Gene expression patterns that predict sensitivity to epidermal growth factor receptor tyrosine kinase inhibitors in lung cancer cell lines and human lung tumors.
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Is there a role for epidermal growth factor receptor tyrosine kinase inhibitors in epidermal growth factor receptor wild-type non-small cell lung cancer?Characterizing tyrosine phosphorylation signaling in lung cancer using SH2 profilingThe COXEN principle: translating signatures of in vitro chemosensitivity into tools for clinical outcome prediction and drug discovery in cancer.Comparison of global versus epidermal growth factor receptor pathway profiling for prediction of lapatinib sensitivity in bladder cancer.A gene expression predictor of response to EGFR-targeted therapy stratifies progression-free survival to cetuximab in KRAS wild-type metastatic colorectal cancerTransgene expression is associated with copy number and cytomegalovirus promoter methylation in transgenic pigsGene expression profiles of lung adenocarcinoma linked to histopathological grading and survival but not to EGF-R status: a microarray study.Development of transcriptomic biomarker signature in human saliva to detect lung cancerSequential application of anticancer drugs enhances cell death by rewiring apoptotic signaling networks.EZH2 inhibition sensitizes BRG1 and EGFR mutant lung tumours to TopoII inhibitors.Identifying resistance mechanisms against five tyrosine kinase inhibitors targeting the ERBB/RAS pathway in 45 cancer cell lines.Genome-wide analysis of three-way interplay among gene expression, cancer cell invasion and anti-cancer compound sensitivity.Pathway profiling and rational trial design for studies in advanced stage cervical carcinoma: a review and a perspective.Genomic dissection of the epidermal growth factor receptor (EGFR)/PI3K pathway reveals frequent deletion of the EGFR phosphatase PTPRS in head and neck cancers.Modeling the transcriptional consequences of epidermal growth factor receptor ablation in Ras-initiated squamous cancer.A microRNA gene expression signature predicts response to erlotinib in epithelial cancer cell lines and targets EMT.Enhancement of the antitumor activity of ionising radiation by nimotuzumab, a humanised monoclonal antibody to the epidermal growth factor receptor, in non-small cell lung cancer cell lines of differing epidermal growth factor receptor status.Molecular predictors of EGFR-TKI sensitivity in advanced non-small cell lung cancer.Genomic markers of panitumumab resistance including ERBB2/ HER2 in a phase II study of KRAS wild-type (wt) metastatic colorectal cancer (mCRC).Predicting drug susceptibility of non-small cell lung cancers based on genetic lesions.Genetic and epigenetic alterations as biomarkers for cancer detection, diagnosis and prognosis.Therapeutic target database update 2014: a resource for targeted therapeutics.Genomic medicine in non-small cell lung cancer: paving the path to personalized care.Array-based pharmacogenomics of molecular-targeted therapies in oncology.A microRNA signature of response to erlotinib is descriptive of TGFβ behaviour in NSCLC.Inhibition of class IA PI3K enzymes in non-small cell lung cancer cells uncovers functional compensation among isoforms.RAF1-MEK1-ERK/AKT axis may confer NSCLC cell lines resistance to erlotinibAnalysis of bypass signaling in EGFR pathway and profiling of bypass genes for predicting response to anticancer EGFR tyrosine kinase inhibitors.Inhibition of phosphodiesterase-4 (PDE4) activity triggers luminal apoptosis and AKT dephosphorylation in a 3-D colonic-crypt model.The green tea polyphenol EGCG potentiates the antiproliferative activity of c-Met and epidermal growth factor receptor inhibitors in non-small cell lung cancer cells.Annotation enrichment analysis: an alternative method for evaluating the functional properties of gene sets.Molecular signatures of lung cancer: defining new diagnostic and therapeutic paradigms.[Classification and regression tree analysis of clinical patterns to predict the survival of patients with advanced non-small cell lung cancer treated with erlotinib].[Classification and regression tree analysis of clinical patterns that predict survival in 127 Chinese patients with advanced non-small cell lung cancer treated by gefitinib who failed to previous chemotherapy].
P2860
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P2860
Gene expression patterns that predict sensitivity to epidermal growth factor receptor tyrosine kinase inhibitors in lung cancer cell lines and human lung tumors.
description
2006 nî lūn-bûn
@nan
2006 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Gene expression patterns that ...... l lines and human lung tumors.
@ast
Gene expression patterns that ...... l lines and human lung tumors.
@en
type
label
Gene expression patterns that ...... l lines and human lung tumors.
@ast
Gene expression patterns that ...... l lines and human lung tumors.
@en
prefLabel
Gene expression patterns that ...... l lines and human lung tumors.
@ast
Gene expression patterns that ...... l lines and human lung tumors.
@en
P2093
P2860
P356
P1433
P1476
Gene expression patterns that ...... l lines and human lung tumors.
@en
P2093
Anil Potti
Arnold Stromberg
Christopher Saunders
Eric B Haura
Esther P Black
P2860
P2888
P356
10.1186/1471-2164-7-289
P407
P577
2006-11-10T00:00:00Z
P5875
P6179
1037187027