446 related articles for article (PubMed ID: 37457713)
1. Mitochondrial DNA methylation is a predictor of immunotherapy response and prognosis in breast cancer: scRNA-seq and bulk-seq data insights.
Ma Y; Du J; Chen M; Gao N; Wang S; Mi Z; Wei X; Zhao J
Front Immunol; 2023; 14():1219652. PubMed ID: 37457713
[TBL] [Abstract][Full Text] [Related]
2. Exploring the role of sphingolipid-related genes in clinical outcomes of breast cancer.
Pei S; Zhang P; Yang L; Kang Y; Chen H; Zhao S; Dai Y; Zheng M; Xia Y; Xie H
Front Immunol; 2023; 14():1116839. PubMed ID: 36860848
[TBL] [Abstract][Full Text] [Related]
3. Integrating single-cell RNA-seq and bulk RNA-seq to construct prognostic signatures to explore the role of glutamine metabolism in breast cancer.
Pei S; Zhang P; Chen H; Zhao S; Dai Y; Yang L; Kang Y; Zheng M; Xia Y; Xie H
Front Endocrinol (Lausanne); 2023; 14():1135297. PubMed ID: 36843602
[TBL] [Abstract][Full Text] [Related]
4. Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model.
Tan Z; Chen X; Zuo J; Fu S; Wang H; Wang J
J Transl Med; 2023 Mar; 21(1):223. PubMed ID: 36973787
[TBL] [Abstract][Full Text] [Related]
5. Oncogenic signaling pathway-related long non-coding RNAs for predicting prognosis and immunotherapy response in breast cancer.
Li H; Liu H; Hao Q; Liu X; Yao Y; Cao M
Front Immunol; 2022; 13():891175. PubMed ID: 35990668
[TBL] [Abstract][Full Text] [Related]
6. Development and validation a prognostic model based on natural killer T cells marker genes for predicting prognosis and characterizing immune status in glioblastoma through integrated analysis of single-cell and bulk RNA sequencing.
Hu J; Xu L; Fu W; Sun Y; Wang N; Zhang J; Yang C; Zhang X; Zhou Y; Wang R; Zhang H; Mou R; Du X; Li X; Hu S; Xie R
Funct Integr Genomics; 2023 Aug; 23(3):286. PubMed ID: 37650991
[TBL] [Abstract][Full Text] [Related]
7. Establishment and validation of an aging-related risk signature associated with prognosis and tumor immune microenvironment in breast cancer.
Wang Z; Liu H; Gong Y; Cheng Y
Eur J Med Res; 2022 Dec; 27(1):317. PubMed ID: 36581948
[TBL] [Abstract][Full Text] [Related]
8. Comprehensive
Xu T; Xu W; Zheng Y; Li X; Cai H; Xu Z; Zou Q; Yu B
Front Immunol; 2022; 13():931906. PubMed ID: 35958598
[TBL] [Abstract][Full Text] [Related]
9. Based on scRNA-seq and bulk RNA-seq to establish tumor immune microenvironment-associated signature of skin melanoma and predict immunotherapy response.
Li S; Zhao J; Wang G; Yao Q; Leng Z; Liu Q; Jiang J; Wang W
Arch Dermatol Res; 2024 May; 316(6):262. PubMed ID: 38795156
[TBL] [Abstract][Full Text] [Related]
10. Development of a novel prognostic signature based on single-cell combined bulk RNA analysis in breast cancer.
Xiao Y; Hu G; Xie N; Yin L; Pan Y; Liu C; Lou S; Zhu C
J Gene Med; 2024 Feb; 26(2):e3673. PubMed ID: 38404059
[TBL] [Abstract][Full Text] [Related]
11. Comprehensive analysis of nicotinamide metabolism-related signature for predicting prognosis and immunotherapy response in breast cancer.
Cui H; Ren X; Dai L; Chang L; Liu D; Zhai Z; Kang H; Ma X
Front Immunol; 2023; 14():1145552. PubMed ID: 36969219
[TBL] [Abstract][Full Text] [Related]
12. Establishment of an ovarian cancer omentum metastasis-related prognostic model by integrated analysis of scRNA-seq and bulk RNA-seq.
Zhang D; Lu W; Cui S; Mei H; Wu X; Zhuo Z
J Ovarian Res; 2022 Nov; 15(1):123. PubMed ID: 36424614
[TBL] [Abstract][Full Text] [Related]
13. Integrating Single-Cell RNA-Seq and Bulk RNA-Seq Data to Explore the Key Role of Fatty Acid Metabolism in Breast Cancer.
Chen Y; Wu W; Jin C; Cui J; Diao Y; Wang R; Xu R; Yao Z; Li X
Int J Mol Sci; 2023 Aug; 24(17):. PubMed ID: 37686016
[TBL] [Abstract][Full Text] [Related]
14. Integrative transcriptional characterization of cell cycle checkpoint genes promotes clinical management and precision medicine in bladder carcinoma.
Shi WW; Guan JZ; Long YP; Song Q; Xiong Q; Qin BY; Ma ZQ; Hu Y; Yang B
Front Oncol; 2022; 12():915662. PubMed ID: 36033441
[TBL] [Abstract][Full Text] [Related]
15. A Novel Aging-Related Prognostic lncRNA Signature Correlated with Immune Cell Infiltration and Response to Immunotherapy in Breast Cancer.
Liu Z; Ren C; Cai J; Yin B; Yuan J; Ding R; Ming W; Sun Y; Li Y
Molecules; 2023 Apr; 28(8):. PubMed ID: 37110517
[TBL] [Abstract][Full Text] [Related]
16. T-cell exhaustion signatures characterize the immune landscape and predict HCC prognosis
Chi H; Zhao S; Yang J; Gao X; Peng G; Zhang J; Xie X; Song G; Xu K; Xia Z; Chen S; Zhao J
Front Immunol; 2023; 14():1137025. PubMed ID: 37006257
[TBL] [Abstract][Full Text] [Related]
17. scRNA-seq revealed high stemness epithelial malignant cell clusters and prognostic models of lung adenocarcinoma.
Lin G; Gao Z; Wu S; Zheng J; Guo X; Zheng X; Chen R
Sci Rep; 2024 Feb; 14(1):3709. PubMed ID: 38355636
[TBL] [Abstract][Full Text] [Related]
18. Integrated analysis of single-cell RNA-seq and bulk RNA-seq unravels T cell-related prognostic risk model and tumor immune microenvironment modulation in triple-negative breast cancer.
Guo S; Liu X; Zhang J; Huang Z; Ye P; Shi J; Stalin A; Wu C; Lu S; Zhang F; Gao Y; Jin Z; Tao X; Huang J; Zhai Y; Shi R; Guo F; Zhou W; Wu J
Comput Biol Med; 2023 Jul; 161():107066. PubMed ID: 37263064
[TBL] [Abstract][Full Text] [Related]
19. Construction and validation of a transient receptor potential-related long noncoding RNA signature for prognosis prediction in breast cancer patients.
Guo Q; Qiu P; Pan K; Chen J; Wang B; Lin J
Medicine (Baltimore); 2023 Nov; 102(46):e35978. PubMed ID: 37986367
[TBL] [Abstract][Full Text] [Related]
20. Exploring PANoptosis in breast cancer based on scRNA-seq and bulk-seq.
He P; Ma Y; Wu Y; Zhou Q; Du H
Front Endocrinol (Lausanne); 2023; 14():1164930. PubMed ID: 37455906
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
