22 related articles for article (PubMed ID: 38629071)
1. Exploring T-cell exhaustion features in Acute myocardial infarction for a Novel Diagnostic model and new therapeutic targets by bio-informatics and machine learning.
Jin N; Rong J; Chen X; Huang L; Ma H
BMC Cardiovasc Disord; 2024 May; 24(1):272. PubMed ID: 38783198
[TBL] [Abstract][Full Text] [Related]
2. Unveiling YWHAH: A potential therapeutic target for overcoming CD8
Li Q; Yuan Z; Wang Y; Zhai P; Wang J; Zhang C; Shao Z; Xing C
Int Immunopharmacol; 2024 May; 135():112317. PubMed ID: 38796965
[TBL] [Abstract][Full Text] [Related]
3. Investigation of cellular communication and signaling pathways in tumor microenvironment for high TP53-expressing osteosarcoma cells through single-cell RNA sequencing.
Xiong K; Fang Y; Qiu B; Chen C; Huang N; Liang F; Huang C; Lu T; Zheng L; Zhao J; Zhu B
Med Oncol; 2024 Mar; 41(5):93. PubMed ID: 38526643
[TBL] [Abstract][Full Text] [Related]
4. Mapping the Single-cell Differentiation Landscape of Osteosarcoma.
Truong DD; Weistuch C; Murgas KA; Admane P; King BL; Chauviere Lee J; Lamhamedi-Cherradi SE; Swaminathan J; Daw NC; Gordon N; Gopalakrishnan V; Gorlick RG; Somaiah N; Deasy JO; Mikos AG; Tannenbaum A; Ludwig J
Clin Cancer Res; 2024 May; ():. PubMed ID: 38775859
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
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. Importance of CD8 Tex cell-associated gene signatures in the prognosis and immunology of osteosarcoma.
Lu Y; Cao N; Zhao M; Zhang G; Zhang Q; Wang L
Sci Rep; 2024 Apr; 14(1):9769. PubMed ID: 38684858
[TBL] [Abstract][Full Text] [Related]
9. Characterization of the Tumor Microenvironment in Osteosarcoma Identifies Prognostic- and Immunotherapy-Relevant Gene Signatures.
Tan J; Feng X; Wu H; Yang B; Shi M; Xie C; Su Z; Li L; Luo M; Zuo Z; Zhu S; Yang J; Lin L
J Immunol Res; 2022; 2022():6568278. PubMed ID: 36065454
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. New insights into T-cell exhaustion in liver cancer: from mechanism to therapy.
Hao L; Li S; Hu X
J Cancer Res Clin Oncol; 2023 Oct; 149(13):12543-12560. PubMed ID: 37423958
[TBL] [Abstract][Full Text] [Related]
12. Signature constructed by glycolysis-immune-related genes can predict the prognosis of osteosarcoma patients.
Tian K; Qi W; Yan Q; Lv M; Song D
Invest New Drugs; 2022 Aug; 40(4):818-830. PubMed ID: 35435626
[TBL] [Abstract][Full Text] [Related]
13.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
14.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
15.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]