158 related articles for article (PubMed ID: 35117331)
1. Identifying four DNA methylation gene sites signature for predicting prognosis of osteosarcoma.
Zhang X; Zheng Y; Li G; Yu C; Ji T; Miao S
Transl Cancer Res; 2020 Nov; 9(11):7299-7309. PubMed ID: 35117331
[TBL] [Abstract][Full Text] [Related]
2. cg04448376, cg24387542, cg08548498, and cg14621323 as a Novel Signature to Predict Prognosis in Kidney Renal Papillary Cell Carcinoma.
Wang YL; Zhang YY
Biomed Res Int; 2020; 2020():4854390. PubMed ID: 33381555
[TBL] [Abstract][Full Text] [Related]
3. A DNA methylation-associated nomogram predicts the overall survival of osteosarcoma.
Shi J; Huang D; Zhang G; Zhao F; Yang L
Medicine (Baltimore); 2020 Dec; 99(51):e23772. PubMed ID: 33371144
[TBL] [Abstract][Full Text] [Related]
4. An aberrant DNA methylation signature for predicting the prognosis of head and neck squamous cell carcinoma.
Chen D; Wang M; Guo Y; Wu W; Ji X; Dou X; Tang H; Zong Z; Zhang X; Xiong D
Cancer Med; 2021 Sep; 10(17):5936-5947. PubMed ID: 34313009
[TBL] [Abstract][Full Text] [Related]
5. Identification of a methylomics-associated nomogram for predicting overall survival of stage I-II lung adenocarcinoma.
Wang H; Wei C; Pan P; Yuan F; Cheng J
Sci Rep; 2021 May; 11(1):9938. PubMed ID: 33976305
[TBL] [Abstract][Full Text] [Related]
6. Screening of Methylation Gene Sites as Prognostic Signature in Lung Adenocarcinoma.
Dong M; Yang Z; Li X; Zhang Z; Yin A
Yonsei Med J; 2020 Dec; 61(12):1013-1023. PubMed ID: 33251775
[TBL] [Abstract][Full Text] [Related]
7. A nomogram model based on the number of examined lymph nodes-related signature to predict prognosis and guide clinical therapy in gastric cancer.
Li H; Lin D; Yu Z; Li H; Zhao S; Hainisayimu T; Liu L; Wang K
Front Immunol; 2022; 13():947802. PubMed ID: 36405735
[TBL] [Abstract][Full Text] [Related]
8. A four-methylated LncRNA signature predicts survival of osteosarcoma patients based on machine learning.
Deng Y; Yuan W; Ren E; Wu Z; Zhang G; Xie Q
Genomics; 2021 Jan; 113(1 Pt 2):785-794. PubMed ID: 33069828
[TBL] [Abstract][Full Text] [Related]
9. An aberrant DNA methylation signature for predicting hepatocellular carcinoma.
Zhang R; Li Y; Yu H; Liu L; Zhu C; Zuo S; Chen Z
Ann Transl Med; 2020 Dec; 8(24):1667. PubMed ID: 33490179
[TBL] [Abstract][Full Text] [Related]
10. A Novel Prognosis Signature Based on Ferroptosis-Related Gene DNA Methylation Data for Lung Squamous Cell Carcinoma.
Wang X; Meng Y; Liu C; Yang H; Zhou S
J Oncol; 2022; 2022():9103259. PubMed ID: 36131791
[TBL] [Abstract][Full Text] [Related]
11. Identification of a novel CpG methylation signature to predict prognosis in lung squamous cell carcinoma.
Lee N; Xia X; Meng H; Zhu W; Wang X; Zhang T; Zhang C; Zhang J; Luo P
Cancer Biomark; 2021; 30(1):63-73. PubMed ID: 32924987
[TBL] [Abstract][Full Text] [Related]
12. Construction of a novel mRNA-signature prediction model for prognosis of bladder cancer based on a statistical analysis.
Li J; Cao J; Li P; Yao Z; Deng R; Ying L; Tian J
BMC Cancer; 2021 Jul; 21(1):858. PubMed ID: 34315402
[TBL] [Abstract][Full Text] [Related]
13. Construction of mRNA prognosis signature associated with differentially expressed genes in early stage of stomach adenocarcinomas based on TCGA and GEO datasets.
Jiang F; Lin H; Yan H; Sun X; Yang J; Dong M
Eur J Med Res; 2022 Oct; 27(1):205. PubMed ID: 36253873
[TBL] [Abstract][Full Text] [Related]
14. A 5-gene DNA methylation signature is a promising prognostic biomarker for early-stage cervical cancer.
Chen H; Li H; Wang L; Li Y; Yang C
J Obstet Gynaecol; 2022 Feb; 42(2):327-332. PubMed ID: 34082663
[TBL] [Abstract][Full Text] [Related]
15. Development of a novel prognostic signature for predicting the overall survival of bladder cancer patients.
Tang H; Kan L; Ou T; Chen D; Dou X; Wu W; Ji X; Wang M; Zong Z; Mo H; Zhang X; Xiong D
Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32441304
[TBL] [Abstract][Full Text] [Related]
16. A methylation-based nomogram for predicting survival in patients with lung adenocarcinoma.
Wang X; Zhou B; Xia Y; Zuo J; Liu Y; Bi X; Luo X; Zhang C
BMC Cancer; 2021 Jul; 21(1):801. PubMed ID: 34247575
[TBL] [Abstract][Full Text] [Related]
17. Identification and Validation of Ferroptosis-Related DNA Methylation Signature for Predicting the Prognosis and Guiding the Treatment in Cutaneous Melanoma.
Guo W; Wang X; Wang Y; Zhu S; Zhu R; Zhu L
Int J Mol Sci; 2022 Dec; 23(24):. PubMed ID: 36555319
[TBL] [Abstract][Full Text] [Related]
18. Establishment of an Autophagy-Related Clinical Prognosis Model for Predicting the Overall Survival of Osteosarcoma.
Li J; Tang X; Du Y; Dong J; Zhao Z; Hu H; Song T; Guo J; Wang Y; Xu T; Shao C; Sheng Y; Xi Y
Biomed Res Int; 2021; 2021():5428425. PubMed ID: 34604383
[TBL] [Abstract][Full Text] [Related]
19. Development of novel gene signatures for the risk stratification of prognosis and diagnostic prediction of osteosarcoma patients using bioinformatics analysis.
Li G; Huang B; Wu H; Zhang H
Transl Cancer Res; 2022 Jul; 11(7):2374-2387. PubMed ID: 35966307
[TBL] [Abstract][Full Text] [Related]
20. Identification of a three-gene expression signature and construction of a prognostic nomogram predicting overall survival in lung adenocarcinoma based on TCGA and GEO databases.
Zhou Y; Gao S; Yang R; Du C; Wang Y; Wu Y
Transl Lung Cancer Res; 2022 Jul; 11(7):1479-1496. PubMed ID: 35958325
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]