Zobrazení zdroje stránky Langeskildsen8217

BACKGROUND Occludin/ELL domain containing 1 (OCEL1) is a novel discovered protein with its molecular functions remaining unknown and its role in lung cancer has not been directly explored. OBJECTIVES This study focused on the role of OCEL1 in the progression and prognosis of non-small cell lung cancer (NSCLC). METHODS A public database and tissue samples (80 NSCLC tissue samples and paired normal lung samples) were used to compare differences in OCEL1 expression and investigate its relationship with clinical characteristics and prognosis. RESULTS Compared to adjacent normal lung tissue samples, OCEL1 expression was significantly down-regulated in tumor tissues. In addition, there was a negative correlation between OCEL1 and Ki67 expression levels. Low OCEL1 expression was significantly associated with lymph node metastasis, higher TNM stage, and poor prognosis. Importantly, multivariate analysis identified OCEL1 expression as an independent predictor for unfavorable NSCLC prognosis. CONCLUSIONS These results indicated that OCEL1 protein may serve as a novel prognostic biomarker in NSCLC.BACKGROUND Lung adenocarcinoma is the most common type of lung cancer, and it is one of the most aggressive and rapidly fatal tumor types. OBJECTIVE To identify a signature mutation genes for prognostic prediction of lung adenocarcinoma. METHODS Four hundred and sixty-two lung adenocarcinoma cases were screened out and downloaded from TCGA database. Mutation data of 18 targeted genes were detected by MuTect. LASSO-COX model was used to screen gene loci, and then a prognosis model was established. Afterwards, 40 clinical patients of lung adenocarcinoma were collected to verify the mutation features and the predictive function of the above prognostic model. The mutations of above 18 genes were sequenced with targeted next generation sequencing (NGS) and analyzed with GATK and MuTect. RESULTS TP53 (282, 32.38%), NF1 (82, 9.41%) and EGFR (80, 9.18%) were the top 3 most frequent mutation genes. A total of 7 variables were screened out after lasso-COX analysis (tumor stage, age, diagnostic type, SMARCA4, GNAS, PTCH2, TSC2). SMARCA4, GNAS and TSC2 were a gene mutation signature to predict a poor prognosis. CONCLUSIONS We established a prognostic model for lung adenocarcinoma, and further concluded that SMARCA4, GNAS and TSC2 were a gene signature which plays a prognostic role.BACKGROUND The majority of ovarian cancer cases are diagnosed at an advanced stage with poor prognosis. This study evaluates autoantibodies against tumor antigens to identify candidate biomarkers for early detection of ovarian cancer in women at increased risk. OBJECTIVE To assess the immunoreactivity of paraneoplastic antigens and tumor associated antigens with high-grade serous ovarian cancer (HGSOC) samples. METHODS Five paraneoplastic antigens along with three tumor-associated antigens were evaluated with HGSOC patient serum samples. Validation screening was performed with n= 164 serum samples consisting of 50 late stage HGSOC, 14 early stage HGSOC, 50 benign ovarian cyst, and 50 healthy control samples on ELISA and western blot. The four markers TRIM21, NY-ESO-1, TP53, and PAX8 were evaluated on a second validation serum set, n= 150. RESULTS TRIM21 achieved the highest sensitivity in the first validation screening of 33% with 100% specificity. Combining TRIM21 with NY-ESO-1, TP53, and PAX8 provided 67% sensitivity with 94% specificity, and 56% sensitivity at 98% specificity. These four markers resulted in 46% sensitivity with 98% specificity in the second validation cohort; TRIM21 achieved the highest individual sensitivity of 36%. CONCLUSIONS Autoantibodies to TRIM21, NY-ESO-1, and TP53 may complement CA125 in screening of women at genetic risk for ovarian cancer.BACKGROUND Metastasis often leads to poor prognosis in nasopharyngeal carcinoma (NPC) patients. Evidence has indicated the important roles of microRNA (miRNA) in cancer metastasis. The aim of this study was to identify and verify the key miRNAs that might be involved in the development of NPC metastasis. METHODS Microarray data were obtained and analyzed to screen the differentially expressed miRNAs (DEMs) between NPC tissues with metastasis and those without metastasis. The target genes of the DEMs were predicted and their functions were annotated. Then, candidate hub genes were screened out through protein-protein interaction analysis, and the key miRNAs were identified. Afterwards, the expression levels of the key miRNAs were assessed by qRT-PCR based on an in vitro model. RESULTS A total of 22 DEMs were screened out, and 616 target genes were predicted. Gene Ontology (GO) and pathway enrichment analysis showed that the target genes may be enriched in a diversity of GO terms and signaling pathways. Among them, eleven hub genes were identified, such as PTEN, KAT2B, CCND1, STAT3, and MAP3K5. Moreover, a five-miRNA profile (miR-106b, miR-17, miR-20b, miR-18a and miR-93) was identified and their expression levels were tested to be up-regulated in high-metastatic NPC cells relative to low-metastatic ones. CONCLUSION The present study revealed that five miRNAs (miR-106b, miR-17, miR-20b, miR-18a and miR-93) and several hub genes such as PTEN, KAT2B, CCND1, STAT3, and MAP3K5, might play critical roles in the development of NPC metastasis. Future investigations are needed to confirm the results.BACKGROUND Recently, hepatocellular carcinoma (HCC) has been ranked as the second leading cause of cancer-associated death. However, the underlying molecular mechanisms of HCC progression remain unclear. Vesicular overexpressed in cancer pro-survival protein 1 (VOPP1) could be upregulated in a quantity of human cancers, including squamous cell carcinoma (SCC), gastric cancer, and glioblastoma. However, the precise functional mechanism of VOPP1 in HCC remains poorly understood. The present study aimed to investigate the role of VOPP1 in HCC proliferation. [https://www.selleckchem.com/products/e1210.html Fungal inhibitor] METHODS Immunohistochemistry (IHC), Western blot and Reverse-transcription polymerase chain reaction (RT-PCR) were used to analyze the protein and mRNA expressions of VOPP1, mitogen-activated protein kinase (MAPK) 14, ribosomal protein S6 kinase β1 (RPS6KB1), cylindromatosis (CYLD) and Twist family bHLH transcription factor 1 (TWIST1). The cell proliferation and apoptosis were tested using Celigo cell imaging analyzer and annexin V-APC apoptosis detection kit respectively.