203 related articles for article (PubMed ID: 36052378)
1. Identification of Co-Expression Modules and Genes Associated With Tumor Progression in Oral Squamous Cell Carcinoma.
Fang Z; Wang F; Zhang M; Huang H; Lin Z
Pathol Oncol Res; 2022; 28():1610481. PubMed ID: 36052378
[TBL] [Abstract][Full Text] [Related]
2. Comprehensive analysis of biomarkers for prostate cancer based on weighted gene co-expression network analysis.
Chen X; Wang J; Peng X; Liu K; Zhang C; Zeng X; Lai Y
Medicine (Baltimore); 2020 Apr; 99(14):e19628. PubMed ID: 32243390
[TBL] [Abstract][Full Text] [Related]
3. Identification of biomarkers related to glycolysis with weighted gene co-expression network analysis in oral squamous cell carcinoma.
Zhou X; Xue D; Qiu J
Head Neck; 2022 Jan; 44(1):89-103. PubMed ID: 34713497
[TBL] [Abstract][Full Text] [Related]
4. Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Yang B; Dong K; Guo P; Guo P; Jie G; Zhang G; Li T
J Comput Biol; 2020 Jan; 27(1):40-54. PubMed ID: 31424263
[TBL] [Abstract][Full Text] [Related]
5. A Five-mRNA Expression Signature to Predict Survival in Oral Squamous Cell Carcinoma by Integrated Bioinformatic Analyses.
Guo H; Li C; Su X; Huang X
Genet Test Mol Biomarkers; 2021 Aug; 25(8):517-527. PubMed ID: 34406843
[No Abstract] [Full Text] [Related]
6. CXCL8, MMP12, and MMP13 are common biomarkers of periodontitis and oral squamous cell carcinoma.
Chen X; Lei H; Cheng Y; Fang S; Sun W; Zhang X; Jin Z
Oral Dis; 2024 Mar; 30(2):390-407. PubMed ID: 36321868
[TBL] [Abstract][Full Text] [Related]
7. Decreased CSTA expression promotes lymphatic metastasis and predicts poor survival in oral squamous cell carcinoma.
Wang Y; Wang L; Li X; Qu X; Han N; Ruan M; Zhang C
Arch Oral Biol; 2021 Jun; 126():105116. PubMed ID: 33831734
[TBL] [Abstract][Full Text] [Related]
8. Weighted Gene Co-Expression Network Analysis Identifies Hub Genes Associated with Occurrence and Prognosis of Oral Squamous Cell Carcinoma.
Ge Y; Li W; Ni Q; He Y; Chu J; Wei P
Med Sci Monit; 2019 Sep; 25():7272-7288. PubMed ID: 31562292
[TBL] [Abstract][Full Text] [Related]
9. Application of weighted gene co-expression network analysis to identify key modules and hub genes in oral squamous cell carcinoma tumorigenesis.
Zhang X; Feng H; Li Z; Li D; Liu S; Huang H; Li M
Onco Targets Ther; 2018; 11():6001-6021. PubMed ID: 30275705
[TBL] [Abstract][Full Text] [Related]
10. Identification and validation of key modules and hub genes associated with the pathological stage of oral squamous cell carcinoma by weighted gene co-expression network analysis.
Hu X; Sun G; Shi Z; Ni H; Jiang S
PeerJ; 2020; 8():e8505. PubMed ID: 32117620
[TBL] [Abstract][Full Text] [Related]
11. Poor Prognosis of Oral Squamous Cell Carcinoma Correlates With ITGA6.
Zhang C; Cai Q; Ke J
Int Dent J; 2023 Apr; 73(2):178-185. PubMed ID: 35820930
[TBL] [Abstract][Full Text] [Related]
12. Excavating novel diagnostic and prognostic long non-coding RNAs (lncRNAs) for head and neck squamous cell carcinoma: an integrated bioinformatics analysis of competing endogenous RNAs (ceRNAs) and gene co-expression networks.
Yang L; Lu P; Yang X; Li K; Chen X; Qu S
Bioengineered; 2021 Dec; 12(2):12821-12838. PubMed ID: 34898376
[TBL] [Abstract][Full Text] [Related]
13. Role of hyaluronan mediated motility receptor gene in oral squamous cell carcinoma and clinical prognosis.
Tang Y; Xiao Y; Liao R
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2021 Dec; 46(12):1315-1324. PubMed ID: 35232899
[TBL] [Abstract][Full Text] [Related]
14. Weighted gene co-expression network analysis reveals modules and hub genes associated with the development of breast cancer.
Qiu J; Du Z; Wang Y; Zhou Y; Zhang Y; Xie Y; Lv Q
Medicine (Baltimore); 2019 Feb; 98(6):e14345. PubMed ID: 30732163
[TBL] [Abstract][Full Text] [Related]
15. Identification of a Gene Prognostic Signature for Oral Squamous Cell Carcinoma by RNA Sequencing and Bioinformatics.
Zhang YY; Mao MH; Han ZX
Biomed Res Int; 2021; 2021():6657767. PubMed ID: 33869632
[TBL] [Abstract][Full Text] [Related]
16. Identification and validation of genes associated with copper death in oral squamous cell carcinoma based on machine learning and weighted gene co-expression network analysis.
Zhang M; Li Q; Zhang W; Yang Y; Gu J; Dong Q
J Stomatol Oral Maxillofac Surg; 2023 Dec; 124(6S):101561. PubMed ID: 37451513
[TBL] [Abstract][Full Text] [Related]
17. Identification of a six-gene prognostic signature for oral squamous cell carcinoma.
Wang J; Wang Y; Kong F; Han R; Song W; Chen D; Bu L; Wang S; Yue J; Ma L
J Cell Physiol; 2020 Mar; 235(3):3056-3068. PubMed ID: 31538341
[TBL] [Abstract][Full Text] [Related]
18. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Xu Z; Jiang P; He S
Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Network pharmacology and bioinformatics analysis on the underlying mechanisms of baicalein against oral squamous cell carcinoma.
Tang B; Dong Y
J Gene Med; 2023 Jun; 25(6):e3490. PubMed ID: 36843559
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]