Evaluation of frozen tissue-derived prognostic gene expression signatures in FFPE colorectal cancer samples
暂无分享,去创建一个
M. Washington | R. Goldberg | N. Deane | R. Beauchamp | K. Ciombor | Jing Zhu | C. Timmers | Xi Chen | Keeli B. Lewis | Chandrasekhar Padmanabhan
[1] A. Jemal,et al. Cancer treatment and survivorship statistics, 2016 , 2016, CA: a cancer journal for clinicians.
[2] X. Chen,et al. Comparison of Nanostring nCounter® Data on FFPE Colon Cancer Samples and Affymetrix Microarray Data on Matched Frozen Tissues , 2016, PloS one.
[3] Hans Clevers,et al. Single-cell messenger RNA sequencing reveals rare intestinal cell types , 2015, Nature.
[4] R. Salazar,et al. Personalizing colon cancer adjuvant therapy: selecting optimal treatments for individual patients. , 2015, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[5] M. Salto‐Tellez,et al. Re: test of four colon cancer risk-scores in formalin fixed paraffin embedded microarray gene expression data. , 2014, Journal of the National Cancer Institute.
[6] A. Jemal,et al. Cancer treatment and survivorship statistics, 2014 , 2014, CA: a cancer journal for clinicians.
[7] P. Gibbs,et al. Multicenter retrospective analysis of metastatic colorectal cancer (CRC) with high-level microsatellite instability (MSI-H). , 2014, Annals of oncology : official journal of the European Society for Medical Oncology.
[8] R. Coffey,et al. Deciphering Genomic Alterations in Colorectal Cancer through Transcriptional Subtype-Based Network Analysis , 2013, PloS one.
[9] Mingguang Shi,et al. A Network-Based Gene Expression Signature Informs Prognosis and Treatment for Colorectal Cancer Patients , 2012, PloS one.
[10] Steven J. M. Jones,et al. Comprehensive molecular characterization of human colon and rectal cancer , 2012, Nature.
[11] Paul C. Boutros,et al. NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data , 2012, Bioinform..
[12] Dimitris Anastassiou,et al. Human cancer cells express Slug-based epithelial-mesenchymal transition gene expression signature obtained in vivo , 2011, BMC Cancer.
[13] Sridhar Ramaswamy,et al. Development and independent validation of a prognostic assay for stage II colon cancer using formalin-fixed paraffin-embedded tissue. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[14] T. Yeatman,et al. Prognostic gene expression signature associated with two molecularly distinct subtypes of colorectal cancer , 2011, Gut.
[15] Maureen A. Smith,et al. Adjuvant chemotherapy for stage II colon cancer with poor prognostic features. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[16] L. Waldron,et al. mRNA transcript quantification in archival samples using multiplexed, color-coded probes , 2011, BMC biotechnology.
[17] Hans Clevers,et al. The intestinal stem cell signature identifies colorectal cancer stem cells and predicts disease relapse. , 2011, Cell stem cell.
[18] David B Jackson,et al. EMT is the dominant program in human colon cancer , 2011, BMC Medical Genomics.
[19] S. Paik,et al. Relationship between tumor gene expression and recurrence in four independent studies of patients with stage II/III colon cancer treated with surgery alone or surgery plus adjuvant fluorouracil plus leucovorin. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[20] T. Yeatman,et al. Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer. , 2010, Gastroenterology.
[21] J. Budczies,et al. A colorectal cancer expression profile that includes transforming growth factor beta inhibitor BAMBI predicts metastatic potential. , 2009, Gastroenterology.
[22] S. Mukherjee,et al. Adjuvant therapy for completely resected stage II colon cancer. , 2008, The Cochrane database of systematic reviews.
[23] Elena A. Manilich,et al. Development of a clinically feasible molecular assay to predict recurrence of stage II colon cancer. , 2008, Journal of Molecular Diagnostics.
[24] P. Fortina,et al. Digital mRNA profiling , 2008, Nature Biotechnology.
[25] S. Rha,et al. Whole genome analysis for liver metastasis gene signatures in colorectal cancer , 2007, International journal of cancer.
[26] A. Labarga,et al. A gene signature of 8 genes could identify the risk of recurrence and progression in Dukes' B colon cancer patients. , 2007, Oncology reports.
[27] S. Dudoit,et al. Prognosis of stage II colon cancer by non-neoplastic mucosa gene expression profiling , 2007, Oncogene.
[28] N. Kasabov,et al. Multiple Gene Expression Classifiers from Different Array Platforms Predict Poor Prognosis of Colorectal Cancer , 2007, Clinical Cancer Research.
[29] S. Dudoit,et al. Stage II colon cancer prognosis prediction by tumor gene expression profiling. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[30] I. Yang,et al. Molecular staging for survival prediction of colorectal cancer patients. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[31] David C. Atkins,et al. Gene expression profiles and molecular markers to predict recurrence of Dukes' B colon cancer. , 2004, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[32] Rafael A Irizarry,et al. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. , 2003, Biostatistics.
[33] A. Jemal,et al. Cancer statistics, 2015 , 2015, CA: a cancer journal for clinicians.
[34] X. Chen,et al. Molecular and Cellular Pathobiology Nuclear Factor of Activated T-cell Activity Is Associated with Metastatic Capacity in Colon Cancer , 2014 .
[35] Sabine Tejpar,et al. Test of four colon cancer risk-scores in formalin fixed paraffin embedded microarray gene expression data. , 2014, Journal of the National Cancer Institute.
[37] L. V. van't Veer,et al. Gene expression signature to improve prognosis prediction of stage II and III colorectal cancer. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[38] P. Nelson,et al. Microarray bioinformatics. , 2011, Methods in molecular biology.
[39] Cheng Li,et al. Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.
[40] R. Simon,et al. Gene expression profiling reveals a massive, aneuploidy-dependent transcriptional deregulation and distinct differences between lymph node-negative and lymph node-positive colon carcinomas. , 2007, Cancer research.
[41] B. Glimelius,et al. A systematic overview of chemotherapy effects in colorectal cancer. , 2001, Acta oncologica.
[42] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[43] J. Hardcastle,et al. Colorectal cancer , 1993, Europe Against Cancer European Commission Series for General Practitioners.
[44] N. Dubrawsky. Cancer statistics , 1989, CA: a cancer journal for clinicians.