Novel RNA-Affinity Proteogenomics Dissects Tumor Heterogeneity for Revealing Personalized Markers in Precision Prognosis of Cancer
文献类型：期刊论文
| 作者 | Wang, Li1,3,4; Wrobel, John A.1; Xie, Ling1; Li, DongXu1; Peng, Yibing1; Gunawardena, Harsha P.1; Chen, Xian1,2,3,4; Zurlo, Giada2; Zhang, Qing2; Shen, Huali3,4 |
| 刊名 | CELL CHEMICAL BIOLOGY
 |
| 出版日期 | 2018 |
| 卷号 | 25期号:5页码:619-+ |
| 关键词 | Metagenome Next-generation sequencing 16S rRNA Enterotype Genome-wide association study |
| ISSN号 | 2451-9448 |
| DOI | 10.1016/j.chembiol.2018.01.016 |
| 文献子类 | Article |
| 英文摘要 | To discriminate the patient subpopulations with different clinical outcomes within each breast cancer (BC) subtype, we introduce a robust, clinical-practical, activity-based proteogenomic method that identifies, in their oncogenically active states, candidate biomarker genes bearing patient-specific transcriptomic/genomic alterations of prognostic value. First, we used the intronic splicing enhancer (ISE) probes to sort ISE-interacting trans-acting protein factors (trans-interactome) directly from a tumor tissue for subsequent mass spectrometry characterization. In the retrospective, proteogenomic analysis of patient datasets, we identified those ISE trans-factor-encoding genes showing interaction-correlated expression patterns (iCEPs) as new BC-subtypic genes. Further, patient-specific co-alterations in mRNA expression of select iCEP genes distinguished high-risk patient subsets/subpopulations from other patients within a single BC subtype. Function analysis further validated a tumor-phenotypic trans-interactome contained the drivers of oncogenic splicing switches, representing the predominant tumor cells in a tissue, from which novel personalized biomarkers were clinically characterized/validated for precise prognostic prediction and subsequent individualized alignment of optimal therapy. |
| 学科主题 | Biochemistry & Molecular Biology |
| WOS关键词 | BREAST-CANCER ; PROTEIN ; SPLICEOSOME ; METASTASIS ; PROTEOMICS ; ESRP1 ; RISK ; LYAR |
| 语种 | 英语 |
| WOS记录号 | WOS:000432448700014 |
| 出版者 | CELL PRESS |
| 版本 | 出版稿 |
| 源URL | [http://202.127.25.144/handle/331004/702]  |
| 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.Univ North Carolina Chapel Hill, Dept Biochem & Biophys, Chapel Hill, NC 27599 USA; 2.Univ North Carolina Chapel Hill, Lineberger Comprehens Canc Ctr, Chapel Hill, NC 27599 USA; 3.Fudan Univ, Dept Chem, Shanghai 200032, Peoples R China; 4.Fudan Univ, Inst Biomed Sci, Shanghai 200032, Peoples R China; 5.Shanghai Inst Biol Sci, CAS MPG Partner Inst Computat Biol, CAS Ctr Excellence Mol Cell Sci, CAS Key Lab Computat Biol, Shanghai 200031, Peoples R China, |
| 推荐引用方式 GB/T 7714 | Wang, Li,Wrobel, John A.,Xie, Ling,et al. Novel RNA-Affinity Proteogenomics Dissects Tumor Heterogeneity for Revealing Personalized Markers in Precision Prognosis of Cancer[J]. CELL CHEMICAL BIOLOGY,2018,25(5):619-+. |
| APA | Wang, Li.,Wrobel, John A..,Xie, Ling.,Li, DongXu.,Peng, Yibing.,...&,.(2018).Novel RNA-Affinity Proteogenomics Dissects Tumor Heterogeneity for Revealing Personalized Markers in Precision Prognosis of Cancer.CELL CHEMICAL BIOLOGY,25(5),619-+. |
| MLA | Wang, Li,et al."Novel RNA-Affinity Proteogenomics Dissects Tumor Heterogeneity for Revealing Personalized Markers in Precision Prognosis of Cancer".CELL CHEMICAL BIOLOGY 25.5(2018):619-+. |
入库方式： OAI收割
来源：上海营养与健康研究所
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