Reliable detection of disseminated tumor cells and of the biodistribution of tumor-targeting therapeutic antibodies within the entire body has long been needed to better understand and treat cancer metastasis. Here, we developed an integrated pipelin...
PURPOSE: The prediction of clinical outcomes for patients with cancer is central to precision medicine and the design of clinical trials. We developed and validated machine-learning models for three important clinical end points in patients with adva...
Integrative biology : quantitative biosciences from nano to macro
Dec 19, 2018
Metastasis is the cause of death in most patients of breast cancer and other solid malignancies. Identification of cancer cells with highly migratory capability to metastasize relies on markers for epithelial-to-mesenchymal transition (EMT), a proces...
Cancer progression involves the gradual loss of a differentiated phenotype and acquisition of progenitor and stem-cell-like features. Here, we provide novel stemness indices for assessing the degree of oncogenic dedifferentiation. We used an innovati...
Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
Dec 15, 2017
OBJECTIVE: To explore the application of intramedullary nail fixation combined with auxiliary plate and bone cement in the palliative treatment of pathologic fracture of extremities caused by metastatic tumors.
OBJECTIVE: We evaluated the impact of pre-therapeutic hematopoiesis on survival, hematotoxicity (HT) and number of Radium (Ra) treatments in patients with metastatic castration-resistant prostate cancer.
BACKGROUND: Drugs targeting mammalian target of rapamycin signaling pathway have been recently approved for treatment of hormone receptor (HR) positive metastatic breast cancer (MBC). However, there is lack of real world data from India on the use of...
Accurate and reliable modelling of protein-protein interaction networks for complex diseases such as colorectal cancer can help better understand mechanism of diseases and potentially discover new drugs. Different machine learning methods such as emp...
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