292 related articles for article (PubMed ID: 36589233)
1. Characterization of cellular senescence patterns predicts the prognosis and therapeutic response of hepatocellular carcinoma.
Tang Y; Guo C; Chen C; Zhang Y
Front Mol Biosci; 2022; 9():1100285. PubMed ID: 36589233
[No Abstract] [Full Text] [Related]
2. Novel Molecular Subtyping Scheme Based on In Silico Analysis of Cuproptosis Regulator Gene Patterns Optimizes Survival Prediction and Treatment of Hepatocellular Carcinoma.
Jiang H; Chen H; Wang Y; Qian Y
J Clin Med; 2023 Sep; 12(18):. PubMed ID: 37762710
[TBL] [Abstract][Full Text] [Related]
3. Constructing and validating of m7G-related genes prognostic signature for hepatocellular carcinoma and immune infiltration: potential biomarkers for predicting the overall survival.
Liu P; Dong C; Shi H; Yan Z; Zhang J; Liu J
J Gastrointest Oncol; 2022 Dec; 13(6):3169-3182. PubMed ID: 36636051
[TBL] [Abstract][Full Text] [Related]
4. Identifying a Hypoxia-Related Long Non-Coding RNAs Signature to Improve the Prediction of Prognosis and Immunotherapy Response in Hepatocellular Carcinoma.
Tang P; Qu W; Wang T; Liu M; Wu D; Tan L; Zhou H
Front Genet; 2021; 12():785185. PubMed ID: 34917132
[No Abstract] [Full Text] [Related]
5. A cellular senescence-related classifier based on a tumorigenesis- and immune infiltration-guided strategy can predict prognosis, immunotherapy response, and candidate drugs in hepatocellular carcinoma.
Luo Y; Liu H; Fu H; Ding GS; Teng F
Front Immunol; 2022; 13():974377. PubMed ID: 36458010
[TBL] [Abstract][Full Text] [Related]
6. Characterization of stemness features and construction of a stemness subtype classifier to predict survival and treatment responses in lung squamous cell carcinoma.
Lai J; Lin X; Zheng H; Xie B; Fu D
BMC Cancer; 2023 Jun; 23(1):525. PubMed ID: 37291533
[TBL] [Abstract][Full Text] [Related]
7. Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.
Xu Q; Xu H; Chen S; Huang W
Front Cell Dev Biol; 2021; 9():710207. PubMed ID: 34409040
[No Abstract] [Full Text] [Related]
8. Integrated Machine Learning and Bioinformatic Analyses Constructed a Novel Stemness-Related Classifier to Predict Prognosis and Immunotherapy Responses for Hepatocellular Carcinoma Patients.
Chen D; Liu J; Zang L; Xiao T; Zhang X; Li Z; Zhu H; Gao W; Yu X
Int J Biol Sci; 2022; 18(1):360-373. PubMed ID: 34975338
[TBL] [Abstract][Full Text] [Related]
9. Stemness analysis in hepatocellular carcinoma identifies an extracellular matrix gene-related signature associated with prognosis and therapy response.
Chen L; Zhang D; Zheng S; Li X; Gao P
Front Genet; 2022; 13():959834. PubMed ID: 36110210
[No Abstract] [Full Text] [Related]
10. A signature based on neutrophil extracellular trap-related genes for the assessment of prognosis, immunoinfiltration, mutation and therapeutic response in hepatocellular carcinoma.
Wang L; Wang Q; Li Y; Qi X; Fan X
J Gene Med; 2024 Jan; 26(1):e3588. PubMed ID: 37715643
[TBL] [Abstract][Full Text] [Related]
11. Establishment of a Necroptosis-Related Prognostic Signature to Reveal Immune Infiltration and Predict Drug Sensitivity in Hepatocellular Carcinoma.
Ren H; Zheng J; Cheng Q; Yang X; Fu Q
Front Genet; 2022; 13():900713. PubMed ID: 35957699
[No Abstract] [Full Text] [Related]
12. Identification of the Tumor Immune Microenvironment and Therapeutic Biomarkers by a Novel Molecular Subtype Based on Aging-Related Genes in Hepatocellular Carcinoma.
Cai D; Zhao Z; Hu J; Dai X; Zhong G; Gong J; Qi F
Front Surg; 2022; 9():836080. PubMed ID: 35392063
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Mitochondrial-Related Transcriptome Feature Correlates with Prognosis, Vascular Invasion, Tumor Microenvironment, and Treatment Response in Hepatocellular Carcinoma.
Wang Y; Song F; Zhang X; Yang C
Oxid Med Cell Longev; 2022; 2022():1592905. PubMed ID: 35535359
[TBL] [Abstract][Full Text] [Related]
15. Identification of a Liver Progenitor Cell-Related Genes Signature Predicting Overall Survival for Hepatocellular Carcinoma.
Li X; Lin J; Pan Y; Cui P; Xia J
Technol Cancer Res Treat; 2021; 20():15330338211041425. PubMed ID: 34866477
[No Abstract] [Full Text] [Related]
16. Identification and validation of a novel senescence-related biomarker for thyroid cancer to predict the prognosis and immunotherapy.
Hong K; Cen K; Chen Q; Dai Y; Mai Y; Guo Y
Front Immunol; 2023; 14():1128390. PubMed ID: 36761753
[TBL] [Abstract][Full Text] [Related]
17. An immune-related signature for optimizing prognosis prediction and treatment decision of hepatocellular carcinoma.
Yao N; Jiang W; Wang Y; Song Q; Cao X; Zheng W; Zhang J
Eur J Med Res; 2023 Mar; 28(1):123. PubMed ID: 36918943
[TBL] [Abstract][Full Text] [Related]
18. Cellular senescence throws new insights into patient classification and pharmacological interventions for clinical management of hepatocellular carcinoma.
Wang HH; Chen WL; Cui YY; Gong HH; Li H
World J Gastrointest Oncol; 2023 Sep; 15(9):1567-1594. PubMed ID: 37746655
[TBL] [Abstract][Full Text] [Related]
19. Ferroptosis-Related Hub Genes in Hepatocellular Carcinoma: Prognostic Signature, Immune-Related, and Drug Resistance Analysis.
Wang W; Pan F; Lin X; Yuan J; Tao C; Wang R
Front Genet; 2022; 13():907331. PubMed ID: 35938001
[No Abstract] [Full Text] [Related]
20. Identification and validation of a tyrosine metabolism-related prognostic prediction model and characterization of the tumor microenvironment infiltration in hepatocellular carcinoma.
Zhou Y; Li X; Long G; Tao Y; Zhou L; Tang J
Front Immunol; 2022; 13():994259. PubMed ID: 36341373
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]