276 related articles for article (PubMed ID: 32180586)
21. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
22. Identification of Key Genes and Pathways in Tongue Squamous Cell Carcinoma Using Bioinformatics Analysis.
Zhang H; Liu J; Fu X; Yang A
Med Sci Monit; 2017 Dec; 23():5924-5932. PubMed ID: 29240723
[TBL] [Abstract][Full Text] [Related]
23. Bioinformatics analysis of fibroblasts exposed to TGF‑β at the early proliferation phase of wound repair.
Mi B; Liu G; Zhou W; Lv H; Zha K; Liu Y; Wu Q; Liu J
Mol Med Rep; 2017 Dec; 16(6):8146-8154. PubMed ID: 28983581
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Identification of key genes and pathways in pelvic organ prolapse based on gene expression profiling by bioinformatics analysis.
Zhou Q; Hong L; Wang J
Arch Gynecol Obstet; 2018 May; 297(5):1323-1332. PubMed ID: 29546564
[TBL] [Abstract][Full Text] [Related]
26. Identification of Potential Gene Network Associated with HCV-Related Hepatocellular Carcinoma Using Microarray Analysis.
Cheng Y; Ping J; Chen J
Pathol Oncol Res; 2018 Jul; 24(3):507-514. PubMed ID: 28669080
[TBL] [Abstract][Full Text] [Related]
27. Fifteen hub genes associated with progression and prognosis of clear cell renal cell carcinoma identified by coexpression analysis.
Wang Y; Chen L; Wang G; Cheng S; Qian K; Liu X; Wu CL; Xiao Y; Wang X
J Cell Physiol; 2019 Jul; 234(7):10225-10237. PubMed ID: 30417363
[TBL] [Abstract][Full Text] [Related]
28. Identification of key genes and pathways associated with classical Hodgkin lymphoma by bioinformatics analysis.
Kuang Z; Guo L; Li X
Mol Med Rep; 2017 Oct; 16(4):4685-4693. PubMed ID: 28791394
[TBL] [Abstract][Full Text] [Related]
29. Integrated Bioinformatics Analysis for Identification of the Hub Genes Linked with Prognosis of Ovarian Cancer Patients.
Li X; Wang Q; Wu Z; Zheng J; Ji L
Comput Math Methods Med; 2022; 2022():5113447. PubMed ID: 35047055
[TBL] [Abstract][Full Text] [Related]
30. Interferon regulatory factor 1 is an independent predictor of platinum resistance and survival in high-grade serous ovarian carcinoma.
Cohen S; Mosig R; Moshier E; Pereira E; Rahaman J; Prasad-Hayes M; Halpert R; Billaud JN; Dottino P; Martignetti JA
Gynecol Oncol; 2014 Sep; 134(3):591-8. PubMed ID: 24995581
[TBL] [Abstract][Full Text] [Related]
31. Identification of Hub genes with prognostic values in colorectal cancer by integrated bioinformatics analysis.
Li S; Li T; Shi YQ; Xu BJ; Deng YY; Sun XG
Cancer Biomark; 2024; 40(1):27-45. PubMed ID: 38393891
[TBL] [Abstract][Full Text] [Related]
32. Bioinformatics-Based Identification of Methylated-Differentially Expressed Genes and Related Pathways in Gastric Cancer.
Li H; Liu JW; Liu S; Yuan Y; Sun LP
Dig Dis Sci; 2017 Nov; 62(11):3029-3039. PubMed ID: 28914394
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Molecular profiling and clinical outcome of high-grade serous ovarian cancer presenting with low- versus high-volume ascites.
Feigenberg T; Clarke B; Virtanen C; Plotkin A; Letarte M; Rosen B; Bernardini MQ; Kollara A; Brown TJ; Murphy KJ
Biomed Res Int; 2014; 2014():367103. PubMed ID: 24982872
[TBL] [Abstract][Full Text] [Related]
35. APOBEC3G Expression Correlates with T-Cell Infiltration and Improved Clinical Outcomes in High-grade Serous Ovarian Carcinoma.
Leonard B; Starrett GJ; Maurer MJ; Oberg AL; Van Bockstal M; Van Dorpe J; De Wever O; Helleman J; Sieuwerts AM; Berns EM; Martens JW; Anderson BD; Brown WL; Kalli KR; Kaufmann SH; Harris RS
Clin Cancer Res; 2016 Sep; 22(18):4746-55. PubMed ID: 27016308
[TBL] [Abstract][Full Text] [Related]
36. A novel defined programmed cell death related gene signature for predicting the prognosis of serous ovarian cancer.
Zhan F; Guo Y; He L
J Ovarian Res; 2024 Apr; 17(1):92. PubMed ID: 38685095
[TBL] [Abstract][Full Text] [Related]
37. Identification of prognosis-related hub genes of ovarian cancer through bioinformatics analyses and experimental verification.
Yu Z; Ouyang L
Medicine (Baltimore); 2022 Sep; 101(36):e30374. PubMed ID: 36086731
[TBL] [Abstract][Full Text] [Related]
38. Identification of differentially expressed genes using an annealing control primer system in stage III serous ovarian carcinoma.
Kim YS; Hwan JD; Bae S; Bae DH; Shick WA
BMC Cancer; 2010 Oct; 10():576. PubMed ID: 20969748
[TBL] [Abstract][Full Text] [Related]
39. Identification of Immune Infiltrating Cell-Related Biomarkers in Early Gastric Cancer Progression.
Ji C; Cai H; Jin X; Yin K; Zhao D; Feng Z; Liu L
Technol Cancer Res Treat; 2024; 23():15330338241262724. PubMed ID: 38860335
[TBL] [Abstract][Full Text] [Related]
40. A centrosome clustering protein, KIFC1, predicts aggressive disease course in serous ovarian adenocarcinomas.
Mittal K; Choi DH; Klimov S; Pawar S; Kaur R; Mitra AK; Gupta MV; Sams R; Cantuaria G; Rida PCG; Aneja R
J Ovarian Res; 2016 Mar; 9():17. PubMed ID: 26992853
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
