159 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]
20. Integrated analyses identify potential prognostic markers for uveal melanoma.
Ni Y; Zhang Z; Chen G; Long W; Tong L; Zeng J
Exp Eye Res; 2019 Oct; 187():107780. PubMed ID: 31469983
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
