Data-Driven Metabolic Pathway Compositions Enhance Cancer Survival Prediction
نویسندگان
چکیده
منابع مشابه
Data-Driven Metabolic Pathway Compositions Enhance Cancer Survival Prediction
Altered cellular metabolism is an important characteristic and driver of cancer. Surprisingly, however, we find here that aggregating individual gene expression using canonical metabolic pathways fails to enhance the classification of noncancerous vs. cancerous tissues and the prediction of cancer patient survival. This supports the notion that metabolic alterations in cancer rewire cellular me...
متن کاملSphingosine 1-phosphate interacts with Survivin pathway to enhance tumorigenesis in cancer cells
Objective(s):Degradation of sphingosine 1-phosphate (S1P), as a bioactive lipid, or deregulation of its production involves in tumor progression, metastasis and chemoresistance. Since the tumor progression effects of S1P and its mechanism in chronic lymphoblastic leukemia and non-small cell lung cancer is not fully understood, we investigated the role and one of the mechanisms of S1P in tumor p...
متن کاملPrediction Axillary Lymph Node Involvement Status on Breast Cancer Data
Introduction: one of the foremost usual methods for evaluating breast cancer is the removal of axillary lymph nodes (ALN) which include complications such as edema, limited hand movements, and lymph accumulation. Although studies have shown that the sentinel gland condition represents the axillary nodules context in the mammary gland, the efficacy, and safety of the guard node biopsy need to be...
متن کاملData-Driven Prediction of CRISPR-Based Transcription Regulation for Programmable Control of Metabolic Flux
† WG and JS are equally contributed. * To whom correspondence should be addressed. X.F: Phone: (540) 231-2974. E-mail: [email protected]. Abstract. Multiplex and multi-directional control of metabolic pathways is crucial for metabolic engineering to improve product yield of fuels, chemicals, and pharmaceuticals. To achieve this goal, artificial transcriptional regulators such as CRISPR-based trans...
متن کاملPrediction of Breast Cancer Metastasis Using Fuzzy Models based on Data from Iranian Breast Cancer Patients
Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women. Diagnosing the breast cancer metastasis at the earliest stages helps to choose the best treatment and improve the quality of life for patients. Method: In the present fundamental r...
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: PLOS Computational Biology
سال: 2016
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1005125