Evaluating the molecule-based prediction of clinical drug responses in cancer
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Evaluating the molecule-based prediction of clinical drug responses in cancer
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume 32, Issue 19, Pages 2891-2895
Publisher
Oxford University Press (OUP)
Online
2016-06-10
DOI
10.1093/bioinformatics/btw344
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improved large-scale prediction of growth inhibition patterns using the NCI60 cancer cell line panel
- (2015) Isidro Cortés-Ciriano et al. BIOINFORMATICS
- In Silico Prescription of Anticancer Drugs to Cohorts of 28 Tumor Types Reveals Targeting Opportunities
- (2015) Carlota Rubio-Perez et al. CANCER CELL
- Tumor-Derived Cell Lines as Molecular Models of Cancer Pharmacogenomics
- (2015) A. Goodspeed et al. MOLECULAR CANCER RESEARCH
- Predicting clinical response to anticancer drugs using an ex vivo platform that captures tumour heterogeneity
- (2015) Biswanath Majumder et al. Nature Communications
- A Phase I Dose Escalation and Expansion Study of the Anticancer Stem Cell Agent Demcizumab (Anti-DLL4) in Patients with Previously Treated Solid Tumors
- (2014) D. C. Smith et al. CLINICAL CANCER RESEARCH
- Irresistible force meets immoveable object
- (2014) NATURE BIOTECHNOLOGY
- Assessing the clinical utility of cancer genomic and proteomic data across tumor types
- (2014) Yuan Yuan et al. NATURE BIOTECHNOLOGY
- MicroRNA-449a reduces cell survival and enhances cisplatin-induced cytotoxicity via downregulation of NOTCH1 in ovarian cancer cells
- (2014) Yanqi Zhou et al. TUMOR BIOLOGY
- Systems biology of cisplatin resistance: past, present and future
- (2014) L Galluzzi et al. Cell Death & Disease
- Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell lines
- (2014) Paul Geeleher et al. GENOME BIOLOGY
- Precision Oncology: An Overview
- (2013) Levi A. Garraway et al. JOURNAL OF CLINICAL ONCOLOGY
- Tumour heterogeneity in the clinic
- (2013) Philippe L. Bedard et al. NATURE
- Mutational landscape and significance across 12 major cancer types
- (2013) Cyriac Kandoth et al. NATURE
- Pan-cancer patterns of somatic copy number alteration
- (2013) Travis I Zack et al. NATURE GENETICS
- The Cancer Genome Atlas Pan-Cancer analysis project
- (2013) John N Weinstein et al. NATURE GENETICS
- MicroRNA-30c inhibits human breast tumour chemotherapy resistance by regulating TWF1 and IL-11
- (2013) Jessica Bockhorn et al. Nature Communications
- Systematic identification of genomic markers of drug sensitivity in cancer cells
- (2012) Mathew J. Garnett et al. NATURE
- The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
- (2012) Jordi Barretina et al. NATURE
- Hallmarks of Cancer: The Next Generation
- (2011) Douglas Hanahan et al. CELL
- Genomics and Drug Response
- (2011) Liewei Wang et al. NEW ENGLAND JOURNAL OF MEDICINE
- Mir-30 reduction maintains self-renewal and inhibits apoptosis in breast tumor-initiating cells
- (2010) F Yu et al. ONCOGENE
- New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
- (2008) E.A. Eisenhauer et al. EUROPEAN JOURNAL OF CANCER
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started