Gene Expression Difference Between Primary and Metastatic Renal Cell Carcinoma Using Patient-Derived Xenografts
文献类型：期刊论文
| 作者 | Jiang, Yang1; Pan, Xiaoyong2,3,4; Zhang, Yu-Hang5; Huang, Tao5; Gao, Yufei6; , |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2019 |
| 卷号 | 7期号:-页码:142586-142594 |
| 关键词 | Tumors Classification algorithms Support vector machines Feature extraction Mice Metastasis Tumor metastasis patient-derived xenografts gene expression Monte Carlo feature selection support vector machine |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2019.2944132 |
| 文献子类 | Article |
| 英文摘要 | Metastasis is the leading cause of cancer-related death. A small proportion of tumor cells can spread to other tissues through the lymph system or bloodstream and colonize in a new microenvironment. However, not all tumors from the primary site can metastasize. What is the difference between metastatic and primary tumors? Can such difference be preserved in widely used patient-derived xenografts (PDX)? To answer these questions, we analyzed the single-cell gene expression profiles of 36 cells from PDX of metastatic renal cell carcinoma (mRCC), 47 cells from PDX of primary RCC (pRCC), and 35 cells from parental mRCC (pt-mRCC). First, the gene expression patterns of PDX-mRCC and PDX-pRCC were compared, and the PDX-mRCC signatures were generated. Such signatures reflected the difference between metastatic and primary tumors. Second, the pt-mRCC were tested on whether they can be correctly classified into the PDX-mRCC class rather than PDX-pRCC. We found that pt-mRCC were very similar with PDX-mRCC. Our results prove that the PDX is a great research model for metastatic tumors since it preserved the essences for tumor metastasis. Our results justify the applications of PDX in metastatic tumor studies. |
| 学科主题 | Science & Technology - Other Topics |
| WOS关键词 | CARLO FEATURE-SELECTION ; CANCER ; IDENTIFICATION ; PROGRESSION ; RNA ; SEMAPHORINS ; SIGNATURES ; MIGRATION ; FEATURES ; THERAPY |
| 语种 | 英语 |
| WOS记录号 | WOS:000497156000196 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 版本 | 出版稿 |
| 源URL | [http://202.127.25.144/handle/331004/938]  |
| 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.Jilin Univ, China Japan Union Hosp, Dept Gastrointestinal & Colorectal Surg, Jilin 130033, Jilin, Peoples R China; 2.Shanghai Jiao Tong Univ, Minist Educ China, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China; 3.Shanghai Jiao Tong Univ, Minist Educ China, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China; 4.Univ Ghent, Dept Elect & Informat Syst, IDLab, B-9000 Ghent, Belgium; 5.Chinese Acad Sci, Shanghai Inst Nutr & Hlth, Shanghai Inst Biol Sci, Shanghai 200031, Peoples R China; 6.Jilin Univ, China Japan Union Hosp, Dept Neurosurg, Jilin 130033, Jilin, Peoples R China, |
| 推荐引用方式 GB/T 7714 | Jiang, Yang,Pan, Xiaoyong,Zhang, Yu-Hang,et al. Gene Expression Difference Between Primary and Metastatic Renal Cell Carcinoma Using Patient-Derived Xenografts[J]. IEEE ACCESS,2019,7(-):142586-142594. |
| APA | Jiang, Yang,Pan, Xiaoyong,Zhang, Yu-Hang,Huang, Tao,Gao, Yufei,&,.(2019).Gene Expression Difference Between Primary and Metastatic Renal Cell Carcinoma Using Patient-Derived Xenografts.IEEE ACCESS,7(-),142586-142594. |
| MLA | Jiang, Yang,et al."Gene Expression Difference Between Primary and Metastatic Renal Cell Carcinoma Using Patient-Derived Xenografts".IEEE ACCESS 7.-(2019):142586-142594. |
入库方式： OAI收割
来源：上海营养与健康研究所
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