Gene expression-based prognostic signatures in lung cancer: ready for clinical use?
about
Gas discharge visualization: an imaging and modeling tool for medical biometricsHybrid models identified a 12-gene signature for lung cancer prognosis and chemoresponse predictionMolecular biology of lung cancer: clinical implicationsXPC mRNA level may predict relapse in never-smokers with non-small cell lung cancersThe expression of four genes as a prognostic classifier for stage I lung adenocarcinoma in 12 independent cohortsA robust tool for discriminative analysis and feature selection in paired samples impacts the identification of the genes essential for reprogramming lung tissue to adenocarcinomaYin Yang gene expression ratio signature for lung cancer prognosisLung Cancer Gene Signatures and Clinical PerspectivesA novel five gene signature derived from stem-like side population cells predicts overall and recurrence-free survival in NSCLCGrowth of lung cancer cells in three-dimensional microenvironments reveals key features of tumor malignancyEpidermal growth factor receptor tyrosine kinase defines critical prognostic genes of stage I lung adenocarcinomaHighlight report: Validation of prognostic genes in lung cancerKernelized partial least squares for feature reduction and classification of gene microarray dataIntegrated DNA Copy Number and Gene Expression Regulatory Network Analysis of Non-small Cell Lung Cancer MetastasisPredicting Prognosis of Early-Stage Non-Small Cell Lung Cancer Using the GeneFx® Lung SignatureTest-retest reproducibility analysis of lung CT image featuresPrognosis Research Strategy (PROGRESS) 2: prognostic factor researchA simple but highly effective approach to evaluate the prognostic performance of gene expression signaturesComprehensive evaluation of published gene expression prognostic signatures for biomarker-based lung cancer clinical studies.Comparative effectiveness research, genomics-enabled personalized medicine, and rapid learning health care: a common bond.Exploiting the noise: improving biomarkers with ensembles of data analysis methodologies.SurvExpress: an online biomarker validation tool and database for cancer gene expression data using survival analysisGood practice guidelines for biomarker discovery from array data: a case study for breast cancer prognosis.Using logistic regression to improve the prognostic value of microarray gene expression data sets: application to early-stage squamous cell carcinoma of the lung and triple negative breast carcinomaOn Predicting lung cancer subtypes using 'omic' data from tumor and tumor-adjacent histologically-normal tissue.A rank-based transcriptional signature for predicting relapse risk of stage II colorectal cancer identified with proper data sources.CXCL5 as a potential novel prognostic factor in early stage non-small cell lung cancer: results of a study of expression levels of 23 genes.permGPU: Using graphics processing units in RNA microarray association studies.Co-expression network analysis identifies Spleen Tyrosine Kinase (SYK) as a candidate oncogenic driver in a subset of small-cell lung cancerEpithelial-mesenchymal transition-associated secretory phenotype predicts survival in lung cancer patients.Cross-study validation for the assessment of prediction algorithms.Protein signature for non-small cell lung cancer prognosis.Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data.Designing biomarker studies for head and neck cancer.C4.4A as a biomarker in pulmonary adenocarcinoma and squamous cell carcinomaA program to identify prognostic and predictive gene signaturesIdentification of unique expression signatures and therapeutic targets in esophageal squamous cell carcinoma.Peripheral immune cell gene expression predicts survival of patients with non-small cell lung cancer.Criteria for the use of omics-based predictors in clinical trials.Genomic signatures for predicting survival and adjuvant chemotherapy benefit in patients with non-small-cell lung cancer
P2860
Q21296809-B9BB28BF-4B92-4D66-8D45-80E2F22F8DCAQ23924046-90C3E1E7-C927-4FBE-B83C-C8D63D187B8BQ24610335-E19E4499-7800-459E-BCB1-E8478CAF31A6Q28246216-2B4A72AD-B7F5-49E7-8C16-BADF9DD01B6FQ28383695-496B1324-A83B-427A-B815-31D022F0CB69Q28385552-70DF965E-8108-4EFA-B286-82D9B5B24A95Q28385778-BCF36F48-A6FD-43E7-A6BC-8597086C2D11Q28387769-31BCF705-355C-4163-8A3E-1CAFF81682BBQ28387995-9C8385B6-5761-407A-AB7B-4098A0FECC89Q28388539-9B825886-2125-49B3-98BA-A5D5E441F3EEQ28388842-5D46CF06-4AE6-40D4-ADE9-FF20BE1AEDA7Q28396184-0D1D59D9-204B-4C8D-B204-8B4138B4B0B9Q28396969-79DF15C9-4664-441E-B4AE-1CBE3BC7B8B6Q28397049-78DC7465-9969-4EBB-85EB-1B234157204AQ28608174-1BA42CB4-3B68-457A-96B4-A625E7307B15Q28649954-BE2CDC4E-ED37-4098-849D-3092D090CE1BQ28709212-C3CE07F8-8205-45D0-B517-9F212D974172Q28741755-2430AF20-7F5E-4F46-B470-D2897090F81BQ30235944-85AB9969-3FE5-448A-8171-8A7E15081D01Q30416074-EEF1F825-8572-47CD-BEB8-7E379616EC66Q30536424-D10466AE-C6BE-40F5-9C44-CC3118B151CBQ30670039-E3C7520D-00EC-4A80-BC8A-0EC4041BC563Q30763493-D8D78EB3-0252-44BE-990B-D5B30B889A45Q30830295-6CFDB938-69AF-4678-90D2-5F06E414FFB0Q31053216-508F786D-20D5-400C-A1FB-831F7BCBD32AQ31056926-B9326FE6-12D2-48AC-8F51-84B4977368CBQ33562564-A05697F3-A168-4440-BA3B-0F37301B6648Q33606273-F45595E8-E1C0-46EF-9439-EB6415E64FEEQ33643375-6D19FDD0-99CD-4E80-ABC1-7548DFA275CCQ33705213-F0AE2F76-5143-4DBB-8937-2022C4690CADQ33760371-C8899EAC-E718-4451-AC89-0A7EEF5CB023Q33785608-C1AC7555-1C26-4C4F-BB70-DBE4517A4B34Q33821757-8608AD78-77A9-4F86-8065-049AEFDB582BQ33971467-BC4C4043-0440-497E-87FC-A32043BAB56BQ34031219-02F44FEF-5EF7-4384-A1BF-6B742AC5AFC8Q34105960-4FCCEE5C-74DF-4DA3-9C3E-26400BAB8601Q34142332-109A8EEC-1EAD-43E3-BBCE-F29F75E0AE20Q34222535-C86D423A-CA08-4F22-B26A-B7CBF5343A07Q34269875-C403007A-18D0-4FD0-9860-7D69B8289277Q34322495-71FB6098-13D6-448D-AF66-6E03D730D0B2
P2860
Gene expression-based prognostic signatures in lung cancer: ready for clinical use?
description
2010 nî lūn-bûn
@nan
2010 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մարտին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Gene expression-based prognostic signatures in lung cancer: ready for clinical use?
@ast
Gene expression-based prognostic signatures in lung cancer: ready for clinical use?
@en
type
label
Gene expression-based prognostic signatures in lung cancer: ready for clinical use?
@ast
Gene expression-based prognostic signatures in lung cancer: ready for clinical use?
@en
prefLabel
Gene expression-based prognostic signatures in lung cancer: ready for clinical use?
@ast
Gene expression-based prognostic signatures in lung cancer: ready for clinical use?
@en
P2860
P356
P1476
Gene expression-based prognostic signatures in lung cancer: ready for clinical use?
@en
P2093
Jyothi Subramanian
Richard Simon
P2860
P304
P356
10.1093/JNCI/DJQ025
P407
P577
2010-03-16T00:00:00Z