183 related articles for article (PubMed ID: 38280005)
1. Unraveling T cell exhaustion in the immune microenvironment of osteosarcoma via single-cell RNA transcriptome.
Cheng D; Zhang Z; Liu D; Mi Z; Tao W; Fu J; Fan H
Cancer Immunol Immunother; 2024 Jan; 73(2):35. PubMed ID: 38280005
[TBL] [Abstract][Full Text] [Related]
2. Single-cell RNA-seq reveals T cell exhaustion and immune response landscape in osteosarcoma.
Fan Q; Wang Y; Cheng J; Pan B; Zang X; Liu R; Deng Y
Front Immunol; 2024; 15():1362970. PubMed ID: 38629071
[TBL] [Abstract][Full Text] [Related]
3. Exploring the immune microenvironment of osteosarcoma through T cell exhaustion-associated gene expression: a study on prognosis prediction.
Zhu J; Yuan J; Arya S; Du Z; Liu X; Jia J
Front Immunol; 2023; 14():1265098. PubMed ID: 38169731
[TBL] [Abstract][Full Text] [Related]
4. Ferroptosis-related lncRNAs guiding osteosarcoma prognosis and immune microenvironment.
Yang M; Su Y; Xu K; Zheng H; Yuan Q; Cai Y; Aihaiti Y; Xu P
J Orthop Surg Res; 2023 Oct; 18(1):787. PubMed ID: 37858131
[TBL] [Abstract][Full Text] [Related]
5. Deciphering the heterogeneity and immunosuppressive function of regulatory T cells in osteosarcoma using single-cell RNA transcriptome.
Cheng D; Zhang Z; Mi Z; Tao W; Liu D; Fu J; Fan H
Comput Biol Med; 2023 Oct; 165():107417. PubMed ID: 37669584
[TBL] [Abstract][Full Text] [Related]
6. A novel signature to guide osteosarcoma prognosis and immune microenvironment: Cuproptosis-related lncRNA.
Yang M; Zheng H; Xu K; Yuan Q; Aihaiti Y; Cai Y; Xu P
Front Immunol; 2022; 13():919231. PubMed ID: 35967366
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Comprehensive analysis of prognostic tumor microenvironment-related genes in osteosarcoma patients.
Hu C; Liu C; Tian S; Wang Y; Shen R; Rao H; Li J; Yang X; Chen B; Ye L
BMC Cancer; 2020 Aug; 20(1):814. PubMed ID: 32854645
[TBL] [Abstract][Full Text] [Related]
9. Elucidating the role of T-cell exhaustion-related genes in colorectal cancer: a single-cell bioinformatics perspective.
Tu W; Tu Y; Tan C; Zhong H; Xu S; Wang J; Huang L; Cheng L; Li H
Funct Integr Genomics; 2023 Aug; 23(3):259. PubMed ID: 37528306
[TBL] [Abstract][Full Text] [Related]
10. T-cell exhaustion prediction algorithm in tumor microenvironment for evaluating prognostic stratification and immunotherapy effect of esophageal cancer.
Su X; Fu C; Liu F; Bian R; Jing P
Environ Toxicol; 2024 Feb; 39(2):592-611. PubMed ID: 37493251
[TBL] [Abstract][Full Text] [Related]
11. A novel immune cell signature for predicting osteosarcoma prognosis and guiding therapy.
Pan R; Pan F; Zeng Z; Lei S; Yang Y; Yang Y; Hu C; Chen H; Tian X
Front Immunol; 2022; 13():1017120. PubMed ID: 36189307
[TBL] [Abstract][Full Text] [Related]
12. A novel stratification framework based on anoikis-related genes for predicting the prognosis in patients with osteosarcoma.
Zhang X; Wen Z; Wang Q; Ren L; Zhao S
Front Immunol; 2023; 14():1199869. PubMed ID: 37575253
[TBL] [Abstract][Full Text] [Related]
13. A novel aging-associated lncRNA signature for predicting prognosis in osteosarcoma.
He Y; Huang X; Ma Y; Yang G; Cui Y; Lv X; Zhao R; Jin H; Tong Y; Zhang X; Li J; Peng M
Sci Rep; 2024 Jan; 14(1):1386. PubMed ID: 38228673
[TBL] [Abstract][Full Text] [Related]
14. Cuproptosis-related molecular subtypes direct T cell exhaustion phenotypes and therapeutic strategies for patients with lung adenocarcinoma.
Zhu YP; Deng HT; Wang X; Rahat MA; Sun S; Zhang QZ
Front Pharmacol; 2023; 14():1146468. PubMed ID: 37113755
[No Abstract] [Full Text] [Related]
15. Single-Cell Transcriptome Analysis Reveals RGS1 as a New Marker and Promoting Factor for T-Cell Exhaustion in Multiple Cancers.
Bai Y; Hu M; Chen Z; Wei J; Du H
Front Immunol; 2021; 12():767070. PubMed ID: 34956194
[TBL] [Abstract][Full Text] [Related]
16. Dissecting the effect of sphingolipid metabolism gene in progression and microenvironment of osteosarcoma to develop a prognostic signature.
Zhong Y; Zhang Y; Wei S; Chen J; Zhong C; Cai W; Jin W; Peng H
Front Endocrinol (Lausanne); 2022; 13():1030655. PubMed ID: 36313783
[TBL] [Abstract][Full Text] [Related]
17. Transcriptome and single-cell analysis reveal disulfidptosis-related modification patterns of tumor microenvironment and prognosis in osteosarcoma.
Wang L; Liu Y; Tai J; Dou X; Yang H; Li Q; Liu J; Yan Z; Liu X
Sci Rep; 2024 Apr; 14(1):9186. PubMed ID: 38649690
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Prioritizing exhausted TÂ cell marker genes highlights immune subtypes in pan-cancer.
Zhang C; Sheng Q; Zhang X; Xu K; Jin X; Zhou W; Zhang M; Lv D; Yang C; Li Y; Xu J; Li X
iScience; 2023 Apr; 26(4):106484. PubMed ID: 37091230
[TBL] [Abstract][Full Text] [Related]
20. Molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcoma.
Liu Z; Liu B; Feng C; Li C; Wang H; Zhang H; Liu P; Li Z; He S; Tu C
Front Immunol; 2022; 13():1071636. PubMed ID: 36569869
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]