231 related articles for article (PubMed ID: 34172056)
1. In silico analysis of differentially expressed genesets in metastatic breast cancer identifies potential prognostic biomarkers.
Kim J
World J Surg Oncol; 2021 Jun; 19(1):188. PubMed ID: 34172056
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Identification of novel biomarkers in breast cancer via integrated bioinformatics analysis and experimental validation.
Wang N; Zhang H; Li D; Jiang C; Zhao H; Teng Y
Bioengineered; 2021 Dec; 12(2):12431-12446. PubMed ID: 34895070
[TBL] [Abstract][Full Text] [Related]
4. Identification and Integrate Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer Based on Bioinformatics Analysis.
Gong K; Zhou H; Liu H; Xie T; Luo Y; Guo H; Chen J; Tan Z; Yang Y; Xie L
Technol Cancer Res Treat; 2021; 20():15330338211060202. PubMed ID: 34825846
[No Abstract] [Full Text] [Related]
5. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
Fang E; Zhang X
Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
[TBL] [Abstract][Full Text] [Related]
6. Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis.
Yi L; Luo P; Zhang J
J Cell Biochem; 2019 Sep; 120(9):16229-16243. PubMed ID: 31081184
[TBL] [Abstract][Full Text] [Related]
7. Integrated bioinformatics analyses identifying potential biomarkers for type 2 diabetes mellitus and breast cancer: In SIK1-ness and health.
Durrani IA; Bhatti A; John P
PLoS One; 2023; 18(8):e0289839. PubMed ID: 37556419
[TBL] [Abstract][Full Text] [Related]
8. Identification, characterization, and prognosis investigation of pivotal genes shared in different stages of breast cancer.
Rommasi F
Sci Rep; 2023 May; 13(1):8447. PubMed ID: 37231064
[TBL] [Abstract][Full Text] [Related]
9. In silico analysis of differentially expressed-aberrantly methylated genes in breast cancer for prognostic and therapeutic targets.
Gadwal A; Purohit P; Khokhar M; Vishnoi JR; Pareek P; Choudhary R; Elhence P; Banerjee M; Sharma P
Clin Exp Med; 2023 Nov; 23(7):3847-3866. PubMed ID: 37029310
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico.
Cai Y; Mei J; Xiao Z; Xu B; Jiang X; Zhang Y; Zhu Y
Hereditas; 2019; 156():20. PubMed ID: 31285741
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. Identification of core genes and potential molecular mechanisms in breast cancer using bioinformatics analysis.
Liu F; Wu Y; Mi Y; Gu L; Sang M; Geng C
Pathol Res Pract; 2019 Jul; 215(7):152436. PubMed ID: 31076281
[TBL] [Abstract][Full Text] [Related]
16. Analysis of the autophagy gene expression profile of pancreatic cancer based on autophagy-related protein microtubule-associated protein 1A/1B-light chain 3.
Yang YH; Zhang YX; Gui Y; Liu JB; Sun JJ; Fan H
World J Gastroenterol; 2019 May; 25(17):2086-2098. PubMed ID: 31114135
[TBL] [Abstract][Full Text] [Related]
17. Identification of Potential Breast Cancer Stem Cell Biomarkers in the Secretome Using a Network Interaction Approach Analysis.
Margaret AL; Wanandi SI; Fadilah F; Paramita RI
Asian Pac J Cancer Prev; 2024 May; 25(5):1803-1813. PubMed ID: 38809653
[TBL] [Abstract][Full Text] [Related]
18. Identification of hub genes to regulate breast cancer metastasis to brain by bioinformatics analyses.
Tang D; Zhao X; Zhang L; Wang Z; Wang C
J Cell Biochem; 2019 Jun; 120(6):9522-9531. PubMed ID: 30506958
[TBL] [Abstract][Full Text] [Related]
19. Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma.
Zhang H; Zhong J; Tu Y; Liu B; Chen Z; Luo Y; Tang Y; Xiao F; Zhong J
Biomed Res Int; 2019; 2019():2615921. PubMed ID: 31950035
[TBL] [Abstract][Full Text] [Related]
20. Identification of a five genes prognosis signature for triple-negative breast cancer using multi-omics methods and bioinformatics analysis.
Ma J; Chen C; Liu S; Ji J; Wu D; Huang P; Wei D; Fan Z; Ren L
Cancer Gene Ther; 2022 Nov; 29(11):1578-1589. PubMed ID: 35474355
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
