International Journal of Molecular Sciences | |
Identification and Validation of a New Set of Five Genes for Prediction of Risk in Early Breast Cancer | |
Giorgio Mustacchi2  Maria Pia Sormani4  Paolo Bruzzi6  Alessandra Gennari3  Fabrizio Zanconati5  Daniela Bonifacio5  Adriana Monzoni1  | |
[1] Alphagenics Biotechnologies S.r.l., Area Science Park, Basovizza 34012, Italy; E-Mail:;Cancer Centre, ASS1 University of Trieste, Trieste 34012, Italy; E-Mail:;Medical Oncology Unit, Galliera Hospital, Genova 16128, Italy; E-Mail:;Biostatistics Unit, Department of Health Sciences, University of Genova, Genova 16121, Italy; E-Mail:;Anatomic Pathology Unit, University of Trieste, Trieste 34010, Italy; E-Mails:;Clinical Epidemiology, National Cancer Research Centre, Genova 16132, Italy; E-Mail: | |
关键词: breast cancer signature; RTqPCR; algorithm; FFPE; prognostic assay; | |
DOI : 10.3390/ijms14059686 | |
来源: mdpi | |
【 摘 要 】
Molecular tests predicting the outcome of breast cancer patients based on gene expression levels can be used to assist in making treatment decisions after consideration of conventional markers. In this study we identified a subset of 20 mRNA differentially regulated in breast cancer analyzing several publicly available array gene expression data using R/Bioconductor package. Using RTqPCR we evaluate 261 consecutive invasive breast cancer cases not selected for age, adjuvant treatment, nodal and estrogen receptor status from paraffin embedded sections. The biological samples dataset was split into a training (137 cases) and a validation set (124 cases). The gene signature was developed on the training set and a multivariate stepwise Cox analysis selected five genes independently associated with DFS:
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
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RO202003190036547ZK.pdf | 293KB | download |