Cell line name recognition in support of the identification of synthetic lethality in cancer from text

Motivation: The recognition and normalization of cell line names in text is an important task in biomedical text mining research, facilitating for instance the identification of synthetically lethal genes from the literature. While several tools have previously been developed to address cell line recognition, it is unclear whether available systems can perform sufficiently well in realistic and broad-coverage applications such as extracting synthetically lethal genes from the cancer literature.

Identification and Validation of WISP1 as an Epigenetic Regulator of Metastasis in Oral Squamous Cell Carcinoma

Lymph node (LN) metastasis is the most important prognostic factor in oral squamous cell carcinoma (OSCC) patients. However, in approximately one third of OSCC patients nodal metastases remain undetected, and thus are not adequately treated. Therefore, clinical assessment of LN metastasis needs to be improved. The purpose of this study was to identify DNA methylation biomarkers to predict LN metastases in OSCC. Genome wide methylation assessment was performed on six OSCC with (N+) and six without LN metastases (N0).

Mar/02 08:45 - Mar/02 18:00
het Pand, Ghent University, Onderbergen, Ghent, Belgium


Basic, translational and clinical cancer researchers from Ghent University, UGent-VIB and Ghent University Hospital will present their new work.

OncoPoint's aim is to provide a common interface and substrate to meet fellow cancer researchers and discuss, exchange information, and start collaborations.


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