Identification and validation of single-sample breast cancer radiosensitivity gene expression predictors
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M. Fernö | J. Bergh | J. Staaf | P. Edén | P. Malmström | Martin Sjöström | F. Wärnberg | E. Niméus | I. Fredriksson | M. Sjöström | Patrik Edén
[1] S. Eschrich,et al. Tumour radiosensitivity is associated with immune activation in solid tumours. , 2017, European journal of cancer.
[2] M. Fernö,et al. Response to Radiotherapy After Breast-Conserving Surgery in Different Breast Cancer Subtypes in the Swedish Breast Cancer Group 91 Radiotherapy Randomized Clinical Trial. , 2017, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[3] Ian Krop,et al. Use of Biomarkers to Guide Decisions on Adjuvant Systemic Therapy for Women With Early-Stage Invasive Breast Cancer: American Society of Clinical Oncology Clinical Practice Guideline Focused Update. , 2017, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[4] L. Esserman,et al. Precision surgery and avoiding over-treatment. , 2017, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.
[5] N. Harbeck,et al. Breast cancer , 2017, The Lancet.
[6] S. Eschrich,et al. Integrating Biological Covariates into Gene Expression-Based Predictors of Radiation Sensitivity , 2017, International journal of genomics.
[7] Jacob G. Scott,et al. A genome-based model for adjusting radiotherapy dose (GARD): a retrospective, cohort-based study. , 2017, The Lancet. Oncology.
[8] Anushya Muruganujan,et al. PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements , 2016, Nucleic Acids Res..
[9] L. Holmberg,et al. No breast cancer subgroup can be spared postoperative radiotherapy after breast-conserving surgery. Fifteen-year results from the Swedish Breast Cancer Group randomised trial, SweBCG 91 RT. , 2016, European journal of cancer.
[10] R. Bast,et al. Use of Biomarkers to Guide Decisions on Adjuvant Systemic Therapy for Women With Early-Stage Invasive Breast Cancer: American Society of Clinical Oncology Clinical Practice Guideline. , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[11] C. Coles,et al. It's PRIMETIME. Postoperative Avoidance of Radiotherapy: Biomarker Selection of Women at Very Low Risk of Local Recurrence. , 2016, Clinical oncology (Royal College of Radiologists (Great Britain)).
[12] Wei Zhu,et al. Centromere and kinetochore gene misexpression predicts cancer patient survival and response to radiotherapy and chemotherapy , 2016, Nature Communications.
[13] O. Stål,et al. Met and its ligand HGF are associated with clinical outcome in breast cancer , 2016, Oncotarget.
[14] S. Barillé-Nion,et al. Survivin contributes to DNA repair by homologous recombination in breast cancer cells , 2015, Breast Cancer Research and Treatment.
[15] M. J. van de Vijver,et al. Integration of a Radiosensitivity Molecular Signature Into the Assessment of Local Recurrence Risk in Breast Cancer. , 2015, International journal of radiation oncology, biology, physics.
[16] Felix Y. Feng,et al. Development and Validation of a Novel Radiosensitivity Signature in Human Breast Cancer , 2015, Clinical Cancer Research.
[17] Matthew E. Ritchie,et al. limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.
[18] Donald Geman,et al. switchBox: an R package for k-Top Scoring Pairs classifier development , 2015, Bioinform..
[19] Å. Borg,et al. High risk of in-breast tumor recurrence after BRCA1/2-associated breast cancer , 2014, Breast Cancer Research and Treatment.
[20] A. Frigessi,et al. Development and Validation of a Gene Profile Predicting Benefit of Postmastectomy Radiotherapy in Patients with High-Risk Breast Cancer: A Study of Gene Expression in the DBCG82bc Cohort , 2014, Clinical Cancer Research.
[21] Sean Ferree,et al. Analytical validation of the PAM50-based Prosigna Breast Cancer Prognostic Gene Signature Assay and nCounter Analysis System using formalin-fixed paraffin-embedded breast tumor specimens , 2014, BMC Cancer.
[22] Donald Geman,et al. Rank discriminants for predicting phenotypes from RNA expression , 2014, 1401.1490.
[23] J. Bergh,et al. Interactions between immunity, proliferation and molecular subtype in breast cancer prognosis , 2013, Genome Biology.
[24] Lu Tian,et al. A Simple Method for Detecting Interactions between a Treatment and a Large Number of Covariates , 2012, 1212.2995.
[25] Yudi Pawitan,et al. Validation of a Radiosensitivity Molecular Signature in Breast Cancer , 2012, Clinical Cancer Research.
[26] Emmanuel Barillot,et al. Search for a Gene Expression Signature of Breast Cancer Local Recurrence in Young Women , 2012, Clinical Cancer Research.
[27] Wei Shi,et al. BeadArray Expression Analysis Using Bioconductor , 2011, PLoS Comput. Biol..
[28] Early Breast Canc Trialists Collab. Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10 801 women in 17 randomised trials , 2011 .
[29] Xavier Robin,et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves , 2011, BMC Bioinformatics.
[30] M. Ringnér,et al. Prediction of Stage, Grade, and Survival in Bladder Cancer Using Genome-wide Expression Data: A Validation Study , 2010, Clinical Cancer Research.
[31] Carsten Peterson,et al. Gene expression profiling in primary breast cancer distinguishes patients developing local recurrence after breast-conservation surgery, with or without postoperative radiotherapy , 2008, Breast Cancer Research.
[32] F. B. Sørensen,et al. Impact of BCL2 and p53 on postmastectomy radiotherapy response in high-risk breast cancer. A subgroup analysis of DBCG82 b&c , 2008, Acta oncologica.
[33] Emmanuel Chamorey,et al. HIF‐1α and CA IX staining in invasive breast carcinomas: Prognosis and treatment outcome , 2007 .
[34] Howard Y. Chang,et al. Predicting a local recurrence after breast-conserving therapy by gene expression profiling , 2006, Breast Cancer Research.
[35] M. J. van de Vijver,et al. Gene Expression Profiles of Primary Breast Carcinomas from Patients at High Risk for Local Recurrence after Breast-Conserving Therapy , 2006, Clinical Cancer Research.
[36] Yudong D. He,et al. A Gene-Expression Signature as a Predictor of Survival in Breast Cancer , 2002 .
[37] Carsten O. Peterson,et al. Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns. , 2001, Cancer research.
[38] K. Roberg,et al. Nuclear expression of WRAP53β is associated with a positive response to radiotherapy and improved overall survival in patients with head and neck squamous cell carcinoma. , 2015, Oral oncology.
[39] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[40] Emmanuel Chamorey,et al. HIF-1alpha and CA IX staining in invasive breast carcinomas: prognosis and treatment outcome. , 2007, International journal of cancer.