These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
138 related articles for article (PubMed ID: 39144363)
1. Bioinformatic analysis of differentially expressed genes in lung cancer bone metastasis and their implications for disease progression in lung cancer patients. Hong Q; Hu H; Liu D; Hu X; Wang Z; Zhou D J Thorac Dis; 2024 Jul; 16(7):4666-4677. PubMed ID: 39144363 [TBL] [Abstract][Full Text] [Related]
2. Bioinformatic prediction of miR-320a as a potential negative regulator of CDGSH iron-sulfur domain 2 ( Zhao X; Li L; Li Y; Liu Y; Wang H; Tabrizi NS; Ye Z; Zhao Z Transl Cancer Res; 2024 Aug; 13(8):4485-4499. PubMed ID: 39262456 [TBL] [Abstract][Full Text] [Related]
3. Identification of key genes as predictive biomarkers for osteosarcoma metastasis using translational bioinformatics. Ding FP; Tian JY; Wu J; Han DF; Zhao D Cancer Cell Int; 2021 Dec; 21(1):640. PubMed ID: 34856991 [TBL] [Abstract][Full Text] [Related]
4. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments. Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696 [TBL] [Abstract][Full Text] [Related]
5. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis. Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424 [TBL] [Abstract][Full Text] [Related]
6. Molecular mechanisms investigation for liver metastasis of colorectal cancer by combined bioinformatic gene expression profile analysis. Wu QQ; Wang XY; Wu WX; Chen YX; Wang J; Zhang X; Qian Y; Du SS; Sun J; Zeng ZC Cancer Treat Res Commun; 2023; 35():100694. PubMed ID: 36868002 [TBL] [Abstract][Full Text] [Related]
7. Prediction and analysis of novel key genes ITGAX, LAPTM5, SERPINE1 in clear cell renal cell carcinoma through bioinformatics analysis. Sui Y; Lu K; Fu L PeerJ; 2021; 9():e11272. PubMed ID: 33976979 [TBL] [Abstract][Full Text] [Related]
8. Expression of gasdermin D in clear cell renal cell carcinoma and its effect on its biological function. Zhang J; Wang Y; Ma J; Aimudula A Front Oncol; 2023; 13():1163714. PubMed ID: 37483501 [TBL] [Abstract][Full Text] [Related]
9. Identification of the potential ferroptosis key genes in lung cancer with bone metastasis. Zhou Q; Xu T; Li J; Tan J; Mao Q; Liu T; Wang L; Zhang M J Thorac Dis; 2023 May; 15(5):2708-2720. PubMed ID: 37324090 [TBL] [Abstract][Full Text] [Related]
10. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis. Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311 [TBL] [Abstract][Full Text] [Related]
11. Comprehensive analysis and identification of key genes and signaling pathways in the occurrence and metastasis of cutaneous melanoma. Dai H; Guo L; Lin M; Cheng Z; Li J; Tang J; Huan X; Huang Y; Xu K PeerJ; 2020; 8():e10265. PubMed ID: 33240619 [TBL] [Abstract][Full Text] [Related]
12. Eleven genes associated with progression and prognosis of endometrial cancer (EC) identified by comprehensive bioinformatics analysis. Liu J; Zhou S; Li S; Jiang Y; Wan Y; Ma X; Cheng W Cancer Cell Int; 2019; 19():136. PubMed ID: 31139013 [TBL] [Abstract][Full Text] [Related]
13. Identification and validation of key genes associated with non-small-cell lung cancer. Ma Q; Xu Y; Liao H; Cai Y; Xu L; Xiao D; Liu C; Pu W; Zhong X; Guo X J Cell Physiol; 2019 Dec; 234(12):22742-22752. PubMed ID: 31127628 [TBL] [Abstract][Full Text] [Related]
14. Identification of differentially expressed mRNAs as novel predictive biomarkers for gastric cancer diagnosis and prognosis. Zhou JW; Zhang YB; Huang ZY; Yuan YP; Jin J World J Gastrointest Oncol; 2024 May; 16(5):1947-1964. PubMed ID: 38764850 [TBL] [Abstract][Full Text] [Related]
15. Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis. Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076 [TBL] [Abstract][Full Text] [Related]
16. Identification of Potential Core Genes Associated With the Progression of Stomach Adenocarcinoma Using Bioinformatic Analysis. Yang B; Zhang M; Luo T Front Genet; 2020; 11():517362. PubMed ID: 33193601 [TBL] [Abstract][Full Text] [Related]
17. Construction of a prognostic score model for breast cancer based on multi-omics analysis of study on bone metastasis. Ren H; Shen X; Xie M; Guo X Transl Cancer Res; 2024 May; 13(5):2419-2436. PubMed ID: 38881940 [TBL] [Abstract][Full Text] [Related]
18. Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis. Deng JL; Xu YH; Wang G Front Genet; 2019; 10():695. PubMed ID: 31428132 [No Abstract] [Full Text] [Related]
19. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis. Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236 [TBL] [Abstract][Full Text] [Related]
20. Identification of key biomarkers and functional pathways in osteosarcomas with lung metastasis: Evidence from bioinformatics analysis. Liu D; Zhou R; Zhou A Medicine (Baltimore); 2021 Feb; 100(6):e24471. PubMed ID: 33578541 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]