Background: This study searched for immune-related long noncoding RNAs (lncRNAs) to predict the prognosis of patients with cervical cancer. Method: We obtained immunologically relevant lncRNA expression profiles and clinical follow-up data from cervical cancer patients from The Cancer Genome Atlas database and the Molecular Signatures Database. Cervical cancer patients were randomly divided into a training group, testing group and combined group. The immune prognostic signature was constructed by Least Absolute Shrinkage and Selection Operator Cox regression, prognosis was analyzed by Kaplan–Meier curves between different groups, and the accuracy of the prognostic model was assessed by receiver operating characteristic-area under the curve (ROC-AUC) analysis. Results: A six-lncRNA immune prognostic signature (LIPS) was constructed to predict the prognosis of cervical cancer. The six lncRNAs are as follows: AC009065.8, LINC01871, MIR210HG, GEMIN7-AS1, GAS5-AS1, and DLEU1. A ROC-AUC analysis indicated that the model could predict the prognosis of cervical cancer patients in different subgroups. A Kaplan–Meier analysis showed that patients with high risk scores had a poor prognosis; these results were equally meaningful in the subgroup analyses. Risk scores differed depending on the clinical pathology and tumor grade and were independent risk factors for cervical cancer prognosis. Gene set enrichment analysis revealed an association between the LIPS and the immune response, Wnt signaling pathway, and TGF beta signaling pathway. Conclusion: Our study shows that the six-LIPS can predict the prognosis of cervical cancer and contribute to decisions regarding the immunotherapeutic strategy.

To assess the association between exposure to the tobacco, heavy metals and phthalate on early pregnancy and missed abortion. 42 women with missed abortion and 57 matched controls (women with normal pregnancies) were recruited between March and May 2012, from the Department of Gynecology and Obstetrics, First Affiliated Hospital of Guangxi Medical University and the People Hospital of Guangxi Zhuang Autonomous Region. The questionnaire survey was carried on to learn about the basic conditions, as well as smoking history of all participants. The levels of tobacco, heavy metal, and phthalate exposure were compared between the 2 groups by measuring nicotine, cocaine, cadmium (Cd), manganese (Mn), plumbum (Pb) and dimethyl phthalate (DMP), diethyl phthalate (DEP), dibutyl phthalate (DBP), butyl benzyl phthalate (BBP), di-2-ethyl hexyl phthalate (DEHP) in the hair samples. Out results showed that significant differences in age (P = .042), premarital examination (P = .041), passive smoking (P = .021), and heavy metal exposure (P = .022) were found in the case group compared to the control. In addition, the concentration of nicotine (P = .037), cotinine (P = .018), Cd (P = .01), Pb (P = .038) and DEHP (P = .001) in the hair were significantly higher in the case group. Furthermore, logistic analysis revealed that age [Odds Ratio (OR) 1.172, 95% confidence interval (CI) 1.036–1.327], Cd (OR 8.931, 95% CI 2.003–39.811), Cotinine (OR 4.376, 95% CI 1.159–16.531), DEHP (OR 1.863, 95% CI 1.103–3.146) were important factors contributing to the missed abortion (P < .05). It was demonstrated that high gestational age, passive smoking, heavy metals, and the phthalate exposure were the risk factors for missed abortion, while the premarital health examination was a protective factor. Avoiding these harmful substances before getting pregnant and during the early stages of pregnancy, might help prevent missed abortions.

Preterm birth (PTB), a serious adverse birth outcome, is the leading cause of perinatal mortality and morbidity. Bisphenols induce endocrine disruption that spreads across the placenta, which may affect fetal growth and development. However, the effects of bisphenols on PTB, particularly their combined effects, remain unknown. This study investigated the association between prenatal bisphenol exposure and PTB. Study participants were 2023 mother-infant pairs that were selected from the Guangxi Zhuang Birth Cohort. Maternal serum bisphenol levels were measured using ultrahigh performance liquid chromatography-tandem mass spectrometry, and pregnancy outcomes were obtained from medical records. Multivariate logistic regression, restricted cubic spline, principal component analysis (PCA), quantile g-computation (Qgcomp), and Bayesian kernel machine regression (BKMR) were used to examine the association between serum bisphenol levels and PTB. Ln-transformed BPA concentrations were associated with an increased risk of PTB only in female infants (OR = 1.30, 95% CI: 1.02, 1.64). Ln-transformed bisphenol F (BPF) concentrations were positively associated with the risk of PTB (OR = 1.73, 95% CI: 1.18, 2.55). Inverse U-shaped relationships were observed between bisphenol B (BPB), bisphenol S (BPS), and tetrabromobisphenol A (TBBPA) levels and the risk of PTB (P-overall < 0.05, P-non-linear < 0.05). After sex stratification, the association between BPA analogs and PTB was only observed in males. In Qgcomp analysis, bisphenol mixtures were related to an increased risk of PTB (OR = 1.52, 95% CI: 1.04, 2.21), with BPF (43.7%), BPS (29.6%) and BPA (26.8%) having the greatest positive contribution. Results indicate that prenatal exposure to bisphenol mixtures might increase the risk of PTB, which might be primarily driven by BPA, BPF and BPS. There may also be sex-specific and nonmonotonic dose-dependent effects.

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths. The average survival and 5-year survival rates of HCC patients still remains poor. Thus, there is an urgent need to better understand the mechanisms of cancer progression in HCC and to identify useful biomarkers to predict prognosis. Public data portals including Oncomine, The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) profiles were used to retrieve the HCC-related microarrays and to identify potential genes contributed to cancer progression. Bioinformatics analyses including pathway enrichment, protein/gene interaction and text mining were used to explain the potential roles of the identified genes in HCC. Quantitative real-time polymerase chain reaction analysis and Western blotting were used to measure the expression of the targets. The data were analysed by SPSS 20.0 software. We identified 80 genes that were significantly dysregulated in HCC according to four independent microarrays covering 386 cases of HCC and 327 normal liver tissues. Twenty genes were consistently and stably dysregulated in the four microarrays by at least 2-fold and detection of gene expression by RT-qPCR and western blotting showed consistent expression profiles in 11 HCC tissues compared with corresponding paracancerous tissues. Eleven of these 20 genes were associated with disease-free survival (DFS) or overall survival (OS) in a cohort of 157 HCC patients, and eight genes were associated with tumour pathologic PT, tumour stage or vital status. Potential roles of those 20 genes in regulation of HCC progression were predicted, primarily in association with metastasis. INTS8 was specifically correlated with most clinical characteristics including DFS, OS, stage, metastasis, invasiveness, diagnosis, and age. The significantly dysregulated genes identified in this study were associated with cancer progression and prognosis in HCC, and might be potential therapeutic targets for HCC treatment or potential biomarkers for diagnosis and prognosis.