Integrating radiosensitive genes improves prediction of radiosensitivity or radioresistance in patients with oesophageal cancer
文献类型:期刊论文
| 作者 | Yang, Yan3; Kong, Yarong4; Li, Yi4; Liu, Ruifeng3,4; Wang, Xiaohu3,4; Tian, Jinhui1,2; Bing, Zhitong1,2 ; Zhang, Qiuning3,4
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| 刊名 | ONCOLOGY LETTERS
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| 出版日期 | 2019-06-01 |
| 卷号 | 17期号:6页码:5377-5388 |
| 关键词 | oesophageal cancer radiosensitive gene signature prognosis clinical outcome prognostic index |
| ISSN号 | 1792-1074 |
| DOI | 10.3892/ol.2019.10240 |
| 通讯作者 | Wang, Xiaohu(xhwanggansu@163.com) |
| 英文摘要 | Oesophageal cancer is a serious disease worldwide. In China, the incidence of esophageal cancer was reported to be similar to 478,000 in 2015. In the same year, the incidence of esophageal cancer in the United States was similar to 16,910. Radiotherapy serves as an important tool in the treatment of oesophageal cancer, and although radiation therapy has progressed over time, the prognosis of the majority of patients with oesophageal cancer remains poor. Additionally, the sensitivity of patients with oesophageal cancer to radiotherapy and chemotherapy is not yet clear. Although there are a number of studies on the radiosensitivity of oesophageal cancer cell lines, the vastly different results from different cell lines make them unreliable to use as a guide in clinical practice. Therefore, a common radiosensitive gene signature may provide more reliable results, and using different combinations of common gene signatures to predict the outcome of patients with oesophageal cancer may generate a unique gene signature in oesophageal cancer. In the present study, the radiosensitive index and prognostic index were calculated to predict clinical outcomes. The prognostic index of a 41-gene signature combination is the largest combination of gene signatures used for classifying oesophageal cancer patients into radiosensitive (RS) and radioresistance (RR) groups, to the best of our knowledge, and this gene signature was more effective in patients classified as having Stage III oesophageal cancer. Furthermore, four genes (carbonyl reductase 1, serine/threonine kinase PAK2, ras-related protein Rab 13 and twinfilin-1) may be sufficient to classify patients into either RS or RR. Subsequent to gene enrichment analysis, the cell communication pathway was significantly different between RS and RR groups in oesophageal cancer. These results may provide useful insights in improving radiotherapy strategies in clinical decisions. |
| WOS关键词 | NASOPHARYNGEAL CARCINOMA ; H2AX PHOSPHORYLATION ; MOLECULAR SIGNATURE ; INDEX PREDICTS ; DNA-REPAIR ; CELL-LINES ; RADIATION ; EXPRESSION ; RADIOTHERAPY ; IDENTIFICATION |
| 资助项目 | Gansu Province Science Foundation[1606RJZA016] |
| WOS研究方向 | Oncology |
| 语种 | 英语 |
| WOS记录号 | WOS:000471330400077 |
| 出版者 | SPANDIDOS PUBL LTD |
| 资助机构 | Gansu Province Science Foundation |
| 源URL | [http://119.78.100.186/handle/113462/133142] ![]() |
| 专题 | 中国科学院近代物理研究所 |
| 通讯作者 | Wang, Xiaohu |
| 作者单位 | 1.Chinese Acad Sci, Inst Modern Phys, Dept Computat Phys, Lanzhou 730000, Gansu, Peoples R China 2.Lanzhou Univ, Sch Basic Med Sci, Evidence Based Med Ctr, Lanzhou 730050, Gansu, Peoples R China 3.Lanzhou Univ, Clin Med Coll 1, Gansu Prov Canc Hosp, Lanzhou, Gansu, Peoples R China 4.Lanzhou Univ, Clin Med Coll 1, Dept Radiat Oncol, 222 Tianshui Rd, Lanzhou 730000, Gansu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Yan,Kong, Yarong,Li, Yi,et al. Integrating radiosensitive genes improves prediction of radiosensitivity or radioresistance in patients with oesophageal cancer[J]. ONCOLOGY LETTERS,2019,17(6):5377-5388. |
| APA | Yang, Yan.,Kong, Yarong.,Li, Yi.,Liu, Ruifeng.,Wang, Xiaohu.,...&Zhang, Qiuning.(2019).Integrating radiosensitive genes improves prediction of radiosensitivity or radioresistance in patients with oesophageal cancer.ONCOLOGY LETTERS,17(6),5377-5388. |
| MLA | Yang, Yan,et al."Integrating radiosensitive genes improves prediction of radiosensitivity or radioresistance in patients with oesophageal cancer".ONCOLOGY LETTERS 17.6(2019):5377-5388. |
入库方式: OAI收割
来源:近代物理研究所
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