Using a cell line breast cancer progression system to identify biomarker candidates

使用细胞系乳腺癌进展系统来识别生物标志物候选者

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作者:Ten-Yang Yen, Nicole Haste, Leslie C Timpe, Christina Litsakos-Cheung, Roger Yen, Bruce A Macher

Significance

Identifying glycoproteins differentially expressed during cancer progression results in information on the biological processes and key pathways associated with cancer. In addition, new hypotheses and potential biomarkers result from these glycoproteomic studies. Our glycoproteomic analysis of this model of breast cancer provides a roadmap for future experimental interventions to further tease apart critical components of tumor progression.

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