61 related articles for article (PubMed ID: 38297250)
1. Fanconi Anemia Complementary Group A (FANCA) Facilitates the Occurrence and Progression of Liver Hepatocellular Carcinoma.
Huang FD; Zhong YP; Sun GY; Xu QJ; Xing ZY; Chen KH; Liao LS; Dong MY
Dig Dis Sci; 2024 Mar; 69(3):1035-1054. PubMed ID: 38282187
[TBL] [Abstract][Full Text] [Related]
2. Multi-omic profiling reveals potential biomarkers of hepatocellular carcinoma prognosis and therapy response among mitochondria-associated cell death genes in the context of 3P medicine.
Hu D; Shen X; Gao P; Mao T; Chen Y; Li X; Shen W; Zhuang Y; Ding J
EPMA J; 2024 Jun; 15(2):321-343. PubMed ID: 38841626
[TBL] [Abstract][Full Text] [Related]
3. The comprehensive roles of lncRNA FAM99A/FAM99B in hepatocellular carcinoma: Expressions, regulatory mechanisms and functional pathway analysis.
Jin H; Li Y; Qin S; Li Q; Mao Y; Zhao L
Life Sci; 2024 Jul; 349():122710. PubMed ID: 38740325
[TBL] [Abstract][Full Text] [Related]
4. A prognostic model for Schistosoma japonicum infection-associated liver hepatocellular carcinoma: strengthening the connection through initial biological experiments.
Sheng S; Chen B; Xu R; Han Y; Mao D; Chen Y; Li C; Su W; Hu X; Zhao Q; Lowe S; Huang Y; Shao W; Yao Y
Infect Agent Cancer; 2024 Mar; 19(1):10. PubMed ID: 38515119
[TBL] [Abstract][Full Text] [Related]
5. From prediction to prevention: Machine learning revolutionizes hepatocellular carcinoma recurrence monitoring.
Ramírez-Mejía MM; Méndez-Sánchez N
World J Gastroenterol; 2024 Feb; 30(7):631-635. PubMed ID: 38515945
[TBL] [Abstract][Full Text] [Related]
6. Study of prognostic splicing factors in cancer using machine learning approaches.
Yang M; Liu J; Kim P; Zhou X
Hum Mol Genet; 2024 Mar; ():. PubMed ID: 38538560
[TBL] [Abstract][Full Text] [Related]
7. Unlocking the future: machine learning sheds light on prognostication for early-stage hepatocellular carcinoma.
Dai J; Lai JC; Wong GL; Yip TC
Clin Mol Hepatol; 2024 May; ():. PubMed ID: 38711303
[No Abstract] [Full Text] [Related]
8. Reply to Unlocking the future: machine learning sheds light on prognostication for early-stage hepatocellular carcinoma.
Ho CT; Tan EC; Su CW
Clin Mol Hepatol; 2024 May; ():. PubMed ID: 38768962
[No Abstract] [Full Text] [Related]
9. 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]
10. Integrative analysis unveils ECM signatures and pathways driving hepatocellular carcinoma progression: A multi-omics approach and prognostic model development.
Liu Z; Zhao P
J Cell Mol Med; 2024 Apr; 28(8):e18230. PubMed ID: 38568083
[TBL] [Abstract][Full Text] [Related]
11. ANXA10 is a prognostic biomarker and suppressor of hepatocellular carcinoma: a bioinformatics analysis and experimental validation.
Zhang C; Peng L; Gu H; Wang J; Wang Y; Xu Z
Sci Rep; 2023 Jan; 13(1):1583. PubMed ID: 36709331
[TBL] [Abstract][Full Text] [Related]
12. Analysis of clinical significance and molecular characteristics of methionine metabolism and macrophage-related patterns in hepatocellular carcinoma based on machine learning.
Wen D; Wang S; Yu J; Yu T; Liu Z; Li Y
Cancer Biomark; 2024; 39(1):37-48. PubMed ID: 37522195
[TBL] [Abstract][Full Text] [Related]
13. G6PD and machine learning algorithms as prognostic and diagnostic indicators of liver hepatocellular carcinoma.
Li F; Wang B; Li H; Kong L; Zhu B
BMC Cancer; 2024 Jan; 24(1):157. PubMed ID: 38297250
[TBL] [Abstract][Full Text] [Related]
14. PDCL3 is a prognostic biomarker associated with immune infiltration in hepatocellular carcinoma.
Jin W; Wang G; Dong M; Wang X
Eur J Med Res; 2024 Mar; 29(1):177. PubMed ID: 38494503
[TBL] [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]
