First-principles study of phase transition in theα-In2Se3/metal heterostructures.

With the discovery of two-dimensional (2D) ferroelectric materials such as CuInP2S6andα-In2Se3, the ferroelectric field effect transistors (Fe-FETs) based on these materials have entered a rapid-development period. The metal/semiconductor contact is an unavoidable topic in the construction of devices. In this paper, heterostructuresα-In2Se3/metals (Pd, Pt, Cu, Ag and Au) are discussed. According to different stacking types, the structures and energy of 160 heterostructures are calculated and compared. Whenα-In2Se3contacts with the Pd, Pt and Cu, theα-In2Se3may transforms intoß-In2Se3. This phenomenon has hardly been mentioned or analyzed in previous reports. Contacting with the Au and Ag, theα-In2Se3maintains the original structure. The internal physical mechanism of phase transition is explained from the binding energy and the charge transfer. The paper provides sufficient theoretical support for research and development of the Fe-FETs based onα-In2Se3.

[Correlation between RARbeta gene promoter methylation and P53 gene mutations in non-small cell lung cancer].

OBJECTIVE: To investigate the correlation between RARbeta gene promoter methylation and P53 gene mutations in non-small cell lung cancer (NSCLC). METHODS: Promoter methylation of RARbeta and P53 mutations of exons 5 through 9 in 198 resected primary NSCLC tissues were determined by methylation-specific PCR and direct sequencing. RESULTS: RARbeta gene promoter methylation and P53 mutation were detected in 58.1% and 36.4% of tumors, respectively. Both were higher in males than in females and in smokers than in nonsmokers. A higher prevalence of RARbeta promoter methylation was found in patients with advanced stage tumors than those with TNM stage I. P53 gene mutations were more frequent in squamous cell carcinoma and adeno-squamous carcinoma than adenocarcinoma. All such differences were statistically significant (P< 0.05). Frequencies of P53 mutations, including G:C>T:A mutations, transversions and missense mutations were significantly higher in tumors with RARbeta methylation than in those without (P< 0.05). A significantly higher prevalence of RARbeta methylation was found in tumors with only G:C>T:A mutation in P53 gene than those without P53 mutations (P< 0.05). This difference (OR=3.737, 95%CI: 1.414-9.873) was still statistically significant (P< 0.05) in smokers (OR=4.020, 95%CI: 1.263-12.800), squamous cell carcinomas (OR=5.480, 95%CI: 1.400-21.446) or patients with advanced tumors (OR=3.446, 95%CI: 1.054-11.267) after adjusting for age and sex. CONCLUSION: RARbeta methylation is associated with G:C>T:A mutations in P53 gene in NSCLC.

[Effects of CYP1A1 and GSTM1 gene polymorphisms and BPDE-DNA adducts on lung cancer].

OBJECTIVE: To investigate the effect of CYP1A1 and GSTM1 genetic polymorphisms and BPDE-DNA adducts on lung tumorigenesis. METHODS: The case control study has included 200 cases of lung cancer and 200 controls. DNA was extracted from blood samples of all subjects. The genotype of both CYP1A1 and GSTM1 were detected with PCR-based restriction fragment length polymorphisms (PCR-RELP). BPDE-DNA adducts were detected with competitive ELISA. RESULTS: CYP1A1 mutant genotype and GSTM1 null genotype with smoke has increased the risk of lung cancer, with OR being 2.406(1.321-4.382), 2.755(1.470-5.163), respectively. The level of BPDE-DNA adducts in patients was greater than control, and the adduct level in ever smokers was higher than never smokers, the difference was statistically significant (P= 0.0252). GSTM1 null genotype individuals with BPDE-DNA level higher than 5 adducts/10(8) nucleotide have increased risk of lung cancer (OR= 1.988, 95%CI: 1.011-3.912). Compared with never smokers with CYP1A1 wild genotype, smokers with CYP1A1 mutation genotype had an increased risk of forming a higher level of DNA adducts (P= 0.0459). Smokers with GSTM1 null genotype formed more DNA adducts compared with never smokers with GSTM1 functional genotype (OR = 2.432, 95% CI: 1.072-4.517). CONCLUSION: GSTM1 null genotype with higher level DNA adducts may increase the risk of lung cancer. DNA adducts form easier in smokers with CYP1A1 mutation genotype and GSTM1 null genotype, which in turn may influence lung tumorigenesis.

[Relationship between promoter methylation of p16, DAPK and RAR beta genes and the clinical data of non-small cell lung cancer].

OBJECTIVE: To investigate the effects of promoter methylation of p16, death-associated protein kinase (DAPK) and retinoic acid receptor-beta (RAR beta) genes on clinical data in non-small cell lung cancers, and to study the effect of smoking on the risk of gene methylation. METHODS: The promoter methylation of p16, DAPK and RAR beta genes in 200 primary non-small cell lung cancers and the corresponding nonmalignant lung tissues were determined by methylation-specific PCR. RESULTS: Methylation in the tumor tissues was detected in 51.0% for p16, 60.0% for DAPK, and 58.0% for RAR beta gene, with significant differences (P < 0.05) when compared with those in the corresponding nonmalignant tissues(12.5%, 11.5% and 15.0%) respectively. p16 gene methylation in tumor tissue was associated with age significantly in unconditional logistic regression analysis (P < 0.01) and histologic type (P < 0.05). DAPK gene methylation in tumor tissue was associated significantly with age (P < 0.05), gender (P < 0.05) and clinical type (P < 0.05). RAR beta gene methylation in tumor tissue was associated with clinical type (P < 0.05) and tumor stage (P < 0.05) significantly. The interaction odds ratio (OR) for the gene-gene interaction in tumor tissue between p16 and DAPK was 1.987 (95%CI:1.055-3.743). The results of the gene-smoking analyses revealed that a relationship existed between cigarette smoking and p16 gene methylation (OR = 3.139, 95%CI: 1.046-9.419), the OR for the relationship of DAPK gene methylation and cigarette smoking was 3.585(95%CI: 1.270-10.123) in tumor tissue. The RAR beta gene methylation did not differ based on the smoking status of patients in tumor tissue. CONCLUSION: The p16, DAPK and RAR beta genes methylation are strongly associated with clinical data of non-small cell lung cancer, and methylation of p16 and DAPK genes are associated with tobacco smoking.

Aberrant promoter methylation of cell adhesion-related genes associated with clinicopathologic features in non-small cell lung cancer in China.

PURPOSE: The aim of this study was to investigate the methylation status of three cell adhesion-related genes including CDH1, TSLC1 and TIMP3 in non-small cell lung cancer and explore its association with clinicopathologic features and various environmental risk factors. METHODS: We detected the aberrant methylation presence of these genes by methylation-specific polymerase chain reaction and analyzed the potential correlations with multivariate logistic regression model as well as stepwise logistic regression. RESULTS: For CDH1, promoter methylation was less frequent in adenosquamous carcinomas than adenocarcinomas (OR=0.35, 95%CI=0.13-0.96); pickled food increased the methylation frequency (OR=2.23, 95%CI=1.09-4.54) while light smoking and fruit intake decreased that (OR=0.43, 95%CI=0.19-0.97; OR=0.37, 95%CI=0.15-0.95). For TSLC1, males and toxin exposure increased methylation frequency (OR=6.25, 95%CI=1.05-37.13; OR=2.42, 95%CI=1.01-5.77) while light smoking and radiation exposure decreased that (OR=0.14, 95%CI=0.03-0.60; OR=0.17, 95%CI=0.04-0.87). For TIMP3, males showed lower methylation frequency than females (OR=0.18, 95%CI=0.04-0.88) while central lung cancer, heavy smoking and radiation exposure presented higher aberrant DNA methylation status (OR=2.19, 95%CI=1.07-4.52; OR=6.99, 95%CI=1.32-37.14; OR=2.30, 95%CI=1.04-5.08). CONCLUSIONS: Aberrant promoter methylation of cell adhesion-related tumor suppressor genes in lung cancer displayed varieties of gene-specific correlations with clinicopathologic features and various environmental risk factors.

Effect of CYP1A1 MSPI polymorphism on the relationship between TP53 mutation and CDKN2A hypermethylation in non-small cell lung cancer.

BACKGROUND AND AIMS: The molecular mechanisms of lung cancer susceptibility have not been fully understood. Although it has been described that germline polymorphisms are associated with either mutation or methylation of genes, the link between gene polymorphisms and gene-gene interactions has not been investigated. Therefore, we conducted this study to determine whether CYP1A1/GSTM1 polymorphisms can affect the relationship between TP53 mutation and CDKN2A hypermethylation in lung cancer. METHODS: This study included 196 primary non-small cell lung cancer (NSCLC) patients. CYP1A1 MSPI and GSTM1 polymorphisms were characterized through PCR-RFLP on DNA isolated from peripheral lymphocytes. TP53 mutations of exons 5 through 9 and CDKN2A promoter hypermethylation in both cancer tissues and corresponding normal tissues were analyzed by direct sequencing and methylation-specific PCR (MSP) respectively. RESULTS: TP53 mutation in the tumor was associated with squamous cell histology and CDKN2A methylation was associated with older age (≥60 years), heavy smoking (>30 pack-years), squamous cell histology and advanced stage (stage II-IV). After adjusting for age, sex, smoking degree, histology type and TNM stage, the correlation between TP53 mutation and CDKN2A methylation was significant in patients with CYP1A1 risk genotype (p = 0.038), but not in those with CYP1A1 homogeneity wild genotype (p = 0.151). CONCLUSIONS: This may suggest that TP53 mutation and CDKN2A methylation specifically interact to promote lung tumorigenesis in subjects with CYP1A1 risk genotype but not in those with CYP1A1 wild-type homozygotes, implying different pathways for the development of lung carcinoma with respect to CYP1A1 polymorphism.