150 related articles for article (PubMed ID: 38701255)
1. Role of CENPF and NDC80 in the rehabilitation nursing of hepatocellular carcinoma and cirrhosis: An observational study.
Jia W; Wu Q; Li R; Hou S; Kang C
Medicine (Baltimore); 2024 May; 103(18):e37984. PubMed ID: 38701255
[TBL] [Abstract][Full Text] [Related]
2. Identification of 5 Hub Genes Related to the Early Diagnosis, Tumour Stage, and Poor Outcomes of Hepatitis B Virus-Related Hepatocellular Carcinoma by Bioinformatics Analysis.
Qiang R; Zhao Z; Tang L; Wang Q; Wang Y; Huang Q
Comput Math Methods Med; 2021; 2021():9991255. PubMed ID: 34603487
[TBL] [Abstract][Full Text] [Related]
3. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
[TBL] [Abstract][Full Text] [Related]
4. Identification of Hepatocellular Carcinoma-Related Potential Genes and Pathways Through Bioinformatic-Based Analyses.
Wan Z; Zhang X; Luo Y; Zhao B
Genet Test Mol Biomarkers; 2019 Nov; 23(11):766-777. PubMed ID: 31633428
[No Abstract] [Full Text] [Related]
5. Identification of key genes and pathways in hepatocellular carcinoma: A preliminary bioinformatics analysis.
Wu M; Liu Z; Zhang A; Li N
Medicine (Baltimore); 2019 Feb; 98(5):e14287. PubMed ID: 30702595
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics analysis of gene expression profiles in hepatocellular carcinoma.
Shangguan H; Tan SY; Zhang JR
Eur Rev Med Pharmacol Sci; 2015; 19(11):2054-61. PubMed ID: 26125269
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics analysis of key genes and pathways for hepatocellular carcinoma transformed from cirrhosis.
He B; Yin J; Gong S; Gu J; Xiao J; Shi W; Ding W; He Y
Medicine (Baltimore); 2017 Jun; 96(25):e6938. PubMed ID: 28640074
[TBL] [Abstract][Full Text] [Related]
8. Screening and Functional Prediction of Key Candidate Genes in Hepatitis B Virus-Associated Hepatocellular Carcinoma.
Chen X; Liao L; Li Y; Huang H; Huang Q; Deng S
Biomed Res Int; 2020; 2020():7653506. PubMed ID: 33102593
[TBL] [Abstract][Full Text] [Related]
9. Association of abnormal NDUFB2 and UQCRH expression with venous thromboembolism in patients with liver cirrhosis.
Tan Y; Ma Y; Guo S; Lin Y
Medicine (Baltimore); 2024 Jan; 103(1):e36868. PubMed ID: 38181234
[TBL] [Abstract][Full Text] [Related]
10. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
11. Analysis of potential key genes in very early hepatocellular carcinoma.
Wu M; Liu Z; Li X; Zhang A; Lin D; Li N
World J Surg Oncol; 2019 May; 17(1):77. PubMed ID: 31043166
[TBL] [Abstract][Full Text] [Related]
12. Role of TOP2A and CDC6 in liver cancer.
Jia W; Liu X; Zhang Z
Medicine (Baltimore); 2023 Oct; 102(42):e35604. PubMed ID: 37861550
[TBL] [Abstract][Full Text] [Related]
13. Mining and exploration of rehabilitation nursing targets for colorectal cancer.
Li R; He J; Ni Z; Zhang J; Chi X; Kang C; Li Z; Li X
Aging (Albany NY); 2024 Apr; 16(8):7022-7042. PubMed ID: 38637125
[TBL] [Abstract][Full Text] [Related]
14. Integrative analysis of the molecular signature of target genes involved in the antitumor effects of cantharidin on hepatocellular carcinoma.
Yan J; Gao YM; Deng XL; Wang HS; Shi GT
BMC Cancer; 2023 Nov; 23(1):1161. PubMed ID: 38017425
[TBL] [Abstract][Full Text] [Related]
15. Bioinformatics-based screening of key genes for transformation of liver cirrhosis to hepatocellular carcinoma.
Jiang CH; Yuan X; Li JF; Xie YF; Zhang AZ; Wang XL; Yang L; Liu CX; Liang WH; Pang LJ; Zou H; Cui XB; Shen XH; Qi Y; Jiang JF; Gu WY; Li F; Hu JM
J Transl Med; 2020 Jan; 18(1):40. PubMed ID: 32000807
[TBL] [Abstract][Full Text] [Related]
16. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
17. Identification of 40S ribosomal protein S8 as a novel biomarker for alcohol‑associated hepatocellular carcinoma using weighted gene co‑expression network analysis.
Bi N; Sun Y; Lei S; Zeng Z; Zhang Y; Sun C; Yu C
Oncol Rep; 2020 Aug; 44(2):611-627. PubMed ID: 32627011
[TBL] [Abstract][Full Text] [Related]
18. [Bioinformatics analysis of core differentially expressed genes in hepatitis B virus-related hepatocellular carcinoma].
Yu Y; Cheng J; Mei CZ; Dai YZ
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2022 Nov; 34(5):507-513. PubMed ID: 36464255
[TBL] [Abstract][Full Text] [Related]
19. Bioinformatics analysis of key biomarkers and potential molecular mechanisms in hepatocellular carcinoma induced by hepatitis B virus.
Li Z; Xu J; Cui H; Song J; Chen J; Wei J
Medicine (Baltimore); 2020 May; 99(20):e20302. PubMed ID: 32443377
[TBL] [Abstract][Full Text] [Related]
20. Bioinformatics analysis reveals novel core genes associated with nonalcoholic fatty liver disease and nonalcoholic steatohepatitis.
Feng G; Li XP; Niu CY; Liu ML; Yan QQ; Fan LP; Li Y; Zhang KL; Gao J; Qian MR; He N; Mi M
Gene; 2020 Jun; 742():144549. PubMed ID: 32184169
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
