B7-H3 is a newly discovered member of the B7/CD28 superfamily which functions as an important T-cell immune molecule. It has been reported recently that B7-H3 is highly expressed in many cancer cells, the data indicating that it may be a regulation factor contributing to tumor-resistance. In our study, we used bioinformatics to identify differentially expressed genes between colonic cancer cells and normal colonic cells, aiming to analyze mechanisms and identify sub-pathways closely related to progression, with the final aim of finding small molecule drugs which might interfere this progression. We found that ajmaline is one related factor which may enhance self-immunity in colon carcinoma therapy and B7-H3 plays important roles with regard to immunoreactions of colonic cancer cells. All the results indicate that H7-B3 is a favorable prognostic biomarker for colon carcinomas, providing novel information regarding likely targets for intervention.
Colorectal carcinoma (CRC) is one of the most frequent cancers worldwide with very high mortality. In this study, the microarray data was used to construct a regulation network to identify potential genes related with CRC. The results showed SP1, RELA, STAT1, PPARA and TP53 arise as hub nodes in transcriptome network in accordance with previous studies, and new transcription factors and target genes related with CRC were also identified, such as HIF1A and NFIC both regulated the PFKFB3 in response to CRC. In general, it is demonstrated that transcriptome network analysis is useful in identification of CRC related genes.
To build a nuclear deterrent effectiveness evaluation model. Essentially based on nuclear deterrence, nuclear deterrence factors are analyzed and strategic nuclear deterrent performance system model is built. Based on Agent, nuclear deterrence performance assessment analysis model is constructed, the model is practical to solving complex problems and emerging issues performance assessment studies of nuclear deterrence has a strong reference value.
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