159 related articles for article (PubMed ID: 36325183)
1. Integrated Analysis of Multi-Omics Data to Establish a Hypoxia-Related Prognostic Model in Osteosarcoma.
Tong Y; Zhang X; Zhou Y
Evol Bioinform Online; 2022; 18():11769343221128537. PubMed ID: 36325183
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Identification and Development of a Novel 4-Gene Immune-Related Signature to Predict Osteosarcoma Prognosis.
Cao M; Zhang J; Xu H; Lin Z; Chang H; Wang Y; Huang X; Chen X; Wang H; Song Y
Front Mol Biosci; 2020; 7():608368. PubMed ID: 33425993
[TBL] [Abstract][Full Text] [Related]
4. Osteosarcoma subtypes based on platelet-related genes and tumor microenvironment characteristics.
Shu Y; Peng J; Feng Z; Hu K; Li T; Zhu P; Cheng T; Hao L
Front Oncol; 2022; 12():941724. PubMed ID: 36212395
[TBL] [Abstract][Full Text] [Related]
5. The immune cell infiltration-associated molecular subtypes and gene signature predict prognosis for osteosarcoma patients.
Liu B; Liu XY; Wang GP; Chen YX
Sci Rep; 2024 Mar; 14(1):5184. PubMed ID: 38431660
[TBL] [Abstract][Full Text] [Related]
6. Integration of single-cell RNA sequencing and bulk RNA sequencing to reveal an immunogenic cell death-related 5-gene panel as a prognostic model for osteosarcoma.
Yang J; Zhang J; Na S; Wang Z; Li H; Su Y; Ji L; Tang X; Yang J; Xu L
Front Immunol; 2022; 13():994034. PubMed ID: 36225939
[TBL] [Abstract][Full Text] [Related]
7. Identification of Hypoxia-Related Subtypes, Establishment of Prognostic Models, and Characteristics of Tumor Microenvironment Infiltration in Colon Cancer.
Wang C; Tang Y; Ma H; Wei S; Hu X; Zhao L; Wang G
Front Genet; 2022; 13():919389. PubMed ID: 35783281
[No Abstract] [Full Text] [Related]
8. Development of novel gene signatures for the risk stratification of prognosis and diagnostic prediction of osteosarcoma patients using bioinformatics analysis.
Li G; Huang B; Wu H; Zhang H
Transl Cancer Res; 2022 Jul; 11(7):2374-2387. PubMed ID: 35966307
[TBL] [Abstract][Full Text] [Related]
9. Identification of risk model based on glycolysis-related genes in the metastasis of osteosarcoma.
Huang W; Xiao Y; Wang H; Chen G; Li K
Front Endocrinol (Lausanne); 2022; 13():1047433. PubMed ID: 36387908
[TBL] [Abstract][Full Text] [Related]
10. Expression of immune-related genes as prognostic biomarkers for the assessment of osteosarcoma clinical outcomes.
Guo J; Li X; Shen S; Wu X
Sci Rep; 2021 Dec; 11(1):24123. PubMed ID: 34916564
[TBL] [Abstract][Full Text] [Related]
11. Analysis of Immune-Stromal Score-Based Gene Signature and Molecular Subtypes in Osteosarcoma: Implications for Prognosis and Tumor Immune Microenvironment.
Zheng D; Yang K; Chen X; Li Y; Chen Y
Front Genet; 2021; 12():699385. PubMed ID: 34630511
[No Abstract] [Full Text] [Related]
12. Apoptosis-related genes-based prognostic signature for osteosarcoma.
Yang F; Zhang Y
Aging (Albany NY); 2022 May; 14(9):3813-3825. PubMed ID: 35504036
[TBL] [Abstract][Full Text] [Related]
13. Establishment of an Autophagy-Related Clinical Prognosis Model for Predicting the Overall Survival of Osteosarcoma.
Li J; Tang X; Du Y; Dong J; Zhao Z; Hu H; Song T; Guo J; Wang Y; Xu T; Shao C; Sheng Y; Xi Y
Biomed Res Int; 2021; 2021():5428425. PubMed ID: 34604383
[TBL] [Abstract][Full Text] [Related]
14. A Novel Hypoxia-Related Gene Signature with Strong Predicting Ability in Non-Small-Cell Lung Cancer Identified by Comprehensive Profiling.
Yang H; Wang Z; Gong L; Huang G; Chen D; Li X; Du F; Lin J; Yang X
Int J Genomics; 2022; 2022():8594658. PubMed ID: 35634481
[TBL] [Abstract][Full Text] [Related]
15. The hexosamine biosynthesis pathway-related gene signature correlates with immune infiltration and predicts prognosis of patients with osteosarcoma.
Su Z; Wang C; Pan R; Li H; Chen J; Tan J; Tian X; Lin T; Shen J
Front Immunol; 2022; 13():1028263. PubMed ID: 36275679
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Construction of a hypoxic immune microenvironment associated gene-based model for prognosis prediction of lung adenocarcinoma.
Lin GY; Wu S; Gao ZS; Wu LH; Yan JJ; Guo XQ; Wang ZY
Eur Rev Med Pharmacol Sci; 2022 Jun; 26(11):3807-3826. PubMed ID: 35731050
[TBL] [Abstract][Full Text] [Related]
18. EVI2B Is a Prognostic Biomarker and Is Correlated with Monocyte and Macrophage Infiltration in Osteosarcoma Based on an Integrative Analysis.
Dai Z; Liu Z; Yang R; Cao W; Ji T
Biomolecules; 2023 Feb; 13(2):. PubMed ID: 36830696
[TBL] [Abstract][Full Text] [Related]
19. Identifying a hypoxia related score to predict the prognosis of bladder cancer: a study with The Cancer Genome Atlas (TCGA) database.
Zhang Z; Li Q; Li A; Wang F; Li Z; Meng Y; Zhang Q
Transl Androl Urol; 2021 Dec; 10(12):4353-4364. PubMed ID: 35070817
[TBL] [Abstract][Full Text] [Related]
20. Development and Validation of a Hypoxia-Associated Prognostic Signature Related to Osteosarcoma Metastasis and Immune Infiltration.
Fu Y; Bao Q; Liu Z; He G; Wen J; Liu Q; Xu Y; Jin Z; Zhang W
Front Cell Dev Biol; 2021; 9():633607. PubMed ID: 33816483
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]