Identification of the Gene Expression Rules That Define the Subtypes in Glioma
文献类型：期刊论文
| 作者 | Cai, Yu-Dong2; Zhang, Shiqi2; Zhang, Shiqi7; Zhang, Yu-Hang1; Huang, Tao1; Kong, Xiangyin1; Pan, Xiaoyong6; Feng, KaiYan5; Chen, Lei3,4; , |
| 刊名 | JOURNAL OF CLINICAL MEDICINE
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| 出版日期 | 2018 |
| 卷号 | 7期号:10页码:350 |
| 关键词 | glioma gene expression Monte Carlo feature selection Johnson reducer algorithm support vector machine |
| ISSN号 | 2077-0383 |
| DOI | 10.3390/jcm7100350 |
| 文献子类 | Article |
| 英文摘要 | As a common brain cancer derived from glial cells, gliomas have three subtypes: glioblastoma, diffuse astrocytoma, and anaplastic astrocytoma. The subtypes have distinctive clinical features but are closely related to each other. A glioblastoma can be derived from the early stage of diffuse astrocytoma, which can be transformed into anaplastic astrocytoma. Due to the complexity of these dynamic processes, single-cell gene expression profiles are extremely helpful to understand what defines these subtypes. We analyzed the single-cell gene expression profiles of 5057 cells of anaplastic astrocytoma tissues, 261 cells of diffuse astrocytoma tissues, and 1023 cells of glioblastoma tissues with advanced machine learning methods. In detail, a powerful feature selection method, Monte Carlo feature selection (MCFS) method, was adopted to analyze the gene expression profiles of cells, resulting in a feature list. Then, the incremental feature selection (IFS) method was applied to the obtained feature list, with the help of support vector machine (SVM), to extract key features (genes) and construct an optimal SVM classifier. Several key biomarker genes, such as IGFBP2, IGF2BP3, PRDX1, NOV, NEFL, HOXA10, GNG12, SPRY4, and BCL11A, were identified. In addition, the underlying rules of classifying the three subtypes were produced by Johnson reducer algorithm. We found that in diffuse astrocytoma, PRDX1 is highly expressed, and in glioblastoma, the expression level of PRDX1 is low. These rules revealed the difference among the three subtypes, and how they are formed and transformed. These genes are not only biomarkers for glioma subtypes, but also drug targets that may switch the clinical features or even reverse the tumor progression. |
| 学科主题 | General & Internal Medicine |
| WOS关键词 | EPITHELIAL-MESENCHYMAL TRANSITION ; LONG NONCODING RNA ; GLIOBLASTOMA STEM-CELLS ; CARLO FEATURE-SELECTION ; METABOLIC PATHWAY ; HOX PROTEINS ; SELF-RENEWAL ; TUMOR ; PROLIFERATION ; METASTASIS |
| 语种 | 英语 |
| WOS记录号 | WOS:000448819000058 |
| 出版者 | MDPI |
| 版本 | 出版稿 |
| 源URL | [http://202.127.25.144/handle/331004/864]  |
| 专题 | 中国科学院上海生命科学研究院营养科学研究所 |
| 作者单位 | 1.Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Hlth Sci, Shanghai 200031, Peoples R China; 2.Shanghai Univ, Sch Life Sci, Shanghai 200444, Peoples R China; 3.East China Normal Univ, Shanghai Key Lab Pure Math & Math Practice PMMP, Shanghai 200241, Peoples R China, 4.Shanghai Maritime Univ, Coll Informat Engn, Shanghai 201306, Peoples R China; 5.Guangdong AIB Polytech, Dept Comp Sci, Guangzhou 510507, Guangdong, Peoples R China; 6.Erasmus MC, Dept Med Informat, NL-3014ZK Rotterdam, Netherlands; 7.Univ Copenhagen, Dept Biostat, DK-2099 Copenhagen, Denmark; |
| 推荐引用方式 GB/T 7714 | Cai, Yu-Dong,Zhang, Shiqi,Zhang, Shiqi,et al. Identification of the Gene Expression Rules That Define the Subtypes in Glioma[J]. JOURNAL OF CLINICAL MEDICINE,2018,7(10):350. |
| APA | Cai, Yu-Dong.,Zhang, Shiqi.,Zhang, Shiqi.,Zhang, Yu-Hang.,Huang, Tao.,...&,.(2018).Identification of the Gene Expression Rules That Define the Subtypes in Glioma.JOURNAL OF CLINICAL MEDICINE,7(10),350. |
| MLA | Cai, Yu-Dong,et al."Identification of the Gene Expression Rules That Define the Subtypes in Glioma".JOURNAL OF CLINICAL MEDICINE 7.10(2018):350. |
入库方式： OAI收割
来源：上海营养与健康研究所
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