A model-based meta-analysis of immune-related adverse events during immune checkpoint inhibitors treatment for NSCLC.

Immune checkpoint inhibitors (ICIs) have become a vital part of the therapeutic landscape for non-small cell lung cancer (NSCLC) in recent years benefiting from their remarkable efficacy. However, ICIs are associated with potentially life-threatening immune-related adverse events (irAEs). This study aims to quantify dose dependence and additional influencing factors of both any grade and grade greater than or equal to 3 irAEs in patients with NSCLC treated by ICIs. The trial-level irAE data was collected and pooled from 129 cohorts in 81 clinical studies. A logit-transformed meta-regression model was applied to derive the quantitative relationship of irAE rate and ICI exposure. Programmed cell death-1 (PD-1) or programmed cell death ligand-1 (PD-L1) inhibitors showed no dose dependence in patients with NSCLC, whereas cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) inhibitors exhibited a statistically significant dose dependence when used alone or combined with PD-1 or PD-L1 inhibitors. Besides, therapy line and combination of ICIs with chemotherapy or target therapy were significant covariates. Hopefully, the results of this study can improve clinicians' awareness of irAEs and be helpful for clinical decisions during ICI treatment for NSCLC.

Prognostic value of ECOG performance status and Gleason score in the survival of castration-resistant prostate cancer: a systematic review.

Eastern Cooperative Oncology Group (ECOG) performance status and Gleason score are commonly investigated factors for overall survival (OS) in men with castration-resistant prostate cancer (CRPC). However, there is a lack of consistency regarding their prognostic or predictive value for OS. Therefore, we performed this meta-analysis to assess the associations of ECOG performance status and Gleason score with OS in CRPC patients and compare the two markers in patients under different treatment regimens or with different chemotherapy histories. A systematic literature review of monotherapy studies in CRPC patients was conducted in the PubMed database until May 2019. The data from 8247 patients in 34 studies, including clinical trials and real-world data, were included in our meta-analysis. Of these, twenty studies reported multivariate results and were included in our main analysis. CRPC patients with higher ECOG performance statuses (≥ 2) had a significantly increased mortality risk than those with lower ECOG performance statuses (<2), hazard ratio (HR): 2.10, 95% confidence interval (CI): 1.68-2.62, and P < 0.001. The synthesized HR of OS stratified by Gleason score was 1.01, with a 95% CI of 0.62-1.67 (Gleason score ≥ 8 vs <8). Subgroup analysis showed that there was no significant difference in pooled HRs for patients administered taxane chemotherapy (docetaxel and cabazitaxel) and androgen-targeting therapy (abiraterone acetate and enzalutamide) or for patients with different chemotherapy histories. ECOG performance status was identified as a significant prognostic factor in CRPC patients, while Gleason score showed a weak prognostic value for OS based on the available data in our meta-analysis.

Important roles of estrogen receptor alpha in tumor progression and anti-estrogen therapy of pancreatic ductal adenocarcinoma.

AIMS: The roles of estrogen receptors (ERs) and the efficacy of anti-estrogen (E2) therapies in pancreatic cancer stay controversial. The main objectives of this study were to investigate the potential roles of ERs in tumor progression and endocrine therapies. MAIN METHODS: The ER expression status in PANC-1 and SW1990 pancreatic cancer cell lines was determined. SRB assay, colony formation assay and proliferation assay were used to investigate the responses of these cells to E2. ERα-selective agonist propylpyrazoletriol (PPT), ERß-selective agonist diarylpropionitrile (DPN), ERα over-expressed SW1990 cells, ERα knock-out PANC-1 cells and patient-derived xenografts (PDX) were applied to investigate the potential roles of ERα in pancreatic cancer. The phosphorylation of ERα-related signaling molecules extracellular regulated protein kinases (ERK1/2) and protein kinase B (AKT) were investigated. The in vivo anti-tumor efficacy and safety of letrozole (LTZ) combined with leuprorelin acetate (LA) and gemcitabine (GEM) were also preliminarily studied. KEY FINDINGS: PANC-1 cells expressed much more ERα than SW1990 cells, and ERß level was with less diversity. Accordingly, the proliferation of PANC-1 rather than SW1990 cells could be stimulated by E2, and only PANC-1 could respond to LTZ endocrine therapy in female but not male mice. The phosphorylation of ERK1/2 but not AKT was altered by over-expressed or knocking out of ERα with or without the addition of E2 and LTZ. The combination therapy of LTZ and GEM showed acceptable efficacy and safety. SIGNIFICANCE: This study showed the important roles of ERα in tumor progression and endocrine therapies of pancreatic cancer in women.

Development and validation of a highly sensitive HPLC-MS/MS method for the QAP14, a novel potential anti-cancer agent, in rat plasma and its application to a pharmacokinetic study.

QAP14 is a novel anti-cancer compound exhibiting good efficacy and safety in preclinical study. To investigate its pharmacokinetic properties, a rapid and sensitive HPLC-MS/MS method was developed and validated to quantify the concentration of QAP14 in rat plasma. QAP14 was separated on ZORBAX Eclipse XDB-C8 column with a gradient elution. Erlotinib was selected as internal standard and plasma samples were prepared by precipitation with acetonitrile. In the pharmacokinetic study, rats were treated with QAP14 at 2.4 mg/kg (i.v.) or 6 mg/kg (p.o.). This method provided good linearity in the range of 0.5-1000 ng/mL in rat plasma. The accuracy, precision, matrix effect, recovery, stability and carryover fulfilled the criteria. The pharmacokinetic profiles of QAP14 in rats were described by non-compartmental analysis. The oral bioavailability was 50.29 %. The assay is reliable and requires only little sample volume, and the pharmacokinetic properties of QAP14 in rats may provide reference for future studies.

Prediction of Human Pharmacokinetics and Clinical Effective Dose of SI-B001, an EGFR/HER3 Bi-specific Monoclonal Antibody.

SI-B001 is a new EGFR/HER3 bi-specific antibody showing encouraging anti-tumor efficacy in the preclinical studies and was ready for further clinical research. To help with the dose design, human pharmacokinetics (PK) and clinical effective doses of SI-B001 were predicted by PK and PK/PD modeling and simulation. A Michaels-Menten (M-M) PK model was first used to describe the PK of SI-B001 in cynomolgus monkeys, whose parameters were allometrically scaled to humans for the simulation of human PK profiles. Besides, the anti-tumor efficacy of SI-B001 on different xenografts in tumor-bearing mice was quantitatively described by PK/PD models. The clinical effective doses were predicted by comparing the effective exposure (AUCs) in mice with simulated human AUCs. The clinical effective doses of SI-B001 were predicted to be over 16 mg/kg, 5-7 mg/kg or 5-6 mg/kg per week for colon cancer, head and neck cancer or esophageal cancer, respectively, which may help with the optimization of dose escalation schemes and the selection of indications for SI-B001.

Disease progression model of 4T1 metastatic breast cancer.

Cancer metastasis is the main cause of death in various types of cancer. However, in the field of pharmacometrics, cancer disease progression models focus on the growth of primary tumors with tumor volume or weight as target values, while the metastasis process is less mentioned. We propose a series of mathematical models to quantitatively describe and predict the disease progression of 4T1 breast cancer in the aspect of primary breast tumor, lung metastasis and white blood cell. The 4T1 cells were injected into breast fat pad of female BALB/c mice to establish an animal model of breast cancer metastasis. The number and volume of lung metastases at different times were measured. Based on the above data, a disease progression model of breast cancer lung metastasis was established and parameter values were estimated. The white blood cell growth and the primary tumor growth of 4T1 mouse are also modeled. The established models can describe the lung metastasis of 4T1 breast cancer in three aspects: (1) the increase in metastasis number; (2) the growth of metastasis volume; (3) metastasis number-size distribution at different time points. Compared with the prior metastasis models based on von Forester equation, our models distinguished the growth rate of primary tumor and metastasis and got parameter values for 4T1 mouse model. And the current models optimized the metastasis number-size distribution model by utilizing logistic function instead of the prior power function. This study provides a comprehensive description of lung metastasis progression for 4T1 breast cancer model, as well as an alternative disease progression model structure for further pharmacodynamics modeling.

Development and validation of a LC-MS/MS method for simultaneous determination of six glucocorticoids and its application to a pharmacokinetic study in nude mice.

In this study, a simple, rapid and sensitive LC-MS/MS analytical method for simultaneous determination of six glucocorticoids including 21-hydroxy deflazacort (21-OH DFZ), prednisolone (PNL), betamethasone (BET), beclomethasone (BEC), triamcinolone acetonide (TCA), budesonide (BUD) in nude mice plasma was developed and validated. Using testosterone as internal standard, the plasma samples were prepared by precipitation with acetonitrile and separated using an ACQUITY UPLC BEH C18 column (100 mm × 2.1 mm, 1.7 µm) with a mobile phase composed of acetonitrile and 0.1 % (v/v) formic acid aqueous solution by gradient elution at a flow rate of 0.3 mL/min. Quantitation was performed on a triple quadruple tandem mass spectrometer by multiple reaction monitoring in positive electrospray ionization mode. Calibration curves were developed over the range of 1-400 ng/mL for TCA, 5-2000 ng/mL for 21-OH DFZ, BET, BEC as well as BUD, and 10-2000 ng/mL for PNL. The accuracy, precision, matrix effect, recovery and stability were validated to be within acceptable criteria. The method was successfully applied to a preclinical pharmacokinetic (PK) study of the six GCs on female nude mice after a single oral dose of 1 mg/kg. The PK profiles of all the six GCs were described by two-compartment model with first-order absorption rate.