The Radiogenomic Risk Score: Construction of a Prognostic Quantitative, Noninvasive Image-based Molecular Assay for Renal Cell Carcinoma.
暂无分享,去创建一个
Matthew A. Zapala | R. Tibshirani | J. Brooks | M. Kuo | N. Jamshidi | R. Korn | E. Jonasch | Hongjuan Zhao | Sudeep Banerjee | B. Ljungberg | Lejla Aganovic | Raviprakash Tumkur Sitaram
[1] D. Watson,et al. Translating tumor biology into personalized treatment planning: analytical performance characteristics of the Oncotype DX® Colon Cancer Assay , 2010, BMC Cancer.
[2] Shota Yamamoto,et al. ALK molecular phenotype in non-small cell lung cancer: CT radiogenomic characterization. , 2014, Radiology.
[3] Neema Jamshidi,et al. Illuminating radiogenomic characteristics of glioblastoma multiforme through integration of MR imaging, messenger RNA expression, and DNA copy number variation. , 2013, Radiology.
[4] Olivier Gevaert,et al. Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients. , 2015, Journal of neuroradiology. Journal de neuroradiologie.
[5] R. Tibshirani,et al. Alteration of Gene Expression Signatures of Cortical Differentiation and Wound Response in Lethal Clear Cell Renal Cell Carcinomas , 2009, PloS one.
[6] Neema Jamshidi,et al. Breast Cancer: Radiogenomic Biomarker Reveals Associations among Dynamic Contrast-enhanced MR Imaging, Long Noncoding RNA, and Metastasis. , 2015, Radiology.
[7] M. Kuo,et al. Behind the numbers: Decoding molecular phenotypes with radiogenomics--guiding principles and technical considerations. , 2014, Radiology.
[8] Stefan Glück,et al. Molecular Profiling for Breast Cancer: A Comprehensive Review , 2013, Biomarkers in cancer.
[9] William D. Dunn,et al. MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set. , 2013, Radiology.
[10] H. Hricak,et al. Radiogenomics of clear cell renal cell carcinoma: associations between CT imaging features and mutations. , 2013, Radiology.
[11] M. Cronin,et al. Analytical validation of the Oncotype DX genomic diagnostic test for recurrence prognosis and therapeutic response prediction in node-negative, estrogen receptor-positive breast cancer. , 2007, Clinical chemistry.
[12] Olivier Gevaert,et al. Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results. , 2012, Radiology.
[13] Ru-Fang Yeh,et al. Glioblastoma multiforme regional genetic and cellular expression patterns: influence on anatomic and physiologic MR imaging. , 2010, Radiology.
[14] L. V. van't Veer,et al. Clinical application of the 70-gene profile: the MINDACT trial. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[15] A. Nobel,et al. Concordance among gene-expression-based predictors for breast cancer. , 2006, The New England journal of medicine.
[16] M. Kuo,et al. Radiogenomic analysis to identify imaging phenotypes associated with drug response gene expression programs in hepatocellular carcinoma. , 2007, Journal of vascular and interventional radiology : JVIR.
[17] R. Arceci. Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing , 2012 .
[18] D. Watson,et al. Analytical validation of the Oncotype DX prostate cancer assay – a clinical RT-PCR assay optimized for prostate needle biopsies , 2013, BMC Genomics.
[19] D. D. Maki,et al. Radiogenomic analysis of breast cancer using MRI: a preliminary study to define the landscape. , 2012, AJR. American journal of roentgenology.
[20] Matthew A. Zapala,et al. Multivariate regression analysis of distance matrices for testing associations between gene expression patterns and related variables , 2006, Proceedings of the National Academy of Sciences.
[21] F. Jolesz,et al. Correction: Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme , 2012, PLoS ONE.
[22] Andrew M. K. Brown,et al. Variable Clonal Repopulation Dynamics Influence Chemotherapy Response in Colorectal Cancer , 2013, Science.
[23] Howard Y. Chang,et al. Long noncoding RNA HOTAIR reprograms chromatin state to promote cancer metastasis , 2010, Nature.
[24] Pan Du,et al. lumi: a pipeline for processing Illumina microarray , 2008, Bioinform..
[25] K. Aldape,et al. Identification of noninvasive imaging surrogates for brain tumor gene-expression modules , 2008, Proceedings of the National Academy of Sciences.
[26] Robert Tibshirani,et al. Gene Expression Profiling Predicts Survival in Conventional Renal Cell Carcinoma , 2005, PLoS medicine.
[27] A. Viera,et al. Understanding interobserver agreement: the kappa statistic. , 2005, Family medicine.
[28] Gyan Bhanot,et al. Molecular Stratification of Clear Cell Renal Cell Carcinoma by Consensus Clustering Reveals Distinct Subtypes and Survival Patterns. , 2010, Genes & cancer.
[29] Howard Y. Chang,et al. Decoding global gene expression programs in liver cancer by noninvasive imaging , 2007, Nature Biotechnology.