Circular RNA hsa_circ_0049657 as a Potential Biomarker in Non-Small Cell Lung Cancer.

Non-small cell lung cancer (NSCLC) is a common lung disorder. In this study, we applied bioinformatics methods to analyze and investigate the role of the NFIX gene in NSCLC. Hsa_circ_0049657 is derived from the NFIX gene, this research aimed to verify the potential role of hsa_circ_0049657 in the development of NSCLC. The results suggested that NFIX was downregulated in most cancers. In addition, the NFIX expression in lung adenocarcinoma (LUAD) was associated with the clinicopathological stage. In LUAD, NFIX expression was associated with the degree of infiltration of most immune cells. The expression levels of hsa_circ_0049657 were significantly lower in cancerous tissues than in paracancerous tissues. Moreover, the results showed that hsa_circ_0049657 expression was downregulated in NSCLC cells. After overexpression of hsa_circ_0049657, the proliferation and migration ability of NSCLC cells were significantly inhibited and the level of apoptosis was increased. We could suppress the proliferation and invasion abilities and promote apoptosis of NSCLC cells by up-regulating hsa_circ_0049657, which might be a potential biomarker for NSCLC.

MALAT1 Polymorphisms and Lung Cancer Susceptibility in a Chinese Northeast Han Population.

Background: LncRNA MALAT1 (metastasis-associated lung adenocarcinoma transcript 1) was competitive endogenous RNA (ceRNA) involved in various molecular processes for metastasis development in lung cancer. Single nucleotide polymorphisms (SNPs) in MALAT1 gene might be predictive markers for lung cancer. In our study, we selected rs619586 and rs3200401 in MALAT1 gene to explore their effects on lung cancer susceptibility. Methods: The case-control study included 444 lung cancer cases and 460 healthy controls. Genotyping was performed by Taqman allelic discrimination method. Logistic regression, Student t-test, and Chi-square test (χ2 ) were used to analyze the data. Results: The findings of the study showed that rs3200401 was significantly associated with the risk of non-small cell lung cancer (NSCLC) and lung squamous cell carcinoma (LUSC). Compared with homozygous CC genotype, CT heterozygous genotype decreased risk of NSCLC (Pa = 0.034) and LUSC (Pa = 0.025). In addition, no statistical association was detected between rs619586 and lung cancer susceptibility. The interactions between genes and cigarette smoking were discovered via crossover analysis. However, there were no remarkable gene-environment interactions in additive and multiplicative model. Conclusion: Rs3200401 in lncRNA MALAT1 was associated with the susceptibility of non-small-cell lung cancer and lung squamous cell carcinoma. The gene-environmental (cigarette smoking) interactions were not notable.

Survival Outcome and Clinicopathologicl analysis of Homeobox gene cluster-embedded LncRNAs in Human Cancers: A Systematic Review and Meta-analysis.

OBJECTIVE: The ectopic expression of Homeobox (HOX) gene cluster-embedded long non-coding RNAs (LncRNAs) have been involved several carcinogenic development and progressions. This meta-analysis aimed to summarize the LncRNAs to validate the functions and the prognostic values in several kinds of cancer. METHODS: The retrospective study was conducted to analyze the association between HOX gene-related LncRNAs and the survival outcomes. Cochran's Q and I2 test were used for calculated heterogeneity, and I2 > 50%, P < 0.05 was conformed to the random effect model. Publication bias was indicated by Begg's and Egger's test. RESULTS: Total 15,315 patients extracting from 121 studies focused on assessing the association between LncRNAs and the survival outcomes and 12,110 participants were enrolled to address the clinicopathological features. The results demonstrated that the overexpression of HOX gene cluster-embedded LncRNAs revealed notable association among tumor size (pooled OR = 1.80), lymph node metastasis (LNM) stage (pooled OR = 3.00), tumor node metastasis (TNM) stage (pooled OR = 2.86), histological differentiation (pooled OR = 1.59) and distant metastasis (pooled OR = 2.49). Additionally, the up-regulated LncRNAs predicted a poor prognosis in overall survival (pooled HR = 1.95, 95%CI = 1.86-2.04), and also disclosed worse prognosis among the stratified analysis included HOX clusters, LncRNAs, ethnicity, and tumor classification (pooled HRs >1). CONCLUSION: In summary, the findings proved that HOX gene cluster-embedded LncRNAs acted as potential biomarkers for clinical treatment of several tumors and the overexpression might be a candidate hallmark for prognosis outcome.

The relationship between LncRNAs and lung adenocarcinoma as well as their ceRNA network.

BACKGROUND: More and more studies have shown that long non-coding RNA (LncRNA) as a competing endogenous RNA (ceRNA) plays an important role in lung cancer. Therefore, we analyzed the RNA expression profiles of 82 lung cancer patients which were all from Gene Expression Omnibus (GEO). METHODS: Firstly, we used BLASTN (evalue = 1e-10) to annotate the gene sets, performed in-group correction and batched normalization of the three data sets with R. Secondly, we used the limma and sva packages to compare tumor tissues with normal tissues. Then through WGCNA, we obtained the 4 gene modules most related to the trait. RESULTS: We intersected the genes of above 4 modules with the differential expression genes: 28 LncRNAs (up: 5, down: 23) and 265 mRNAs (up:11, down: 254). Based on these genes, we picked up 6 LncRNAs (CCDC39, FAM182A, SRGAP3-AS2, ADAMTS9-AS2, AC020907.2, SFTA1P), then set and visualized the LncRNA-miRNA-mRNA ceRNA network with 12 miRNAs related to 12 mRNAs. Finally, we performed downstream analysis of 265 mRNAs by Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and Protein-Protein Interaction (PPI) network. CONCLUSION: After analyzing, we think this study provides a new direction for basic and clinical research related to LAD, and is expected to provide new targets for early diagnosis, prognostic evaluation and clinical treatment of lung cancer.

Genetic Polymorphisms of PRNCR1 and Lung Cancer Risk in Chinese Northeast Population: A Case-Control Study and Meta-Analysis.

Long noncoding RNAs (lncRNAs) play vital roles in development and progression of various cancers. To investigate the relationship between three tag single-nucleotide polymorphisms (SNPs) (rs13252298, rs1016343, and rs1456315) in lncRNA prostate cancer-associated noncoding RNA 1 (PRNCR1) and lung cancer (LC) risk, we conducted this study. First, we performed a case-control study, including 576 LC patients and 612 cancer-free controls. Second, a meta-analysis was used to evaluate the association of selected SNPs with risk of overall cancer. We found that rs13252298 and rs1456315 were strongly correlated with risk of LC, nonsmall cell lung cancer (NSCLC), and lung adenocarcinoma. For rs13252298, individuals carrying GG genotype had increased risks of LC compared with those carrying AA genotype (adjusted odds ratio [OR] = 1.565, 95% CI = 1.091-2.245, p = 0.015). A significant result was also found in recessive model with adjusted OR of 1.719. Individuals with GG genotype of rs1456315 were at increased risks of LC compared with those carrying AA genotype. Similar results were found in NSCLC patients. Meta-analysis showed that rs1016343 and rs13252298 were associated with overall cancer. But for rs1016343, no significant association was observed in Asians. In conclusion, rs13252298 and rs1456315 in PRNCR1 may be genetic susceptibility factors for LC in Chinese population. These results need to be confirmed by further studies.

Long Non-coding RNA HOTAIR Function as a Competing Endogenous RNA for miR-149-5p to Promote the Cell Growth, Migration, and Invasion in Non-small Cell Lung Cancer.

Lung cancer is a leading cause of cancer death all around the world. Long non-coding RNAs (lncRNAs) have been confirmed to be involved in carcinogenesis of malignancies. However, the molecular mechanism of most lncRNAs in various kinds of cancers remains unclear. LncRNA HOTAIR and HNRNPA1 are reported to play an oncogenic role in non-small cell lung cancer, and the overexpression of HNRNPA1 is shown to promote the proliferation of lung adenocarcinoma cells. In our study, we find that the overexpression of HOTAIR could promote the proliferation and overexpression of miR-149-5p could inhibit the proliferation of lung cancer cells. Flow cytometric analysis determines that overexpression of miR-149-5p induces cell cycle arrest in the G0/G1 phases, whereas overexpression of HOTAIR decreases the proportion of G0/G1phase cells. Also, overexpression of HOTAIR promotes the migration and invasion ability of lung cancer cells, confirmed by the wound-healing and transwell assays, which are suppressed by overexpression of miR-149-5p. Furthermore, the dual-luciferase reporter assay indicates that miR-149-5p could bind both HOTAIR and the 3'UTR of HNRNPA1. In summary, we find that HOTAIR can regulate HNRNPA1 expression through a ceRNA mechanism by sequester miR-149-5p, which post-transcriptionally targets HNRNPA1, thus promoting lung cancer progression.

Association of LINC00673 rs11655237 polymorphism with cancer susceptibility: A meta-analysis based on 23,478 subjects.

BACKGROUND: Some studies on the relationship between LINC00673 polymorphism and cancer susceptibility have been inconsistent. To perform a more comprehensively quantitative assessment of LINC00673 rs11655237 and risk of overall cancer, we operated this meta-analysis for the first time. METHODS: A comprehensive search was conducted to obtain relevant literature up to November 20, 2019. Pooled odds ratios and 95% confidence intervals were utilized to assess rs11655237 and cancer susceptibility under five different genetic models. RESULTS: Eventually, 11 case-control studies from 9 articles were included. We found that LINC00673 rs11655237 polymorphism increased the susceptibility to overall cancer under all genetic models in the overall population. By dividing ethnicity and cancer type into subgroups, we also obtained similar positive results in subgroups of Chinese population, pancreatic cancer, cervical cancer, neuroblastoma, hepatoblastoma and gastric cancer. CONCLUSION: Overall, this meta-analysis has demonstrated for the first time that LINC00673 rs11655237 could increase susceptibility to cancer.

The Association Between Two Common Polymorphisms and Cancer Susceptibility: A Meta-Analysis.

BACKGROUND: Most studies revealed that microRNAs could play important roles in the development of various types of cancers. However, the findings remain inconsistent and controversial. To get more accurate results about the association of miR-26a-1 rs7372209 and miR-423 rs6505162 polymorphisms with risk of cancer, we conduct this meta-analysis. MATERIALS AND METHODS: We have searched relevant articles from the PubMed, Web of Science, Wanfang, and Chinese National Knowledge Infrastructure databases up to May 3, 2019. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were analyzed to assess the relationship between these two genetic polymorphisms and susceptibility to cancer. All statistical analyses were performed with Stata 12.0 software. RESULTS: Thirty-five articles were eligible in this meta-analysis, including 17,746 cases and 21,808 controls. Our results suggested that the miR-26a-1 rs7372209 polymorphism was associated with the susceptibility to overall cancer significantly in homozygote comparison and recessive model (TT versus CC: OR = 1.167, 95% CI: 1.025-1.329, P = 0.020; TT versus CT + CC: OR = 1.162, 95% CI: 1.025-1.318, P = 0.019). For miR-423 rs6505162, this study showed that the relationship between it and overall cancer susceptibility was statistically significant among five genetic models (CA versus CC: OR = 0.884, 95% CI: 0.806-0.969, P = 0.009; AA + CA versus CC: OR = 0.870, 95% CI: 0.789-0.959, P = 0.005; AA versus CA + CC: OR = 0.904, 95% CI: 0.827-0.988, P = 0.026; A versus C: OR = 0.899, 95% CI: 0.834-0.970, P = 0.006) rather than homozygote model. CONCLUSIONS: Rs7372209 in miR-26a-1 and rs6505162 in miR-423 are associated with overall cancer susceptibility.

Candidate lncRNA-microRNA-mRNA networks in predicting non-small cell lung cancer and related prognosis analysis.

PURPOSE: The role of non-coding RNA, once thought to be dark matter, is increasingly prominent in cancer. Our article explores the effect of non-coding RNA in lung adenocarcinoma and lung squamous cell carcinoma by mining TCGA public database. METHODS: Download the data by applying the official TCGA software. The data were analyzed by R data analysis packages, 'edgeR', 'gplots' and 'survival'. We better illustrate the potential networks of lung cancer genes by constructing ceRNAs, using Cytoscape software. RESULTS: We obtained genes which were differentially expressed in lung adenocarcinoma and lung squamous cell carcinoma analysis. Within these differentially expressed genes, we also conducted a survival analysis to find differentially expressed genes associated with prognosis in both lung adenocarcinoma and lung squamous cell carcinoma. Based on genes differentially expressed of both lung adenocarcinoma and lung squamous cell carcinoma, we constructed a ceRNA network to illustrate the mechanism of lung adenocarcinoma and lung squamous cell carcinoma. Our study analyzed genes which were differentially expressed in lung adenocarcinoma and lung squamous cell carcinoma using the TCGA database. CONCLUSION: Based on this, the prognosis in both lung squamous cell carcinoma and lung adenocarcinoma was analyzed. We have also constructed a ceRNA network to provide a basis for the study of ceRNA in lung adenocarcinoma and lung squamous cell carcinoma.

Polymorphisms in the PVT1 Gene and Susceptibility to the Lung Cancer in a Chinese Northeast Population: a Case-control Study.

Background: Long non-coding RNA (lncRNA) PVT1 has been identified to be related to risk of a variety of cancers, such as gastric cancer, pancreatic cancer and follicular lymphoma. This study assesses the association between genetic polymorphisms of PVT1 and the susceptibility to lung cancer as well as gene-environmental interaction. Method: A hospital-based case-control study, including 515 lung cancer patients and 582 healthy controls, was carried out in Shenyang, China. Unconditional logistic regression analyses calculated the odds ratios (ORs) and their 95% confidence intervals (CIs) to assess the associations between polymorphisms of rs2608053, rs1561927, rs13254990 and susceptibility to lung cancer. The gene-environment interaction was evaluated by additive model and multiplicative model. Results: There were no statistically significant associations between rs2608053 and rs1561927 polymorphisms in PVT1 and risk of lung cancer in the overall population. The relationship between polymorphism rs13254990 in PVT1 gene and lung adenocarcinoma was significant. Composed with individuals carrying CC genotypes, TT genotype carriers were more likely to develop lung adenocarcinoma (adjusted OR=2.095; 95%CI=1.084-4.047, P=0.028). In the recessive model, it also showed a statistically significant difference (TT vs CT+CC: adjusted OR=2.251, 95%CI=1.174-4.318, P=0.015). In nonsmokers, individuals carrying genotype CT had a lower risk of lung cancer than those with CC genotype (adjusted OR=0.673, 95%CI=0.472-0.959, P=0.028). Comparing with the homozygous CC, the patients with the heterozygous CT had a lower risk of NCSLC in the non-smoking group (adjusted OR =0.685, 95%CI=0.477-0.984, P=0.040). Additionally, gene-environment interaction results were not statistically significant in either additive model or multiplicative model. Conclusion: The polymorphism rs13254990 in PVT1 gene is associated with the risk of lung adenocarcinoma in a Chinese northeast population.

Exposure to Cigarette Smoke Augments Post-ischemic Brain Injury and Inflammation via Mobilization of Neutrophils and Monocytes.

Cigarette smoke is a major preventable risk factor of ischemic stroke. Cigarette smoke induces a significant increase in circulating leukocytes. However, it remains unclear to what extent and by what mechanisms smoke priming influences stroke severity. Here we report that exposure to cigarette smoke exacerbated ischemic brain injury in mice subjected to transient middle cerebral artery occlusion (MCAO). The augmentation of neurodeficits and brain infarction was accompanied by increased production of pro-inflammatory factors and brain infiltration of neutrophils and monocytes. Prior to brain ischemia, exposure to cigarette smoke induced mobilization of peripheral neutrophils, and monocytes. Furthermore, the detrimental effects of smoke priming on ischemic brain injury were abolished either by pharmacological inhibition of the recruitment of neutrophils and monocytes or by blockade of the NLRP3 inflammasome, an effector protein of neutrophils and monocytes. Our findings suggest that cigarette smoke-induced mobilization of peripheral neutrophils and monocytes augments ischemic brain injury.

LncRNA NEAT1 polymorphisms and lung cancer susceptibility in a Chinese Northeast Han Population: A case-control study.

BACKGROUND: Long non-coding RNA Nuclear Paraspeckle Assembly Transcript 1 (NEAT1) is a novel lncRNA localized specifically to nuclear paraspeckles. The study analyses the association between NEAT1 genetic polymorphisms and the susceptibility of lung cancer in a Chinese Northeast Population. METHODS: The NEAT1 rs512715 and rs2239895 genetic polymorphisms were genotyped in 462 lung cancer cases and 559 controls by a Real-Time Polymerase Chain Reaction (PCR) with the TaqMan discrimination assay. RESULTS: Our study found that the polymorphisms of two SNPs increased or decreased the risk of lung cancer were not obvious, but statistical significance in non-small cell lung cancer and lung squamous cell carcinoma can be observed. Compared with homozygous CC genotype carriers, the GC genotype of rs2239895 was positively related to the risk of lung squamous cell carcinoma (OR 1.805, 95% CI, 1.168-2.789, P = 0.008). Similarly, associations between rs2239895 and lung squamous cell carcinoma risk were found (CC + GC vs. GG, OR 1.668, 95%CI, 1.093-2.545, P = 0.018) in dominant model. In stratified analysis for age, rs2239895 GC genotype was observed to increase the risk of non-small-cell lung cancer compared with CC genotype (OR 1.562, 95%CI, 1.029-2.371, P = 0.036). However, the study showed that negative correlation the lung cancer risk and rs512715 polymorphisms. There was no remarkable relationship between the both additive and multiplicative model about the two SNPs. CONCLUSIONS: The polymorphisms rs2239895 were associated with the risk of lung squamous cell carcinoma. The interaction between the two SNPs and the cigarette smoking was no notable difference.

Association between polymorphism in CDKN2B-AS1 gene and its interaction with smoking on the risk of lung cancer in a Chinese population.

BACKGROUND: Long non-coding RNAs became the hot spots in the carcinogenesis of various tumors. This case-control study evaluated the association between the rs2151280 in lncRNA CDKN2B-AS1 and lung cancer risk. METHODS: This study included 507 lung cancer patients and 542 healthy individuals. Odds ratios and their 95% confidence intervals were calculated by unconditional logistic regression analysis to evaluate the association between the rs2151280 and lung cancer risk. RESULTS: Compared with individuals carrying TT genotype, individuals carrying CC genotype of rs2151280 had a decreased risk of lung cancer (OR = 0.640, 95%CI = 0.421-0.972, P = 0.036). In the recessive model, rs2151280 CC genotype was observed to reduce the risk of lung cancer (OR = 0.684). C allele was associated with non-small cell lung cancer risk (OR = 0.674). The rs2151280 was significantly associated with lung adenocarcinoma risk (CCvsTT: OR = 0.567, 95%CI = 0.333-0.965, P = 0.037; CCvsTC+TT: OR = 0.543, 95%CI 0.330-0.893, P = 0.016, respectively). However, there was no significant association between rs2151280 and lung squamous cell carcinoma risk in five models. The quantitative analysis suggested that there were no significant interactions of rs2151280 with smoking exposure to lung cancer susceptibility. CONCLUSIONS: This hospital-based case-control study suggested that CDKN2B-AS1 rs2151280 T>C was associated with the risk of lung cancer.

Polymorphisms in Long Noncoding RNA-Prostate Cancer-Associated Transcript 1 Are Associated with Lung Cancer Susceptibility in a Northeastern Chinese Population.

Long noncoding RNAs (lncRNAs) are a new class of potential biomarkers and therapeutic targets for cancer. In this study, we chose four single nucleotide polymorphisms (SNPs) in lncRNA-PCAT1 (rs1026411 G>A, rs12543663 A>C, rs710886 T>C, and rs16901904 T>C) to investigate the association between genetic variant in lncRNA-PCAT1 and susceptibility to lung cancer. The study was a hospital-based case-control study including 561 cancer-free controls and 468 lung cancer cases. Genotyping of four SNPs was conducted by using Taqman® allelic discrimination methods. All statistical analyses were performed by using IBM SPSS Statistics 22 software. We failed to find significant associations between four SNPs and lung cancer risk in all models. However, polymorphisms in rs1026411 and rs710886 were observed to have significant associations with susceptibility to non-small cell lung cancer (AG vs. GG: odds ratio [OR]a = 0.701, p* = 0.020 and AA+AG vs. GG: ORa = 0.711 [superscript "a" refers to OR adjusted by age, gender, and smoking], p* = 0.017 [asterisks "*" refers to p adjusted by age, gender, and smoking] for rs1026411; CT vs. TT: ORa = 0.723, p* = 0.047 and CC+CT vs. TT: ORa = 0.729, p* = 0.038 for rs710886). Besides, the rs1026411 polymorphism had a similar association with lung adenocarcinoma risk (AG vs. GG: ORa = 0.663, p* = 0.019 and AA+AG vs. GG: ORa = 0.685, p* = 0.020). Polymorphisms in rs710886 and rs16901904 were observed to be associated with lung squamous cell carcinoma risk (CC+CT vs. TT: ORa = 0.638, p* = 0.040 for rs710886; CC vs. TT: ORa = 2.582, p* = 0.033 and CC vs. TT+CT: ORa = 2.381, p* = 0.048 for rs16901904). In addition, there were no significant results in gene-environmental interactions in both additive and multiplicative models. Our results suggested that polymorphisms in lncRNA-PCAT1 might be associated with lung cancer susceptibility in a northeastern Chinese population. The results of gene-environmental interactions were not significant in lung cancer.

Diagnostic performance of circular RNAs in human cancers: A systematic review and meta-analysis.

BACKGROUND: Recently, accumulating evidence have revealed that circular RNA (circRNA) was deregulated in multiple types of cancer, suggesting that circRNA might serve as a novel candidate biomarker of cancer diagnosis. However, inconsistent results have become an obstacle in applying circRNAs to clinical practice. The aim of this study is to evaluate diagnostic value of circRNAs among cancers. METHODS: A literature search was systematically performed among PubMed, Sciencedirect, Cochrane Library, Web of Science, Wanfang, and Chinese National Knowledge Infrastructure databases up to February 15, 2019. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratios, negative likelihood ratios, diagnostic odds ratio, and area under the SROC curve (AUC) were applied to evaluate diagnostic performance of circRNAs. RESULTS: In total, the study included 64 studies with single circRNA and 13 studies with combined circRNAs. Overall, the study presented that a single circRNA had moderate diagnostic value, with a SEN of 0.75, a SPE of 0.76, and an AUC of 0.82. The plasma circRNAs had higher diagnostic accuracy than tissue (AUC: 0.87, 95% confidence interval [CI]: 0.83-0.89 for plasma/serum subgroup; AUC: 0.79, 95% CI: 0.75-0.82 for tissue subgroup). Furthermore, the combined circRNAs had good diagnostic efficacy for GC, with a SEN of 0.89, a SPE of 0.94, and an AUC of 0.97, respectively. CONCLUSION: This study confirmed that circRNAs may be candidate biomarkers for cancer diagnosis. In particular, diagnosis of combined circRNAs will be a new alternative applied to clinical research and practice for cancer.

Genetic variants in lncRNA HOTAIR are associated with lung cancer susceptibility in a Chinese Han population in China: a case-control study.

PURPOSE: HOX transcript antisense RNA (HOTAIR) plays important roles in carcinogenesis of various kinds of malignant tumors, including lung cancer. Single nucleotide polymorphisms (SNPs) in HOTAIR were reported to be associated with susceptibility of several kinds of cancers. The present study assessed the associations between three SNPs (rs4759314, rs12826786, and rs920778) and lung cancer susceptibility, as well as gene-environment interaction between smoking exposure and the polymorphisms. PATIENTS AND METHODS: A case-control study including 551 patients and 543 healthy controls was performed. The associations between SNPs and lung cancer susceptibility were assessed by logistic regression model. RESULTS: rs4759314 was observed to increase the susceptibility of lung cancer, lung adenocarcinoma, squamous lung cancer, and small cell lung cancer statistically significantly (OR of 4.048 for lung cancer; 3.584 for lung adenocarcinoma; 4.671 for squamous lung cancer; 4.502 for small cell lung cancer). In stratified analysis for sex and smoking exposure, rs4759314 GG and AG genotype was also observed to increase the risk of lung cancer statistically significantly (OR of 5.221 for male; 3.491 for female; 3.653 for nonsmoking individuals; 4.458 for smoking individuals). Results of gene-environment interaction analysis showed that there was no interaction between smoking exposure and rs4759314 on additive scale. Results of logistic regression model suggested that the interaction between smoking and rs4759314 was statistically significant on multiplicative scale. rs12826786 CT genotype carriers and T allele could decrease the risk of developing lung cancer (OR of 0.751 for CT carriers; 0.785 for T allele), and in dominant model, TC and TT genotype carriers also have a 0.249-fold decrease risk compared with CC genotype carriers. In stratified analysis for smoking exposure, TC and TT have a 0.432-fold decreased risk compared with CC genotype carriers. CONCLUSION: HOTAIR rs4759314 and rs12826786 were associated with lung cancer susceptibility in Chinese Han population.

Association between lncRNA CASC8 polymorphisms and the risk of cancer: a meta-analysis.

OBJECTIVE: To explore the relationship between single-nucleotide polymorphisms (SNPs) in one of the long noncoding RNA (lncRNA), cancer susceptibility candidate 8 (CASC8) gene and the risk of cancer. MATERIALS AND METHODS: A meta-analysis was conducted to summarize the relationship between common SNPs (rs10505477 and rs7837328) in the lncRNA CASC8 gene and the risk of cancer. The relevant references were retrieved from several authoritative databases. Rigorous inclusion and exclusion criteria were adopted to ensure the credibility of the results. The fixed effects or random effects model was used to calculate the OR and 95% CI. We tested for publication bias. RESULTS: Fifteen articles containing 20 datasets (24,504 cases and 22,969 controls) were finally included in the meta-analysis. Compared to the individuals carrying the rs10505477 TT genotype, those with the TC or CC genotype had a decreased risk of cancer (TC vs TT: OR 0.876, 95% CI 0.832-0.923, P<0.001; CC vs TT: OR 0.748, 95% CI 0.703-0.795, P<0.001). Allele C of rs10505477 might be a protective factor for decreasing susceptibility to cancer (OR 0.866, 95% CI 0.840-0.893, P<0.001). As for rs7837328, the GA and AA genotypes were associated with increased risks of cancer as compared to the GG genotype (ORs 1.209 and 1.336; 95% CIs 1.127-1.298 and 1.202-1.484, respectively); its A allele could significantly increase the risk of cancer compared with the G allele (OR 1.169, 95% CI 1.114-1.227, P<0.001). CONCLUSION: The rs10505477 and rs7837328 polymorphisms might be associated with risk of cancer.

Polymorphisms in the H19 gene and the risk of lung Cancer among female never smokers in Shenyang, China.

BACKGROUND: Long non-coding RNA (lncRNA) H19 is a hot spot in tumor development, progression and metastasis. This study assessed the association between H19 genetic polymorphisms and the susceptibility of lung cancer. METHODS: The case-control study was conducted to evaluate the association between four selected single nucleotide polymorphisms (rs217727, rs2107425, rs2735469 and rs17658052) in H19 gene and the risk of lung cancer. There were 556 female never smoking lung cancer patients and 395 cancer-free controls. Unconditional logistic regression analysis was used to analyze the associations between four SNPs and lung cancer risks by calculating the odds ratios and their 95% confidence intervals. The gene-environment interactions were assessed on both additive and multiplicative scales. RESULTS: Compared with carriers carrying homozygous CC genotype, there was a statistically significant increased risk of lung cancer for carriers of the rs2107425 TT genotype (odds ratio = 1.599, 95%CI = 1.106-2.313, P = 0.013). In both dominant and recessive models, significant associations were found between rs2107425 and lung cancer risk, and the corresponding odds ratios were 1.346 (1.022-1.774) and 1.400 (1.011-1.937), with P values 0.035 and 0.043, respectively. There was no significant correlation between lung cancer risk and rs2735469, rs217727 and rs17658052. Interaction analysis showed that their combined effects had a greater impact on lung cancer than individual effects of polymorphism and cooking smoke exposure. However, further analysis showed that the both additive model and the multiplicative model were not statistically significant. CONCLUSION: The polymorphism rs2107425 in H19 gene was associated with the risk of lung cancer among female who never smokes in Shenyang, China.