METTL14 regulates CD8+T-cell activation and immune responses to anti-PD-1 therapy in lung cancer.

BACKGROUND: N6-methyladenosine (m6A) modification plays an important role in lung cancer. However, methyltransferase-like 14 (METTL14), which serves as the main component of the m6A complex, has been less reported to be involved in the immune microenvironment of lung cancer. This study aimed to analyze the relationship between METTL14 and the immune checkpoint inhibitor programmed death receptor 1 (PD-1) in lung cancer. METHODS: CCK-8, colony formation, transwell, wound healing, and flow cytometry assays were performed to explore the role of METTL14 in lung cancer progression in vitro. Furthermore, syngeneic model mice were treated with sh-METTL14 andan anti-PD-1 antibody to observe the effect of METTL14 on immunotherapy. Flow cytometry and immunohistochemical (IHC) staining were used to detect CD8 expression. RIP and MeRIP were performed to assess the relationship between METTL14 and HSD17B6. LLC cells and activated mouse PBMCs were cocultured in vitro to mimic immune cell infiltration in the tumor microenvironment. ELISA was used to detect IFN-γ and TNF-α levels. RESULTS: The online database GEPIA showed that high METTL14 expression indicated a poor prognosis in patients with lung cancer. In vitro assays suggested that METTL14 knockdown suppressed lung cancer progression. In vivo assays revealed that METTL14 knockdown inhibited tumor growth and enhanced the response to PD-1 immunotherapy. Furthermore, METTL14 knockdown enhanced CD8+T-cell activation and infiltration. More importantly, METTL14 knockdown increased the stability of HSD17B6 mRNA by reducing its m6A methylation. In addition, HSD17B6 overexpression promoted the activation of CD8+ T cells. CONCLUSION: The disruption of METTL14 contributed to CD8+T-cell activation and the immunotherapy response to PD-1 via m6A modification of HSD17B6, thereby suppressing lung cancer progression.

SIRT3-dependent mitochondrial redox homeostasis mitigates CHK1 inhibition combined with gemcitabine treatment induced cardiotoxicity in hiPSC-CMs and mice.

Administration of CHK1-targeted anticancer therapies is associated with an increased cumulative risk of cardiac complications, which is further amplified when combined with gemcitabine. However, the underlying mechanisms remain elusive. In this study, we generated hiPSC-CMs and murine models to elucidate the mechanisms underlying CHK1 inhibition combined with gemcitabine-induced cardiotoxicity and identify potential targets for cardioprotection. Mice were intraperitoneally injected with 25 mg/kg CHK1 inhibitor AZD7762 and 20 mg/kg gemcitabine for 3 weeks. hiPSC-CMs and NMCMs were incubated with 0.5 uM AZD7762 and 0.1 uM gemcitabine for 24 h. Both pharmacological inhibition or genetic deletion of CHK1 and administration of gemcitabine induced mtROS overproduction and pyroptosis in cardiomyocytes by disrupting mitochondrial respiration, ultimately causing heart atrophy and cardiac dysfunction in mice. These toxic effects were further exacerbated with combination administration. Using mitochondria-targeting sequence-directed vectors to overexpress CHK1 in cardiomyocyte (CM) mitochondria, we identified the localization of CHK1 in CM mitochondria and its crucial role in maintaining mitochondrial redox homeostasis for the first time. Mitochondrial CHK1 function loss mediated the cardiotoxicity induced by AZD7762 and CHK1-knockout. Mechanistically, mitochondrial CHK1 directly phosphorylates SIRT3 and promotes its expression within mitochondria. On the contrary, both AZD7762 or CHK1-knockout and gemcitabine decreased mitochondrial SIRT3 abundance, thus resulting in respiration dysfunction. Further hiPSC-CMs and mice experiments demonstrated that SIRT3 overexpression maintained mitochondrial function while alleviating CM pyroptosis, and thereby improving mice cardiac function. In summary, our results suggest that targeting SIRT3 could represent a novel therapeutic approach for clinical prevention and treatment of cardiotoxicity induced by CHK1 inhibition and gemcitabine.

Cytoplasmic localization of IRF5 induces Wnt5a/E-cadherin degradation and promotes gastric cancer cells metastasis.

IRF5, a nucleoplasm shuttling protein, is a pivotal transcription factor regulating immune system activity. It's well known that immunosuppression is involved in the development of gastric cancer. However, no data exist for the expression and function of IRF5 in gastric cancer. This study demonstrated that IRF5 was cytoplasm-enriched in gastric cancer cells. IRF5 promoted gastric cancer cell migration, which involved the inhibition of Wnt5a and E-cadherin proteins expression. IRF5 (LA) localized in nucleus had no significant effect on Wnt5a and E-cadherin expressions, while mutation of IRF5 (ΔNLS), which prevents IRF5 nuclear translocation, had more impact on these inhibitory effects. In addition, degradation rates of both Wnt5a and E-cadherin were enhanced by resiquimod, an IRF5 agonist. Further in vivo experiments indicated that IRF5 knockout of gastric cancer cells repressed their pulmonary metastasis in nude mice. Finally, the expression and clinical significance of IRF5 were analyzed using gastric cancer tissue microarrays, which suggested that the expression of IRF5 varied procedurally in different progressive stages of gastric cancer. Our data revealed that IRF5 cytoplasmic localization were associated with Wnt5a and E-cadherin degradation and gastric cancer cell metastasis. Inhibiting IRF5 expression and/or its cytoplasmic localization may provide a novel target for gastric cancer therapy.

Coexistence of a novel NBEA-ALK, EML4-ALK double-fusion in a lung adenocarcinoma patient and response to alectinib: A case report.

OBJECTIVES: The echinoderm microtubule-associated protein-like 4 gene (EML4) and anaplastic lymphoma kinase gene (ALK) fusion is the most common ALK rearrangements in non-small cell lung cancer (NSCLC). Herein, we firstly report that coexistence of a novel Neurobeachin (NBEA)-ALK, EML4-ALK double-fusion is sensitive to alectinib. MATERIALS AND METHODS: Hematoxylin-eosin staining (HE), fluorescent in situ hybridization (FISH), and next-generation sequencing (NGS) was performed on the biopsy sample. RESULTS: The patient responded to alectinib as a second-line treatment and achieved stable disease for 11 months, without significant symptoms of toxicity. Significantly, the liquid biopsy also validated clinical benefit, with the disappearance of NBEA-ALK and EML4-ALK fusion variants. We also provided a comprehensive review of all 50 ALK fusion genes in NSCLC. CONCLUSION: This is the first report on one patient with a novel NBEA-ALK, EML4-ALK double-ALK fusion beneficial from alectinib. Alectinib may be a viable therapeutic option for NSCLC patients with double-ALK fusion, and liquid biopsy could dynamically monitor clinical curative effect.

A methylation-based prognostic model predicts survival in patients with colorectal cancer.

BACKGROUND: To construct a model that could effectively predict the prognosis of colorectal cancer (CRC) by searching for methylated-differentially expressed genes (MDEGs). METHODS: We identified MDEGs through four databases from Gene Expression Omnibus (GEO) and annotated their functions via bioinformatics analysis. Subsequently, after adjusting for gender, age, and grading, multivariate Cox hazard analysis was utilized to select MDEGs interrelated with the prognosis of CRC, and LASSO analysis was utilized to fit the prediction model in the training set. Furthermore, another independent dataset was harnessed to verify the effectiveness of the model in predicting prognosis. RESULTS: In total, 252 hypomethylated and up-regulated genes and 132 hypermethylated and down-regulated genes were identified, 27 of which were correlated with the prognosis of CRC, and a 10-gene prognostic model was established after LASSO analysis. The overall survival rate could be effectively grouped into different risks by the median score of this model in the training set [risk ratio (HR) =2.27, confidence interval (95% CI), 1.69-3.13, P=8.15×10-8], and the validity of its effect in predicting prognosis in CRC was verified in the validation dataset (HR =1.75, 95% CI, 1.15-2.70, P=9.32×10-3). CONCLUSIONS: Our model could effectively predict the overall survival rate of patients with CRC and provides potential application guidelines for its clinically personalized treatment.

The Cancer-Testis Long Non-coding RNA PCAT6 Facilitates the Malignant Phenotype of Ovarian Cancer by Sponging miR-143-3p.

Background: It has been reported that long non-coding RNAs (lncRNAs) play critical roles in tumorigenesis. However, their roles in ovarian cancer (OC) remain to be elucidated. The aim of this study was to uncover the function and underlying mechanisms of PCAT6 in OC. Methods: The expression pattern of PCAT6 in OC was analyzed in the GSE137238, GSE143897 and Gene Expression Profile Interactive Analysis (GEPIA) datasets. Kaplan-Meier Plotter online software was used for survival analysis. Loss-of-function assays and gain-of-function assays were used to assess the function of PCAT6 in OC development. Moreover, small-RNA sequencing, bioinformatic analysis, luciferase assays and rescue experiments were carried out to clarify the potential mechanism of PCAT6 in OC. Results: PCAT6 expression was significantly increased in OC tissues and positively correlated with advanced stages and with poor overall survival, progression-free survival and post-progression survival. Knockdown of PCAT6 in A2780 and SKOV3 cells inhibited OC cell proliferation, migration and invasion. In contrast, Overexpression of PCAT6 exerted the opposite effects on OC cells. Notably, PCAT6 bound to miR-143-3p and affected the expression of transforming growth factor (TGF)-ß-activated kinase 1 (TAK1). Subsequent rescue assays confirmed that upregulation of miR-143-3p decreased the PCAT6 overexpression-induced promotion of proliferation, migration and invasion. Moreover, downregulation of miR-143-3p reversed the PCAT6 knockdown-induced inhibition of proliferation, migration, and invasion. Conclusions: Our findings demonstrate that PCAT6 plays an oncogenic role in OC and may be useful as a therapeutic target for OC.

KLF5-Modulated lncRNA NEAT1 Contributes to Tumorigenesis by Acting as a Scaffold for BRG1 to Silence GADD45A in Gastric Cancer.

Long noncoding RNAs (lncRNAs), genomic "dark matter," are deeply involved in diverse biological processes. The lncRNA nuclear paraspeckle assembly transcript 1 (NEAT1) is a highly participatory lncRNA; however, its roles in gastric cancer (GC) remain largely unexplored. Here, we demonstrated that the expression of NEAT1 was significantly increased and negatively correlated with prognosis in GC. Subsequent experiments confirmed that KLF5 can induce NEAT1 expression by binding to the NEAT1 promoter region. Further experiments revealed that NEAT1 silencing significantly suppressed cell proliferation both in vitro and in vivo and induced apoptosis. We used mRNA sequencing (mRNA-seq) to identify the preferentially affected genes linked to cell proliferation in cells with NEAT1 knockdown. Mechanistically, NEAT1 bound BRG1 (SMARCA4) directly, modulating H3K27me3 and H3K4me3 in the GADD45A promoter to regulate GADD45A-dependent G2/M cell cycle progression. In addition, BRG1 was significantly upregulated and correlated with outcomes in GC; moreover, it promoted cell proliferation both in vitro and in vivo. Taken together, our data support the importance of NEAT1 in promoting GC tumorigenesis and indicate that NEAT1 might be a diagnostic and therapeutic target in GC.

KLF16 promotes proliferation in gastric cancer cells via regulating p21 and CDK4.

Krüppel-like factors (KLFs), such as KLF4, KLF2, KLF5 and KLF15, have been extensively investigated in multi-cancers. However, KLF16, a member of KLFs, hasn't been well identified in cancer, especially in gastric cancer (GC). Here, we investigated the roles of KLF16 in GC. In present study, we found that KLF16 expression levels were significantly up-regulated in GC tissues compared to adjacent normal tissues both in protein and mRNA levels by using immunohistochemistry assays (IHC) and real-time quantitative PCR (qPCR). And KLF16 expression levels were positively correlated to tumor size, invasion depth, lymphatic metastasis and TNM stage. Furthermore, KLF16 expression also could predict prognosis in patients with GC. Moreover, the knock-down of KLF16 could significantly suppress proliferation via increasing p21 expression and decreasing CDK4 expression in GC cell lines. In summary, these findings demonstrate that KLF16 plays a significant role in GC progression and could be a new therapeutic target for GC patients.

KLF15 Inhibits Cell Proliferation in Gastric Cancer Cells via Up-Regulating CDKN1A/p21 and CDKN1C/p57 Expression.

BACKGROUND: Krüppel-like factors (KLFs) have been identified in multi-cancers and act as oncogenes or tumor suppressors. The function of KLF15, one member of KLFs, has not been well elucidated, especially in gastric cancer (GC). AIMS: This study was designed to investigate the prognostic value and biological functions of KLF15 in GC. METHODS: KLF15 protein expression in GC patients was evaluated by immunohistochemistry assays in 50 paired GC tissues and adjacent normal tissues, and correlations between KLF15 expression and clinicopathological characteristics and prognosis were analyzed. Then, we investigated the over-expression of KLF15 on cell proliferation and its mechanism in GC cells. RESULTS: KLF15 expression levels were significantly down-regulated in GC tissues compared to adjacent normal tissues. And KLF15 expression was negatively correlated with clinical stage, lymphatic metastasis, and distant metastasis. Furthermore, KLF15 expression could predict prognosis in patients with GC. Moreover, over-expression of KLF15 could inhibit cell proliferation partly via regulating CDKN1A/p21 and CDKN1C/p57. CONCLUSION: These findings demonstrate that KLF15 plays a significant role in GC progression and could be a therapeutic target for GC.

Extracellular vesicles-mediated noncoding RNAs transfer in cancer.

Extracellular vesicles (EVs) are small membranous vesicles secreted from numerous cell types and have been found involved in cell-to-cell communication by transferring noncoding RNAs (ncRNAs) including microRNAs, long noncoding RNAs, and circular RNAs. Emerging evidence shows that EV-associated ncRNAs play important roles in a wide range of diseases, particularly in cancer where they function through regulating protein expression of the pivotal genes that make contributions to tumorigenesis. Given their stability and abundance in serum, EV-associated ncRNAs can act as new diagnostic biomarkers and new therapeutic targets for cancer. Herein, we review the properties of EV-associated ncRNAs, their functions, and potential significance in cancer.

Genetic variants of H2AX gene were associated with PM2.5-modulated DNA damage levels in Chinese Han populations.

Exposure to particulate matter 2.5 (PM2.5) may result in DNA damage. Histone variant H2AX phosphorylation plays a central role in the response to damaged chromatin. In the current study, we investigated whether H2AX gene polymorphisms account for PM2.5-modulated DNA damage levels. A total of 307 healthy urban residents were collected from three cities in southern, central, and northern China, Zhuhai, Wuhan, and Tianjin, respectively. The dust mass concentrations of PM2.5 were detected by Gilian 5000 pumps, and the DNA damage levels were measured using comet assay. Seven potentially functional single nucleotide polymorphisms (SNPs) of H2AX gene were selected and genotyped by Illumina Infinium(®) BeadChip. We found that three SNPs (rs10790283 G > A, rs604714 C > A and rs7759 A > G) were significantly associated with DNA damage levels (adjusted P = 0.002, 0.018 and 0.027, respectively). Significant interactions (P < 0.05) were observed between certain genetic polymorphisms and PM2.5-modulated DNA damage levels. These results suggested that genetic variations of H2AX might be associated with the DNA damage levels in urban residents with different exposure to PM2.5. Further studies with large sample size in independent populations merit validating these findings.

Personal exposure to PM2.5, genetic variants and DNA damage: a multi-center population-based study in Chinese.

Exposure to particulate matter (e.g., PM2.5) may result in DNA damage, a major culprit in mutagenesis and environmental toxicity. DNA damage levels may vary among individuals simultaneously exposed to PM2.5, however, the genetic determinants are still unclear. To explore whether PM2.5 exposure and genetic variants contribute to the alteration in DNA damage, we recruited 328 subjects from three independent cohorts (119 from Zhuhai, 123 from Wuhan and 86 from Tianjin) in southern, central and northern China with different PM2.5 exposure levels. Personal 24-h PM2.5 exposure levels and DNA damage levels of peripheral blood lymphocytes were evaluated. Genotyping were performed using Illumina Human Exome BeadChip with 241,305 single nucleotide variants (SNVs). The DNA damage levels are consistent with the PM2.5 exposure levels of each cohort. A total of 35 SNVs were consistently associated with DNA damage levels among the three cohorts with pooled P values less than 1.00×10(-3) after adjustment for age, gender, smoking status and PM2.5 exposure levels, of which, 18 SNVs together with gender and PM2.5 exposure levels were independent factors contributing to DNA damage. Gene-based test revealed 3 genes significantly associated with DNA damage levels (P=5.11×10(-3) for POLH, P=2.88×10(-3) for RIT2 and P=2.29×10(-2) for CNTN4). Gene ontology (GO) analyses indicated that the identified variants were significantly enriched in DNA damage response pathway. Our findings highlight the importance of genetic variation as well as personal PM2.5 exposure in modulating individual DNA damage levels.

A genome-wide association study identifies susceptibility loci of silica-related pneumoconiosis in Han Chinese.

Pneumoconiosis is the most serious occupational disease in China and its leading cause is occupational silica exposure. Pneumoconiosis takes several years to develop depending on the exposure level of silica. However, individual variation in the susceptibility to pneumoconiosis has been observed among the subjects with similar exposure. We conducted a genome-wide screening with 710,999 single nucleotide polymorphisms (SNPs) in a cohort of 400 coal workers (202 cases and 198 exposed controls) for pneumoconiosis susceptible loci. Seven promising variants were evaluated in an independent cohort of 568 coal workers (323 cases and 245 exposed controls), followed by a second replication on 463 iron ore workers (167 cases and 296 exposed controls). By pooling all of the genome-wide association studies and replication stages together, we found a genome-wide significant (P < 5.0 × 10(-8)) association for rs73329476 (P = 1.74 × 10(-8), OR = 2.17, 95% CI = 1.66-2.85) and two additional replicated associations for rs4320486 (P < 0.05) and rs117626015 (P < 0.05) with combined P-values of 4.29 × 10(-6) and 5.05 × 10(-6), respectively. In addition, the risk allele T of rs73329476 was significantly associated with lower mRNA expression levels of carboxypeptidase M (CPM) in total cellular RNA from whole blood of 156 healthy individuals (P = 0.0252). The identified pneumoconiosis susceptibility loci may provide new insights into the pathogenesis of pneumoconiosis, and may also have some clinical utility for risk prediction for pneumoconiosis and high-risk population screening for workers with occupational silica exposure.

A genetic variant in pseudogene E2F3P1 contributes to prognosis of hepatocellular carcinoma.

Certain pseudogenes may regulate their protein-coding cousins by competing for miRNAs and play an active biological role in cancer. However, few studies have focused on the association of genetic variations in pseudogenes with cancer prognosis. We selected six potentially functional single nucleotide polymorphisms (SNPs) in cancer-related pseudogenes, and performed a case-only study to assess the association between those SNPs and the prognosis of hepatocellular carcinoma (HCC) in 331 HBV-positive HCC patients without surgical treatment. Log-rank test and Cox proportional hazard models were used for survival analysis. We found that the A allele of rs9909601 in E2F3P1 was significantly associated with a better prognosis compared with the G allele [adjusted hazard ratio (HR)  =  0.69, 95% confidence interval (CI)  =  0.56-0.86, P  =  0.001]. Additionally, this protective effect was more predominant for patients without chemotherapy and transcatheter hepatic arterial chemoembolization (TACE) treatment. Interestingly, we also detected a statistically significant multiplicative interaction between genotypes of rs9909601 and chemotherapy or TACE status on HCC survival (P for multiplicative interaction < 0.001). These findings indicate that rs9909601 in the pseudogene E2F3P1 may be a genetic marker for HCC prognosis in Chinese.

Genetic variants in SMARC genes are associated with DNA damage levels in Chinese population.

The switching defective/sucrose nonfermenting (SWI/SNF) related, matrix associated, actin dependent regulators of chromatin (SMARC) are components of human SWI/SNF like chromatin remodeling protein complexes, which are essential in the process of DNA damage repair. In this study, we hypothesized that genetic variants in SMARC genes may modify the capacity of DNA repair to damage. To test this hypothesis, we genotyped a total of 20 polymorphisms in five key SMARC genes (SMARCA5, SMARCC2, SMARCD1, SMARCD2, SMARCD3) to evaluate their associations with DNA damage levels in 307 subjects. The DNA damage levels were measured with comet assay. The multiple linear regression was used to assess the relationship between each polymorphism and DNA damage levels in additive model. We found that the genotypes of rs6857360 (ß=0.23, 95% CI=0.06-0.40, P=0.008) in SMARCA5, rs6919 (ß=0.20, 95% CI=0.05-0.34, P=0.008) and rs2727280 (ß=0.18, 95% CI=0.04-0.33, P=0.013) in SMARCD2, and rs17173769 (ß=-0.27, 95% CI=-0.52 to -0.01, P=0.045) in SMARCD3 were significantly associated with DNA damage levels. After combining these four polymorphisms, we found that the more unfavorable alleles the subjects carried, the heavier DNA damage they suffered, suggesting a locus-dosage effect between combined genotypes and DNA damage levels (P for trend=0.006). These findings suggest that genetic variants in SMARC genes may contribute the individual variations of DNA damage levels in Chinese population. Further larger and functional studies are warranted to confirm our findings.

A genome-wide gene-environment interaction analysis for tobacco smoke and lung cancer susceptibility.

Tobacco smoke is the major environmental risk factor underlying lung carcinogenesis. However, approximately one-tenth smokers develop lung cancer in their lifetime indicating there is significant individual variation in susceptibility to lung cancer. And, the reasons for this are largely unknown. In particular, the genetic variants discovered in genome-wide association studies (GWAS) account for only a small fraction of the phenotypic variations for lung cancer, and gene-environment interactions are thought to explain the missing fraction of disease heritability. The ability to identify smokers at high risk of developing cancer has substantial preventive implications. Thus, we undertook a gene-smoking interaction analysis in a GWAS of lung cancer in Han Chinese population using a two-phase designed case-control study. In the discovery phase, we evaluated all pair-wise (591 370) gene-smoking interactions in 5408 subjects (2331 cases and 3077 controls) using a logistic regression model with covariate adjustment. In the replication phase, promising interactions were validated in an independent population of 3023 subjects (1534 cases and 1489 controls). We identified interactions between two single nucleotide polymorphisms and smoking. The interaction P values are 6.73 × 10(-) (6) and 3.84 × 10(-) (6) for rs1316298 and rs4589502, respectively, in the combined dataset from the two phases. An antagonistic interaction (rs1316298-smoking) and a synergetic interaction (rs4589502-smoking) were observed. The two interactions identified in our study may help explain some of the missing heritability in lung cancer susceptibility and present strong evidence for further study of these gene-smoking interactions, which are benefit to intensive screening and smoking cessation interventions.

A genome-wide gene-gene interaction analysis identifies an epistatic gene pair for lung cancer susceptibility in Han Chinese.

Lung cancer is the leading cause of cancer-related deaths worldwide. By now, genome-wide association studies (GWAS) have identified numerous loci associated with the risk of developing lung cancer. However, these loci account for only a small fraction of the familial lung cancer risk. We hypothesized that epistasis may contribute to the missing heritability. To test this hypothesis, we systematically evaluated the association of epistasis of genetic variants with risk of lung cancer in Han Chinese cohorts. We conducted a pairwise genetic interaction analysis of 591370 variants, using BOolean Operation-based Screening and Testing (BOOST), in an ongoing GWAS of lung cancer that includes 2331 cases and 3077 controls. Pairs of epistatic loci with P BOOST ≤ 1.00×10(-6) were further evaluated by a logistic regression model (LRM) with covariate adjustment. Four promising epistatic pairs identified at the screening stage (P LRM ≤ 2.86×10(-) (13)) were validated in two replication cohorts: the first from Beijing (1534 cases and 1489 controls) and the second from Shenyang and Guangzhou (2512 cases and 2449 controls). Using this combined analysis, we identified an interaction between rs2562796 and rs16832404 at 2p32.2 that was significantly associated with the risk of developing lung cancer (P LRM = 1.03×10(-13) in total 13 392 subjects). This study is the first investigation of epistasis for lung cancer on a genome-wide scale in Han Chinese. It addresses part of the missing heritability in lung cancer risk and provides novel insight into the multifactorial etiology of lung cancer.

Imputation-based association analyses identify new lung cancer susceptibility variants in CDK6 and SH3RF1 and their interactions with smoking in Chinese populations.

Cell cycle regulation, apoptosis, oxidative stress and inflammation response play critical roles in the development of smoking-induced lung cancer. However, it is still not well known whether their genetic variants are associated with lung cancer susceptibility. In this study, we performed imputation-based association analyses to investigate the influence of common genetic variants in these pathways and their interactions with smoking on lung cancer susceptibility. We first selected 24 042 unvalidated genetic variants in 798 genes from the imputed dataset of the previous lung cancer genome-wide association study in 2331 cases and 3077 controls, and then conducted additional two-stage validations in 4133 cases and 4522 controls. We found a genome-wide significant (P < 5.0 × 10(-8)) association for rs2282987 in CDK6 at 7q21.2 [odds ratio (OR) = 1.18, combined P add = 2.27 × 10(-9)] and a consistent association for rs2706748 in SH3RF1 at 4q32.3 (OR = 1.17, combined P add = 5.10 × 10(-6)). Interaction analyses showed that rs2282987 and rs2706748 interacted with both smoking status (P interaction were 1.04 × 10(-2) and 3.03 × 10(-2), respectively) and smoking history (P interaction were 1.21 × 10(-2) and 5.21 × 10(-2), respectively) to contribute to lung cancer susceptibility in subjects aged 51-60 years. These results further underscore the contribution of genetic variants involved in pathways of cell cycle regulation and apoptosis to lung cancer susceptibility, and highlight gene-environment interactions in lung cancer etiology, especially in subjects aged 51-60 years.

Genome-wide association study identifies a novel susceptibility locus at 12q23.1 for lung squamous cell carcinoma in han chinese.

Adenocarcinoma (AC) and squamous cell carcinoma (SqCC) are two major histological subtypes of lung cancer. Genome-wide association studies (GWAS) have made considerable advances in the understanding of lung cancer susceptibility. Obvious heterogeneity has been observed between different histological subtypes of lung cancer, but genetic determinants in specific to lung SqCC have not been systematically investigated. Here, we performed the GWAS analysis specifically for lung SqCC in 833 SqCC cases and 3,094 controls followed by a two-stage replication in additional 2,223 lung SqCC cases and 6,409 controls from Chinese populations. We found that rs12296850 in SLC17A8-NR1H4 gene region at12q23.1 was significantly associated with risk of lung SqCC at genome-wide significance level [additive model: odds ratio (OR) = 0.78, 95% confidence interval (CI) = 0.72-0.84, P = 1.19×10(-10)]. Subjects carrying AG or GG genotype had a 26% (OR = 0.74, 95% CI = 0.67-0.81) or 32% (OR = 0.68, 95% CI = 0.56-0.83) decreased risk of lung SqCC, respectively, as compared with AA genotype. However, we did not observe significant association between rs12296850 and risk of lung AC in a total of 4,368 cases with lung AC and 9,486 controls (OR = 0.96, 95% CI = 0.90-1.02, P = 0.173). These results indicate that genetic variations on chromosome 12q23.1 may specifically contribute to lung SqCC susceptibility in Chinese population.

Rab35 is required for Wnt5a/Dvl2-induced Rac1 activation and cell migration in MCF-7 breast cancer cells.

The small GTPases regulate many major biological processes in both tumorigenesis and tumor progression such as cell survival, actin cytoskeleton organization, cell polarity and movement. Wnt5a, a non-canonical Wnt family member, is implicated in the activation of small GTPases in breast cancer. We previously demonstrated that Wnt5a signaling stimulates the migration of breast cancer cells MDA-MB-231 via activating RhoA. However, we found here that RhoA activation was not enhanced by Wnt5a in breast cancer cells MCF-7. The conflicting results prompted us to further probe novel small GTPases in response to Wnt5a and investigate the mechanisms whereby cell migration is regulated. We showed here that Wnt5a dose dependently activated Dvl2, Rab35 and Rac1 and subsequently promoted the migration of MCF-7 cells, which was, however, abolished by knocking down Wnt5a expression via small interfering RNA (siRNA) transfection. Dvl2 siRNA significantly decreased background and Wnt5a-induced Rab35/Rac1 activation and, consequently, cell migration. Rab35 short hairpin RNA (shRNA) remarkably inhibited background and Wnt5a-induced Rac1 activation and cell migration. Additionally, blockade of Rac1 activation with Rac1 siRNA suppressed background and Wnt5a-induced cell migration. Co-immunoprecipitation and immunofluorescence assays showed that Dvl2 bound to Rab35 in mammalian cells. Taken together, we demonstrated that Wnt5a promotes breast cancer cell migration via the Dvl2/Rab35/Rac1 signaling pathway. These findings implicate Wnt5a signaling in regulating small GTPases, which could be targeted for manipulating breast cancer cell migration.