Gene signature for prognosis in comparison of pancreatic cancer patients with diabetes and non-diabetes
文献类型：期刊论文
| 作者 | Yang, Mingjun1; Song, Boni1,4; Liu, Juxiang3; Bing, Zhitong2,4 ; Wang, Yonggang1; Yu, Linmiao1
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| 刊名 | PEERJ
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| 出版日期 | 2020-11-11 |
| 卷号 | 8页码:16 |
| 关键词 | PC Diabetes LASSO Cox regression Prognosis index Diabetes LASSO Cox regression Prognosis index |
| ISSN号 | 2167-8359 |
| DOI | 10.7717/peerj.10297 |
| 通讯作者 | Yang, Mingjun(yangmj@lut.cn) ; Song, Boni(lut8866@163.com) |
| 英文摘要 | Background. Pancreatic cancer (PC) has much weaker prognosis, which can be divided into diabetes and non-diabetes. PC patients with diabetes mellitus will have more opportunities for physical examination due to diabetes, while pancreatic cancer patients without diabetes tend to have higher risk. Identification of prognostic markers for diabetic and non-diabetic pancreatic cancer can improve the prognosis of patients with both types of pancreatic cancer. Methods. Both types of PC patients perform differently at the clinical and molecular levels. The Cancer Genome Atlas (TCGA) is employed in this study. The gene expression of the PC with diabetes and non-diabetes is used for predicting their prognosis by LASSO (Least Absolute Shrinkage and Selection Operator) Cox regression. Furthermore, the results are validated by exchanging gene biomarker with each other and verified by the independent Gene Expression Omnibus (GEO) and the International Cancer Genome Consortium (ICGC). The prognostic index (PI) is generated by a combination of genetic biomarkers that are used to rank the patient's risk ratio. Survival analysis is applied to test significant difference between high-risk group and low-risk group. Results. An integrated gene prognostic biomarker consisted by 14 low-risk genes and six high-risk genes in PC with non-diabetes. Meanwhile, and another integrated gene prognostic biomarker consisted by five low-risk genes and three high-risk genes in PC with diabetes. Therefore, the prognostic value of gene biomarker in PC with nondiabetes and diabetes are all greater than clinical traits (HR = 1.102, P-value < 0.0001; HR = 1.212, P-value < 0.0001). Gene signature in PC with non-diabetes was validated in two independent datasets. Conclusions. The conclusion of this study indicated that the prognostic value of genetic biomarkers in PCs with non-diabetes and diabetes. The gene signature was validated in two independent databases. Therefore, this study is expected to provide a novel gene biomarker for predicting prognosis of PC with non-diabetes and diabetes and improving clinical decision. |
| WOS关键词 | REGULARIZATION PATHS ; RISK-FACTOR ; EXPRESSION ; MODELS ; FOSL1 ; BETA |
| 资助项目 | National Natural Science Foundation of China[81660581] ; Natural Science Foundation of Gansu Province, China[1606RJZA016] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000588216400010 |
| 出版者 | PEERJ INC |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Gansu Province, China |
| 源URL | [http://119.78.100.186/handle/113462/139431]  |
| 专题 | 中国科学院近代物理研究所 |
| 通讯作者 | Yang, Mingjun; Song, Boni |
| 作者单位 | 1.Lanzhou Univ Technol, Sch Life Sci & Engn, Lanzhou, Gansu, Peoples R China 2.Lanzhou Univ, Evidence Based Med Ctr, Sch Basic Med Sci, Lanzhou, Peoples R China 3.Gansu Prov Peoples Hosp, Dept Endocrinol, Gansu Key Lab Endocrine & Metab, Lanzhou, Gansu, Peoples R China 4.Chinese Acad Sci, Inst Modern Phys, Lanzhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Mingjun,Song, Boni,Liu, Juxiang,et al. Gene signature for prognosis in comparison of pancreatic cancer patients with diabetes and non-diabetes[J]. PEERJ,2020,8:16. |
| APA | Yang, Mingjun,Song, Boni,Liu, Juxiang,Bing, Zhitong,Wang, Yonggang,&Yu, Linmiao.(2020).Gene signature for prognosis in comparison of pancreatic cancer patients with diabetes and non-diabetes.PEERJ,8,16. |
| MLA | Yang, Mingjun,et al."Gene signature for prognosis in comparison of pancreatic cancer patients with diabetes and non-diabetes".PEERJ 8(2020):16. |
入库方式： OAI收割
来源：近代物理研究所
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