Personalized Devices Predict Cancer Drug Sensitivity In Vivo:
نویسندگان
چکیده
منابع مشابه
Pretreatment deoxycytidine kinase levels predict in vivo gemcitabine sensitivity.
Deoxycytidine kinase (dCK) is essential for the phosphorylation of gemcitabine (2',2'-difluorodeoxycytidine), a deoxycytidine analogue active against various solid tumors. Cytidine deaminase (CDA) catalyzes the degradation of gemcitabine. We determined whether dCK and/or CDA levels would predict response to gemcitabine. Activities of dCK and CDA were measured in a panel of eight gemcitabine-sen...
متن کاملCorrection: In Vitro Drug Sensitivity Tests to Predict Molecular Target Drug Responses in Surgically Resected Lung Cancer
BACKGROUND Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) and anaplastic lymphoma kinase (ALK) inhibitors have dramatically changed the strategy of medical treatment of lung cancer. Patients should be screened for the presence of the EGFR mutation or echinoderm microtubule-associated protein-like 4 (EML4)-ALK fusion gene prior to chemotherapy to predict their clinical r...
متن کاملIntegrating Domain Specific Knowledge and Network Analysis to Predict Drug Sensitivity of Cancer Cell Lines
One of fundamental challenges in cancer studies is that varying molecular characteristics of different tumor types may lead to resistance to certain drugs. As a result, the same drug can lead to significantly different results in different types of cancer thus emphasizing the need for individualized medicine. Individual prediction of drug response has great potential to aid in improving the cli...
متن کاملDrug testing in the patient: toward personalized cancer treatment.
Two different devices show that delivery of cancer drugs directly into tumors in vivo can indicate cancer sensitivity; if implemented in clinical practice, these devices have the potential to reduce indiscriminate drug use, to improve survival, and to reduce unnecessary adverse effects (Jonas et al. and Klinghoffer et al., this issue).
متن کاملA Network Flow-Based Method to Predict Anticancer Drug Sensitivity
Predicting anticancer drug sensitivity can enhance the ability to individualize patient treatment, thus making development of cancer therapies more effective and safe. In this paper, we present a new network flow-based method, which utilizes the topological structure of pathways, for predicting anticancer drug sensitivities. Mutations and copy number alterations of cancer-related genes are assu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the National Cancer Institute
سال: 2015
ISSN: 0027-8874,1460-2105
DOI: 10.1093/jnci/djv267