作者: Surekha Damineni , Sai A Balaji , Abhijith Shettar , Swetha Nayanala , Neeraj Kumar
关键词: Oncology 、 CD44 、 Epithelial–mesenchymal transition 、 Gene knockdown 、 Breast carcinoma 、 Lymph node 、 Medicine 、 Internal medicine 、 Breast cancer 、 Biomarker (medicine) 、 Metastasis
摘要: The prediction of who develops metastasis has been the most difficult aspect in management breast cancer patients. lymph node useful predictor prognosis and patient management. However, a good proportion patients with positivity remain disease free for 5 years or more, while about third those were negative develop distant within same period. This warrants robust biomarker(s), preferably gene expression based. In order to elucidate gene-based biomarkers cancers, profiling primary tumors follow-up over performed. analysis revealed network genes centered around tripartite motif-containing protein 28 as an important indicator progression. Short hairpin RNA-mediated knockdown cells decreased epithelial-to-mesenchymal transition markers increased epithelial markers, migration invasion, chemosensitivity doxorubicin, 5-fluorouracil, methotrexate. Furthermore, resulted decrease stemness by sphere formation assay well CD44 Bmi1. Moreover, significantly reduced tumor size lung orthotopic xenograft immunocompromised mice. was further when these mice treated doxorubicin. These data provide evidence biomarker potential therapeutic target cancer.