A systematic evaluation of population pharmacokinetic models for polymyxin B in patients with liver and/or kidney dysfunction.

Polymyxin B (PMB) is considered a last-line treatment for multidrug-resistant (MDR) gram-negative bacterial infections. Model-informed precision dosing with population pharmacokinetics (PopPK) models could help to individualize PMB dosing regimens and improve therapy. However, the external prediction ability of the established PopPK models has not been fully elaborated. This study aimed to systemically evaluate eleven PMB PopPK models from ten published literature based on a new independent population, which was divided into four different populations, patients with liver dysfunction, kidney dysfunction, liver and kidney dysfunction, and normal liver and kidney function. The whole data set consisted of 146 patients with 391 PMB concentrations. The prediction- and simulation-based diagnostics and Bayesian forecasting were conducted to evaluate model predictability. In the overall evaluation process, none of the models exhibited satisfactory predictive ability in both prediction- and simulation-based diagnostic simultaneously. However, the evaluation of the models in the subgroup of patients with normal liver and kidney function revealed improved predictive performance compared to those with liver and/or kidney dysfunction. Bayesian forecasting demonstrated enhanced predictability with the incorporation of two to three prior observations. The external evaluation highlighted a lack of consistency between the prediction results of published models and the external validation dataset. Nonetheless, Bayesian forecasting holds promise in improving the predictive performance of the models, and feedback from therapeutic drug monitoring is crucial in optimizing individual dosing regimens.

Clinical crusade: zosurabalpin's charge against antibiotic resistance.

In a recent report, Zampaloni et al. describe a novel tethered macrocyclic peptide (MCP) antibiotic, zosurabalpin, that disrupts the essential function of the LptB2FGC complex in Gram-negative bacteria and demonstrates efficacy against carbapenem-resistant Acinetobacter baumannii (CRAB). Its preclinical success suggests a substantial shift in treating antibiotic resistance, pending clinical trials to validate its effectiveness, pharmacokinetics, and resistance management.

Population pharmacokinetics of polymyxin B in patients with liver dysfunction.

AIMS: Polymyxin B (PMB) is widely used to treat infections caused by multidrug-resistant Gram-negative pathogens. Currently, the pharmacokinetic data of PMB in patients with liver dysfunction are limited. This study aimed to develop a population pharmacokinetic (PopPK) model of PMB in patients with liver dysfunction and identify the factors affecting PMB pharmacokinetics. METHODS: We conducted a retrospective pharmacokinetic study involving 136 adults with different levels of liver function. Nonlinear mixed effects modelling was used to develop a PopPK model of PMB. Monte Carlo simulation was used to design PMB dosage schedules across various liver and renal functions. RESULTS: PMB pharmacokinetic analyses included 401 steady-state concentrations in 136 adult patients. A one-compartment pharmacokinetic model with first-order absorption and elimination was used to describe the data. The typical population value of PMB clearance was 2.43 L/h and the volume of distribution was 23.11 L. This study revealed that creatinine clearance (CrCL) and Child-Pugh class were significantly associated with PMB pharmacokinetic parameters; however, clinically relevant variations of dose-normalized drug exposure were not significant. For patients with a minimum inhibitory concentration of ≤0.5 mg/L, the appropriate dose was 40-75 mg/12-h. When the dose exceeded 100 mg/12-h, the risk of nephrotoxicity increased significantly. CONCLUSIONS: This study provided PMB pharmacokinetic information for patients with liver dysfunction. Patients with renal and liver dysfunctions may not require an initial dose adjustment. Rather than PopPK-guided dose adjustment, therapeutic drug monitoring of PMB plays a more direct role in optimizing dosing regimens based on its therapeutic window.

Determination of polymyxin B in human plasma and epithelial lining fluid using LC-MS/MS and its clinical application in therapeutic drug monitoring.

Polymyxin B (PB) is currently one of the last resort treatment options against carbapenem-resistant gram-negative bacterial pathogens. Pharmacokinetics/pharmacodynamics (PK/PD) guided therapeutic drug monitoring (TDM) of antibiotics is critical for optimizing dosage regimens to maximize efficacy, minimize toxicity, and delay the emergence of resistance. Currently, methods for determining PB in human plasma and epithelial lining fluid (ELF) are limited. In this study, we developed and validated a simple method for PB determination in human plasma and ELF using LC-MS/MS. Protein precipitation of the sample was conducted with 0.1% formic acid-acetonitrile. Polymyxin B1 and B2 were separated on a C18 column and detected within 4 min by the mass spectrometer in the positive mode coupled with multiple reaction monitoring. The calibration curve range was 0.156-10.0 and 0.0156-1.00 µg/mL in the plasma for polymyxin B1 and B2, respectively, and was 0.0625-2.00 and 0.00625-0.200 µg/mL for polymyxin B1 and B2, respectively in bronchoalveolar lavage fluid. The accuracy of the intra- and inter-assay studies ranged from 80.6% to 114.9%, and the coefficients of variation for intra- and inter-day assays were less than 14.8%. Among a considerable number of patients, the average steady-state plasma concentration of PB was suboptimal. Moreover, the exposure to PB in patients with acute kidney injury (AKI) was considerably higher than that in patients without AKI. Meanwhile, a higher concentration of PB in ELF could be achieved than that in plasma after PB nebulization treatment. The established method was proven to be rapid, simple, and suitable for TDM of PB and PK/PD studies in human plasma and ELF.

Koumine ameliorates concanavalin A-induced autoimmune hepatitis in mice: involvement of the Nrf2, NF-κB pathways, and gut microbiota.

Gelsemiumelegans(Gardner. & Chapm.) Benth. has long been considered a traditional Chinese medicine effective against rheumatoid pain, cancer, cirrhosis, and skin diseases. Koumine (KM), the most abundant alkaloid in G.elegans Benth., demonstrates a variety of biological effects, including antitumor, analgesic, anxiolytic, anti-inflammatory, antidepressant, antioxidant, immunoregulatory, and hepatoprotective effects. Furthermore, the relatively low toxicity of KM makes it a promising drug candidate. This study aimed to investigate the protective effects of KM and its possible mechanisms using a concanavalin A (Con A)-induced autoimmune hepatitis (AIH) model in mice. Mice were orally administered different doses of KM for 14 d before Con A tail vein injections. The effects of KM on serum biochemical markers and liver histopathology were then evaluated 12 h after Con A exposure. The Nrf2 and NF-κB signaling pathways and alterations in gut microbiota were determined using western blotting, immunohistochemistry, and 16S rRNA sequencing to explore the underlying mechanisms of KM exposure. KM pretreatment dose-dependently decreased serum liver injury markers (Alanine aminotransferase, and aspartate aminotransferase) and cytokine levels (Tumor necrosis factor-α and interleukin-6), as well as the liver pathological damage triggered by Con A. Furthermore, the results of the multi-technique analysis indicated that KM activated the Nrf2 pathway, upregulated the expression of anti-oxidation factors HO-1 and Nrf2, and downregulated the expression of Keap1. Moreover, the NF-κB signaling pathway was inhibited. Interestingly, pre-treatment with KM also significantly improved the composition of the gut microbiota probably because it increases the richness of probiotics. Our findings suggest that KM pretreatment could attenuate Con A-induced AIH, the Nrf2 and NF-κB signaling pathways, and that gut microbiota are involved in the process of the hepatoprotective effect. This study provides a theoretical basis for the development of KM as an effective agent against AIH.

Evaluation and Validation of the Limited Sampling Strategy of Polymyxin B in Patients with Multidrug-Resistant Gram-Negative Infection.

Polymyxin B (PMB) is the final option for treating multidrug-resistant Gram-negative bacterial infections. The acceptable pharmacokinetic/pharmacodynamic target is an area under the concentration-time curve across 24 h at a steady state (AUCss,24h) of 50-100 mg·h/L. The limited sampling strategy (LSS) is useful for predicting AUC values. However, establishing an LSS is a time-consuming process requiring a relatively dense sampling of patients. Further, given the variability among different centers, the predictability of LSSs is frequently questioned when it is extrapolated to other clinical centers. Currently, limited data are available on a reliable PMB LSS for estimating AUCss,24h. This study assessed and validated the practicability of LSSs established in the literature based on data from our center to provide reliable and ready-made PMB LSSs for laboratories performing therapeutic drug monitoring (TDM) of PMB. The influence of infusion and sampling time errors on predictability was also explored to obtain the optimal time points for routine PMB TDM. Using multiple regression analysis, PMB LSSs were generated from a model group of 20 patients. A validation group (10 patients) was used to validate the established LSSs. PMB LSSs from two published studies were validated using a dataset of 30 patients from our center. A population pharmacokinetic model was established to simulate the individual plasma concentration profiles for each infusion and sampling time error regimen. Pharmacokinetic data obtained from the 30 patients were fitted to a two-compartment model. Infusion and sampling time errors observed in real-world clinical practice could considerably affect the predictability of PMB LSSs. Moreover, we identified specific LSSs to be superior in predicting PMB AUCss,24h based on different infusion times. We also discovered that sampling time error should be controlled within -10 to 15 min to obtain better predictability. The present study provides validated PMB LSSs that can more accurately predict PMB AUCss,24h in routine clinical practice, facilitating PMB TDM in other laboratories and pharmacokinetics/pharmacodynamics-based clinical studies in the future.

[Identification of GeERF transcription factors in Gelsmium elegans and their expression under low temperature stress].

With prominent medicinal value, Gelsemium elegans has been overexploited, resulting in the reduction of the wild resource. As a result, artificial cultivation turns out to be a solution. However, this medicinal species is intolerant to low temperature, and thus genes responding to the low temperature are important for the cultivation of this species. Based on the transcriptome database of G. elegans at 4 ℃, 29 differentially expressed GeERF genes were identified. Bioinformatics analysis of 21 GeERF gene sequences with intact open reading frames showed that 12 and 9 of the GeERF proteins respectively clustered in DREB subgroup and ERF subgroup. GeDREB1 A-1-GeERF6 B-1, with molecular weight of 23.78-50.96 kDa and length of 212-459 aa, were all predicted to be hydrophilic and in nucleus. Furthermore, the full-length cDNA sequence of GeERF2B-1 was cloned from the leaves of G. elegans. Subcellular localization suggested that GeERF2B-1 was located in the nucleus. According to the quantitative reverse-transcription PCR(qRT-PCR), GeERF2B-1 showed constitutive expression in roots, stems, and leaves of G. elegans, and the expression was the highest in roots. In terms of the response to 4 ℃ treatment, the expression of GeERF2B-1 was significantly higher than that in the control and peaked at 12 h, suggesting a positive response to low temperature. This study lays a scientific basis for the functional study of GeERF transcription factors and provides gene resources for the improvement of stress resistance of G. elegans.

Rapid, simple, and economical LC-MS/MS method for simultaneous determination of ceftazidime and avibactam in human plasma and its application in therapeutic drug monitoring.

WHAT IS KNOWN AND OBJECTIVE: Carbapenem-resistant Gram-negative bacterial pathogens continue to threaten public health. Avibactam (AVI), a novel non-ß-lactam ß-lactamase inhibitor, has been approved for use with ceftazidime (CAZ) mainly against carbapenem-resistant Enterobacteriaceae. Therapeutic drug monitoring (TDM) is urgently needed to optimize dosage regimens to maximize efficacy, minimize toxicity, and delay the emergence of resistance. This study aims to develop and validate a rapid, simple, and economical LC-MS/MS method for simultaneous determination of CAZ/AVI in human plasma. METHODS: Samples were processed by simple protein precipitation, and gradient elution strategy was applied to separate CAZ and AVI on a reverse-phase C18 column; with subsequent detection by the mass spectrometer in a positive and negative ion switching mode. Plasma samples from patients were analysed. RESULTS AND DISCUSSION: A 4-min run of LC-MS/MS was developed. The precision, trueness, matrix effect, extraction recovery, carry-over, dilution integrity, and stability were all acceptable for a bioanalytical method. The method was successfully applied to the determination of CAZ and AVI in patients, and a considerable PK variability of CAZ/AVI was observed among patients. WHAT IS NEW AND CONCLUSION: A robust, rapid, simple, and economical LC-MS/MS method for the simultaneous determination of CAZ and AVI was developed. The considerable PK variability of CAZ/AVI among patients demonstrates the clinical significance of TDM.

The association between proton pump inhibitor use and systemic anti-tumour therapy on survival outcomes in patients with advanced non-small cell lung cancer: A systematic review and meta-analysis.

AIMS: Proton pump inhibitors (PPIs) are often prescribed to prevent or treat gastrointestinal disease. Whether the combination of systemic anti-tumour therapy and PPIs leads to poor outcomes in patients with advanced non-small cell lung cancer (NSCLC) is unclear. This systematic review explored the relationship between PPIs and survival outcomes of patients with advanced NSCLC who are receiving systemic anti-tumour therapy. METHODS: We searched studies reporting the overall survival (OS) and/or progression-free survival (PFS) of advanced NSCLC patients who are receiving systemic anti-tumour therapy with or without PPIs on PubMed, EMBASE and the Cochrane Library for literature published prior to 31 August 2021. The meta-analysis used a random effects model to estimate the hazard ratio (HR) with 95% confidence intervals (CI) and I2 to assess statistical heterogeneity. Publication bias and sensitivity analysis were performed. RESULTS: Fourteen retrospective studies comprising 13 709 advanced NSCLC patients were identified. Subgroup analyses showed that the use of PPI was correlated with the OS or PFS of patients receiving chemotherapy, targeted therapy, and immunotherapy (PPI users' group vs non-users' group: HR for OS = 1.35, 95% CI = 1.21-1.51, P < .00001; HR for PFS = 1.50, 95% CI = 1.25-1.80, P < .0001). Publication bias and sensitivity analyses confirmed that the results were robust. CONCLUSION: Meta-analysis demonstrated that PPI use in advanced NSCLC patients who were undergoing systemic anti-tumour therapy was correlated with increased mortality risk. Until results are further confirmed, caution should be applied when administering PPIs and systemic anti-tumour therapy to advanced NSCLC patients.

Gelsemium elegans Benth: Chemical Components, Pharmacological Effects, and Toxicity Mechanisms.

Gelsemium elegans Benth (GEB), also known as heartbreak grass, is a highly poisonous plant belonging to the family Loganiaceae and genus Gelsemium that has broad application prospects in medicine. This article reviews its chemical components, pharmacological effects, toxicity mechanisms, and research progress in clinical applications in recent years. Indole alkaloids are the main active components of GEB and have a variety of pharmacological and biological functions. They have anti-tumor, anti-inflammatory, analgesic, and immunomodulation properties, with the therapeutic dose being close to the toxic dose. Application of small-dose indole alkaloids fails to work effectively, while high-dose usage is prone to poisoning, aggravating the patient's conditions. Special caution is needed, especially to observe the changes in the disease condition of the patients in clinical practice. In-depth research on the chemical components and mechanisms of GEB is essential to the development of promising lead compounds and lays the foundation for extensive clinical application and safe usage of GEB in the future.

A network pharmacology-based investigation on the bioactive ingredients and molecular mechanisms of Gelsemium elegans Benth against colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) remains one of the leading causes of cancer-related death worldwide. Gelsemium elegans Benth (GEB) is a traditional Chinese medicine commonly used for treatment for gastrointestinal cancer, including CRC. However, the underlying active ingredients and mechanism remain unknown. This study aims to explore the active components and the functional mechanisms of GEB in treating CRC by network pharmacology-based approaches. METHODS: Candidate compounds of GEB were collected from the Traditional Chinese Medicine@Taiwan, Traditional Chinese Medicines Integrated Database, Bioinformatics Analysis Tool for Molecular mechanism of Traditional Chinese Medicine, and published literature. Potentially active targets of compounds in GEB were retrieved from SwissTargetPrediction databases. Keywords "colorectal cancer", "rectal cancer" and "colon cancer" were used as keywords to search for related targets of CRC from the GeneCards database, then the overlapped targets of compounds and CRC were further intersected with CRC related genes from the TCGA database. The Cytoscape was applied to construct a graph of visualized compound-target and pathway networks. Protein-protein interaction networks were constructed by using STRING database. The DAVID tool was applied to carry out Gene Ontology and Kyoto Encyclopedia of Genes and Genome pathway enrichment analysis of final targets. Molecular docking was employed to validate the interaction between compounds and targets. AutoDockTools was used to construct docking grid box for each target. Docking and molecular dynamics simulation were performed by Autodock Vina and Gromacs software, respectively. RESULTS: Fifty-three bioactive compounds were successfully identified, corresponding to 136 targets that were screened out for the treatment of CRC. Functional enrichment analysis suggested that GEB exerted its pharmacological effects against CRC via modulating multiple pathways, such as pathways in cancer, cell cycle, and colorectal cancer. Molecular docking analysis showed that the representative compounds had good affinity with the key targets. Molecular dynamics simulation indicated that the best hit molecules formed a stable protein-ligand complex. CONCLUSION: This network pharmacology study revealed the multiple ingredients, targets, and pathways synergistically involved in the anti-CRC effect of GEB, which will enhance our understanding of the potential molecular mechanism of GEB in treatment for CRC and lay a foundation for further experimental research.

Genetic factors involved in delayed methotrexate elimination in children with acute lymphoblastic leukemia.

BACKGROUND: Delayed excretion of methotrexate can lead to life-threatening toxicity that may result in treatment cessation, irreversible organ damage, and death. Various factors have been demonstrated to influence the pharmacokinetic process of methotrexate, including genetic and nongenetic factors. METHODS: We investigated the genetic factors primarily related to the metabolic pathway of methotrexate in children with acute lymphoblastic leukemia with delayed elimination, defined as C44-48h ≥ 1.0µmol/L in this study. A total of 196 patients (delayed excretion group: 98; normal excretion group: 98) who received CCCG-ALL-2015 protocol after propensity score-matched analysis were included in the study. Twenty-eight target single-nucleotide polymorphisms (SNPs) were analyzed by multiplex polymerase chain reaction and sequencing, and 25 SNPs were finally included in the study. RESULTS: The genotype distribution of SLCO1B1 rs2306283 SNP was different between the delayed and normal excretion groups. SLCO1B1 rs2306283 AA carriers had a significantly lower methotrexate C44-48h /D ratio than GG carriers in both groups. Furthermore, compared with the normal excretion group, SLCO1B1 rs2306283 AG and GG were risk factors for developing oral mucositis (odds ratio [OR]: 2.13; 95% confidence interval [CI]: 1.11-4.08; P < .001), hepatotoxicity (OR: 2.12; 95% CI: 1.26-3.56; P < .001), and myelosuppression (OR: 1.21; 95% CI: 1.04-1.41; P = .005) in delayed excretion group. CONCLUSIONS: The results from this study indicate the potential role of SLCO1B1 rs2306283 as a pharmacogenomic marker to guide and optimize methotrexate treatment for delayed elimination in children with acute lymphoblastic leukemia.

Molecular Mechanism of Gelsemium elegans (Gardner and Champ.) Benth. Against Neuropathic Pain Based on Network Pharmacology and Experimental Evidence.

Gelsemium elegans (Gardner and Champ.) Benth. (Gelsemiaceae) (GEB) is a toxic plant indigenous to Southeast Asia especially China, and has long been used as Chinese folk medicine for the treatment of various types of pain, including neuropathic pain (NPP). Nevertheless, limited data are available on the understanding of the interactions between ingredients-targets-pathways. The present study integrated network pharmacology and experimental evidence to decipher molecular mechanisms of GEB against NPP. The candidate ingredients of GEB were collected from the published literature and online databases. Potentially active targets of GEB were predicted using the SwissTargetPrediction database. NPP-associated targets were retrieved from GeneCards, Therapeutic Target database, and DrugBank. Then the protein-protein interaction network was constructed. The DAVID database was applied to Gene Ontology and Kyoto Encyclopedia of Genes and Genome pathway enrichment analysis. Molecular docking was employed to validate the interaction between ingredients and targets. Subsequently, a 50 ns molecular dynamics simulation was performed to analyze the conformational stability of the protein-ligand complex. Furthermore, the potential anti-NPP mechanisms of GEB were evaluated in the rat chronic constriction injury model. A total of 47 alkaloids and 52 core targets were successfully identified for GEB in the treatment of NPP. Functional enrichment analysis showed that GEB was mainly involved in phosphorylation reactions and nitric oxide synthesis processes. It also participated in 73 pathways in the pathogenesis of NPP, including the neuroactive ligand-receptor interaction signaling pathway, calcium signaling pathway, and MAPK signaling pathway. Interestingly, 11-Hydroxyrankinidin well matched the active pockets of crucial targets, such as EGFR, JAK1, and AKT1. The 11-hydroxyrankinidin-EGFR complex was stable throughout the entire molecular dynamics simulation. Besides, the expression of EGFR and JAK1 could be regulated by koumine to achieve the anti-NPP action. These findings revealed the complex network relationship of GEB in the "multi-ingredient, multi-target, multi-pathway" mode, and explained the synergistic regulatory effect of each complex ingredient of GEB based on the holistic view of traditional Chinese medicine. The present study would provide a scientific approach and strategy for further studies of GEB in the treatment of NPP in the future.

Systematic evaluation of therapeutic effects of stem cell transplantation trials for heart diseases in China.

BACKGROUND: To systematically assess the quality of reports of clinical trials of stem cell for heart diseases published in Chinese. METHODS: The quality of reports was assessed according to the CONSORT statement and the Jadad score. The association between the CONSORT scores and the reported therapeutic effects was evaluated. RESULTS: A total of 36 randomized clinical trials were identified, and 1552 patients were included. The mean CONSORT score was 7.06 (SD = 2.99). The proportion of reports with a Jadad score of 3 was 8.33%. The improvement of left ventricular function, myocardial perfusion area, left ventricular diastolic diameter, and cardiac output decreased with the increase in the CONSORT score. CONCLUSIONS: The percentages of high-quality reports published in Chinese on stem cell therapy for heart diseases are low. Although stem cell transplantation seems promising for heart diseases, high-quality studies are needed to verify the conclusions．.

The Effect Of Food On The Pharmacokinetic Properties And Bioequivalence Of Two Formulations Of Levocetirizine Dihydrochloride In Healthy Chinese Volunteers.

PURPOSE: The aim of this study is to assess the bioequivalence of a new generic formulation and the branded formulation of levocetirizine dihydrochloride in healthy Chinese volunteers under fasting and fed conditions, and food-intake effect on the pharmacokinetic properties is also evaluated. PATIENTS AND METHODS: Volunteers were randomly allocated into two groups to receive a single oral dose of generic formulation and branded formulation under fasting or fed conditions, respectively. Blood samples were collected at designated time points. Plasma concentrations of levocetirizine were determined by UFLC-MS/MS. Safety evaluations were carried out through the study. The main pharmacokinetic parameters of the two formulations of levocetirizine were calculated using non-compartmental analysis incorporated in WinNonlin® 7.0 software. RESULTS: Forty-nine volunteers were enrolled; 46 completed the studies. Under fasting and fed conditions, the 90% confidence intervals for the geometric mean of generic/branded ratios were in the range of 94.75-107.24% and 99.98-114.69% for the maximum observed concentration, and 97.13-102.50% and 98.36-103.98% for the area under the concentration-time curve. As a result of food intake before administration, the reduced rate and extent of absorption of levocetirizine were observed. Both formulations were generally well tolerated, with no serious adverse reactions reported. CONCLUSION: The two formulations demonstrated essentially identical pharmacokinetic profiles and were all well within the FDA/CFDA bioequivalence standards. Meanwhile, food intake can delay the absorption rate and reduced the bioavailability of levocetirizine in healthy Chinese volunteers.

Paclitaxel, 5-fluorouracil, and leucovorin combination chemotherapy as first-line treatment in patients with advanced gastric cancer.

The aim of this retrospective analysis was to evaluate the efficacy and toxicity of combination chemotherapy with paclitaxel, 5-fluorouracil, and leucovorin (TFL) as first-line treatment in patients with advanced gastric cancer (AGC). One hundred and thirteen patients were enrolled in the study who were confirmed to have AGC by histopathology. These patients were treated with TFL: paclitaxel at a dose of 135 mg/m as a 3-h intravenous infusion on day 1, LV 400 mg/m as an intravenous infusion over 2 h on day 1, followed by 5-fluorouracil 2400 mg/m as an infusion over a 46-h period on 3 consecutive days. Cycles were repeated every 2 weeks. A total of 113 patients were assessed for their response to therapy. A total of three patients achieved complete responses and 46 patients achieved partial responses, yielding an overall objective response rate of 43.4% [95% confidence interval (CI): 34.3-52.5%]. Fifty-four cases of stable disease and 10 cases of progressive disease were observed in the remaining patients. The median time to progression and overall survival were 5.2 months (95% CI: 4.7-5.8 months) and 14.1 months (95% CI: 12.5-15.8 months), respectively. Toxicities were tolerable and moderate. The most common grade 3-4 toxicities included leukopenia (16.8%), neutropenia (17.7%), anemia (8.0%), thrombocytopenia (5.3%), and fatigue (6.2%). Combination chemotherapy with TFL offers an active and safe therapeutic approach for patients with AGC.

PTEN in kidney cancer: A review and meta-analysis.

BACKGROUND: Kidney cancer is one of the most common cancers in the USA causing 14,400 deaths per year. The phosphatase and tensin homolog (PTEN) has been extensively documented as a tumor suppresser gene in cancer. However, there is unclear evidence for its clinicopathological and prognostic role in kidney cancer. METHODS: A systematic review of literature assessing PTEN expression and clinical outcome in patients with kidney cancer. Web of Science, PubMed, Embase, and Chinese databases were searched for collecting for the eligible studies providing sufficient information. Pooled odds ratios (ORs) and hazard ratios (HRs) were respectively used to evaluate the association between PTEN levels and the clinicopathological features and clinical outcomes. RESULTS: A total of 35 studies enrolling 4532 patients were finally included in this study. For the survival outcome, the result suggested that shorter overall survival (OS) was correlated with low PTEN expression (HR = 0.57, 95% CIs: 0.45-0.74, P < 0.0001). The meta-analysis indicated a significantly increased risk of tumorigenesis in the PTEN low-level group relative to the control group (OR = 0.098, 95% CIs: 0.067-0.143, P < 0.001). Moreover, the results displayed the positive correlation between poorer differentiation (OR = 0.234, 95% CIs: 0.133-0.410, P < 0.001), distant metastasis (OR = 0.179, 95% CIs: 0.092-0.350, P = 0.001), lymph node metastasis (OR = 0.252, 95% CIs: 0.113-0.563, P < 0.001), advanced clinical stages (OR = 0.233, 95% CI: 0.133, 0.406, P < 0.001) and low PTEN expression. Finally, there was no obvious publication bias found in the meta-analysis. CONCLUSIONS: Decreased PTEN was associated with poorer survival outcomes of patients with kidney cancer and PTEN acts as a tumor suppressor in tumorigeneses and progression in kidney cancer.