Anti-Eph (C-terminal) polyclonal antibody

Background Asbestos is a carcinogen linked to malignant mesothelioma (MM) and lung cancer. Some gene aberrations related to asbestos exposure are recognized, but many associated mutations remain obscure. We performed exome sequencing to determine the association of previously known mutations (driver gene mutations) with asbestos and to identify novel mutations related to asbestos exposure in lung adenocarcinoma (LAC) and MM. MethodsExome sequencing was performed on DNA from 47 tumor tissues of MM (21) and LAC (26) patients, 27 of whom had been asbestos-exposed (18 MM, 9 LAC). In addition, 9 normal lung/blood samples of LAC were sequenced. Novel mutations identified from exome data were validated by amplicon-based deep sequencing. Driver gene mutations in BRAF, EGFR, ERBB2, HRAS, KRAS, MET, NRAS, PIK3CA, STK11, and ephrin receptor genes (EPHA1-8, 10 and EPHB1-4, 6) were studied for both LAC and MM, and in BAP1, CUL1, CDKN2A, and NF2 for MM. ResultsIn asbestos-exposed MM patients, previously non-described NF2 frameshift mutation (one) and BAP1 mutations (four) were detected. Exome data mining revealed some genes potentially associated with asbestos exposure, such as MRPL1 and SDK1. BAP1 and COPG1 mutations were seen exclusively in MM. Pathogenic KRAS mutations were common in LAC patients (42 %), both in non-exposed (n = 5) and exposed patients (n = 6). Pathogenic BRAF mutations were found in two LACs. ConclusionBAP1 mutations occurred in asbestos-exposed MM. MRPL1, SDK1, SEMA5B, and INPP4A could possibly serve as candidate genes for alterations associated with asbestos exposure. KRAS mutations in LAC were not associated with asbestos exposure.

Folate metabolism makes a crucial contribution towards late-onset Alzheimer's disease (LOAD). Moreover, methylenetetrahydrofolate reductase (MTHFR) constitutes the primary enzyme of the folate pathway. We hypothesize that there is an association of C677T polymorphism in the MTHFR gene with the susceptibility to LOAD. Previous published research has investigated the link between the MTHFR C677T polymorphisms and LOAD susceptibility; nevertheless, the findings have continued to be not only controversial, but also indecisive. Accordingly, we carried out the present meta-analysis for the assessment of the potential link that exists between the MTHFR C677T polymorphism and the susceptibility to LOAD. Furthermore, we carried out a literature search of the PubMed, EMBASE, Cochrane Library, and WanFang database up to August 10, 2018. The odds ratios (ORs) with the respective 95% confidence interval (95%CI) were put to use for the evaluation of the robustness of the link of the MTHFR C677T polymorphism with the vulnerability to LOAD. All statistical analyses were carried out using STATA 15.0. An aggregate of 14 case-control research works was retrieved, involving 2,467 LOAD patients as well as 2,877 controls. We found that a substantial link exists between C677T polymorphism and LOAD risk in a codominant framework (TC vs. CC: OR=1.22, 95%CI=1.00-1.49, P=0.049). In addition to the stratified analysis based on ethnicity, which suggested that C677T polymorphism was likely linked only to an augmented threat of LOAD in Asians, it did not exist among Caucasians. Furthermore, in the subgroup analysis carried out using APOE epsilon 4 status, a substantial increase in the susceptibility to LOAD was detected in APOE epsilon 4 carriers as well as non-APOE epsilon 4 carriers. In sum, the current meta-analysis revealed that MTHFR C677T polymorphism was associated with susceptibility to LOAD. Further extensive case-control studies are required.