111 related articles for article (PubMed ID: 38453655)
1. Bioinformatics identification of characteristic genes of cervical cancer via an artificial neural network.
Liu L; Huang L; Deng L; Li F; Vannucci J; Tang S; Wang Y
Chin Clin Oncol; 2024 Feb; 13(1):4. PubMed ID: 38453655
[TBL] [Abstract][Full Text] [Related]
2. Five candidate biomarkers associated with the diagnosis and prognosis of cervical cancer.
Han HY; Mou JT; Jiang WP; Zhai XM; Deng K
Biosci Rep; 2021 Mar; 41(3):. PubMed ID: 33616161
[TBL] [Abstract][Full Text] [Related]
3. A ceRNA network of BBOX1-AS1-hsa-miR-125b-5p/hsa-miR-125a-5p-CDKN2A shows prognostic value in cervical cancer.
Wang T; Zhang XD; Hua KQ
Taiwan J Obstet Gynecol; 2021 Mar; 60(2):253-261. PubMed ID: 33678324
[TBL] [Abstract][Full Text] [Related]
4. Identification of key biomarkers and related immune cell infiltration in cervical cancer tissue based on bioinformatics analysis.
Zhu G; Xiong Z; Chen W; Zhu Z; Wang W
Sci Rep; 2023 Jun; 13(1):10121. PubMed ID: 37344577
[TBL] [Abstract][Full Text] [Related]
5. Interactive bioinformatics analysis for the screening of hub genes and molecular docking of phytochemicals present in kitchen spices to inhibit CDK1 in cervical cancer.
Vaghasia H; Sakaria S; Prajapati J; Saraf M; Rawal RM
Comput Biol Med; 2022 Oct; 149():105994. PubMed ID: 36103746
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics and cheminformatics approaches to identify pathways, molecular mechanisms and drug substances related to genetic basis of cervical cancer.
Andalib KMS; Rahman MH; Habib A
J Biomol Struct Dyn; 2023; 41(23):14232-14247. PubMed ID: 36852684
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Identification of Core Prognosis-Related Candidate Genes in Cervical Cancer via Integrated Bioinformatical Analysis.
Wei J; Wang Y; Shi K; Wang Y
Biomed Res Int; 2020; 2020():8959210. PubMed ID: 32258155
[TBL] [Abstract][Full Text] [Related]
9. Comprehensive analysis of lncRNA-mRNA co-expression networks in HPV-driven cervical cancer reveals the pivotal function of LINC00511-PGK1 in tumorigenesis.
Xin X; Jia-Yin Y; Jun-Yang H; Rui W; Xiong-Ri K; Long-Rui D; Liu J; Jue-Yu Z
Comput Biol Med; 2023 Jun; 159():106943. PubMed ID: 37099974
[TBL] [Abstract][Full Text] [Related]
10. A microRNA-Messenger RNA Regulatory Network and Its Prognostic Value in Cervical Cancer.
Liu J; Yang J; Gao F; Li S; Nie S; Meng H; Sun R; Wan Y; Jiang Y; Ma X; Cheng W
DNA Cell Biol; 2020 Jul; 39(7):1328-1346. PubMed ID: 32456463
[TBL] [Abstract][Full Text] [Related]
11. Exploring a novel seven-gene marker and mitochondrial gene TMEM38A for predicting cervical cancer radiotherapy sensitivity using machine learning algorithms.
Wang J; Mou X; Lu H; Jiang H; Xian Y; Wei X; Huang Z; Tang S; Cen H; Dong M; Liang Y; Shi G
Front Endocrinol (Lausanne); 2023; 14():1302074. PubMed ID: 38327905
[TBL] [Abstract][Full Text] [Related]
12. Identification of miRNA-mRNA Regulatory Network and Construction of Prognostic Signature in Cervical Cancer.
Mei Y; Jiang P; Shen N; Fu S; Zhang J
DNA Cell Biol; 2020 Jun; 39(6):1023-1040. PubMed ID: 32349536
[TBL] [Abstract][Full Text] [Related]
13. Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation Studies.
Xue H; Sun Z; Wu W; Du D; Liao S
Cancer Manag Res; 2021; 13():117-131. PubMed ID: 33447084
[TBL] [Abstract][Full Text] [Related]
14. Identification of
Zang Y; Zhao R; Wang T; Gao Y; Chen L; Liu S; Wang Y; Xue F
Mol Med Rep; 2023 Jun; 27(6):. PubMed ID: 37114556
[TBL] [Abstract][Full Text] [Related]
15. Co-expression network analysis identified atypical chemokine receptor 1 (ACKR1) association with lymph node metastasis and prognosis in cervical cancer.
Liu J; Li S; Lin L; Jiang Y; Wan Y; Zhou S; Cheng W
Cancer Biomark; 2020; 27(2):213-223. PubMed ID: 32083574
[TBL] [Abstract][Full Text] [Related]
16. SNX10 and PTGDS are associated with the progression and prognosis of cervical squamous cell carcinoma.
Jiang P; Cao Y; Gao F; Sun W; Liu J; Ma Z; Xie M; Fu S
BMC Cancer; 2021 Jun; 21(1):694. PubMed ID: 34116656
[TBL] [Abstract][Full Text] [Related]
17. Identification of potential crucial genes and key pathways shared in Inflammatory Bowel Disease and cervical cancer by machine learning and integrated bioinformatics.
Nguyen TB; Do DN; Nguyen-Thi ML; Hoang-The H; Tran TT; Nguyen-Thanh T
Comput Biol Med; 2022 Oct; 149():105996. PubMed ID: 36049413
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer.
Chen H; Wang X; Jia H; Tao Y; Zhou H; Wang M; Wang X; Fang X
Onco Targets Ther; 2020; 13():13275-13283. PubMed ID: 33402836
[TBL] [Abstract][Full Text] [Related]
19. A cellular senescence-related genes model allows for prognosis and treatment stratification of cervical cancer: a bioinformatics analysis and external verification.
Yang W; An L; Li Y; Qian S
Aging (Albany NY); 2023 Sep; 15(18):9408-9425. PubMed ID: 37768206
[TBL] [Abstract][Full Text] [Related]
20. PCNA in Cervical Intraepithelial Neoplasia and Cervical Cancer: An Interaction Network Analysis of Differentially Expressed Genes.
Giannos P; Kechagias KS; Bowden S; Tabassum N; Paraskevaidi M; Kyrgiou M
Front Oncol; 2021; 11():779042. PubMed ID: 34900731
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
