209 related articles for article (PubMed ID: 35918500)
1. Identification of the immune subtype of ovarian cancer patients by integrated analyses of transcriptome and single-cell sequencing data.
Wang S; Wang X; Xia X; Zhang T; Yi M; Li Z; Jiang L; Yang Y; Fu J; Fang X
Sci Rep; 2022 Aug; 12(1):13296. PubMed ID: 35918500
[TBL] [Abstract][Full Text] [Related]
2. Identification of an Autophagy-Related Signature for Prognosis and Immunotherapy Response Prediction in Ovarian Cancer.
Ding J; Wang C; Sun Y; Guo J; Liu S; Cheng Z
Biomolecules; 2023 Feb; 13(2):. PubMed ID: 36830707
[TBL] [Abstract][Full Text] [Related]
3. Identification of immune microenvironment subtypes that predicted the prognosis of patients with ovarian cancer.
Wang X; Li X; Wang X
J Cell Mol Med; 2021 Apr; 25(8):4053-4061. PubMed ID: 33675171
[TBL] [Abstract][Full Text] [Related]
4. Multi-omics analysis of tumor mutational burden combined with prognostic assessment in epithelial ovarian cancer based on TCGA database.
Liu J; Xu W; Li S; Sun R; Cheng W
Int J Med Sci; 2020; 17(18):3200-3213. PubMed ID: 33173439
[No Abstract] [Full Text] [Related]
5. Comprehensive Analyses Identify APOBEC3A as a Genomic Instability-Associated Immune Prognostic Biomarker in Ovarian Cancer.
Xu F; Liu T; Zhou Z; Zou C; Xu S
Front Immunol; 2021; 12():749369. PubMed ID: 34745121
[TBL] [Abstract][Full Text] [Related]
6. Heterogeneity of immune microenvironment in ovarian cancer and its clinical significance: a retrospective study.
Gao Y; Chen L; Cai G; Xiong X; Wu Y; Ma D; Li SC; Gao Q
Oncoimmunology; 2020; 9(1):1760067. PubMed ID: 32391193
[TBL] [Abstract][Full Text] [Related]
7. Systematic Construction and Validation of an Immune-Related Gene-Based Model to Predict Prognosis for Ovarian Cancer.
Fu Y; Sun H
Biomed Res Int; 2022; 2022():7356992. PubMed ID: 35496047
[TBL] [Abstract][Full Text] [Related]
8. Effects of Autophagy-Related Genes on the Prognosis and Immune Microenvironment of Ovarian Cancer.
Zhang J; Yan H; Fu Y
Biomed Res Int; 2022; 2022():6609195. PubMed ID: 35941978
[TBL] [Abstract][Full Text] [Related]
9. Single-cell transcriptomics identify TNFRSF1B as a novel T-cell exhaustion marker for ovarian cancer.
Gao Y; Shi H; Zhao H; Yao M; He Y; Jiang M; Li J; Li Z; Su S; Liu T; Yin C; Liao X; Yue W
Clin Transl Med; 2023 Sep; 13(9):e1416. PubMed ID: 37712139
[TBL] [Abstract][Full Text] [Related]
10. Identification and Validation of Immune-Related Gene for Predicting Prognosis and Therapeutic Response in Ovarian Cancer.
Zhang ZC; Guo JN; Zhang N; Wang ZQ; Lou G; Cui BB; Yang C
Front Immunol; 2021; 12():763791. PubMed ID: 34880862
[TBL] [Abstract][Full Text] [Related]
11. Construction of Metabolic Molecular Classification and Immune Characteristics for the Prognosis Prediction of Ovarian Cancer.
Wang K; He H; Feng X
J Immunol Res; 2022; 2022():2359349. PubMed ID: 35800989
[TBL] [Abstract][Full Text] [Related]
12. Identification of metabolism-associated molecular subtype in ovarian cancer.
Liu X; Wu A; Wang X; Liu Y; Xu Y; Liu G; Liu L
J Cell Mol Med; 2021 Oct; 25(20):9617-9626. PubMed ID: 34523782
[TBL] [Abstract][Full Text] [Related]
13. A novel tumor mutational burden-based risk model predicts prognosis and correlates with immune infiltration in ovarian cancer.
Wang H; Liu J; Yang J; Wang Z; Zhang Z; Peng J; Wang Y; Hong L
Front Immunol; 2022; 13():943389. PubMed ID: 36003381
[TBL] [Abstract][Full Text] [Related]
14. A novel DNA methylation-related gene signature for the prediction of overall survival and immune characteristics of ovarian cancer patients.
Wang S; Fu J; Fang X
J Ovarian Res; 2023 Mar; 16(1):62. PubMed ID: 36978087
[TBL] [Abstract][Full Text] [Related]
15. Deciphering the Prognostic Implications of the Components and Signatures in the Immune Microenvironment of Pancreatic Ductal Adenocarcinoma.
Tang R; Liu X; Liang C; Hua J; Xu J; Wang W; Meng Q; Liu J; Zhang B; Yu X; Shi S
Front Immunol; 2021; 12():648917. PubMed ID: 33777046
[No Abstract] [Full Text] [Related]
16. Identification and verification of a ten-gene signature predicting overall survival for ovarian cancer.
Liu J; Xu F; Cheng W; Gao L
Exp Cell Res; 2020 Oct; 395(2):112235. PubMed ID: 32805252
[TBL] [Abstract][Full Text] [Related]
17. Integrated analysis of tumor-associated macrophage infiltration and prognosis in ovarian cancer.
Tan Q; Liu H; Xu J; Mo Y; Dai F
Aging (Albany NY); 2021 Oct; 13(19):23210-23232. PubMed ID: 34633990
[TBL] [Abstract][Full Text] [Related]
18. Identification of the Immune Subtype of Hepatocellular Carcinoma for the Prediction of Disease-Free Survival Time and Prevention of Recurrence by Integrated Analysis of Bulk- and Single-Cell RNA Sequencing Data.
Fu J; Lei X
Front Immunol; 2022; 13():868325. PubMed ID: 35734185
[TBL] [Abstract][Full Text] [Related]
19. M2-like tumor-associated macrophages-secreted EGF promotes epithelial ovarian cancer metastasis via activating EGFR-ERK signaling and suppressing lncRNA LIMT expression.
Zeng XY; Xie H; Yuan J; Jiang XY; Yong JH; Zeng D; Dou YY; Xiao SS
Cancer Biol Ther; 2019; 20(7):956-966. PubMed ID: 31062668
[No Abstract] [Full Text] [Related]
20. Meta-analysis identifying epithelial-derived transcriptomes predicts poor clinical outcome and immune infiltrations in ovarian cancer.
Li DF; Tulahong A; Uddin MN; Zhao H; Zhang H
Math Biosci Eng; 2021 Jul; 18(5):6527-6551. PubMed ID: 34517544
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]