Association of CCND1 rs9344 polymorphism with lung cancer susceptibility and clinical outcomes: a case-control study.

BACKGROUND: Cyclin D1 (CCND1) plays a pivotal role in cancer susceptibility and the platinum-based chemotherapy response. This study aims to assess the relationship between a common polymorphism (rs9344 G > A) in CCND1 gene with cancer susceptibility, platinum-based chemotherapy response, toxicities and prognosis of patients with lung cancer. METHODS: This study involved 498 lung cancer patients and 213 healthy controls. Among them, 467 patients received at least two cycles of platinum-based chemotherapy. Unconditional logistical regression analysis and meta-analysis were performed to evaluate the associations. RESULTS: The lung adenocarcinoma risk was significantly higher in patients with AA than GG + GA genotype (adjusted OR = 1.755, 95%CI = 1.057-2.912, P = 0.030). CCND1 rs9344 was significantly correlated with platinum-based therapy response in patients receiving PP regimen (additive model: adjusted OR = 1.926, 95%CI = 1.029-3.605, P = 0.040; recessive model: adjusted OR = 11.340, 95%CI = 1.428-90.100, P = 0.022) and in the ADC subgroups (recessive model: adjusted OR = 3.345, 95%CI = 1.276-8.765, P = 0.014). Furthermore, an increased risk of overall toxicity was found in NSCLC patients (additive model: adjusted OR = 1.395, 95%CI = 1.025-1.897, P = 0.034; recessive model: adjusted OR = 1.852, 95%CI = 1.088-3.152, P = 0.023), especially ADC subgroups (additive model: adjusted OR = 1.547, 95%CI = 1.015-2.359, P = 0.043; recessive model: adjusted OR = 2.030, 95%CI = 1.017-4.052, P = 0.045). Additionally, CCND1 rs9344 was associated with an increased risk of gastrointestinal toxicity in non-smokers (recessive model: adjusted OR = 2.620, 95%CI = 1.083-6.336, P = 0.035). Non-significant differences were observed in the 5-year overall survival rate between CCND1 rs9344 genotypes. A meta-analysis of 5432 cases and 6452 control samples did not find a significant association between lung cancer risk and CCND1 rs9344 polymorphism. CONCLUSION: This study suggests that in the Chinese population, CCND1 rs9344 could potentially serve as a candidate biomarker for cancer susceptibility and treatment outcomes in specific subgroups of patients.

Clinical efficacy of ceftazidime/avibactam combination therapy for severe hospital-acquired pulmonary infections caused by carbapenem-resistant and difficult-to-treat Pseudomonas aeruginosa.

OBJECTIVES: This retrospective study aimed to identify the effectiveness of ceftazidime/avibactam (CAZ/AVI) and its optimisation programs for severe hospital-acquired pulmonary infections (sHAPi) caused by carbapenem-resistant and difficult-to-treat Pseudomonas aeruginosa (CRPA and DTR-P. aeruginosa). METHODS: We retrospectively analysed observational data on treatment and outcomes of CAZ/AVI for sHAPi caused by CRPA or DTR-P. aeruginosa. The primary study outcomes were to evaluate the clinical and microbiology efficacy of CAZ/AVI. RESULTS: The cohort consisted of 84 in-patients with sHAPi caused by CRPA (n = 39) and DTR-P. aeruginosa (n = 45) who received at least 72 h of CAZ/AVI therapy. The clinical cure rate was 63.1% in total. There was no significant difference in study outcomes between patients treated with CAZ/AVI monotherapy and those managed with combination regimens. CAZ/AVI as first-line therapy possessed prominent clinical benefits regarding infections caused by DTR-P. aeruginosa. The clinical cure rate was positively relevant with loading dose for CAZ/AVI (odds ratio [OR] 0.03; 95% confidence interval [CI] 0.004-0.19; P < 0.001) and with CAZ/AVI administration by prolonged infusion (odds ratio 0.15; 95% confidence interval 0.03-0.77; P = 0.002). APACHE II score>15 (P = 0.013), septic shock at infection onset (P = 0.001), and CAZ/AVI dose adjustment for renal dysfunction (P = 0.003) were negative predictors of clinical cure. CONCLUSION: CAZ/AVI is a valid alternative for sHAPi caused by CPRA and DTR-P. aeruginosa, even when used alone. Optimisations of the treatment with CAZ/AVI in critically ill patients, including loading dose, adequate maintenance dose and prolonged infusion, were positively associated with potential clinical benefits.

A novel model to predict the risk of hematological toxicity in lung adenocarcinoma patients with pemetrexed plus platinum chemotherapy based on real-world data.

BACKGROUND: Pemetrexed plus platinum chemotherapy is the first-line treatment option for lung adenocarcinoma. However, hematological toxicity is major dose-limiting and even life-threatening. The ability to anticipate hematological toxicity is of great value for identifying potential chemotherapy beneficiaries with minimal toxicity and optimizing treatment. The study aimed to develop and validate a prediction model for hematologic toxicity based on real-world data. METHODS: Data from 1754 lung adenocarcinoma patients with pemetrexed plus platinum chemotherapy regimen as first-line therapy were used to establish and calibrate a risk model for hematological toxicity using multivariate and stepwise logistic regression analysis based on real-world data. The predictive performance of the model was tested in a validation cohort of 753 patients. An area under the curve (AUC) of the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis were used to assess the prediction model. RESULTS: 5 independent factors (platinum, pre-use vitamin B12, cycle of chemotherapy before hematological toxicity, Hb before first chemotherapy, and PLT before first chemotherapy) identified from multivariate and stepwise logistic regression analysis were included in the prediction model. The hematological toxicity prediction model achieved a sensitivity of 0.840 and a specificity of 0.822. The model showed good discrimination in both cohorts (an AUC of 0.904 and 0.902 for the derivation and validation cohort ROC) at the cut-off value of 0.591. The calibration curve showed good agreement between the actual observations and the predicted results. CONCLUSION: We developed a prediction model for hematologic toxicity with good discrimination and calibration capability in lung adenocarcinoma patients receiving a pemetrexed plus platinum chemotherapy regimen based on real-world data.

Anti-angiogenic therapy in ovarian cancer: Current understandings and prospects of precision medicine.

Ovarian cancer (OC) remains the most fatal disease of gynecologic malignant tumors. Angiogenesis refers to the development of new vessels from pre-existing ones, which is responsible for supplying nutrients and removing metabolic waste. Although not yet completely understood, tumor vascularization is orchestrated by multiple secreted factors and signaling pathways. The most central proangiogenic signal, vascular endothelial growth factor (VEGF)/VEGFR signaling, is also the primary target of initial clinical anti-angiogenic effort. However, the efficiency of therapy has so far been modest due to the low response rate and rapidly emerging acquiring resistance. This review focused on the current understanding of the in-depth mechanisms of tumor angiogenesis, together with the newest reports of clinical trial outcomes and resistance mechanism of anti-angiogenic agents in OC. We also emphatically summarized and analyzed previously reported biomarkers and predictive models to describe the prospect of precision therapy of anti-angiogenic drugs in OC.

Modulating the Biomimetic and Fluorescence Quenching Activities of Metal-Organic Framework/Platinum Nanoparticle Composites and Their Applications in Molecular Biosensing.

Nanoscale metal-organic frameworks (nMOFs) have gained considerable attention with significant potential applications. Although great efforts have been devoted to designing and fabricating nanoscaffold structures, approaches of deliberately regulating the intrinsic functionality of nMOFs have been poorly explored. Herein, we report a simple and novel strategy to regulate the catalytic and fluorescence quenching behaviors of nMOFs through coordination-driven self-assembly. As a proof-of-concept, we synthesized a synergistic and stable MOF-metal nanocomposite by loading platinum nanoparticles (PtNPs) on a commonly used Fe-MOF, i.e., MIL-88B-NH2/Pt, as a MOF composite model for exploration. On one hand, the complexation with ATP effectively broke the pH limitation of the peroxidase-mimicking MIL-88B-NH2/Pt nanozyme, bringing a 10-fold increased catalytic activity under alkaline condition. Based on the distinct catalytic enhancement between ATP and other nucleotides, real-time monitoring of apyrase activity as well as colorimetric detection of alkaline phosphatase (ALP) was performed. On the other hand, interactions of MIL-88B-NH2/Pt with fluorescent DNA were tolerant of different nucleic acids and, more importantly, were further manipulated by inorganic molecules. As a result, H2O2 could only trigger the release of a G-rich sequence, while phosphates could readily induce desorption of various DNA molecules with varying lengths, sequences, and fluorescent dyes. Accordingly, fluorescent DNA and MIL-88B-NH2/Pt as functional probe-quencher pairs were proposed, allowing the establishment of a fluorescence bioassay for ALP and PPase detection and Boolean logic calculations. This work offers a means to tune the intrinsic activities of nMOFs by surface engineering, benefiting design of functional nanomaterials and development of advanced biosensing systems.

Prediction of response and adverse drug reaction of pemetrexed plus platinum-based chemotherapy in lung adenocarcinoma by serum metabolomic profiling.

BACKGROUND: Pemetrexed plus platinum doublet chemotherapy regimen remains to be the standard first-line treatment for lung adenocarcinoma patients. However, few biomarkers can be used to identify potential beneficiaries with maximal efficacy and minimal toxicity. This study aimed to explore potential biomarker models predictive of efficacy and toxicity after pemetrexed plus platinum chemotherapy based on metabolomics profiling. METHODS: A total of 144 patients who received at least two cycles of pemetrexed plus platinum chemotherapy were enroled in the study. Serum samples were collected before initial treatment to perform metabolomics profiling analysis. Logistic regression analysis was performed to establish prediction models. RESULTS: 157 metabolites were found to be differentially expressed between the response group and the nonresponse group. A panel of Phosphatidylserine 20:4/20:1, Sphingomyelin d18:1/18:0, and Phosphatidic Acid 18:1/20:0 could predict pemetrexed and platinum chemotherapy response with an Area Under the Receiver Operating Characteristic curve (AUROC) of 0.7968. 76 metabolites were associated with hematological toxicity of pemetrexed plus platinum chemotherapy. A panel incorporating triglyceride 14:0/22:3/22:5, 3-(3-Hydroxyphenyl) Propionate Acid, and Carnitine C18:0 was the best predictive ability of hematological toxicity with an AUROC of 0.7954. 54 differential expressed metabolites were found to be associated with hepatotoxicity of pemetrexed plus platinum chemotherapy. A model incorporating stearidonic acid, Thromboxane B3, l-Homocitrulline, and phosphoinositide 20:3/18:0 showed the best predictive ability of hepatotoxicity with an AUROC of 0.8186. CONCLUSIONS: This study established effective and convenient models that can predict the efficacy and toxicity of pemetrexed plus platinum chemotherapy in lung adenocarcinoma patients before treatment delivery.

Genetic and Clinical Factors Associated with Opioid Response in Chinese Han Patients with Cancer Pain: An Exploratory Cross-Sectional Study.

INTRODUCTION: Studies have shown that genetic variation and environmental factors are associated with individual differences in therapeutic efficacy and side effects of opioids. However, the focus of these studies has been on a single factor of single-nucleotide polymorphisms (SNPs) or haplotypes, for which results have rarely been validated. For complex traits, such as cancer pain and opioid response, interactions between multiple genetic variation and environmental factors need to be considered to explain the opioid individual differences. METHODS: We conducted an exploratory two-stage cross-sectional study with 1027 Chinese patients who were taking strong opioid medications for their cancer pain, and genotyped 110 SNPs to explore the association of SNPs, haplotypes, gene-gene and gene-environment interactions with opioid dose, pain relief, and opioid-induced constipation. RESULTS: Due to the failure to meet Benjamini-Hochberg criteria in the discovery stage or to be validated in replication stage, no association was found between SNPs, haplotypes, paired SNP-SNP interactions or multi-dimensional gene-gene interactions and opioid response. However, for gene-environment interactions, optimal models have been constructed in all phenotypes of opioid response. CONCLUSIONS: This study reveals for the first time that construction of multidimensional gene-environment interactions enables better interpretations of the effect of genetic variation and environmental factors on the opioid response in patients with cancer pain. TRIAL REGISTRATION: Chictr.org.cn, identifier, ChiCTR2000033576.

A novel immune-related ceRNA network that predicts prognosis and immunotherapy response in lung adenocarcinoma.

BACKGROUND: The tumor microenvironment plays an important role in the progression and malignancy of lung adenocarcinoma and affects the immunotherapy response. There is increasing evidence that long non-coding RNAs (lncRNAs) as competing endogenous RNAs (ceRNAs) have significant functions in the development and treatment response of various kinds of cancer. This study aimed to explore the association between immune-related lncRNA-microRNA (miRNA)-messenger RNA (mRNA)-ceRNA networks, and the prognosis of and immunotherapy response in lung adenocarcinoma. METHODS: RNA-sequencing (RNA-seq) and miRNA-seq data from The Cancer Genome Atlas (TCGA) were used to evaluate the infiltration of immune cells in lung adenocarcinoma samples by undertaking a single-sample gene set enrichment analysis (ssGSEA) to divide the cells into high and low immune cell infiltration groups. The differentially expressed mRNA (DEmRNA) was further analyzed by a weighted gene co-expression network analysis (WGCNA), search tool for recurring instances of neighboring genes (STRING), and Cytoscape to select hub genes. The ceRNA network was constructed using Cytoscape. Additionally, survival analyses were conducted to screen out prognostic candidate genes. RESULTS: Seven thousand five hundred and thirty-eight mRNAs, 540 lncRNAs, and 138 miRNAs were found to be differentially expressed between the high and low immune cell infiltration groups. The two DEmRNA modules most significantly associated with immune cell infiltration were further analyzed, and four clusters, including 179 DEmRNAs, were selected based on Molecular Complex Detection (MCODE) scores. The selected DEmRNAs in the four clusters were mainly enriched in pathways involved in regulating the immune response. Ultimately, a ceRNA network of SNHG6-hsa-miR-30e-5p-CYSLTR1 was identified as being associated with the prognosis of and immunotherapy response in lung adenocarcinoma. CONCLUSIONS: The present study extends understandings of immune-related lncRNA-miRNA-mRNA-ceRNA networks and identifies novel targets and a regulatory pathway for anti-tumor immunotherapy.

Precise pathological classification of non-small cell lung adenocarcinoma and squamous carcinoma based on an integrated platform of targeted metabolome and lipidome.

BACKGROUND: Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related death worldwide. Lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) are the most common subtypes of NSCLC. Despite genetic differences between LUAD and LUSC have been clarified in depth, the metabolic differences of these two subtypes are still unclear. METHODS: Totally, 128 plasma samples of NSCLC patients were collected before initial treatments, followed by determination of LC-ESI-Q TRAP-MS/MS. Differentially expressed metabolites were screened based on a strict standard. RESULTS: Based on the integrated platform of targeted metabolome and lipidome, a total of 1141 endogenous metabolites (including 809 lipids) were finally detected in the plasma of NSCLC patients, including 16 increased and 3 decreased endogenous compounds in LUAD group when compared with LUSC group. Thereafter, a logistic regression model integrating four differential metabolites [2-(Methylthio) ethanol, Cortisol, D-Glyceric Acid, and N-Acetylhistamine] was established and could accurately differentiate LUAD and LUSC with an area under the ROC curve of 0.946 (95% CI 0.886-1.000). The cut-off value showed a satisfactory efficacy with 92.0% sensitivity and 92.9% specificity. KEGG functional enrichment analysis showed these differentially expressed metabolites could be further enriched in riboflavin metabolism, steroid hormone biosynthesis, prostate cancer, etc. The endogenous metabolites identified in this study have the potential to be used as novel biomarkers to distinguish LUAD from LUSC. CONCLUSIONS: Our research might provide more evidence for exploring the pathogenesis and differentiation of NSCLC. This research could promote a deeper understanding and precise treatment of lung cancer.

Resistin increases cisplatin-induced cytotoxicity in lung adenocarcinoma A549 cells via a mitochondria-mediated pathway.

Lung cancer is the most commonly diagnosed cancer with a high mortality rate. Cisplatin is one of the most important chemotherapeutic agents for the treatment of lung cancer patients, especially in advanced stages. Recent studies show that cisplatin may interact with mitochondria to induce apoptosis, which may partly account for its cytotoxicity. In the study, we explored the effect of resistin on cisplatin-induced cytotoxicity in A549 cells and assessed whether mitochondria-dependent apoptosis was involved. Our results found that 25 ng/ml resistin could significantly increase cisplatin-induced apoptosis and G2/M phase arrest, enhance reactive oxygen species generation, exacerbate the collapse of mitochondrial membrane potential, promote the distribution of cytochrome C in the cytoplasm from mitochondria, and activate caspase 3. Therefore, the results suggested that resistin might increase cisplatin-induced cytotoxicity via a mitochondria-mediated pathway in A549 cells. However, the precise mechanism remains to be explored in the future.

A retrospective analysis of clinical efficacy of ribavirin in adults hospitalized with severe COVID-19.

INTRODUCTION: Coronavirus disease-2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) swept rapidly throughout the world. So far, no therapeutics have yet proven to be effective. Ribavirin was recommended for the treatment of COVID-19 in China because of its in vitro activity. However, evidence supporting its clinical use with good efficacy is still lacking. METHODS: A total of 208 confirmed severe COVID-19 patients who were hospitalized in Wuhan Union West Campus between 1 February 2020 and 10 March 2020 were enrolled in the retrospective study. Patients were divided into two groups based on the use of ribavirin. The primary endpoint was the time to clinical improvement. The secondary endpoints included mortality, survival time, time to throat swab SARS-CoV-2 nucleic acid negative conversion, and the length of hospital stay. RESULTS: 68 patients were treated with ribavirin while 140 not. There were no significant between-group differences in demographic characteristics, baseline laboratory test results, treatment, and distribution of ordinal scale scores at enrollment, except for coexisting diseases especially cancer (ribavirin group vs no ribavirin group, P = 0.01). Treatment with ribavirin was not associated with a difference in the time to clinical improvement (P = 0.48, HR = 0.88, 95% CI = 0.63-1.25). There were also no significant differences between-group in SARS-CoV-2 nucleic acid negative conversion, mortality, survival time, and the length of hospital stay. CONCLUSIONS: In hospitalized adult patients with severe COVID-19, no significant benefit was observed with ribavirin treatment.

Application of Population Pharmacokinetic Analysis to Characterize CYP2C19 Mediated Metabolic Mechanism of Voriconazole and Support Dose Optimization.

Purpose: The aims of this study were to establish a joint population pharmacokinetic model for voriconazole and its N-oxide metabolite in immunocompromised patients, to determine the extent to which the CYP2C19 genetic polymorphisms influenced the pharmacokinetic parameters, and to evaluate and optimize the dosing regimens using a simulating approach. Methods: A population pharmacokinetic analysis was conducted using the Phoenix NLME software based on 427 plasma concentrations from 78 patients receiving multiple oral doses of voriconazole (200 mg twice daily). The final model was assessed by goodness of fit plots, non-parametric bootstrap method, and visual predictive check. Monte Carlo simulations were carried out to evaluate and optimize the dosing regimens. Results: A one-compartment model with first-order absorption and mixed linear and concentration-dependent-nonlinear elimination fitted well to concentration-time profile of voriconazole, while one-compartment model with first-order elimination well described the disposition of voriconazole N-oxide. Covariate analysis indicated that voriconazole pharmacokinetics was substantially influenced by the CYP2C19 genetic variations. Simulations showed that the recommended maintenance dose regimen would lead to subtherapeutic levels in patients with different CYP2C19 genotypes, and elevated daily doses of voriconazole might be required to attain the therapeutic range. Conclusions: The joint population pharmacokinetic model successfully characterized the pharmacokinetics of voriconazole and its N-oxide metabolite in immunocompromised patients. The proposed maintenance dose regimens could provide a rationale for dosage individualization to improve clinical outcomes and minimize drug-related toxicities.

STAT3 rs4796793 contributes to lung cancer risk and clinical outcomes of platinum-based chemotherapy.

BACKGROUND: Signal transducer and activator of transcription (STAT) 3 plays a vital role in carcinogenesis and drug response. Platinum-based chemotherapy is the first-line treatment for lung cancer patients, especially those in advanced stages. In the present study, we investigated the association of STAT3 polymorphism rs4796793 with lung cancer susceptibility, platinum-based chemotherapy response, and toxicity. METHODS: A total of 498 lung cancer patients and 213 healthy controls were enrolled in the study. 467 of them received at least 2-cycle platinum-based chemotherapy. Unconditional logistical regression analysis was used to assess the associations. RESULTS: STAT3 rs4769793 G allele carriers had an increased susceptibility of lung cancer [additive model: adjusted OR (95% CI) 1.376 (1.058-1.789), P = 0.017; recessive model: adjusted OR (95% CI) 1.734 (1.007-2.985), P = 0.047]. Rs4769793 was not significantly associated with platinum-based chemotherapy response in lung cancer patients. STAT3 rs4796793 was associated with an increased risk of severe overall toxicity [additive model: adjusted OR (95% CI) 1.410 (1.076-1.850), P = 0.013; dominant model: adjusted OR (95% CI) 1.638 (1.091-2.459), P = 0.017], especially hematological toxicity [additive model: adjusted OR (95% CI) 1.352 (1.001-1.826), P = 0.049]. CONCLUSIONS: STAT3 rs4796793 may be considered as a potential candidate biomarker for the prediction of susceptibility and prognosis in Chinese lung cancer patients. However, well-designed studies with larger sample sizes are required to verify the results.

Resistin facilitates metastasis of lung adenocarcinoma through the TLR4/Src/EGFR/PI3K/NF-κB pathway.

Metastasis is the main cause of lung cancer-related death. The tumor microenvironment greatly contributes to tumor metastasis. Resistin, mainly secreted by tumor-associated macrophages in tumor tissues, is a 12.5-kDa cysteine-rich secretory protein that is found at significantly higher levels in the serum or plasma of cancer patients compared with healthy controls. In this study, we explored the expression and role of resistin in lung adenocarcinoma. Our study showed that resistin was strongly expressed in lung adenocarcinoma tissues and promoted the migration and invasion of lung adenocarcinoma cells in a dose-dependent manner. Toll-like receptor 4 (TLR4) was the functional receptor of resistin for migration and invasion in A549 cells. Src/epidermal growth factor receptor (EGFR) was involved in resistin-induced migration and invasion. Resistin increased the phosphorylation of EGFR through the TLR4/Src pathway. We also found that PI3K/nuclear factor (NF)-κB were the intracellular downstream effectors mediating resistin-induced migration and invasion. Taken together, our results suggested that resistin promoted lung adenocarcinoma metastasis through the TLR4/Src/EGFR/PI3K/NF-κB pathway.

Gene-gene and gene-environment interactions influence platinum-based chemotherapy response and toxicity in non-small cell lung cancer patients.

Platinum-based chemotherapy is a major therapeutic regimen of lung cancer. Various single nucleotide polymorphisms (SNPs) reported were associated with platinum-based chemotherapy response and drug toxicity. However, neither of the studies explored this association from SNP-SNP interaction perspective nor taking into effects of SNP-environment consideration simultaneously. We genotyped 504 polymorphisms and explore the association of gene-gene and gene-environment interactions with platinum-based chemotherapy response and toxicity in 490 NSCLC patients. 16 SNPs were found significantly associated with platinum-based chemotherapy, and they were picked out as study object in the validation cohort. We recruited 788 patients in the validation cohort. We found that HSPD1 rs17730989-SUMF1 rs2633851 interaction was associated with platinum-based chemotherapy-induced hematologic toxicity (adjusted OR = 0.233, P = 0.018). In addition, the combined effect of ABCG2 rs2231142-CES5A rs3859104 was significantly associated with overall toxicity (adjusted OR = 8.044, P = 4.350 × 10-5). Besides, the model of ARHGAP26 rs3776332-ERCC6 rs2228528-SLC2A1 rs4658-histology was associated with platinum-based chemotherapeutic response. Gene-gene and gene-environment interactions have been identified to contribute to chemotherapy sensitivity and toxicity. They can potentially predict drug response and toxicity of platinum-based chemotherapy in NSCLC patients.

Association between well-characterized lung cancer lncRNA polymorphisms and platinum-based chemotherapy toxicity in Chinese patients with lung cancer.

Platinum-based chemotherapy is the standard first-line treatment for most lung cancer patients. However, the toxicity induced by platinum-based chemotherapy greatly impedes its clinical use. Previous studies showed that long non-coding RNAs (lncRNAs) with over 200 nucleotides in length affect drug response and toxicity. In the present study, we investigated the association of well-characterized lung cancer lncRNA polymorphisms with platinum-based chemotherapy toxicity in Chinese patients with lung cancer. A total of 467 lung cancer patients treated with platinum-based chemotherapy for at least two cycles were recruited. We primarily focused on gastrointestinal and hematological toxicities. A total of 14 potentially functional polymorphisms within 8 lncRNAs (HOTTIP, HOTAIT, H19, ANRIL, CCAT2, MALAT1, MEG3, and POLR2E) were genotyped. Unconditional logistical regression analysis was conducted to assess the associations. Gene-gene and gene-environment interactions were identified using the software generalized multifactor dimensionality reduction (GMDR). ANRIL rs1333049 was associated with severe overall toxicity in an additive model (adjusted OR=0.723, 95% CI=0.541-0.965, P=0.028). ANRIL rs1333049 was also associated with severe gastrointestinal toxicity in both the additive (adjusted OR=0.690, 95% CI=0.489-0.974, P=0.035) and dominant (adjusted OR=0.558, 95% CI=0.335-0.931, P=0.025) models. MEG3 rs116907618 was associated with severe gastrointestinal toxicity in an additive model (adjusted OR=1.717, 95% CI=1.007-2.927, P=0.047). GMDR identified the three-factor interaction model of POLR2E rs3787016-HOTTIP rs3807598-chemotherapy regimen as the best predictive model for hematological toxicity. In conclusion, ANRIL and MEG3 genetic polymorphisms are associated with severe platinum toxicity and could be considered as biomarkers for pretreatment evaluation in Chinese patients with lung cancer.

Age-related common miRNA polymorphism associated with severe toxicity in lung cancer patients treated with platinum-based chemotherapy.

Platinum-based chemotherapy toxicity severely impedes successful treatment in lung cancer patients. MicroRNAs (miRs) have a significant impact on the occurrence and survival rate of lung cancer. The purpose of this study was to investigate the association between common miRNA variants and platinum-based chemotherapy toxicity in lung cancer patients. A total of eight functional single nucleotide polymorphisms (SNPs) of miRNA were genotyped in 408 lung cancer patients by MALDI-TOF mass spectrometry. All the patients were histologically confirmed as lung cancer, and were treated with platinum-based chemotherapy for at least two cycles. It was found that the polymorphism rs2042553 of miR-5197 had a significant association with overall severe toxicity in both additive (P=.031, odds ratio [OR]=1.41, 95% confidence interval [CI] 1.03-1.93) and dominant (P=.009, OR=1.80, 95% CI 1.16-2.80) models. MiR-605 rs2043556 was significantly related to severe hepatotoxicity in dominant model (P=.022, OR=2.51, 95% CI 1.12-4.14). In addition, rs2910164 of miR-146a had marginal statistical effect on severe hepatotoxicity in additive model (P=.054). The subgroup analyses showed that miR-27a rs895819 was related to gastrointestinal toxicity in age >56 years old, smoking and non-smoking patients. Taken together, our results revealed that polymorphisms of miR-5197, miR-605, miR-146a, and miR-27a contributed to the chemotherapy toxicity of lung cancer, which may serve as a predictive tool for toxicity evaluation of platinum-based chemotherapy in lung cancer patients.

Circulating resistin levels and obesity-related cancer risk: A meta-analysis.

Resistin levels have been reported to be abnormal in obesity-related cancer patients with epidemiological studies yielding inconsistent results. Therefore, a meta-analysis was performed to assess the association between blood resistin levels and obesity-related cancer risk. A total of 13 studies were included for pooling ORs analysis. High resistin levels were found in cancer patients (OR= 1.20, 95% CI= 1.10-1.30). After excluding one study primarily contributing to between-study heterogeneity, the association between resistin levels and cancer risk was still significant (OR=1.18, 95% CI = 1.09-1.28). Stratification analysis found resistin levels were not associated with cancer risk in prospective studies. Meta-regression analysis identified factors such as geographic area, detection assay, or study design as confounders to between-study variance. The result of 18 studies of pooling measures on SMD analysis was that high resistin levels were associated with increased cancer risk (SMD = 0.94, 95% CI = 0.63-1.25), but not in the pooling SMD analysis of prospective studies. Except for the studies identified as major contributors to heterogeneity by Galbraith plot, resistin levels were still higher in cancer patients (SMD = 0.75, 95% CI = 0.63-0.87) in retrospective studies. Meta-regression analysis found factors, such as geographic area, BMI-match, size, and quality score, could account for 66.7% between-study variance in pooling SMD analysis of retrospective studies. Publication bias was not found in pooling ORs analysis. Our findings indicated high resistin levels were associated with increased obesity-related cancer risk. However, it may not be a predictor.

The Impacts of SLC22A1 rs594709 and SLC47A1 rs2289669 Polymorphisms on Metformin Therapeutic Efficacy in Chinese Type 2 Diabetes Patients.

Background. We aimed to investigate the distributive characteristics of SLC22A1 rs594709 and SLC47A1 rs2289669 polymorphisms and their influence on metformin efficacy in Chinese T2DM patients. Methods. The distributions of SLC22A1 rs594709 and SLC47A1 rs2289669 polymorphisms were determined in 267 T2DM patients and 182 healthy subjects. Subsequently, 53 newly diagnosed patients who received metformin monotherapy were recruited to evaluate metformin efficacy. Results. No significant difference was found between T2DM patients and healthy subjects in SLC22A1 rs594709 and SLC47A1 rs2289669 allele frequencies and genotype frequencies. After metformin treatment, SLC22A1 rs594709 GG genotype patients showed a higher increase in FINS (p = 0.015) and decrease in HOMA-IS (p = 0.001) and QUICKI (p = 0.002) than A allele carriers. SLC47A1 rs2289669 GG genotype patients had a higher decrease in TChol (p = 0.030) and LDL-C (p = 0.049) than A allele carriers. Among SLC22A1 rs594709 AA genotype, patients with SLC47A1 rs2289669 AA genotype showed a higher decrease in FBG (p = 0.015), PINS (p = 0.041), and HOMA-IR (p = 0.014) than G allele carriers. However, among SLC22A1 rs594709 G allele carriers, SLC47A1 rs2289669 AA genotype patients showed a higher decrease in TChol (p = 0.013) than G allele carriers. Conclusion. Our data suggest that SLC22A1 rs594709 and SLC47A1 rs2289669 polymorphisms may influence metformin efficacy together in Chinese T2DM patients.

Association of well-characterized lung cancer lncRNA polymorphisms with lung cancer susceptibility and platinum-based chemotherapy response.

Long non-coding RNAs (lncRNAs) play important roles in carcinogenesis and drug efficacy. Platinum-based chemotherapy is first-line treatment for lung cancer chemotherapy. In this study, we aimed to investigate the association of well-characterized lung cancer lncRNA genetic polymorphisms with the lung cancer susceptibility and platinum-based chemotherapy response. A total of 498 lung cancer patients and 213 healthy controls were recruited in the study. Among them, 467 patients received at least two cycles of platinum-based chemotherapy. Thirteen polymorphisms in HOXA distal transcript antisense RNA (HOTTIP), HOX transcript antisense intergenic RNA (HOTAIR), H19, CDKN2B antisense RNA 1 (ANRIL), colon cancer-associated transcript 2 (CCAT2), metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), and maternally expressed gene 3 (MEG3) genes were genotyped by allele-specific MALDI-TOF mass spectrometry. We found that patients with HOTTIP rs5883064 C allele or rs1859168 A allele had increased lung cancer risk (P = 0.01, P = 0.01, respectively). CCAT2 rs6983267 (P = 0.02, adenocarcinoma) and H19 rs2107425 (P = 0.02, age under 50 years) showed strong relationship with lung cancer susceptibility. CCAT2 rs6983267, H19 rs2839698, MALAT1 rs619586, and HOTAIR rs7958904 were associated with platinum-based chemotherapy response in dominant model ((P = 0.02, P = 0.04, P = 0.04, P = 0.01, respectively). ANRIL rs10120688 (P = 0.02, adenocarcinoma) and rs1333049 (P = 0.04, small-cell lung cancer), H19 rs2107425 (P = 0.02, small-cell lung cancer) and HOTAIR rs1899663 (P = 0.03, male; P = 0.03, smoker) were associated with response to platinum-based chemotherapy. HOTTIP, CCAT2, H19, HOTAIR, MALATI, ANRIL genetic polymorphisms were significantly associated with lung cancer susceptibility or platinum-based chemotherapy response. They may be potential clinical biomarkers to predict lung cancer risk and platinum-based chemotherapy response.