p300 Expression is Related to High-risk Human Papillomavirus Infections and Severity of Cervical Intraepithelial Neoplasia But Not to Viral or Disease Outcomes in a Longitudinal Setting:

Inhibition of p300 suppresses growth of breast cancer. Role of p300 subcellular localization

There is evidence that p300, a transcriptional co-factor and a lysine acetyl-transferase, could play a role both as an oncoprotein and as a tumor suppressor, although little is known regarding its role in breast cancer (BC). First we investigated the role p300 has on BC by performing pharmacological inhibition of p300 acetyl-transferase function and analyzing the effects on cell count, migration and invasion in LM3 murine breast cancer cell line and on tumor progression in a syngeneic murine model. We subsequently studied p300 protein expression in human BC biopsies and evaluated its correlation with clinical and histopathological parameters of the patients. We observed that inhibition of p300 induced apoptosis and reduced migration and invasion in cultured LM3 cells. Furthermore, a significant reduction in tumor burden, number of lung metastases and number of tumors invading the abdominal cavity was observed in a syngeneic tumor model of LM3 following treatment with the p300 inhibitor. This reduction in tumor burden was accompanied by a decrease in the mitotic index and Ki-67 levels and an increase in Bax expression. Moreover, the analysis of p300 expression in human BC samples showed that p300 immunoreactivity is significantly higher in the cancerous tissues than in the non-malignant mammary tissues and in the histologically normal adjacent tissues. Interestingly, p300 was observed in the cytoplasm, and the rate of cytoplasmic p300 was higher in BC than in non-tumor tissues. Importantly, we found that cytoplasmic localization of p300 is associated with a longer overall survival time of the patients. In conclusion, we demonstrated that inhibition of the acetylase function of p300 reduces both cell count and invasion in LM3 cells, and decreases tumor progression in the animal model. In addition, we show that the presence of p300 in the cytoplasm correlates with increased survival of patients suggesting that its nuclear localization is necessary for the pro-tumoral effects.

The prediction of candidate genes for cervix related cancer through gene ontology and graph theoretical approach

With rapidly changing technology, prediction of candidate genes has become an indispensable task in recent years mainly in the field of biological research. The empirical methods for candidate gene prioritization that succors to explore the potential pathway between genetic determinants and complex diseases are highly cumbersome and labor intensive. In such a scenario predicting potential targets for a disease state through in silico approaches are of researcher's interest. The prodigious availability of protein interaction data coupled with gene annotation renders an ease in the accurate determination of disease specific candidate genes. In our work we have prioritized the cervix related cancer candidate genes by employing Csaba Ortutay and his co-workers approach of identifying the candidate genes through graph theoretical centrality measures and gene ontology. With the advantage of the human protein interaction data, cervical cancer gene sets and the ontological terms, we were able to predict 15 novel candidates for cervical carcinogenesis. The disease relevance of the anticipated candidate genes was corroborated through a literature survey. Also the presence of the drugs for these candidates was detected through Therapeutic Target Database (TTD) and DrugMap Central (DMC) which affirms that they may be endowed as potential drug targets for cervical cancer.