A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma
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- 作者：Gregory P. Way ; Robert J. Allaway ; Stephanie J. Bouley ; Camilo E. Fadul…
- 关键词：Neurofibromatosis Type I ; Glioblastoma ; Machine Learning ; Cancer ; NF1 Inactivation ; Classifier
- 刊名：BMC Genomics
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：18
- 期：1
- 全文大小：1025KB
- 刊物主题：Life Sciences, general; Microarrays; Proteomics; Animal Genetics and Genomics; Microbial Genetics and Genomics; Plant Genetics & Genomics;
- 出版者：BioMed Central
- ISSN：1471-2164
- 卷排序：18
文摘
BackgroundWe have identified molecules that exhibit synthetic lethality in cells with loss of the neurofibromin 1 (NF1) tumor suppressor gene. However, recognizing tumors that have inactivation of the NF1 tumor suppressor function is challenging because the loss may occur via mechanisms that do not involve mutation of the genomic locus. Degradation of the NF1 protein, independent of NF1 mutation status, phenocopies inactivating mutations to drive tumors in human glioma cell lines. NF1 inactivation may alter the transcriptional landscape of a tumor and allow a machine learning classifier to detect which tumors will benefit from synthetic lethal molecules.