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It is hypothesized that vitamin B12 may prevent tumor initiation during the early stage of carcinogenesis such as esophageal precancerous lesions (EPL), whereas an excessive level may promote tumor progression during the later stages of carcinogenesis. This study aimed to determine the role of vitamin B12 in EPL by detecting vitamin B12-related markers in both blood and diet. This case–control study based on 3-day duplicated diet samples was conducted in a high-risk area of Huai'an, China. A 100 EPL cases and 100 healthy controls matched by gender, age (± 2 years) and villages were included. Dietary intake of vitamin B12 and cobalt, plasma cobalt level, the serum levels of vitamin B12 and transcobalamin II (TC II) were quantitatively analyzed. Dietary vitamin B12 intake (p for trend = 0.384) and plasma cobalt level (p for trend = 0.253) were not associated with EPL risk, but high dietary cobalt intake (p for trend = 0.034), increased serum levels of vitamin B12 (p for trend = 0.036) and TC II (p for trend

Fanconi anemia (FA) pathway is a typical and multienzyme-regulated DNA damage repairer that influences the occurrence and development of disease including cancers. Few comprehensive analyses were reported about the role of FA-related genes (FARGs) and their prognostic values in cancers. In this study, a comprehensive pan-cancer analysis on 79 FARGs was performed. According to the correlation analyses between HPV integration sites and FARGs, we found that FARGs played specific and critical roles in HPV-related cancers, especially in cervical cancer (CC). Based on this, a FARGs-associated prognostic risk score (FPS) model was constructed, and subsequently a nomogram model containing the FPS was developed with a good accuracy for CC overall survival (OS) and recurrence-free survival (RFS) outcome prediction. We also used the similar expression pattern of FARGs by consensus clustering analysis to separate the patients into three subgroups that exhibited significant differential OS but not RFS. Moreover, differential expressed genes (DEGs) between the two risk groups or three clusters were identified and immune pathways as well as cell adhesion processes were determined by functional enrichment analysis. Results indicated that FARGs might promote occurrence and development of CC by regulating the immune cells’ infiltration and cell adhesion. In addition, through the machine learning models containing decision tree, random forest, naïve bayes, and support vector machine models, screening of important variables on CC prognosis, we finally determined that ZBTB32 and CENPS were the main elements affecting CC OS, while PALB2 and BRCA2 were for RFS. Kaplan-Meier analysis revealed that bivariate prediction of CC outcome was reliable. Our study systematically analyzed the prognostic prediction values of FARGs and demonstrated their potential mechanism in CC aggressiveness. Results provided perspective in FA pathway-associated modification and theoretical basis for CC clinical treatments.

Esophageal cancer (EC) is the seventh most common tumor in the world, ranking the sixth leading cause of cancer death, with a 5-year survival rate of 15-25%. Therefore, reliable prognostic biomarkers are needed to effectively predict the prognosis of EC. In this study, the gene profile information of the EC cohort served as a training set, which was derived from TCGA and Immport databases. GO and KEGG enrichment analysis was performed on the differential genes in normal and tumor groups of EC. The immune genes in differentially expressed genes (DEGs) were further obtained for univariate and multivariate Cox and Lasso regression analysis, and 6 independent immune genes (S100A3, STC2, HSPA6, CCL25, GPER1, and OSM) associated with prognosis were obtained to establish an immune risk score signature (IRSS). The signature was validated using head and neck cancers (HNSC) and gastric cancer (GC)in upper gastrointestinal malignancies as validation sets. The Kaplan-Meier results showed that the prognosis of the high-risk group was significantly favorable than that of the low-risk group in both the training set (P < 0.001; HR = 3.68, 95% CI = 2.14−6.35) and the validation set (P = 0.010; HR = 1.43, 95% CI = 1.09−1.88). A nomogram combining multiple clinical information and IRSS was more effective than a single independent prognostic factor in predicting outcome. This study explored the potential link between immunity and EC, and established and validated prognostic biomarkers that can effectively predict the prognosis of EC, HNSC and GC based on six immune genes.

Background To rummage autophagy-related prognostic, diagnostic, and therapeutic biomarkers in cervical cancer (CC). Methods The RNA-sequence and clinical information were from the TCGA and GTEx databases. We operated Cox regression to determine signatures related to overall survival (OS) and recurrence-free survival (RFS) respectively. The diagnostic and therapeutic effectiveness of prognostic biomarkers were further explored. Results We identified nine (VAMP7, MTMR14, ATG4D, KLHL24, TP73, NAMPT, CD46, HGS, ATG4C) and three risk signatures (SERPINA1, HSPB8, SUPT20H) with prognostic values for OS and RFS respectively. Six risk signatures (ATG4C, ATG4D, CD46, TP73, SERPINA1, HSPB8) were selected for qPCR. We screened five prognostic signatures(ATG4C, CD46, HSPB8, MTMR14, NAMPT) with diagnostic function through the GEO database. Correlation between our models and treatment targets certificated the prognostic score provided a reference for precision medicine. Conclusions We constructed OS and RFS prognostic models in CC. Autophagy-related risk signatures might serve as diagnostic and therapeutic biomarkers.

Tobacco smoking is an established risk factor for squamous cell carcinoma (SCC). We obtained smoking-related SCC, including cervical SCC (CSCC), esophageal SCC (ESCC), head and neck SCC (HNSC), and lung SCC (LUSC), from The Cancer Genome Atlas (TCGA) database to investigate the association between smoking status (reformed and current smoking) and prognosis. We found that reformed smokers had a better prognosis than current smokers in CSCC (p = 0.003), HNSC (p = 0.019), and LUSC (p < 0.01) cohorts. Then, we selected LUSC cohorts as the training cohort and other SCC cohorts as the test cohorts. Function analysis revealed that homologous recombination (HR) was the most significant pathway involved in smoking-induced LUSC. Moreover, the effect of cross-talk between the smoking status and HR deficiency (HRD) on the prognosis was further evaluated, revealing that quitting smoking with high HRD scores could significantly improve patients’ prognosis (p < 0.01). To improve prognosis prediction and more effectively screen suitable populations for platinum drugs and poly-ADP-ribose polymerase (PARP) inhibitors, we constructed a risk score model using smoking- and HRD-related genes in LUSC. The risk score model had high power for predicting 2-, 3-, and 5-year survival (p < 0.01, AUC = 0.67, 0.66, and 0.66). In addition, the risk scores were an independent risk factor for LUSC (HR = 2.34, 95%CI = 1.70–3.23). The practical nomogram was also built using the risk score, smoking status, and other clinical information with a good c-index (0.72, 95%CI = 0.70–0.74). Finally, we used other TCGA SCC cohorts to confirm the reliability and validity of the risk score model (p < 0.01 and AUC > 0.6 at 2, 3, and 5 years in CSCC and HNSC cohorts). In conclusion, the present study suggested that smoking cessation should be a part of smoking-related SCC treatment, and also provided a risk score model to predict prognosis and improve the effectiveness of screening the platinum/PARP population.

Previously, we have identified single nucleotide polymorphisms (SNPs) rs7958904 and rs4759314 in long non-coding RNA HOX transcript antisense RNA (HOTAIR) were significantly associated with risk of colorectal and gastric cancer, respectively. Here, we aimed to investigate the association between HOTAIR SNPs and cervical cancer (CC) susceptibility. A total of 1209 cases and 1348 controls were enrolled for association study and genotyped with TaqMan allelic discrimination method. The Cancer Genome Atlas (TCGA) database was utilized for in vivo analysis of allele-specific HOTAIR expression. MTT assay was employed for evaluation of allele-specific cell proliferation. The rs7958904 CC genotype was related to an increased risk of cervical cancer compared with the GG/GC genotypes (OR = 1.57, 95% CI = 1.10–2.25). TCGA database showed the CC tissues with rs7958904 CC genotype had higher HOTAIR expression than those with GG genotype (P = 0.046). MTT assay demonstrated a growth-promoting role of rs7958904 C allele on CC cells. Further functional studies on the effect of rs7958904 on biological behavior of CC cells are needed to confirm and extend our findings. In conclusion, HOTAIR rs7958904 might influence CC susceptibility through modulation of CC cell proliferation, and could serve as a diagnostic biomarker.

Recently, several studies have showed that FAS (rs2234767, rs1800682) and FASL (rs763110) functional single nucleotide polymorphisms (SNPs) were associated with the risk of various cancers. However, the association between cervical cancer risk and the three SNPs above remained inconclusive. In this work, we performed a two-stage case-control study on 1155 cervical cancer patients and 1252 matched healthy controls to determine the roles of the mentioned SNPs in cervical cancer susceptibility. We genotyped the FAS rs2234767, rs1800682, and FASL rs763110 polymorphisms by using PCR-TaqMan assays. Results revealed that the rs763110 TT genotype significantly increased the risk of cervical cancer compared with the CC/CT genotype (adjusted OR = 1.70, 95% CI = 1.19–2.42). However, we did not observe any association between the cervical cancer risk and the rs2234767 and rs1800682 polymorphisms. The immunohistochemistry assay showed that patients carrying the rs763110 TT genotype presented a lower cancerous FASL expression than that of the CC/CT genotypes. Chromatin immunoprecipitation (ChIP) and Sequential Chromatin immunoprecipitation (Re-ChIP) assays also demonstrated that OCT1 was recruited to the FASL promoter region and regulated the FASL gene transcription by interacting with C/EBPβ. In conclusion, this study provided evidence indicating that the rs763110 variant in the FASL promoter was associated with the risk of cervical cancer by affecting the binding affinity of the CEBP/β/OCT1 complex to chromatin. This article is protected by copyright. All rights reserved.

Needlestick and sharps injuries (NSIs) are a major occupational injury to health care workers worldwide. This study aimed to report the prevalence and risk factors of NSIs among nurses working at a Chinese teaching hospital. From 463 nurses, 402 completed questionnaires were obtained. A total of 261 (64.9%) nurses reported needlestick or sharps injuries. NSIs were more common among females, young nurses, surgical nurses, and junior nurses. Logistic regression analysis suggests that age and work department were independent risk factors for NSIs. By type of devices, syringe needles accounted for the highest proportion of all NSIs (59%), followed by glass items (22%), and trocar core/catheter wires (4%). NSIs remain an important occupational hazard issue or Chinese nurses. Programs must be developed to prevent injuries caused by needlesticks and sharps.

This study describes electric bike–related injuries from 2004 to 2010, and suggests injury prevention strategies to reduce electric bike–related injuries in China and other countries. Electric bike–related injuries data were obtained from the Bureau of Traffic Management at the Ministry of Public Security. Linear regression was used to identify statistically significant trends in electric bike–related injuries over the period. The results showed electric bike–related nonfatal injury rate had increased almost 4-fold and mortality rate increased 6-fold from 2004 to 2010. Linear regression showed a significant increase of 0.23 per 100 000 population per year (95% confidence interval = 0.18-0.29, P < .001) in the casualty rate from electric bike–related road traffic injuries. China will face new challenges arising from electric bike–related injuries. Programs need to be developed to prevent nonfatal injuries and fatalities caused by electric bike–related crashes in this country.

Genetic variants in miRNAs have attracted more and more attention these years because they are capable of altering miRNA function and/or expression, consequently affecting downstream biological pathways and disease risk. The rs767649 polymorphism, locating in the promoter of miR-155, was recently reported to be able to alter transcriptional activity of miR-155 and relate to lung cancer risk. In this study, we aimed to assess the relationship between rs767649 and cervical cancer (CC) risk. We investigated the association of rs767649 with CC risk in a two-stage case-control study with 1157 cases and 1280 controls. Genotyping was determined with TaqMan allelic discrimination method. The results showed that the rs767649 TT genotype was associated with a significantly reduced risk of CC in both test (549 cases and 603 controls), validation (608 cases and 677 controls) and combined sets [adjusted odds ratio (OR) = 0.67, 95% confidence interval (CI) = 0.51–0.87 for the combined set] compared with the AA/AT genotypes. Moreover, the association was more prominent among patients of age > 49 years and postmenopausal status (OR = 0.56, 95% CI = 0.38–0.83, and 0.60, 0.40–0.89, respectively) and patients with clinical stage I and II CC (OR = 0.67, 95% CI = 0.50–0.91, and 0.60, 0.40–0.92, respectively). Further analyses showed that miR-155 was overexpressed in the CC tissues as compared with normal tissues, suggesting an oncogenic role in CC. Luciferase assay indicated that the transition of A to T allele might lead to miR-155 downregulation at the transcriptional level. In conclusion, rs767649 might be a causal variant for CC susceptibility.

Purpose Road traffic injuries have become a major public health problem in China. This study aimed to develop statistical models for predicting road traffic deaths and to analyze seasonality of deaths in China. Methods A seasonal autoregressive integrated moving average (SARIMA) model was used to fit the data from 2000 to 2011. Akaike Information Criterion, Bayesian Information Criterion, and mean absolute percentage error were used to evaluate the constructed models. Autocorrelation function and partial autocorrelation function of residuals and Ljung–Box test were used to compare the goodness-of-fit between the different models. The SARIMA model was used to forecast monthly road traffic deaths in 2012. Results The seasonal pattern of road traffic mortality data was statistically significant in China. SARIMA (1, 1, 1) (0, 1, 1)12 model was the best fitting model among various candidate models; the Akaike Information Criterion, Bayesian Information Criterion, and mean absolute percentage error were −483.679, −475.053, and 4.937, respectively. Goodness-of-fit testing showed nonautocorrelations in the residuals of the model (Ljung–Box test, Q = 4.86, P = .993). The fitted deaths using the SARIMA (1, 1, 1) (0, 1, 1)12 model for years 2000 to 2011 closely followed the observed number of road traffic deaths for the same years. The predicted and observed deaths were also very close for 2012. Conclusions This study suggests that accurate forecasting of road traffic death incidence is possible using SARIMA model. The SARIMA model applied to historical road traffic deaths data could provide important evidence of burden of road traffic injuries in China.