202 related articles for article (PubMed ID: 38180104)
1. Clinical and therapeutical significances of the cluster and signature based on oxidative stress for osteosarcoma.
Ding M; Ran X; Qian S; Zhang Y; Wang Z; Dong M; Yang Z; Wu S; Feng X; Zhang J; Zhu L; Niu S; Zhang X
Aging (Albany NY); 2023 Dec; 15(24):15360-15381. PubMed ID: 38180104
[TBL] [Abstract][Full Text] [Related]
2. Comprehensive analysis of a glycolysis and cholesterol synthesis-related genes signature for predicting prognosis and immune landscape in osteosarcoma.
Xu F; Yan J; Peng Z; Liu J; Li Z
Front Immunol; 2022; 13():1096009. PubMed ID: 36618348
[TBL] [Abstract][Full Text] [Related]
3. A novel prognostic model related to oxidative stress for treatment prediction in lung adenocarcinoma.
Peng H; Li X; Luan Y; Wang C; Wang W
Front Oncol; 2023; 13():1078697. PubMed ID: 36798829
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification and verification of a BMPs-related gene signature for osteosarcoma prognosis prediction.
Xie L; Zeng J; He M
BMC Cancer; 2023 Feb; 23(1):181. PubMed ID: 36814224
[TBL] [Abstract][Full Text] [Related]
6. Construction of a 5-gene prognostic signature based on oxidative stress related genes for predicting prognosis in osteosarcoma.
Hong X; Fu R
PLoS One; 2023; 18(12):e0295364. PubMed ID: 38039294
[TBL] [Abstract][Full Text] [Related]
7. Identification and characterization of aging/senescence-induced genes in osteosarcoma and predicting clinical prognosis.
Lv Y; Wu L; Jian H; Zhang C; Lou Y; Kang Y; Hou M; Li Z; Li X; Sun B; Zhou H
Front Immunol; 2022; 13():997765. PubMed ID: 36275664
[TBL] [Abstract][Full Text] [Related]
8. Identification of an EMT-related gene-based prognostic signature in osteosarcoma.
Gong H; Tao Y; Xiao S; Li X; Fang K; Wen J; Zeng M; Liu Y; Chen Y
Cancer Med; 2023 Jun; 12(11):12912-12928. PubMed ID: 37102261
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of apoptosis-related signature and molecular subtype to improve prognosis prediction in osteosarcoma patients.
Hong J; Li Q; Wang X; Li J; Ding W; Hu H; He L
J Clin Lab Anal; 2022 Jul; 36(7):e24501. PubMed ID: 35576501
[TBL] [Abstract][Full Text] [Related]
10. Ferroptosis-related gene signature associates with immunity and predicts prognosis accurately in patients with osteosarcoma.
Lei T; Qian H; Lei P; Hu Y
Cancer Sci; 2021 Nov; 112(11):4785-4798. PubMed ID: 34506683
[TBL] [Abstract][Full Text] [Related]
11. Identification of a glycolysis- and lactate-related gene signature for predicting prognosis, immune microenvironment, and drug candidates in colon adenocarcinoma.
Liu C; Liu D; Wang F; Xie J; Liu Y; Wang H; Rong J; Xie J; Wang J; Zeng R; Zhou F; Peng J; Xie Y
Front Cell Dev Biol; 2022; 10():971992. PubMed ID: 36081904
[No Abstract] [Full Text] [Related]
12. A transient receptor potential channel-related model based on machine learning for evaluating tumor microenvironment and immunotherapeutic strategies in acute myeloid leukemia.
Hua J; Ding T; Shao Y
Front Immunol; 2022; 13():1040661. PubMed ID: 36591215
[TBL] [Abstract][Full Text] [Related]
13. The tumor immune microenvironment and immune-related signature predict the chemotherapy response in patients with osteosarcoma.
He L; Yang H; Huang J
BMC Cancer; 2021 May; 21(1):581. PubMed ID: 34016089
[TBL] [Abstract][Full Text] [Related]
14. Construction of an ER stress-related prognostic signature for predicting prognosis and screening the effective anti-tumor drug in osteosarcoma.
Chen W; Liao Y; Sun P; Tu J; Zou Y; Fang J; Chen Z; Li H; Chen J; Peng Y; Wen L; Xie X
J Transl Med; 2024 Jan; 22(1):66. PubMed ID: 38229155
[TBL] [Abstract][Full Text] [Related]
15. Exploring the NRF2-TP53 Signaling Network Through Machine Learning and Pan-Cancer Analysis: Identifying Potential targets for Cancer Prognosis Related to Oxidative Stress.
Cao Y; Fu A; Liu C
Adv Biol (Weinh); 2024 May; 8(5):e2300659. PubMed ID: 38519438
[TBL] [Abstract][Full Text] [Related]
16. Identification of a novel oxidative stress-related prognostic model in lung adenocarcinoma.
Zhu Y; Tang Q; Cao W; Zhou N; Jin X; Song Z; Zu L; Xu S
Front Pharmacol; 2022; 13():1030062. PubMed ID: 36467027
[No Abstract] [Full Text] [Related]
17. A risk score model based on endoplasmic reticulum stress related genes for predicting prognostic value of osteosarcoma.
Zhao Y; Gao J; Fan Y; Xu H; Wang Y; Yao P
BMC Musculoskelet Disord; 2023 Jun; 24(1):519. PubMed ID: 37353812
[TBL] [Abstract][Full Text] [Related]
18. N6-methyladenosine Modification-Related Long Non-Coding RNAs are Potential Biomarkers for Predicting the Prognosis of Patients With Osteosarcoma.
Yang K; Wang F; Li K; Peng G; Yang H; Xu H; Xiang Y; Sun H
Technol Cancer Res Treat; 2022; 21():15330338221085354. PubMed ID: 35422168
[No Abstract] [Full Text] [Related]
19. The role of SPI1-TYROBP-FCER1G network in oncogenesis and prognosis of osteosarcoma, and its association with immune infiltration.
Li J; Shi H; Yuan Z; Wu Z; Li H; Liu Y; Lu M; Lu M
BMC Cancer; 2022 Jan; 22(1):108. PubMed ID: 35078433
[TBL] [Abstract][Full Text] [Related]
20. A glycometabolic gene signature associating with immune infiltration and chemosensitivity and predicting the prognosis of patients with osteosarcoma.
Wang F; Yang K; Pan R; Xiang Y; Xiong Z; Li P; Li K; Sun H
Front Med (Lausanne); 2023; 10():1115759. PubMed ID: 37293295
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]