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.
156 related articles for article (PubMed ID: 35816294)
1. Integrated bioinformatics data analysis reveals a risk signature and PKD1 induced progression in endometrial cancer patients with postmenopausal status. Cheng Y; Zhang S; Qiang Y; Dong L; Li Y Aging (Albany NY); 2022 Jul; 14(13):5554-5570. PubMed ID: 35816294 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Significance of a PTEN Mutational Status-Associated Gene Signature in the Progression and Prognosis of Endometrial Carcinoma. Wu Y; Wang J; Ge L; Hu Q Oxid Med Cell Longev; 2022; 2022():5130648. PubMed ID: 35251475 [TBL] [Abstract][Full Text] [Related]
4. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis. Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. Identification of a Four-Gene Signature With Prognostic Significance in Endometrial Cancer Using Weighted-Gene Correlation Network Analysis. Huang S; Pang L; Wei C Front Genet; 2021; 12():678780. PubMed ID: 34616422 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Construction of a microenvironment immune gene model for predicting the prognosis of endometrial cancer. Wang Y; Zhang J; Zhou Y; Li Z; Lv D; Liu Q BMC Cancer; 2021 Nov; 21(1):1203. PubMed ID: 34763648 [TBL] [Abstract][Full Text] [Related]
9. Identification of an immune-related risk signature and nomogram predicting the overall survival in patients with endometrial cancer. Cheng Y; Li X; Dai Y; Dong Y; Yang X; Wang J J Gynecol Oncol; 2021 May; 32(3):e30. PubMed ID: 33559412 [TBL] [Abstract][Full Text] [Related]
10. Decreased PTGDS Expression Predicting Poor Survival of Endometrial Cancer by Integrating Weighted Gene Co-Expression Network Analysis and Immunohistochemical Validation. Zou R; Zheng M; Tan M; Xu H; Luan N; Zhu L Cancer Manag Res; 2020; 12():5057-5075. PubMed ID: 32617019 [TBL] [Abstract][Full Text] [Related]
11. Construction and Validation of a Prognostic Gene-Based Model for Overall Survival Prediction in Hepatocellular Carcinoma Using an Integrated Statistical and Bioinformatic Approach. Dessie EY; Tu SJ; Chiang HS; Tsai JJP; Chang YS; Chang JG; Ng KL Int J Mol Sci; 2021 Feb; 22(4):. PubMed ID: 33562824 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Eleven genes associated with progression and prognosis of endometrial cancer (EC) identified by comprehensive bioinformatics analysis. Liu J; Zhou S; Li S; Jiang Y; Wan Y; Ma X; Cheng W Cancer Cell Int; 2019; 19():136. PubMed ID: 31139013 [TBL] [Abstract][Full Text] [Related]
14. Using mRNAsi to identify prognostic-related genes in endometrial carcinoma based on WGCNA. Liu J; Wu Z; Sun R; Nie S; Meng H; Zhong Y; Nie X; Cheng W Life Sci; 2020 Oct; 258():118231. PubMed ID: 32791150 [TBL] [Abstract][Full Text] [Related]
15. Identification of a tumor microenvironment-related seven-gene signature for predicting prognosis in bladder cancer. Wang Z; Tu L; Chen M; Tong S BMC Cancer; 2021 Jun; 21(1):692. PubMed ID: 34112144 [TBL] [Abstract][Full Text] [Related]
16. An Integrated Autophagy-Related Long Noncoding RNA Signature as a Prognostic Biomarker for Human Endometrial Cancer: A Bioinformatics-Based Approach. Wang Z; Zhang J; Liu Y; Zhao R; Zhou X; Wang H Biomed Res Int; 2020; 2020():5717498. PubMed ID: 33381557 [TBL] [Abstract][Full Text] [Related]
17. Identification of Potential Crucial Genes Associated With the Pathogenesis and Prognosis of Endometrial Cancer. Liu L; Lin J; He H Front Genet; 2019; 10():373. PubMed ID: 31105744 [TBL] [Abstract][Full Text] [Related]
18. Overexpression of TICRR and PPIF confer poor prognosis in endometrial cancer identified by gene co-expression network analysis. Yang L; Cui Y; Sun X; Wang Y Aging (Albany NY); 2021 Jan; 13(3):4564-4589. PubMed ID: 33495413 [TBL] [Abstract][Full Text] [Related]
19. Identification of a 5‑microRNA signature and hub miRNA‑mRNA interactions associated with pancreatic cancer. Ma X; Tao R; Li L; Chen H; Liu Z; Bai J; Shuai X; Wu C; Tao K Oncol Rep; 2019 Jan; 41(1):292-300. PubMed ID: 30365134 [TBL] [Abstract][Full Text] [Related]