279 related articles for article (PubMed ID: 31611952)
1. Identification of key biomarkers and potential molecular mechanisms in lung cancer by bioinformatics analysis.
Li Z; Sang M; Tian Z; Liu Z; Lv J; Zhang F; Shan B
Oncol Lett; 2019 Nov; 18(5):4429-4440. PubMed ID: 31611952
[TBL] [Abstract][Full Text] [Related]
2. Identification of hub genes associated with bladder cancer using bioinformatic analyses.
Zheng W; Zhao Y; Wang T; Zhao X; Tan Z
Transl Cancer Res; 2022 May; 11(5):1330-1343. PubMed ID: 35706790
[TBL] [Abstract][Full Text] [Related]
3. Identification of key genes and evaluation of clinical outcomes in lung squamous cell carcinoma using integrated bioinformatics analysis.
Shi Y; Li Y; Yan C; Su H; Ying K
Oncol Lett; 2019 Dec; 18(6):5859-5870. PubMed ID: 31788059
[TBL] [Abstract][Full Text] [Related]
4. Investigation of differentially-expressed microRNAs and genes in cervical cancer using an integrated bioinformatics analysis.
Xu Z; Zhou Y; Shi F; Cao Y; Dinh TLA; Wan J; Zhao M
Oncol Lett; 2017 Apr; 13(4):2784-2790. PubMed ID: 28454467
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Bioinformatics analysis identifies hub genes and pathways in nasopharyngeal carcinoma.
Liu K; Kang M; Zhou Z; Qin W; Wang R
Oncol Lett; 2019 Oct; 18(4):3637-3645. PubMed ID: 31516577
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics analysis reveals meaningful markers and outcome predictors in HBV-associated hepatocellular carcinoma.
Zhang L; Makamure J; Zhao D; Liu Y; Guo X; Zheng C; Liang B
Exp Ther Med; 2020 Jul; 20(1):427-435. PubMed ID: 32537007
[TBL] [Abstract][Full Text] [Related]
8. Identification of differentially expressed genes between primary lung cancer and lymph node metastasis via bioinformatic analysis.
Zhang N; Zhang SW
Oncol Lett; 2019 Oct; 18(4):3754-3768. PubMed ID: 31516588
[TBL] [Abstract][Full Text] [Related]
9. Hub genes and key pathways of non-small lung cancer identified using bioinformatics.
Tang Q; Zhang H; Kong M; Mao X; Cao X
Oncol Lett; 2018 Aug; 16(2):2344-2354. PubMed ID: 30008938
[TBL] [Abstract][Full Text] [Related]
10. Identification of key candidate genes for colorectal cancer by bioinformatics analysis.
Chen Z; Lin Y; Gao J; Lin S; Zheng Y; Liu Y; Chen SQ
Oncol Lett; 2019 Dec; 18(6):6583-6593. PubMed ID: 31788116
[TBL] [Abstract][Full Text] [Related]
11. Identification of Metastasis-Associated Biomarkers in Synovial Sarcoma Using Bioinformatics Analysis.
Song Y; Liu X; Wang F; Wang X; Cheng G; Peng C
Front Genet; 2020; 11():530892. PubMed ID: 33061942
[TBL] [Abstract][Full Text] [Related]
12. Exploration of estrogen receptor-associated hub genes and potential molecular mechanisms in non-smoking females with lung adenocarcinoma using integrated bioinformatics analysis.
Wang H; Zhang Z; Xu K; Wei S; Li L; Wang L
Oncol Lett; 2019 Nov; 18(5):4605-4612. PubMed ID: 31611968
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatics analysis of RNA sequencing data reveals multiple key genes in uterine corpus endometrial carcinoma.
Shen L; Liu M; Liu W; Cui J; Li C
Oncol Lett; 2018 Jan; 15(1):205-212. PubMed ID: 29387216
[TBL] [Abstract][Full Text] [Related]
14. Identification of early diagnostic biomarkers for breast cancer through bioinformatics analysis.
Yan S; Yue S
Medicine (Baltimore); 2023 Sep; 102(37):e35273. PubMed ID: 37713876
[TBL] [Abstract][Full Text] [Related]
15. Identification of key differentially expressed mRNAs and microRNAs in non-small cell lung cancer using bioinformatics analysis.
Wang W; Wang S; Pan L
Exp Ther Med; 2020 Oct; 20(4):3720-3732. PubMed ID: 32855723
[TBL] [Abstract][Full Text] [Related]
16. Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis.
Zou Z; Gan S; Liu S; Li R; Huang J
Oncol Lett; 2019 Jul; 18(1):916-926. PubMed ID: 31289570
[TBL] [Abstract][Full Text] [Related]
17. Identification of genes and pathways in esophageal adenocarcinoma using bioinformatics analysis.
He F; Ai B; Tian L
Biomed Rep; 2018 Oct; 9(4):305-312. PubMed ID: 30233782
[TBL] [Abstract][Full Text] [Related]
18. Identification of molecular target genes and key pathways in hepatocellular carcinoma by bioinformatics analysis.
Zhou L; Du Y; Kong L; Zhang X; Chen Q
Onco Targets Ther; 2018; 11():1861-1869. PubMed ID: 29670361
[TBL] [Abstract][Full Text] [Related]
19. High gene expression levels of VEGFA and CXCL8 in the peritumoral brain zone are associated with the recurrence of glioblastoma: A bioinformatics analysis.
Luo X; Xu S; Zhong Y; Tu T; Xu Y; Li X; Wang B; Yang F
Oncol Lett; 2019 Dec; 18(6):6171-6179. PubMed ID: 31788092
[TBL] [Abstract][Full Text] [Related]
20. Identification of differentially expressed protein-coding genes in lung adenocarcinomas.
Wang L; Li S; Wang Y; Tang Z; Liu C; Jiao W; Liu J
Exp Ther Med; 2020 Feb; 19(2):1103-1111. PubMed ID: 32010276
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]