT3 Transcription Factor; Signal Transduction; Receptor, Notch1; Cell Line, Tumor; ARNTL Transcription Factors; Antineoplastic Agents; Gene Expression Regulation, Neoplastic; A549 Cells; Cell Movement
PubMed: 38940036
DOI: 10.31083/j.fbl2906226