154 related articles for article (PubMed ID: 34822110)
1. Identification of ITPR1 as a Hub Gene of Group 3 Medulloblastoma and Coregulated Genes with Potential Prognostic Values.
das Chagas PF; de Sousa GR; Veronez LC; Martins-da-Silva A; Corrêa CAP; Cruzeiro GAV; Nagano LFP; Queiroz RGP; Marie SKN; Brandalise SR; Scrideli CA; Tone LG; Valera ET
J Mol Neurosci; 2022 Mar; 72(3):633-641. PubMed ID: 34822110
[TBL] [Abstract][Full Text] [Related]
2. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
3. Identification of potential crucial genes and mechanisms associated with metastasis of medulloblastoma based on gene expression profile.
Wang G; Zhang Z; Tao M; Wei X; Zhou L
Neurol Res; 2023 Mar; 45(3):260-267. PubMed ID: 36215435
[TBL] [Abstract][Full Text] [Related]
4. Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.
Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X
Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076
[TBL] [Abstract][Full Text] [Related]
5. Identification of Potential Key Genes and Molecular Mechanisms of Medulloblastoma Based on Integrated Bioinformatics Approach.
Islam MR; Abdulrazak LF; Alam MK; Paul BK; Ahmed K; Bui FM; Moni MA
Biomed Res Int; 2022; 2022():1776082. PubMed ID: 35127939
[TBL] [Abstract][Full Text] [Related]
6. Identification of PBK as a hub gene and potential therapeutic target for medulloblastoma.
Deng Y; Wen H; Yang H; Zhu Z; Huang Q; Bi Y; Wang P; Zhou M; Guan J; Zhang W; Li M
Oncol Rep; 2022 Jul; 48(1):. PubMed ID: 35593307
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatic identification of candidate biomarkers and related transcription factors in nasopharyngeal carcinoma.
Ye Z; Wang F; Yan F; Wang L; Li B; Liu T; Hu F; Jiang M; Li W; Fu Z
World J Surg Oncol; 2019 Apr; 17(1):60. PubMed ID: 30935420
[TBL] [Abstract][Full Text] [Related]
8. Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.
Xu Y; Kong D; Li Z; Qian L; Li J; Zou C
PLoS One; 2021; 16(8):e0254868. PubMed ID: 34358255
[TBL] [Abstract][Full Text] [Related]
9. Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus-Related Hepatocellular Carcinoma via Integrated Bioinformatics Analysis.
Tang Y; Zhang Y; Hu X
Biomed Res Int; 2020; 2020():4251761. PubMed ID: 33376723
[TBL] [Abstract][Full Text] [Related]
10. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
Li D; Yin Y; He M; Wang J
Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
[TBL] [Abstract][Full Text] [Related]
11. Clinical Prognostic Implications of Wnt Hub Genes Expression in Medulloblastoma.
Martins-da-Silva A; Baroni M; Salomão KB; das Chagas PF; Bonfim-Silva R; Geron L; Cruzeiro GAV; da Silva WA; Corrêa CAP; Carlotti CG; de Paula Queiroz RG; Marie SKN; Brandalise SR; Yunes JA; Scrideli CA; Valera ET; Tone LG
Cell Mol Neurobiol; 2023 Mar; 43(2):813-826. PubMed ID: 35366170
[TBL] [Abstract][Full Text] [Related]
12. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.
Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H
BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311
[TBL] [Abstract][Full Text] [Related]
13. Musashi-1 regulates cell cycle and confers resistance to cisplatin treatment in Group 3/4 medulloblastomas cells.
Chagas PS; Veronez LC; de Sousa GR; Cruzeiro GAV; Corrêa CAP; Saggioro FP; de Paula Queiroz RG; Marie SKN; Brandalise SR; Cardinalli IA; Yunes JA; Júnior CGC; Machado HR; Santos MV; Scrideli CA; Tone LG; Valera ET
Hum Cell; 2023 Nov; 36(6):2129-2139. PubMed ID: 37460706
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
15. Screening and Identification of Key Biomarkers in Inflammatory Breast Cancer Through Integrated Bioinformatic Analyses.
Wu J; Lv Q; Huang H; Zhu M; Meng D
Genet Test Mol Biomarkers; 2020 Aug; 24(8):484-491. PubMed ID: 32598242
[No Abstract] [Full Text] [Related]
16. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
17. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
Yang Q; Li K; Li X; Liu J
Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
[No Abstract] [Full Text] [Related]
18. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
19. Identification of Hub Gene GRIN1 Correlated with Histological Grade and Prognosis of Glioma by Weighted Gene Coexpression Network Analysis.
Yang A; Wang X; Hu Y; Shang C; Hong Y
Biomed Res Int; 2021; 2021():4542995. PubMed ID: 34840971
[TBL] [Abstract][Full Text] [Related]
20. Estrogen receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in estrogen receptor-positive breast cancer: Evidence from a bioinformatic analysis.
Wu JR; Zhao Y; Zhou XP; Qin X
Biomed Pharmacother; 2020 Jan; 121():109647. PubMed ID: 31733575
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
