These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
162 related articles for article (PubMed ID: 35634444)
1. Comprehensive Analysis of DNA Methylation and Transcriptome to Identify PD-1-Negative Prognostic Methylated Signature in Endometrial Carcinoma. Cao L; Ma X; Rong P; Zhang J; Yang M; Wang W Dis Markers; 2022; 2022():3085289. PubMed ID: 35634444 [TBL] [Abstract][Full Text] [Related]
2. Identification of methylation-driven genes prognosis signature and immune microenvironment in uterus corpus endometrial cancer. Liu J; Ji C; Wang Y; Zhang C; Zhu H Cancer Cell Int; 2021 Jul; 21(1):365. PubMed ID: 34246261 [TBL] [Abstract][Full Text] [Related]
3. Establishment and validation of a prognostic nomogram based on a novel five-DNA methylation signature for survival in endometrial cancer patients. Li X; Yin F; Fan Y; Cheng Y; Dong Y; Zhou J; Wang Z; Li X; Wang J Cancer Med; 2021 Jan; 10(2):693-708. PubMed ID: 33350104 [TBL] [Abstract][Full Text] [Related]
4. Identification of DNA methylation associated gene signatures in endometrial cancer via integrated analysis of DNA methylation and gene expression systematically. Men C; Chai H; Song X; Li Y; Du H; Ren Q J Gynecol Oncol; 2017 Nov; 28(6):e83. PubMed ID: 29027401 [TBL] [Abstract][Full Text] [Related]
5. A gene signature driven by abnormally methylated DEGs was developed for TP53 wild-type ovarian cancer samples by integrative omics analysis of DNA methylation and gene expression data. Zhou Z; Jin H; Xu J Ann Transl Med; 2023 Jan; 11(1):20. PubMed ID: 36760264 [TBL] [Abstract][Full Text] [Related]
6. A 14-Methylation-Driven Differentially Expressed RNA as a Signature for Overall Survival Prediction in Patients with Uterine Corpus Endometrial Carcinoma. Zeng Z; Cheng J; Ye Q; Zhang Y; Shen X; Cai J; Li M DNA Cell Biol; 2020 Jun; 39(6):975-991. PubMed ID: 32397815 [TBL] [Abstract][Full Text] [Related]
7. Identification of aberrantly methylated differentially expressed genes and associated pathways in endometrial cancer using integrated bioinformatic analysis. Liu J; Wan Y; Li S; Qiu H; Jiang Y; Ma X; Zhou S; Cheng W Cancer Med; 2020 May; 9(10):3522-3536. PubMed ID: 32170852 [TBL] [Abstract][Full Text] [Related]
8. Establishment of a nine-gene prognostic model for predicting overall survival of patients with endometrial carcinoma. Ying J; Wang Q; Xu T; Lyu J Cancer Med; 2018 Jun; 7(6):2601-2611. PubMed ID: 29665298 [TBL] [Abstract][Full Text] [Related]
9. An immune-related pseudogene signature to improve prognosis prediction of endometrial carcinoma patients. Tang S; Zhuge Y Biomed Eng Online; 2021 Jun; 20(1):64. PubMed ID: 34193185 [TBL] [Abstract][Full Text] [Related]
10. A ten-gene methylation signature as a novel biomarker for improving prediction of prognosis and indicating gene targets in endometrial cancer. Li X; Yang X; Fan Y; Cheng Y; Dong Y; Zhou J; Wang Z; Li X; Wang J Genomics; 2021 Jul; 113(4):2032-2044. PubMed ID: 33915245 [TBL] [Abstract][Full Text] [Related]
11. Protein-based prognostic signature for predicting the survival and immunotherapeutic efficiency of endometrial carcinoma. Lai J; Xu T; Yang H BMC Cancer; 2022 Mar; 22(1):325. PubMed ID: 35337291 [TBL] [Abstract][Full Text] [Related]
12. Establishing a Prognostic Signature Based on Epithelial-Mesenchymal Transition-Related Genes for Endometrial Cancer Patients. Liu J; Cui G; Shen S; Gao F; Zhu H; Xu Y Front Immunol; 2021; 12():805883. PubMed ID: 35095892 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. Identification of a metabolism-related gene expression prognostic model in endometrial carcinoma patients. Jiang P; Sun W; Shen N; Huang X; Fu S BMC Cancer; 2020 Sep; 20(1):864. PubMed ID: 32894095 [TBL] [Abstract][Full Text] [Related]
15. Prognostic evaluation of the novel blueprint of DNA methylation sites by integrating bulk RNA-sequencing and methylation modification data in endometrial cancer. Zhou H; Zhang Y; Jin J; Shen K; Yang Y; Lao P J Gene Med; 2024 Jan; 26(1):e3638. PubMed ID: 38011892 [TBL] [Abstract][Full Text] [Related]
16. A robust twelve-gene signature for prognosis prediction of hepatocellular carcinoma. Ouyang G; Yi B; Pan G; Chen X Cancer Cell Int; 2020; 20():207. PubMed ID: 32514252 [TBL] [Abstract][Full Text] [Related]
17. Establishment of prognostic risk model and drug sensitivity based on prognostic related genes of esophageal cancer. Dai J; Reyimu A; Sun A; Duoji Z; Zhou W; Liang S; Hu S; Dai W; Xu X Sci Rep; 2022 May; 12(1):8008. PubMed ID: 35568702 [TBL] [Abstract][Full Text] [Related]
18. Integrative Analysis of DNA Methylation and Gene Expression Identify a Three-Gene Signature for Predicting Prognosis in Lower-Grade Gliomas. Zeng WJ; Yang YL; Liu ZZ; Wen ZP; Chen YH; Hu XL; Cheng Q; Xiao J; Zhao J; Chen XP Cell Physiol Biochem; 2018; 47(1):428-439. PubMed ID: 29794476 [TBL] [Abstract][Full Text] [Related]
19. Development and Validation of a 5-Gene Autophagy-Based Prognostic Index in Endometrial Carcinoma. Chen X; Zhang W; Zhu H; Lin F Med Sci Monit; 2021 Feb; 27():e928949. PubMed ID: 33577492 [TBL] [Abstract][Full Text] [Related]
20. Development and Validation of a Prognostic Nomogram for Gastric Cancer Based on DNA Methylation-Driven Differentially Expressed Genes. Bai Y; Wei C; Zhong Y; Zhang Y; Long J; Huang S; Xie F; Tian Y; Wang X; Zhao H Int J Biol Sci; 2020; 16(7):1153-1165. PubMed ID: 32174791 [No Abstract] [Full Text] [Related] [Next] [New Search]