555 related articles for article (PubMed ID: 31173190)
1. Identification of key candidate genes involved in melanoma metastasis.
Chen J; Wu F; Shi Y; Yang D; Xu M; Lai Y; Liu Y
Mol Med Rep; 2019 Aug; 20(2):903-914. PubMed ID: 31173190
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.
Wang WJ; Li HT; Yu JP; Li YM; Han XP; Chen P; Yu WW; Chen WK; Jiao ZY; Liu HB
Mol Med Rep; 2018 Nov; 18(5):4499-4515. PubMed ID: 30221743
[TBL] [Abstract][Full Text] [Related]
4. Investigation of crucial genes and microRNAs in conventional osteosarcoma using gene expression profiling analysis.
Peng C; Yang Q; Wei B; Yuan B; Liu Y; Li Y; Gu D; Yin G; Wang B; Xu D; Zhang X; Kong D
Mol Med Rep; 2017 Nov; 16(5):7617-7624. PubMed ID: 28944822
[TBL] [Abstract][Full Text] [Related]
5. Identification of the interaction network of hub genes for melanoma treated with vemurafenib based on microarray data.
Quan L; Wang Y; Liang J; Shi J; Zhang Y; Tao K
Tumori; 2015; 101(4):368-74. PubMed ID: 25983087
[TBL] [Abstract][Full Text] [Related]
6. Identification of Core Genes and Pathways in Melanoma Metastasis via Bioinformatics Analysis.
Xie R; Li B; Jia L; Li Y
Int J Mol Sci; 2022 Jan; 23(2):. PubMed ID: 35054979
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics analysis of the CDK2 functions in neuroblastoma.
Bo L; Wei B; Wang Z; Kong D; Gao Z; Miao Z
Mol Med Rep; 2018 Mar; 17(3):3951-3959. PubMed ID: 29328425
[TBL] [Abstract][Full Text] [Related]
8. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
Wang Y; Zhang Y; Huang Q; Li C
Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
[TBL] [Abstract][Full Text] [Related]
9. Expression of miR‑542‑3p in osteosarcoma with miRNA microarray data, and its potential signaling pathways.
Li Z; Yao JN; Huang WT; He RQ; Ma J; Chen G; Wei QJ
Mol Med Rep; 2019 Feb; 19(2):974-983. PubMed ID: 30569116
[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. CENPE, PRC1, TTK, and PLK4 May Play Crucial Roles in the Osteosarcoma Progression.
Wang F; Zhao Q; Liu W; Kong D
Technol Cancer Res Treat; 2020; 19():1533033820973278. PubMed ID: 33176597
[TBL] [Abstract][Full Text] [Related]
12. Detailed Analysis of Molecular Mechanisms in Primary and Metastatic Melanoma.
Xu Y; Mu Y; Wang L; Zhang X
J Comput Biol; 2020 Jan; 27(1):9-19. PubMed ID: 31424282
[TBL] [Abstract][Full Text] [Related]
13. Identification of lung adenocarcinoma biomarkers based on bioinformatic analysis and human samples.
Dong S; Men W; Yang S; Xu S
Oncol Rep; 2020 May; 43(5):1437-1450. PubMed ID: 32323809
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Identification of potential therapeutic targets for melanoma using gene expression analysis.
Quan L; Shi J; Tian Y; Zhang Q; Zhang Y; Zhang Y; Hui Q; Tao K
Neoplasma; 2015; 62(5):733-9. PubMed ID: 26278148
[TBL] [Abstract][Full Text] [Related]
16. Transcriptomic analysis and identification of prognostic biomarkers in cholangiocarcinoma.
Li H; Long J; Xie F; Kang K; Shi Y; Xu W; Wu X; Lin J; Xu H; Du S; Xu Y; Zhao H; Zheng Y; Gu J
Oncol Rep; 2019 Nov; 42(5):1833-1842. PubMed ID: 31545466
[TBL] [Abstract][Full Text] [Related]
17. Gene expression profiling of epithelial ovarian cancer reveals key genes and pathways associated with chemotherapy resistance.
Zhang M; Luo SC
Genet Mol Res; 2016 Jan; 15(1):. PubMed ID: 26909918
[TBL] [Abstract][Full Text] [Related]
18. Identification of genes associated with melanoma metastasis.
Qiu T; Wang H; Wang Y; Zhang Y; Hui Q; Tao K
Kaohsiung J Med Sci; 2015 Nov; 31(11):553-61. PubMed ID: 26678934
[TBL] [Abstract][Full Text] [Related]
19. Identification of critical genes associated with human osteosarcoma metastasis based on integrated gene expression profiling.
Fan H; Lu S; Wang S; Zhang S
Mol Med Rep; 2019 Aug; 20(2):915-930. PubMed ID: 31173206
[TBL] [Abstract][Full Text] [Related]
20. A multigene support vector machine predictor for metastasis of cutaneous melanoma.
Wei D
Mol Med Rep; 2018 Feb; 17(2):2907-2914. PubMed ID: 29257259
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]