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Lung squamous cell carcinoma (LUSCC), as the major type of lung cancer, has high morbidity and mortality rates. The prognostic markers for LUSCC are much fewer than lung adenocarcinoma. Besides, protein biomarkers have advantages of economy, accuracy and stability. The aim of this study was to construct a protein prognostic model for LUSCC. The protein expression data of LUSCC were downloaded from The Cancer Protein Atlas (TCPA) database. Clinical data of LUSCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. A total of 237 proteins were identified from 325 cases of LUSCC patients based on the TCPA and TCGA database. According to Kaplan-Meier survival analysis, univariate and multivariate Cox analysis, a prognostic prediction model was established which was consisted of 6 proteins (CHK1_pS345, CHK2, IRS1, PAXILLIN, BRCA2 and BRAF_pS445). After calculating the risk values of each patient according to the coefficient of each protein in the risk model, the LUSCC patients were divided into high risk group and low risk group. The survival analysis demonstrated that there was significant difference between these two groups (p= 4.877e-05). The area under the curve (AUC) value of the receiver operating characteristic (ROC) curve was 0.699, which suggesting that the prognostic risk model could effectively predict the survival of LUSCC patients. Univariate and multivariate analysis indicated that this prognostic model could be used as independent prognosis factors for LUSCC patients. Proteins co-expression analysis showed that there were 21 proteins co-expressed with the proteins in the risk model. In conclusion, our study constructed a protein prognostic model, which could effectively predict the prognosis of LUSCC patients.

Background:The expression and biological roles of a novel lncRNA HOXC-AS3 in cervical squamous cell carcinoma (CESC) are largely unknown.Methods:LncRNA HOXC-AS3 was identified from The Cancer Genome Atlas (TCGA) database. Real time quantitative PCR (qRT-PCR) was used to evaluate the expression of HOXC-AS3 in 68 pairs of CESC tumor tissues and adjacent normal tissues. Kaplan-Meier survival analysis was used to assess the significance of HOXC-AS3 in predicting overall survival (OS). Correlations between HOXC-AS3 expression and clinicopathological parameters were assessed using Chi-square test. The biological functions of HOXC-AS3 in CESC were investigated using loss-of and gain-of function assays, which including cell proliferation, migration and invasion. Furthermore, the underlying mechanism was revealed using bioinformatics prediction, qRT-PCR and western blot.Results:HOXC-AS3 expression was significantly up-regulated in CESC tumor tissues. Up-regulated HOXC-AS3 expression was correlated with advanced stage and poor OS. Over-expression of HOXC-AS3 promoted tumor cell proliferation, migration and invasion. Conversely, HOXC-AS3 knockdown significantly inhibited these effects. Subcellular fractionation analysis revealed that HOXC-AS3 was mainly localized in cell nuclei. Further mechanistic analyses demonstrated that HOXC-AS3 down-regulated the expression of FBXL17. The promotive effects of HOXC-AS3 on cell proliferation, migration and invasion could be repressed by FBXL17. Moreover, HOXC-AS3 activated the EMT process to promote the progression of CESC. Conclusion:In conclusion, our study indicated that HOXC-AS3 acted as an oncogenic lncRNA in CESC through downregulating FBXL17 expression and activating EMT process.

The aim of the present study was to investigate the significance of aberrant expression of mammalian target of rapamycin (mTOR) and the activated form of mTOR kinase, phosphorylated mTOR (pmTOR), in human stage IIIB colon cancer. The expression of mTOR and pmTOR was detected by immunohistochemistry in the tumor tissue of stage IIIB colon cancer patients. The association between the expression of mTOR, pmTOR and clinicopathological parameters of patients was analyzed. The positive expression of mTOR and pmTOR was observed to be higher in 75.5% (80/106) and 76.4% (81/106) of the 106 colon cancer specimens, compared with the adjacent normal tissues. The high level of pmTOR expression was found to be significantly higher in the invasive tumor front cells and resulted in a higher risk of mortality. The results suggested that mTOR and pmTOR may be promising clinical markers and present novel molecular targets for designing novel therapeutic strategies to treat this malignancy.

An IP camera based on TI's DaVinci DSP-TMS320DM6437 is developed in this paper. An intelligent video surveillance system is established using the designed IP camera. The real-time capture of the video is implemented in the system as well as the compression coding of the video using H.264 and the transmission of the encoded video through network. In the section of network communication, the performance of DSP processor in three scenes is tested, which is convenient for developers to optimize.