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Background Emerging evidence demonstrates that lncRNAs play pivotal roles in tumor energy metabolism; however, the detailed mechanisms of lncRNAs in the regulation of tumor glycolysis remain largely unknown. Methods The expression of SLC2A1-AS1 was investigated by TCGA, GEO dataset and qRT-PCR. The binding of GLI3 to SLC2A1-AS1 promoter was detected by Luciferase Reporter Assay System and Ago2-RIP assay. FISH was performed to determine the localization of SLC2A1-AS1 in ESCC cells. Double Luciferase Report assay was used to investigate the interaction of miR-378a-3p with SLC2A1-AS1 and Glut1. Gain-of-function and Loss-of-function assay were performed to dissect the function of SLC2A1-AS1/miR-378a-3p/Glut1 axis in ESCC progression in vitro and in vivo. Results We identified a novel lncRNA SLC2A1-AS1 in ESCC. SLC2A1-AS1 was frequently overexpressed in ESCC tissues and cells, and its overexpression was associated with TNM stage, lymph node metastasis and poor prognosis of ESCC patients. Importantly, GLI3 and SLC2A1-AS1 formed a regulatory feedback loop in ESCC cells. SLC2A1-AS1 promoted cell growth in vitro and in vivo, migration and invasion, and suppressed apoptosis, leading to EMT progression and increased glycolysis in ESCC cells. SLC2A1-AS1 functioned as ceRNA for sponging miR-378a-3p, resulting in Glut1 overexpression in ESCC cells. MiR-378a-3p inhibited cell proliferation and invasion as well as induced apoptosis, resulting in reduced glycolysis, which was partly reversed by SLC2A1-AS1 or Glut1 overexpression in ESCC cells. Conclusion SLC2A1-AS1 plays important roles in ESCC development and progression by regulating glycolysis, and SLC2A1-AS1/miR-378a-3p/Glut1 regulatory axis may be a novel therapeutic target in terms of metabolic remodeling of ESCC patients.

Cisplatin (DDP) resistance is a huge obstacle to gastric cancer (GC) treatment. Long non-coding RNAs (lncRNAs) have been manifested to exert pivotal functions in GC development. Herein, we aimed to explore the functional impact of lncRNA small nucleolar RNA host gene 6 (SNHG6) on DDP resistance and progression of GC. Quantitative real-time PCR (qRT-PCR) assay or Western blotting was performed to detect the expression of SNHG6, microRNA(miR)-1297, and epithelia-mesenchymal transition (EMT)-related factors and B-Cell Lymphoma 2 (Bcl-2) in DDP-resistant GC cells. Half inhibition concentration (IC50) to DDP, clonogenicity, apoptosis and invasion were examined via CCK-8 assay, colony formation assay, flow cytometry and Transwell assay, respectively. Target association between miR-1297 and SNHG6 or BCL-2 was demonstrated via dual-luciferase reporter assay or RIP assay. Xenograft models in nude mice were formed to investigate role of SNHG6 in vivo. We found that SNHG6 and BCL-2 were upregulated, while miR-1297 expression was declined in GC tissues and DDP-resistant cells. Moreover, depletion of SNHG6 or gain of miR-1297 could repress DDP resistance, proliferation and metastasis of DDP-resistant cells, which was weakened by miR-1297 inhibition or BCL-2 overexpression. Besides, SNHG6 positively regulated BCL-2 expression by sponging miR-1297. Furthermore, SNHG6 knockdown repressed GC tumor growth in vivo. In a word, lncRNA SNHG6 knockdown had inhibitory effects on DDP resistance and progression of GC by sponging miR-1297, highlighting its potential in GC treatment. Keywords: Gastric cancer, cisplatin resistance, lncRNA SNHG6, miR-1297, BCL-2.

Plenty of genome-wide association studies (GWASs) have identified numerous single nucleotide polymorphisms (SNPs) for coronary artery disease (CAD) and blood pressure (BP). However, these SNPs only explain a small proportion of the heritability of two traits/diseases. Although high BP is a major risk factor for CAD, the genetic intercommunity between them remain largely unknown. To recognize novel loci associated with CAD and BP, a genetic-pleiotropy-informed conditional false discovery rate (cFDR) method was applied on two summary statistics of CAD and BP from existing GWASs. Stratified Q-Q and fold enrichment plots showed a high pleiotropic enrichment of SNPs associated with two traits. Adopting a cFDR of 0.05 as a threshold, 55 CAD-associated loci (25 variants being novel) and 47 BP loci (18 variants being novel) were identified, 25 of which were pleiotropic loci (13 variants being novel) for both traits. Among the 32 genes these 25 SNPs were annotated to, 20 genes were newly detected compared to previous GWASs. This study showed the cFDR approach could improve gene discovery by incorporating GWAS datasets of two related traits. These findings may provide novel understanding of etiology relationships between CAD and BP.

Pan Gao,1,2,* Hongtao Liu,3,* Zhenzhen Yang,1,2 Yiran Hui,2,4 Zhuangzhuang Shi,2 Zhen Yang,2 Min Song,2 Menghui Yao,2 Wenfei Fan,1 Jinhua Yang,1 Yibin Hao,1 Tianli Fan2 1People’s Hospital of Zhengzhou, Zhengzhou, Henan, 450001, People’s Republic of China; 2Department of Pharmacology, School of Basic Medicine, Zhengzhou University, Zhengzhou, Henan, 450001, People’s Republic of China; 3Laboratory for Cell Biology, College of Life Sciences of Zhengzhou University, Zhengzhou, Henan, 450001, People’s Republic of China; 4University of Chinese Academy of Sciences-Shenzhen Hospital, Shenzhen, Guangdong, 518106, People’s Republic of China*These authors contributed equally to this workCorrespondence: Tianli FanDepartment of Pharmacology, School of Basic Medicine, Zhengzhou University, Zhengzhou, Henan, 450001, People’s Republic of ChinaEmail fantianli@zzu.edu.cnPurpose: Increasing evidence has demonstrated that animal models are imperative to investigate the potential molecular mechanism of metastasis and discover anti-metastasis drugs; however, efficient animal models to unveil the underlying mechanisms of metastasis in esophageal squamous cell carcinoma (ESCC) are limited.Methods: ESCC cell EC9706 with high invasiveness was screened by repeated Transwell assays. Its biological characteristics were identified by flow cytometry as well as by the wound healing and CCK-8 assays. Besides, the levels of epithelial–mesenchymal transition-related markers were examined using Western blotting. Parental (EC9706-I0) and subpopulation (EC9706-I3) cells were employed to establish the renal capsule model. Next, the tumor growth was detected by a live animal imaging system, and hematoxylin and eosin staining was applied to evaluate the metastatic status in ESCC.Results: EC9706-I3 cells showed rapid proliferation ability, S phase abundance, and high invasive ability; obvious upregulation in N-cadherin, Snail, Vimentin, and Bit1; and downregulation in E-cadherin. EC9706-I3 cells were less sensitive to the chemotherapy drug 5-fluorouracil than EC9706-I0 cells; however, both cell lines reached a tumorigenesis rate of 100% in the renal capsule model. The live animal imaging system revealed that the tumors derived from EC9706-I0 cells grew more slowly than those from EC9706-I3 cells at weeks 3– 14. The EC9706-I3 xenograft model displayed a spontaneous metastatic site, including kidney, heart, liver, lung, pancreas, and spleen, with a distant metastatic rate of 80%.Conclusion: Our data suggested that the metastatic model was successfully established, providing a novel platform for further exploring the molecular mechanisms of metastasis in ESCC patients.Keywords: esophageal squamous cell carcinoma, renal capsule model, spontaneous metastasis, epithelial–mesenchymal transition process

This study aimed to illustrate the impact of injury-related deaths on life expectancy in China in 2016 and to identify the high-risk population. Standard life tables were used to calculate life expectancy and cause-eliminated life expectancy by utilizing mortality data from the national mortality surveillance system. In 2016, the life expectancy of Chinese residents was 78.91 years. After eliminating injury-related mortality, the life expectancy of the residents increased by 1.13 years, which was higher in male and rural residents compared with female and urban residents. The life expectancy on the Eastern and Central regions increased slowly compared with the Western region. The greatest influencing factor on life expectancy was road traffic injuries, followed by falls. Falls had a greater impact on life expectancy for children under 5 years old and those aged over 65 years. This study indicates that deaths caused by injury had a noteworthy impact on life expectancy in China. More attention should be paid to road traffic injuries, and effective preventive measures should be taken to reduce deaths related to injury to increase the life expectancy of residents, especially in children under 5 years and adults over 65 years. By reducing the deaths caused by injury, the life expectancy level is likely to further improve. Resumo: O estudo teve como objetivos analisar o impacto dos óbitos por causas externas na expectativa de vida na China em 2016 e identificar a população de risco. Foram utilizadas tábuas de mortalidade padronizadas para calcular a expectativa de vida e a expectativa de vida depois de eliminar as causas externas, com base nos dados de mortalidade do Sistema Nacional de Vigilância da Mortalidade. Em 2016, a expectativa de vida dos chineses era 78,91 anos. Depois de eliminar a mortalidade por causas externas, a expectativa de vida dos chineses aumentou em 1,13 anos, e o aumento foi maior nos homens e nos moradores da área rural, comparados às mulheres e aos moradores da área urbana. A expectativa de vida das regiões Leste e Central aumentou mais lentamente do que na região Oeste do país. Os acidentes de trânsito foram o fator de maior impacto sobre a expectativa de vida, seguidos de quedas. As quedas tiveram um impacto maior sobre a expectativa de vida nas crianças abaixo de 5 anos e nos idosos acima de 65 anos de idade. O estudo indica que os óbitos por causas externas tiveram um impacto relevante na expectativa de vida na China. As lesões por acidentes de trânsito merecem mais atenção, e medidas efetivas devem ser tomadas para reduzir os óbitos por causas externas para aumentar a expectativa de vida na população chinesa, principalmente nas crianças abaixo de 5 anos e nos idosos acima de 65 anos. A redução dos óbitos por causas externas deverá melhorar mais ainda o nível de expectativa de vida. Resumen: El objetivo de este estudio fue ilustrar el impacto de los fallecimientos relacionados con lesiones y la esperanza de vida en China en 2016, así como identificar a la población de alto riesgo. Las tablas de estándar de vida se utilizaron para calcular la esperanza de vida y la causa de la supresión de esperanza de vida se calculó utilizando datos de mortalidad del sistema de vigilancia de la mortalidad. En 2016, la esperanza de vida de los chinos residentes era 78,91 años. Tras eliminar la mortalidad relacionada con lesiones, la esperanza de vida de los residentes se incrementó en 1,13 años, que fue mayor en hombres, residentes en áreas rurales, comparada con las mujeres, residentes en áreas urbanas. La esperanza de vida en las regiones orientales y centrales se incrementó lentamente, comparada con la región occidental. El factor de mayor influencia en la esperanza de vida fue las lesiones en accidentes de tráfico, seguidas de las caídas. Las caídas tuvieron un impacto mayor en la esperanza de vida para los niños menores de 5 años, así como los ancianos con una edad por encima de los 65 años. Este estudio indica que las muertes causadas por lesiones tuvieron un impacto notorio en la esperanza de vida en China. Se debe prestar más atención a las lesiones por accidente de tráfico, y se deberían tomar medidas preventivas efectivas para reducir las muertes relacionadas con las lesiones para incrementar la esperanza de vida de los residentes, especialmente en niños menores de 5 años y personas mayores con más de 65 años. Si se reducen las muertes causadas por lesiones, cabe esperar que mejore el nivel de esperanza de vida.

Objective: to establish regulatory network of colorectal cancer involving p42.3 protein and to provide theoretical evidence for deep functional exploration of p42.3 protein in the onset and development of colorectal cancer. Methods: with protein similarity algorithm, reference protein set of p42.3 cell apoptosis was built according to structural features of p42.3. GO and KEGG databases were used to establish regulatory network of tumor cell apoptosis involving p42.3; meanwhile, the largest possible working pathway that involves p42.3 protein was screened out based on Bayesian network theory. Besides, GO and KEGG were used to build regulatory network on early diagnosis gene markers for colorectal cancer including WWOX, K-ras, COX-2, p53, APC, DCC and PTEN, at the same time, a regulatory network of colorectal cancer cell apoptosis which involves p42.3 was established. Results: cell apoptotic regulatory network that p42.3 participates in primarily consists of Bcl-2 family genes and the largest possible pathway is p42.3 → FKBP → Bcl-2 centered as FKBP protein. Combined with colorectal cancer regulatory network that involves early diagnosis gene markers, it can be predicted that p42.3 is most likely to regulate the colorectal cancer cell apoptosis through FKBP → Bcl-2 → Bax → caspase-9 → caspase-3 pathway. Conclusion: the colorectal cancer apoptosis network based on p42.3 established in the study provides theoretical evidence for deep exploration of p42.3 regulatory mechanism and molecular targeting treatment of colorectal cancer.

Background Various hypertension predictive models have been developed worldwide; however, there is no existing predictive model for hypertension among Chinese rural populations. Methods This is a 6-year population-based prospective cohort in rural areas of China. Data was collected in 2007-2008 (baseline survey) and 2013-2014 (follow-up survey) from 8319 participants ranging in age from 35 to 74 years old. Specified gender hypertension predictive models were established based on multivariate Cox regression, Artificial Neural Network (ANN), Naive Bayes Classifier (NBC), and Classification and Regression Tree (CART) in the training set. External validation was conducted in the testing set. The estimated models were assessed by discrimination and calibration, respectively. Results During the follow-up period, 432 men and 604 women developed hypertension in the training set. Assessment for established models in men suggested men office-based model (M1) was better than others. C-index of M1 model in the testing set was 0.771 (95% confidence Interval (CI) = 0.750, 0.791), and calibration χ2 = 6.3057 (P = 0.7090). In women, women office-based model (W1) and ANN were better than the other models assessed. The C-indexes for the W1 model and the ANN model in the testing set were 0.765 (95% CI = 0.746, 0.783) and 0.756 (95% CI = 0.737, 0.775) and the calibrations χ2 were 6.7832 (P = 0.1478) and 4.7447 (P = 0.3145), respectively. Conclusions Not all machine-learning models performed better than the traditional Cox regression models. The W1 and ANN models for women and M1 model for men have better predictive performance which could potentially be recommended for predicting hypertension risk among rural populations.

Stroke is a complex disease with multiple etiologies. Numerous studies suggest an established association between obesity and stroke, which may partly arise from the shared genetic components between the two phenotypes. Despite genome-wide association studies (GWASs) have identified some loci associated with stroke and obesity individually, the estimated genetic variability explained by these loci is limited (especially for stroke) and the pleiotropic loci between them are largely unknown. In this study, we jointly applied the pleiotropy-informed conditional false discovery rate (cFDR) method and the genetic analysis incorporating pleiotropy and annotation (GPA) method on summary statistics of two large GWASs to detect the genetic overlap between stroke (n = 446,696) and obesity (n = 681,275). Stratified Q–Q and fold-enrichment plots showed strong pleiotropic enrichment between the two phenotypes. With cFDR

Aims: This purpose of the study was to optimize the regulatory mechanism of p42.3 novel protein molecule in gastric cancer and also verified it by the use of intelligent algorithms. Subjects and Methods: Threading method was employed to analyze structural domain characteristics of p42.3 protein. Referential proteins were gathered and formed by domain homology and function similarity. Afterwards, the possible regulatory network of p42.3 was established by analyzing the acting pathways of the referential proteins. Spherical polar coordinates stratification and stratified multi-parameter weight were used for calculation of the similarity between the referential proteins and p42.3 protein, the result of which was taken as the prior probability of the initial node in Bayes network, thus the probability of occurrence of each pathway was figured out by using conditional probability formula, and the one with the biggest probability was considered as the possible pathway of p42.3. At last, molecular biological experiments were conducted to verify it. Results: The acting pathway with the maximum probability predicted by Bayesian probability optimizing calculation was “S100A11” – RAGE – P38 – MAPK – Microtubule–associated protein – Spindle protein-Centromere protein – Cell proliferation” which was the most likely acting pathway participated by p42.3, and has been validated by biological experiments. Conclusions: By the theoretical analysis and experimental verification, this study confirmed that assumptions that p42.3 protein was related to the occurrence and development of gastric carcinoma, predicted and verified the acting pathways of p42.3, which will provide a new research direction of the relationship between p42.3 and gastric cancer, as well as the target therapy of gastric cancer. The algorithm in predicting the acting pathway of the protein also offers a new thought in studying new functional proteins.

Aims. To optimize and verify the regulatory pathway of p42.3 in the pathogenesis of gastric carcinoma (GC) by intelligent algorithm.Methods. Bioinformatics methods were used to analyze the features of structural domain in p42.3 protein. Proteins with the same domains and similar functions to p42.3 were screened out for reference. The possible regulatory pathway of p42.3 was established by integrating the acting pathways of these proteins. Then, the similarity between the reference proteins and p42.3 protein was figured out by multiparameter weighted summation method. The calculation result was taken as the prior probability of the initial node in Bayesian network. Besides, the probability of occurrence in different pathways was calculated by conditional probability formula, and the one with the maximum probability was regarded as the most possible pathway of p42.3. Finally, molecular biological experiments were conducted to prove it.Results. In Bayesian network of p42.3, probability of the acting pathway “S100A11→RAGE→P38→MAPK→Microtubule-associated protein→Spindle protein→Centromere protein→Cell proliferation” was the biggest, and it was also validated by biological experiments.Conclusions. The possibly important role of p42.3 in the occurrence of gastric carcinoma was verified by theoretical analysis and preliminary test, helping in studying the relationship between p42.3 and gastric carcinoma.

Chemotherapy is the mainstay of treatment in mid-advanced tumors. Considering their toxicity on hematopoietic cells, chemotherapeutics are often considered as immunosuppressive inducers. However, recently accumulating data indicate that some chemotherapeutic agents with specific administration schedules also display some positive immunological effect to contribute to tumor elimination. For instance, metronomic chemotherapy could promote tumor eradication not only by inhibiting tumor angiogenesis but also by selectively eliminating immunosuppressive cells and improving anti-tumor immune responses. In this review, we summarize what is currently known regarding metronomic chemotherapy-induced immunoregulation. Understanding of the molecular mechanisms of metronomic chemotherapy-induced immunoregulation may yield invaluable information for the optimal design of immunochemotherapies.

BACKGROUND Noninvasive prenatal detection of common fetal aneuploidies with cell-free DNA from maternal plasma has been achieved with high-throughput next-generation sequencing platforms. Turnaround times for previously tested platforms are still unsatisfactory for clinical applications, however, because of the time spent on sequencing. The development of semiconductor sequencing technology has provided a way to shorten overall run times. We studied the feasibility of using semiconductor sequencing technology for the noninvasive detection of fetal aneuploidy. METHODS Maternal plasma DNA from 13 pregnant women, corresponding to 4 euploid, 6 trisomy 21 (T21), 2 trisomy 18 (T18), and 1 trisomy 13 (T13) pregnancies, were sequenced on the Ion Torrent Personal Genome Machine sequencer platform with 318 chips. The data were analyzed with the T statistic method after correcting for GC bias, and the T value was calculated as an indicator of fetal aneuploidy. RESULTS We obtained a mean of 3 524 401 high-quality reads per sample, with an efficiency rate of 77.9%. All of the T21, T13, and T18 fetuses could be clearly distinguished from euploid fetuses, and the time spent on library preparation and sequencing was 24 h. CONCLUSIONS Semiconductor sequencing represents a suitable technology for the noninvasive prenatal detection of fetal aneuploidy. With this platform, sequencing times can be substantially reduced; however, a further larger-scale study is needed to determine the imprecision of noninvasive fetal aneuploidy detection with this system.

Background and aim: This study aimed to investigate the efficacy and safety of dual and triple antiplatelet therapy (DAPT and TAPT) in patients with diabetes and acute ST segment elevation myocardial infarction (D-STEMI), who had undergone primary percutaneous coronary intervention (PCI). Methods: We designed a phase IV, single-centre, randomised, double-blind, placebo-controlled study. The D-STEMI patients (n = 258) were randomly divided into three groups. Control group A (85 patients), was treated with aspirin and clopidogrel; group B (87 patients) received aspirin, clopidogrel, and tirofiban; and group C (86 patients) were treated with aspirin, ticagrelor, and tirofiban. Patients in all three groups received oral DAPT, and patients in groups B and C received intravenous tirofiban when primary PCI was performed. Results: Compared to the findings in group A, the post-PCI Thrombolysis in Myocardial Infarction (TIMI) grade 3 blood flow in groups B and C increased significantly (TIMI grade 3 in groups A, B, C: 74%, 91%, and 98%, respectively; TIMI myocardial perfusion grade [TMPG] grade 3 in groups A, B, C: 59%, 86%, and 97%, respectively), and the incidence of major adverse cardiac events (MACE) decreased significantly (p < 0.05). Compared to the findings in group B, the rate of TMPG 3 in group C was significantly higher (p < 0.05) and the incidence of MACE was significantly lower (p < 0.05). Patients in group B exhibited minor bleeding; however, the incidence of mild to moderate bleeding in group C increased significantly (p < 0.05). Conclusions: TAPT effectively improved the TIMI blood flow and TMPG and reduced the occurrence of MACE. Ticagrelor was more effective than clopidogrel in TAPT; however, when using the combination of aspirin, ticagrelor, and tirofiban, close monitoring is required for possible bleeding complications.

Background Long non-coding RNAs (lncRNAs) are pervasively transcribed in the genome. They have important regulatory functions in chromatin remodeling and gene expression. Dysregulated lncRNAs have been studied in cancers, but their role in esophageal squamous cell carcinoma (ESCC) remains largely unknown. We have conducted lncRNA expression screening and a genome-wide analysis of lncRNA and coding gene expression on primary tumor and adjacent normal tissue from four ESCC patients, tend to understand the functionality of lncRNAs in carcinogenesis of esopheagus in combination with experimental and bioinformatics approach. Methods LncRNA array was used for coding and non-coding RNA expression. R program and Bioconductor packages (limma and RedeR) were used for differential expression and co-expression network analysis, followed by independent confirmation and functional studies of inferred onco-lncRNA ESCCAL-1 using quantitative real time polymerase chain reaction, small interfering RNA-mediated knockdown, apoptosis and invasion assays in vitro. Results The global coding and lncRNA gene expression pattern is able to distinguish ESCC from adjacent normal tissue. The co-expression network from differentially expressed coding and lncRNA genes in ESCC was constructed, and the lncRNA function may be inferred from the co-expression network. LncRNA ESCCAL-1 is such an example as a predicted novel onco-lncRNA, and it is overexpressed in 65% of an independent ESCC patient cohort (n = 26). More over, knockdown of ESCCAL-1 expression increases esophageal cancer cell apoptosis and reduces the invasion in vitro. Conclusion Our study uncovered the landscape of ESCC-associated lncRNAs. The systematic analysis of coding and lncRNAs co-expression network increases our understanding of lncRNAs in biological network. ESCCAL-1 is a novel putative onco-lncRNA in esophageal cancer development. Electronic supplementary material The online version of this article (doi:10.1186/s12885-015-1179-z) contains supplementary material, which is available to authorized users.

Corneal dystrophies are rare autosomal dominant genetic diseases with diverse anatomic classification. The complexity of this disease reflects both the heterogeneity of causative gene mutations and the diversity of clinical presentations. Here, we studied and report a four-generation Chinese pedigree with corneal dystrophy, in which the clinical symptoms resemble Meesmann corneal dystrophy without the characteristic gene mutations of either KRT3 or KRT12. Targeted exon sequencing with PCR methods identified an Arg124Cys mutation in the TGFBI gene that concordant with phenotype in all affected individuals. This TGFBI mutation has been associated with multiple subtypes of corneal dystrophy. We reviewed the global reported TGFBI mutations in different ethnic groups and geographically mapped TGFBI mutations previously reported in China. The distribution of TGFBI allelic mutations may assist the clinical diagnosis of the heterogeneous, autosomal dominant corneal dystrophies.

OBJECTIVE: To determine the impact factors of latent tuberculosis infection (LTBI) and the knowledge of TB prevention and treatment policy among health care workers (HCWs) in different types of hospitals and explore the strategies for improving TB prevention and control in medical institutions in China. METHODS: A cross-sectional study was carried out to evaluate the risk of TB infection and personnel occupational protection among HCWs who directly engage in medical duties in one of two public hospitals. Each potential participant completed a structured questionnaire and performed a tuberculin skin test (TST). Factors associated with LTBI were identified by logistic regression analysis. RESULTS: Seven hundred twelve HCWs completed questionnaires and 74.3% (n = 529) took the TST or had previous positive results. The TST-positive prevalence was 58.0% (n = 127) in the infectious disease hospital and 33.9% (n = 105) in the non-TB hospital. The duration of employment in the healthcare profession (6-10 years vs. ≤5 years [OR = 1.89; 95% CI = 1.10, 3.25] and >10 vs. ≤5 [OR = 1.80; 95% CI = 1.20, 2.68]), type of hospital (OR = 2.40; 95% CI = 1.59, 3.62), and ever-employment in a HIV clinic or ward (OR = 1.87; 95% CI = 1.08, 3.26) were significantly associated with LTBI. The main reasons for an unwillingness to accept TST were previous positive TST results (70.2%) and concerns about skin reaction (31.9%). CONCLUSION: A high prevalence of TB infections was observed among HCWs working in high-risk settings and with long professional experiences in Henan Province in China. Comprehensive guidelines should be developed for different types of medical institutions to reduce TB transmission and ensure the health of HCWs.

Nowadays, cancer has been a frequent disease, and the first or second most common cause of death worldwide. Despite a better understanding of the biology of cancer cells, the therapy of most cancers has not significantly changed for the past four decades. It is because conventional chemotherapies and/or radiation therapies are usually designed to eradicate highly proliferative cells. Mounting evidence has implicated that cancer is a disease of stem cells. Cancer stem cells (CSC) are often relatively quiescent, and therefore may not be affected by therapies targeting rapidly dividing cells. Like normal stem cells (NSC) residing in a "stem cell niche" that maintains them in a stem-like state, CSC also require a special microenvironment to control their self-renewal and undifferentiated state. The "CSC niche" is likely to be the most crucial target in the treatment of cancer. In this article, we summarize the current knowledge regarding CSC and their niche microenvironments. Understanding of CSC's origin, molecular profile, and interaction with their microenvironments, this could be a paradigm shift in the treatment of cancer, away from targeting the blast cells and towards the targeting of the CSC, thus improving therapeutic outcome.

To optimize and verify the regulatory pathway of p42.3 in the pathogenesis of gastric carcinoma (GC) by intelligent algorithm.Bioinformatics methods were used to analyze the features of structural domain in p42.3 protein. Proteins with the same domains and similar functions to p42.3 were screened out for reference. The possible regulatory pathway of p42.3 was established by integrating the acting pathways of these proteins. Then, the similarity between the reference proteins and p42.3 protein was figured out by multiparameter weighted summation method. The calculation result was taken as the prior probability of the initial node in Bayesian network. Besides, the probability of occurrence in different pathways was calculated by conditional probability formula, and the one with the maximum probability was regarded as the most possible pathway of p42.3. Finally, molecular biological experiments were conducted to prove it.In Bayesian network of p42.3, probability of the acting pathway "S100A11→RAGE→P38→MAPK→Microtubule-associated protein→Spindle protein→Centromere protein→Cell proliferation" was the biggest, and it was also validated by biological experiments.The possibly important role of p42.3 in the occurrence of gastric carcinoma was verified by theoretical analysis and preliminary test, helping in studying the relationship between p42.3 and gastric carcinoma.

The CXCR4 and Nrf2 signaling pathways are abnormally activated in response to cellular stress in various types of human cancers. In this study, we examined the expression of CXCR4 and Nrf2 in colorectal cancer (CRC) tissue specimens and investigated their correlation with patient clinicopathologic characteristics. We determined CXCR4 and Nrf2 expression in 76 CRC tissue specimens and paired normal tissue specimens by immunohistochemistry and real-time PCR. We found that the protein and mRNA transcript levels of CXCR4 were significantly higher in CRC tissue specimens than in paired normal tissues, while the expressions of Nrf2 protein and mRNA were increased in CRC tissues compared to distant non-cancerous tissues. High expression level of CXCR4 was positively correlated with poorly differentiated (P = 0.031), more advanced tumor-node-metastasis (TNM) stage (P = 0.019), lymph node metastasis (P = 0.007) and distant metastasis (P = 0.018). However, the expression of Nrf2 protein was positively correlated with larger tumor size (P = 0.049), more advanced TNM stage (P = 0.013), lymph node metastasis (P = 0.016) and distant metastasis (P = 0.023). Moreover, there was a strong relationship between CXCR4 and Nrf2 expression in CRC tissues, indicating that high Nrf2 expression may contribute to CXCR4 overexpression. In addition, combined expression of CXCR4 and Nrf2 strongly correlated with lymph node metastasis and distant metastasis (P = 0.003). Furthermore, we found that combined high expression of CXCR4 and Nrf2 had stronger correlation with lymph node metastasis and distant metastasis than any single molecule did. This study indicated that the abnormal expression of CXCR4 and Nrf2 contributed to the progression of CRC.