216 related articles for article (PubMed ID: 35765647)
1. mRNAsi-related genes can effectively distinguish hepatocellular carcinoma into new molecular subtypes.
Wang C; Qin S; Pan W; Shi X; Gao H; Jin P; Xia X; Ma F
Comput Struct Biotechnol J; 2022; 20():2928-2941. PubMed ID: 35765647
[TBL] [Abstract][Full Text] [Related]
2. Predictive value of a stemness-based classifier for prognosis and immunotherapy response of hepatocellular carcinoma based on bioinformatics and machine-learning strategies.
Chen E; Zou Z; Wang R; Liu J; Peng Z; Gan Z; Lin Z; Liu J
Front Immunol; 2024; 15():1244392. PubMed ID: 38694506
[TBL] [Abstract][Full Text] [Related]
3. The Tumor Stemness Indice mRNAsi can Act as Molecular Typing Tool for Lung Adenocarcinoma.
Yi Y; Liu X; Gao H; Qin S; Xu J; Ma F; Guan M
Biochem Genet; 2023 Dec; 61(6):2401-2424. PubMed ID: 37100923
[TBL] [Abstract][Full Text] [Related]
4. Implications of Stemness Features in 1059 Hepatocellular Carcinoma Patients from Five Cohorts: Prognosis, Treatment Response, and Identification of Potential Compounds.
Mai H; Xie H; Luo M; Hou J; Chen J; Hou J; Jiang DK
Cancers (Basel); 2022 Jan; 14(3):. PubMed ID: 35158838
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Analyzing mRNAsi-Related Genes Identifies Novel Prognostic Markers and Potential Drug Combination for Patients with Basal Breast Cancer.
Huang K; Wu Y; Xie Y; Huang L; Liu H
Dis Markers; 2021; 2021():4731349. PubMed ID: 34646403
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Stem cell index-based RiskScore model for predicting prognosis in thyroid cancer and experimental verification.
Chen R; Gao W; Liang L; Yu H; Song W
Heliyon; 2024 Jun; 10(11):e31970. PubMed ID: 38868069
[TBL] [Abstract][Full Text] [Related]
9. Identification of Biomarkers Associated with Hepatocellular Carcinoma Stem Cell Characteristics Based on Co-Expression Network Analysis of Transcriptome Data and Stemness Index.
Zhao Z; Mu H; Feng S; Liu Y; Zou J; Zhu Y
Crit Rev Eukaryot Gene Expr; 2022; 32(2):47-60. PubMed ID: 35381131
[TBL] [Abstract][Full Text] [Related]
10. Integrative stemness characteristics associated with prognosis and the immune microenvironment in esophageal cancer.
Yi L; Huang P; Zou X; Guo L; Gu Y; Wen C; Wu G
Pharmacol Res; 2020 Nov; 161():105144. PubMed ID: 32810627
[TBL] [Abstract][Full Text] [Related]
11. Exploring the role of tumor stemness and the potential of stemness-related risk model in the prognosis of intrahepatic cholangiocarcinoma.
Yue Y; Tao J; An D; Shi L
Front Genet; 2022; 13():1089405. PubMed ID: 36712866
[No Abstract] [Full Text] [Related]
12. Prognostic clinical phenotypes associated with tumor stemness in the immune microenvironment of T-cell exhaustion for hepatocellular carcinoma.
Zhang G
Discov Oncol; 2023 Nov; 14(1):203. PubMed ID: 37957420
[TBL] [Abstract][Full Text] [Related]
13. [Dysregulation of MAD2L1/CAMK2A/PTTG1 Gene Cluster Maintains the Stemness Characteristics of Uterine Corpus Endometrial Carcinoma].
Zheng J; Zhang YW; Pan ZF
Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2021 Oct; 43(5):685-695. PubMed ID: 34728029
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Cancer Stemness Associated With Prognosis and the Efficacy of Immunotherapy in Adrenocortical Carcinoma.
Shi X; Liu Y; Cheng S; Hu H; Zhang J; Wei M; Zhao L; Xin S
Front Oncol; 2021; 11():651622. PubMed ID: 34367952
[TBL] [Abstract][Full Text] [Related]
16. Integrated analysis revealing a novel stemness-metabolism-related gene signature for predicting prognosis and immunotherapy response in hepatocellular carcinoma.
Wang Y; Wan X; Du S
Front Immunol; 2023; 14():1100100. PubMed ID: 37622118
[TBL] [Abstract][Full Text] [Related]
17. Cancer Stemness-Based Prognostic Immune-Related Gene Signatures in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma.
Li N; Li Y; Zheng P; Zhan X
Front Endocrinol (Lausanne); 2021; 12():755805. PubMed ID: 34745015
[TBL] [Abstract][Full Text] [Related]
18. Construction of a novel mRNAsi-related risk model for predicting prognosis and immunotherapy response in osteosarcoma.
Li Z; Jin C; Lu X; Zhang Y; Zhang Y; Wen J; Liu Y; Liu X; Li J
Ann Transl Med; 2023 Jan; 11(2):61. PubMed ID: 36819514
[TBL] [Abstract][Full Text] [Related]
19. Identification and validation of a new gene signature predicting prognosis of hepatocellular carcinoma patients by network analysis of stemness indices.
Cai JL; Zhu GQ; Du JX; Wang B; Wan JL; Xiao K; Dai Z
Expert Rev Gastroenterol Hepatol; 2021 Jun; 15(6):699-709. PubMed ID: 33131341
[No Abstract] [Full Text] [Related]
20. The Identification of Three Key Genes Related to Stemness in Thyroid Carcinoma through Comprehensive Analysis.
Zhang T; Yan C; Ye Z; Yin X; Jiang TA
Comb Chem High Throughput Screen; 2021; 24(3):423-432. PubMed ID: 32767928
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]