Identification of genetically predicted DNA methylation markers associated with non-small cell lung cancer risk among 34,964 cases and 448,579 controls.

BACKGROUND: Although the associations between genetic variations and lung cancer risk have been explored, the epigenetic consequences of DNA methylation in lung cancer development are largely unknown. Here, the genetically predicted DNA methylation markers associated with non-small cell lung cancer (NSCLC) risk by a two-stage case-control design were investigated. METHODS: The genetic prediction models for methylation levels based on genetic and methylation data of 1595 subjects from the Framingham Heart Study were established. The prediction models were applied to a fixed-effect meta-analysis of screening data sets with 27,120 NSCLC cases and 27,355 controls to identify the methylation markers, which were then replicated in independent data sets with 7844 lung cancer cases and 421,224 controls. Also performed was a multi-omics functional annotation for the identified CpGs by integrating genomics, epigenomics, and transcriptomics and investigation of the potential regulation pathways. RESULTS: Of the 29,894 CpG sites passing the quality control, 39 CpGs associated with NSCLC risk (Bonferroni-corrected p ≤ 1.67 × 10-6 ) were originally identified. Of these, 16 CpGs remained significant in the validation stage (Bonferroni-corrected p ≤ 1.28 × 10-3 ), including four novel CpGs. Multi-omics functional annotation showed nine of 16 CpGs were potentially functional biomarkers for NSCLC risk. Thirty-five genes within a 1-Mb window of 12 CpGs that might be involved in regulatory pathways of NSCLC risk were identified. CONCLUSIONS: Sixteen promising DNA methylation markers associated with NSCLC were identified. Changes of the methylation level at these CpGs might influence the development of NSCLC by regulating the expression of genes nearby. PLAIN LANGUAGE SUMMARY: The epigenetic consequences of DNA methylation in lung cancer development are still largely unknown. This study used summary data of large-scale genome-wide association studies to investigate the associations between genetically predicted levels of methylation biomarkers and non-small cell lung cancer risk at the first time. This study looked at how well larotrectinib worked in adult patients with sarcomas caused by TRK fusion proteins. These findings will provide a unique insight into the epigenetic susceptibility mechanisms of lung cancer.

Neuroprotective Effects of Melittin Against Cerebral Ischemia and Inflammatory Injury via Upregulation of MCPIP1 to Suppress NF-κB Activation In Vivo and In Vitro.

Melittin, a principal constituent of honeybee venom, exhibits diverse biological effects, encompassing anti-inflammatory capabilities and neuroprotective actions against an array of neurological diseases. In this study, we probed the prospective protective influence of melittin on cerebral ischemia, focusing on its anti-inflammatory activity. Mechanistically, we explored whether monocyte chemotactic protein-induced protein 1 (MCPIP1, also known as ZC3H12A), a recently identified zinc-finger protein, played a role in melittin-mediated anti-inflammation and neuroprotection. Male C57/BL6 mice were subjected to distal middle cerebral artery occlusion to create a focal cerebral cortical ischemia model, with melittin administered intraperitoneally. We evaluated motor functions, brain infarct volume, cerebral blood flow, and inflammatory marker levels within brain tissue, employing quantitative real-time polymerase chain reaction, enzyme-linked immunosorbent assays, and western blotting. In vitro, an immortalized BV-2 microglia culture was stimulated with lipopolysaccharide (LPS) to establish an inflammatory cell model. Post-melittin exposure, cell viability, and cytokine expression were examined. MCPIP1 was silenced using siRNA in LPS-induced BV-2 cells, with the ensuing nuclear translocation of nuclear factor-κB assessed through cellular immunofluorescence. In vivo, melittin enhanced motor functions, diminished infarction, fostered blood flow restoration in ischemic brain regions, and markedly inhibited the expression of inflammatory cytokines (interleukin-1ß, interleukin-6, tumor necrosis factor-α, and nuclear factor-κB). In vitro, melittin augmented MCPIP1 expression in LPS-induced BV-2 cells and ameliorated inflammation-induced cell death. The neuroprotective effect conferred by melittin was attenuated upon MCPIP1 knockdown. Our findings establish that melittin-induced tolerance to ischemic injury is intrinsically linked with its anti-inflammatory capacity. Moreover, MCPIP1 is, at the very least, partially implicated in this process.

ABC transporters affects tumor immune microenvironment to regulate cancer immunotherapy and multidrug resistance.

Multidrug resistance (MDR) is the phenomenon in which cancer cells simultaneously develop resistance to a broad spectrum of structurally and mechanistically unrelated drugs. MDR severely hinders the effective treatment of cancer and is the major cause of chemotherapy failure. ATP-binding cassette (ABC) transporters are extensively expressed in various body tissues, and actively transport endogenous and exogenous substrates through biological membranes. Overexpression of ABC transporters is frequently observed in MDR cancer cells, which promotes efflux of chemotherapeutic drugs and reduces their intracellular accumulation. Increasing evidence suggests that ABC transporters regulate tumor immune microenvironment (TIME) by transporting various cytokines, thus controlling anti-tumor immunity and sensitivity to anticancer drugs. On the other hand, the expression of various ABC transporters is regulated by cytokines and other immune signaling molecules. Targeted inhibition of ABC transporter expression or function can enhance the efficacy of immune checkpoint inhibitors by promoting anticancer immune microenvironment. This review provides an update on the recent research progress in this field.

A cross-tissue transcriptome-wide association study identifies novel susceptibility genes for lung cancer in Chinese populations.

Although dozens of susceptibility loci have been identified for lung cancer in genome-wide association studies (GWASs), the susceptibility genes and underlying mechanisms remain unclear. In this study, we conducted a cross-tissue transcriptome-wide association study (TWAS) with UTMOST based on summary statistics from 13 327 lung cancer cases and 13 328 controls and the genetic-expression matrix over 44 human tissues in the Genotype-Tissue Expression (GTEx) project. After further evaluating the associations in each tissue, we revealed 6 susceptibility genes in known loci and identified 12 novel ones. Among those, five novel genes, including DCAF16 (Pcross-tissue = 2.57 × 10-5, PLung = 2.89 × 10-5), CBL (Pcross-tissue = 5.08 × 10-7, PLung = 1.82 × 10-4), ATR (Pcross-tissue = 1.45 × 10-5, PLung = 9.68 × 10-5), GYPE (Pcross-tissue = 1.45 × 10-5, PLung = 2.17 × 10-3) and PARD3 (Pcross-tissue = 5.79 × 10-6, PLung = 4.05 × 10-3), were significantly associated with the risk of lung cancer in both cross-tissue and lung tissue models. Further colocalization analysis indicated that rs7667864 (C > A) and rs2298650 (G > T) drove the GWAS association signals at 4p15.31-32 (OR = 1.09, 95%CI: 1.04-1.12, PGWAS = 5.54 × 10-5) and 11q23.3 (OR = 1.08, 95%CI: 1.04-1.13, PGWAS = 5.55 × 10-5), as well as the expression of DCAF16 (ßGTEx = 0.24, PGTEx = 9.81 × 10-15; ßNJLCC = 0.29, PNJLCC = 3.84 × 10-8) and CBL (ßGTEx = -0.17, PGTEx = 2.82 × 10-8; ßNJLCC = -0.32, PNJLCC = 2.61 × 10-7) in lung tissue. Functional annotations and phenotype assays supported the carcinogenic effect of these novel susceptibility genes in lung carcinogenesis.

A two-stage genome-wide association study identified four potential early-onset nonsmall cell lung cancer risk loci based on 26,652 participants in Chinese population.

Early-onset lung cancer is rare with an increasing incidence rate. Although several genetic variants have been identified for it with candidate gene approaches, no genome-wide association study (GWAS) has been reported. In this study, a two-stage strategy was adopted: firstly we performed a GWAS to identify variants associated with early-onset nonsmall-cell lung cancer (NSCLC) risk using 2556 cases (age ≤ 50 years) and 13,327 controls by logistic regression model. To further discriminate younger cases from older ones, we took a case-case analysis for the promising variants with above early-onset cases and 10,769 cases (age > 50 years) by Cox regression model. After combining these results, we identified four early-onset NSCLC susceptibility loci at 5p15.33 (rs2853677, odds ratio [OR] = 1.48, 95% confidence interval [CI]: 1.36-1.60, Pcase-control = 3.58 × 10-21 ; hazard ratio [HR] = 1.10, 95% CI: 1.04-1.16, Pcase-case = 6.77 × 10-4 ), 5p15.1 (rs2055817, OR = 1.24, 95% CI: 1.15-1.35, Pcase-control = 1.39 × 10-7 ; HR = 1.08, 95% CI: 1.02-1.14, Pcase-case = 6.90 × 10-3 ), 6q24.2 (rs9403497, OR = 1.24, 95% CI: 1.15-1.35, Pcase-control = 1.61 × 10-7 ; HR = 1.11, 95% CI: 1.05-1.17, Pcase-case = 3.60 × 10-4 ) and 12q14.3 (rs4762093, OR = 1.31, 95% CI: 1.18-1.45, Pcase-control = 1.90 × 10-7 ; HR = 1.10, 95% CI: 1.03-1.18, Pcase-case = 7.49 × 10-3 ). Except for 5p15.33, other loci were found to be associated with NSCLC risk for the first time. All of them had stronger effects in younger patients than in older ones. These results provide a promising overview for early-onset NSCLC genetics.

Pan-cancer analysis of NLRP3 inflammasome with potential implications in prognosis and immunotherapy in human cancer.

NLRP3 inflammasome was introduced as a double-edged sword in tumorigenesis and influenced immunotherapy response by modulating host immunity. However, a systematic assessment of the NLRP3-inflammasome-related genes across human cancers is lacking, and the predictive role of NLRP3 inflammasome in cancer immunotherapy (CIT) response remains unexplored. Thus, in this study, we performed a pan-cancer analysis of NLRP3-inflammasome-related genes across 24 human cancers. Out of these 24 cancers, 15 cancers had significantly different expression of NLRP3-inflammasome-related genes between normal and tumor samples. Meanwhile, Cox regression analysis showed that the NLRP3 inflammasome score could be served as an independent prognostic factor in skin cutaneous melanoma. Further analysis indicated that NLRP3 inflammasome may influence tumor immunity mainly by mediating tumor-infiltrating lymphocytes and macrophages, and the effect of NLRP3 inflammasome on immunity is diverse across tumor types in tumor microenvironment. We also found that the NLRP3 inflammasome score could be a stronger predictor for immune signatures compared with tumor mutation burden (TMB) and glycolytic activity, which have been reported as immune predictors. Furthermore, analysis of the association between NLRP3 inflammasome and CIT response using six CIT response datasets revealed the predictive value of NLRP3 inflammasome for immunotherapy response of patients in diverse cancers. Our study illustrates the characterization of NLRP3 inflammasome in multiple cancer types and highlights its potential value as a predictive biomarker of CIT response, which can pave the way for further investigation of the prognostic and therapeutic potentials of NLRP3 inflammasome.

Systematic analyses of GWAS summary statistics from UK Biobank identified novel susceptibility loci and genes for upper gastrointestinal diseases.

In recent decades, upper gastrointestinal (GI) diseases have been highly prevalent worldwide. Although genome-wide association studies (GWASs) have identified thousands of susceptibility loci, only a few of them were conducted for chronic upper GI disorders, and most of them were underpowered and with small sample sizes. Additionally, for the known loci, only a tiny fraction of heritability can be explained and the underlying mechanisms and related genes remain unclear. In this study, we conducted a multi-trait analysis by the MTAG software and a two-stage transcriptome-wide association study (TWAS) with UTMOST and FUSION for seven upper GI diseases (oesophagitis, gastro-oesophageal reflux disease, other diseases of oesophagus, gastric ulcer, duodenal ulcer, gastritis and duodenitis and other diseases of stomach and duodenum) based on summary GWAS statistics from UK Biobank. In the MTAG analysis, we identified 7 loci associated with these upper GI diseases, including 3 novel ones at 4p12 (rs10029980), 12q13.13 (rs4759317) and 18p11.32 (rs4797954). In the TWAS analysis, we revealed 5 susceptibility genes in known loci and identified 12 novel potential susceptibility genes, including HOXC9 at 12q13.13. Further functional annotations and colocalization analysis indicated that rs4759317 (A>G) driven the association for GWAS signals and expression quantitative trait loci (eQTL) simultaneously at 12q13.13. The identified variant acted by decreasing the expression of HOXC9 to affect the risk of gastro-oesophageal reflux disease. This study provided insights into the genetic nature of upper GI diseases.

Adenylate kinase 2 is a biomarker related to the prognosis of glioma and the immune microenvironment.

BACKGROUND: Among the brain and the other central nervous system, gliomas are the most prevalent malignant primary tumors. Adenylate kinase 2 (AK2) is generally thought to be crucial for energy metabolism and signal transduction. Several disorders are correlated with its aberrant expression. However, it is unclear what functions AK2 might have in gliomas. METHODS: We investigated the relationship between AK2 expression and clinicopathological features of glioma patients using information obtained from public databases and patient tissue microarrays. AK2 knockdown glioma cell lines were constructed to explore how AK2 affects glioma progress. The association between AK2 and the immune microenvironment in gliomas was evaluated by multiple methods. RESULTS: AK2 expression was higher in glioma samples than in normal brain tissues. Older patients and those with higher-grade, IDH-wildtype, 1p/19q codeletion-free, and MGMT-unmethylated tumors had higher levels of AK2 expression, linking to poor outcomes. Thus, gliomas with high AK2 expression have a worse prognosis. GO and KEGG analyses demonstrated that AK2 was relevant to cell division and DNA replication. Downregulation of AK2 suppresses cell proliferation, migration, and colony formation of glioma cell lines in vitro. AK2 expression was positively connected to the inhibitory immune checkpoints, also correlating with immune infiltration degree. CONCLUSIONS: In this study, AK2 may be a potential biological target for more precise molecular therapy of gliomas, since its high expression is associated with worse outcomes and a more malignant immune microenvironment.

Clinical significance of FBXW7 loss of function in human cancers.

FBXW7 (F-Box and WD Repeat Domain Containing 7) (also referred to as FBW7 or hCDC4) is a component of the Skp1-Cdc53 / Cullin-F-box-protein complex (SCF/ß-TrCP). As a member of the F-box protein family, FBXW7 serves a role in phosphorylation-dependent ubiquitination and proteasome degradation of oncoproteins that play critical role(s) in oncogenesis. FBXW7 affects many regulatory functions involved in cell survival, cell proliferation, tumor invasion, DNA damage repair, genomic instability and telomere biology. This thorough review of current literature details how FBXW7 expression and functions are regulated through multiple mechanisms and how that ultimately drives tumorigenesis in a wide array of cell types. The clinical significance of FBXW7 is highlighted by the fact that FBXW7 is frequently inactivated in human lung, colon, and hematopoietic cancers. The loss of FBXW7 can serve as an independent prognostic marker and is significantly correlated with the resistance of tumor cells to chemotherapeutic agents and poorer disease outcomes. Recent evidence shows that genetic mutation of FBXW7 differentially affects the degradation of specific cellular targets resulting in a distinct and specific pattern of activation/inactivation of cell signaling pathways. The clinical significance of FBXW7 mutations in the context of tumor development, progression, and resistance to therapies as well as opportunities for targeted therapies is discussed.

Air Pollution, Genetic Factors, and the Risk of Lung Cancer: A Prospective Study in the UK Biobank.

Rationale: Both genetic and environmental factors contribute to lung cancer, but the degree to which air pollution modifies the impact of genetic susceptibility on lung cancer remains unknown. Objectives: To investigate whether air pollution and genetic factors jointly contribute to incident lung cancer. Methods: We analyzed data from 455,974 participants (53% women) without previous cancer at baseline in the UK Biobank. The concentrations of particulate matter (PM) (PM ⩽2.5 µm in aerodynamic diameter [PM2.5], coarse PM between 2.5 µm and 10 µm in aerodynamic diameter [PMcoarse], and PM ⩽10 µm in aerodynamic diameter [PM10]), nitrogen dioxide (NO2), and nitrogen oxides (NOx) were estimated by using land-use regression models, and the association between air pollutants and incident lung cancer was investigated by using a Cox proportional hazard model. Furthermore, we constructed a polygenic risk score and evaluated whether air pollutants modified the effect of genetic susceptibility on the development of lung cancer. Measurements and Main Results: The results showed significant associations between the risk of lung cancer and PM2.5 (hazard ratio [HR], 1.63; 95% confidence interval [CI], 1.33-2.01; per 5 µg/m3), PM10 (HR, 1.53; 95% CI, 1.20-1.96; per 10 µg/m3), NO2 (HR, 1.10; 95% CI, 1.05-1.15; per 10 µg/m3), and NOx (HR, 1.13; 95% CI, 1.07-1.18; per 20 µg/m3). There were additive interactions between air pollutants and the genetic risk. Compared with participants with low genetic risk and low air pollution exposure, those with high air pollution exposure and high genetic risk had the highest risk of lung cancer (PM2.5: HR, 1.71; 95% CI, 1.45-2.02; PM10: HR, 1.77; 95% CI, 1.50-2.10; NO2: HR, 1.77; 95% CI, 1.42-2.22; NOx: HR, 1.67; 95% CI, 1.43-1.95). Conclusions: Long-term exposure to air pollution may increase the risk of lung cancer, especially in those with high genetic risk.

Genome-wide gene-smoking interaction study identified novel susceptibility loci for non-small cell lung cancer in Chinese populations.

Gene-smoking interactions play important roles in the development of non-small cell lung cancer (NSCLC). To identify single-nucleotide polymorphisms (SNPs) that modify the association of smoking behavior with NSCLC risk, we conducted a genome-wide gene-smoking interaction study in Chinese populations. The genome-wide interaction analysis between SNPs and smoking status (ever- versus never-smokers) was carried out using genome-wide association studies of NSCLC, which included 13 327 cases and 13 328 controls. Stratified analysis by histological subtypes was also conducted. We used a genome-wide significance threshold of 5 × 10-8 for identifying significant gene-smoking interactions and 1 × 10-6 for identifying suggestive results. Functional annotation was performed to identify potential functional SNPs and target genes. We identified three novel loci with significant or suggestive gene-smoking interaction. For NSCLC, the interaction between rs2746087 (20q11.23) and smoking status reached genome-wide significance threshold [odds ratio (OR) = 0.63, 95% confidence interval (CI): 0.54-0.74, P = 3.31 × 10-8], and the interaction between rs11912498 (22q12.1) and smoking status reached suggestive significance threshold (OR = 0.72, 95% CI: 0.63-0.82, P = 8.10 × 10-7). Stratified analysis by histological subtypes identified suggestive interactions between rs459724 (5q11.2) and smoking status (OR = 0.61, 95% CI: 0.51-0.73, P = 7.55 × 10-8) in the risk of lung squamous cell carcinoma. Functional annotation indicated that both classic and novel biological processes, including nicotine addiction and airway clearance, may modulate the susceptibility to NSCLC. These novel loci provide new insights into the biological mechanisms underlying NSCLC risk. Independent replication in large-scale studies is needed and experimental studies are warranted to functionally validate these associations.

Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk.

Genome-wide association studies (GWAS) have identified 45 susceptibility loci associated with lung cancer. Only less than SNPs, small insertions and deletions (INDELs) are the second most abundant genetic polymorphisms in the human genome. INDELs are highly associated with multiple human diseases, including lung cancer. However, limited studies with large-scale samples have been available to systematically evaluate the effects of INDELs on lung cancer risk. Here, we performed a large-scale meta-analysis to evaluate INDELs and their risk for lung cancer in 23,202 cases and 19,048 controls. Functional annotations were performed to further explore the potential function of lung cancer risk INDELs. Conditional analysis was used to clarify the relationship between INDELs and SNPs. Four new risk loci were identified in genome-wide INDEL analysis (1p13.2: rs5777156, Insertion, OR = 0.92, p = 9.10 × 10-8 ; 4q28.2: rs58404727, Deletion, OR = 1.19, p = 5.25 × 10-7 ; 12p13.31: rs71450133, Deletion, OR = 1.09, p = 8.83 × 10-7 ; and 14q22.3: rs34057993, Deletion, OR = 0.90, p = 7.64 × 10-8 ). The eQTL analysis and functional annotation suggested that INDELs might affect lung cancer susceptibility by regulating the expression of target genes. After conducting conditional analysis on potential causal SNPs, the INDELs in the new loci were still nominally significant. Our findings indicate that INDELs could be potentially functional genetic variants for lung cancer risk. Further functional experiments are needed to better understand INDEL mechanisms in carcinogenesis.

[Psychological and behavior status of minor children of medical staff during the COVID-19 epidemic in Hubei province].

OBJECTIVE: To investigate the psychological and behavior status of minor children of medical staff in Hubei province during the coronavirus disease 2019 (COVID-19) epidemic. METHODS: A cross-sectional questionnaire survey was conducted through WeChat from March 13 to 15, 2020, which included a general data questionnaire and Conners parental assessment questionnaire (PSQ). The questionnaires received from outside of Hubei province were excluded through IP address, and the questionnaires with answer time <150 s were also excluded. The influence of parental work status on the psychological behavior was analyzed in children of different age groups. RESULTS: A total of 391 valid questionnaires were collected, there were 207 males (52.9%) and 184 females (47.1%); 91 (23.3%) aged 3 to 6, 183 (46.8%) aged 6 to 10, and 117 (29.9%) aged 10 to 16. Both parents were medical staff in 87 participants(22.3%), one parent was medical staff in 139(35.5%) participants, and no parents were medical staff in 165 (42.2%) participants. In 3-<6 years group, there was no significant difference in the PSQ scores of the children in each factor level (all P>0.05) between children with parents as medical staff and those without. In 6-<10 years group, children with both parents as medical staff had higher hyperactivity-impulse factor score, learning problem factor score and total score than those without parents as medical staff (all P<0.05), while they had higher learning problem factor score than those with one parent as medical staff (P<0.05); the anxiety score of children with one or both parents as medical staff was higher than that of those without parents as medical staff (all P<0.05). In 10 to 16 years group, the behavior problems, learning problems, hyperactivity-impulse, more dynamic index and the total score in children with one parent as medical staff were lower than those with both parents as medical staff or without parents as medical staff (P<0.05 or P<0.01); while there were no significant differences in psychosomatic problems, anxiety factor scores between children with one parent as medical staff and other two groups (all P>0.05). CONCLUSIONS: s During COVID-19 epidemic period, the psychological and behavior status of minor children of Hubei medical staff with different ages shows differences with those without parents as medical staff, particularly in 6-<10 years and 10 to 16 year groups. It is necessary to pay attention to the psychological and behavioral status of children of medical staff in these age groups.

Genome-wide analysis of expression quantitative trait loci identified potential lung cancer susceptibility variants among Asian populations.

Even though genome-wide association studies (GWASs) have identified dozens of single nucleotide polymorphisms (SNPs) affecting the susceptibility to lung cancer, only a tiny fraction of heritability can be explained. Regulating the expression of surrounding genes is one of the important mechanisms for SNPs to exert their effect. So it is necessary to systematically evaluate the associations between expression quantitative trait loci (eQTL) and lung cancer risk. In this study, a two-stage case-control design was used to evaluate the associations of eQTL SNPs (eSNPs) defined by GTEx in normal lung tissues with the risk of lung cancer based on two GWAS datasets, including 7127 cases and 6818 controls. Promising variants were replicated in an independent population with 1026 lung cancer cases and 1006 controls. Functional annotations of the identified eSNPs and related genes were performed based on multiple public databases. Finally, we identified two potential eSNPs associated with the risk of lung cancer in 3q28 [rs505974, OR = 0.90 (0.86 - 0.94), P = 6.51 × 10-6] and 21q22.3 [rs79589812, OR = 1.38 (1.21 - 1.58), P = 2.46 × 10-6]. Subgroup analysis showed rs505974 might interact with smoking behaviour. Gene-set enrichment and pathway analysis revealed that rs505974 may affect the susceptibility to lung cancer via regulating the expression of CLDN16, which may be involved in the chemical carcinogenesis pathway, whereas rs79589812 may regulate the expression of SPATC1L, which may be involved in the base excision repair pathway. These results provide an overview of the associations between eSNPs and lung cancer in Asian populations.

Association of expression quantitative trait loci for long noncoding RNAs with lung cancer risk in Asians.

Identification of long noncoding RNA (lncRNA) expression quantitative trait loci (lncR-eQTL) that associated with lung cancer can provide insights into regulatory mechanisms of lncRNA, and help reveal the role of lncRNA in lung cancer. A two-stage case-control design was implemented in this study. We first selected the lncRNAs that differently expressed based on the Cancer Genome Atlas (TCGA) project (75 normal and 708 tumor tissues) and identified eQTLs for selected lncRNAs based on data of 278 normal lung tissues from the the genotype-tissue expression database. Then we selected lncR-eQTLs that associated with lung cancer based on two lung cancer GWAS datasets (7127 cases and 6818 controls). Promising lncR-eQTLs were further replicated in an additional population (1056 cases and 1053 controls). Functional annotations of the identified lncR-eQTLs and related lncRNAs were finally performed by using multiple public databases. Our eQTL analysis finally detected three lncRNA-eQTLs, rs793544 in 3q13.12 (odds ratio [OR] = 1.15; confidence interval [CI]:1.09-1.22; P = 2.30 × 10-6 ), rs7234707 in 18p11.31 (OR = 1.1; CI:1.05-1.15; P = 9.01 × 10-5 ) and rs1600249 in 8p23.1 (OR = 1.1; CI:1.05-1.16; P = 1.27 × 10-4 ), that were consistently associated with the risk of lung cancer. These findings indicate that lncR-eQTLs may serve as novel susceptibility markers for lung cancer.

Effects of six types of aspirin combination medications for treatment of acute cerebral infarction in China: A network meta-analysis.

WHAT IS KNOWN AND OBJECTIVE: Previous studies have shown that various aspirin combinations might be beneficial for the treatment of acute cerebral infarction (ACI). The aim of this study was to evaluate the efficacy of six aspirin combinations in the treatment of ACI using network meta-analysis (NMA). The performance of these combinations is then ranked according to results of this analysis. METHODS: Multiple databases were consulted to find randomized controlled trials (RCT) of six different aspirin combinations for the treatment of ACI. NMA was conducted on the data using stata (13.0) software. The odds ratio (OR) was calculated. The studies included in this paper were divided into a control group (aspirin alone) and an observation group (one of six aspirin combinations). RESULTS: A total of 103 eligible RCTs were identified. A total of 13 317 cases were included in the study, and the results showed that the six types of aspirin combinations (aspirin with atorvastatin, ozagrel sodium, low molecular weight heparin [LMWH], clopidogrel, cilostazol and ginkgo damo) were all significantly superior (P < 0.05) to aspirin alone. The combination of aspirin with LMWH had the highest probability of being the most clinically efficacious intervention, with a surface under the cumulative ranking (SUCRA) curve of 79.1. The combination of aspirin with ozagrel sodium was the worst, with a SUCRA value of 29.7. WHAT IS NEW AND CONCLUSION: A combination of aspirin with LMWH is the best option among the six aspirin combinations considered for the treatment of ACI. The combination of aspirin with ozagrel sodium was ranked the last.

Fine mapping in TERT-CLPTM1L region identified three independent lung cancer susceptibility signals: A large-scale multi-ethnic population study.

Genome-wide association studies (GWAS) and fine mapping studies have identified multiple lung cancer susceptibility variants in TERT-CLPTM1L region. However, it is still unclear about the relationship between these risk variants and the independent lung cancer risk signals in this region. Therefore, we evaluated the independent susceptibility signals for lung cancer and explored the potential functional variants in this region. Sequential conditional analysis was used to detect the independent susceptibility loci based on four lung cancer GWAS datasets with 12 843 lung cases and 12 639 controls. Comprehensively functional annotations were performed for each independent signal. Three independent susceptibility signals were identified in multi-ethnic population. For the first signal, rs2736100 showed the most significant association with lung cancer risk (C > A, OR = 0.82, 95%CI: 0.79-0.85, P = 1.98 × 10-25 ). Rs36019446 was the top-ranked site (A > G, OR = 0.88, 95%CI: 0.84-0.92, P = 1.74 × 10-9 ) in the second signal. For the third signal, rs326048 was the leading SNP (A > G, OR = 0.91, 95%CI: 0.87-0.95, P = 1.38 × 10-5 ). The following subgroup analysis found the same three loci among Asian population. Further, we compared the difference between various subgroup populations. Functional annotations revealed that rs2736100, rs27996 (r2 = 0.85 with rs36019446) and rs326049 (r2 = 0.73 with rs326048) could be potential functional variants in these three risk signals, respectively. In conclusion, although multiple variants have been found associated with lung cancer risk in TERT-CLPTM1L region, our findings indicated that there are three independent lung cancer susceptibility signals in this region.

Accumulation of Flavonoid Glycosides and UFGT Gene Expression in Mulberry Leaves (Morus alba L.) before and after Frost.

In order to determine the molecular mechanism underlying the influence of frost on chemical changes in mulberry leaves, the UFGT activity, expression level, and accumulation of flavonoid glycosides in mulberry leaves (Morus alba L.) were studied. The expression of UFGT gene was investigated by quantitative real-time PCR (qRT-PCR) and the UFGT activity, accumulation of flavonoid glycosides was studied by high performance liquid chromatography. Then, the correlation between the expression level of UFGT, the UFGT activity, and the flavonoid glycosides accumulation with temperature was explored. The accumulation of isoquercitrin and astragalin is significantly positively correlated with UFGT gene expression and UFGT activity. On the contrary, the average temperature was significantly negatively correlated with the level of UFGT gene expression and UFGT activity. The results show that after frost, low temperature can induce the expression of UFGT gene in mulberry leaves, resulting in the accumulation of flavonoid glycosides.

Serological positive markers of hepatitis B virus in femoral venous blood or umbilical cord blood should not be evidence of in-utero infection among neonates.

BACKGROUND: Maternal-infant transmission of hepatitis B virus(HBV) occurs even after passive-active immunization. Some scholars speculate that in-utero infection may be the main cause of immunoprophylaxis failure. However, there is a lack of evidence about the possible occurrence periods of perinatal transmission. METHODS: From 2008 to 2012, 428 pairs of HBsAg-positive mothers and neonates were enrolled and 385 infants aged 8-12 months were followed. HBV markers (HBsAg, anti-HBs, HBeAg, anti-HBe, anti-HBc, HBV-DNA) were performed on all subjects. RESULTS: Of mothers who were positive for HBsAg, HBeAg, HBV-DNA, 35.1 %, 94.3 %, 12.7 % of their neonates were positive for those indices, respectively. Neonates' mean titers of those indices were significantly lower than their mothers'. There were no significant differences in rates of positivity and mean titers of anti-HBe and anti-HBc between neonates and mothers. Most of the positive indices turned negative during the follow-up period. Immunoprophylaxis failed in seventeen infants: four infants had HBV-DNA > 6 log 10copies/mL both at birth and in follow-up; in six infants, mean viral load was 3.72 ± 0.17 log 10copies/mLat birth and 7.62 ± 0.14 log 10copies/mL at follow-up; seven infants were HBV-DNA negative at birth but were found to have > 6 log 10copies/mL during follow-up. Infants that were immunoprophylaxis failures were all born to HBeAg-positive mothers with HBV-DNA > 6 log 10copies/mL. CONCLUSIONS: The placental barrier can partly prevent maternal HBsAg, HBeAg, HBV-DNA from passing through to fetus. Performing HBsAg, HBeAg, HBV-DNA once at birth can neither diagnose nor exclude maternal-infant transmission. The diagnosis of infection period depends on the dynamic changes in viral load from birth through the follow-up period but whether the infection occurred in utero, at delivery or during the neonatal period could not be determined.