253 related articles for article (PubMed ID: 34422629)
1. Identification of Candidate Biomarkers and Prognostic Analysis in Colorectal Cancer Liver Metastases.
Zhang T; Yuan K; Wang Y; Xu M; Cai S; Chen C; Ma J
Front Oncol; 2021; 11():652354. PubMed ID: 34422629
[TBL] [Abstract][Full Text] [Related]
2. Identification and prognostic analysis of candidate biomarkers for lung metastasis in colorectal cancer.
Liu Y; Liu C; Huang D; Ge C; Chen L; Fu J; Du J
Medicine (Baltimore); 2024 Mar; 103(11):e37484. PubMed ID: 38489730
[TBL] [Abstract][Full Text] [Related]
3. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
4. Bioinformatic Identification of Hub Genes and Analysis of Prognostic Values in Colorectal Cancer.
Lei X; Jing J; Zhang M; Guan B; Dong Z; Wang C
Nutr Cancer; 2021; 73(11-12):2568-2578. PubMed ID: 33153324
[TBL] [Abstract][Full Text] [Related]
5. Differential analysis revealing APOC1 to be a diagnostic and prognostic marker for liver metastases of colorectal cancer.
Shen HY; Wei FZ; Liu Q
World J Clin Cases; 2021 Jun; 9(16):3880-3894. PubMed ID: 34141744
[TBL] [Abstract][Full Text] [Related]
6. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
[TBL] [Abstract][Full Text] [Related]
7. Identification of metastasis and prognosis-associated genes for serous ovarian cancer.
Yang Y; Qi S; Shi C; Han X; Yu J; Zhang L; Qin S; Gao Y
Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32510146
[TBL] [Abstract][Full Text] [Related]
8. Identification of hub genes associated with prognosis, diagnosis, immune infiltration and therapeutic drug in liver cancer by integrated analysis.
Lei X; Zhang M; Guan B; Chen Q; Dong Z; Wang C
Hum Genomics; 2021 Jun; 15(1):39. PubMed ID: 34187556
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Identification and Analysis of Potential Key Genes Associated With Hepatocellular Carcinoma Based on Integrated Bioinformatics Methods.
Li Z; Lin Y; Cheng B; Zhang Q; Cai Y
Front Genet; 2021; 12():571231. PubMed ID: 33767726
[TBL] [Abstract][Full Text] [Related]
11. Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysis.
Dai GP; Wang LP; Wen YQ; Ren XQ; Zuo SG
Oncol Lett; 2020 Jan; 19(1):388-398. PubMed ID: 31897151
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. The identification of a common different gene expression signature in patients with colorectal cancer.
Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
[TBL] [Abstract][Full Text] [Related]
14. [Screening core genes and cyclin B2 as a potential diagnosis, treatment and prognostic biomarker of hepatocellular carcinoma based on bioinformatics analysis].
Yang SY; Ren H; Li CF; Tang H
Zhonghua Gan Zang Bing Za Zhi; 2020 Sep; 28(9):773-783. PubMed ID: 33053978
[No Abstract] [Full Text] [Related]
15. Identification of four novel prognosis biomarkers and potential therapeutic drugs for human colorectal cancer by bioinformatics analysis.
Sun Z; Liu C; Cheng SY
J Biomed Res; 2020 Oct; 35(1):21-35. PubMed ID: 33361643
[TBL] [Abstract][Full Text] [Related]
16. Identification of potential biomarkers with colorectal cancer based on bioinformatics analysis and machine learning.
Hammad A; Elshaer M; Tang X
Math Biosci Eng; 2021 Oct; 18(6):8997-9015. PubMed ID: 34814332
[TBL] [Abstract][Full Text] [Related]
17. Development of novel predictive miRNA/target gene pathways for colorectal cancer distance metastasis to the liver using a bioinformatic approach.
Makondi PT; Wei PL; Huang CY; Chang YJ
PLoS One; 2019; 14(2):e0211968. PubMed ID: 30807603
[TBL] [Abstract][Full Text] [Related]
18. Computational analysis for identification of early diagnostic biomarkers and prognostic biomarkers of liver cancer based on GEO and TCGA databases and studies on pathways and biological functions affecting the survival time of liver cancer.
Gao S; Gang J; Yu M; Xin G; Tan H
BMC Cancer; 2021 Jul; 21(1):791. PubMed ID: 34238253
[TBL] [Abstract][Full Text] [Related]
19. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
20. Construction of a co-expression network and prediction of metastasis markers in colorectal cancer patients with liver metastasis.
Lin L; Zeng X; Liang S; Wang Y; Dai X; Sun Y; Wu Z
J Gastrointest Oncol; 2022 Oct; 13(5):2426-2438. PubMed ID: 36388701
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
