255 related articles for article (PubMed ID: 33572952)
1. The Importance of Sex in the Discovery of Colorectal Cancer Prognostic Biomarkers.
Hases L; Ibrahim A; Chen X; Liu Y; Hartman J; Williams C
Int J Mol Sci; 2021 Jan; 22(3):. PubMed ID: 33572952
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Identification of Genes Related to Clinicopathological Characteristics and Prognosis of Patients with Colorectal Cancer.
Gao X; Yang J
DNA Cell Biol; 2020 Apr; 39(4):690-699. PubMed ID: 32027181
[TBL] [Abstract][Full Text] [Related]
4. Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling.
Martinez-Romero J; Bueno-Fortes S; MartÃn-Merino M; Ramirez de Molina A; De Las Rivas J
BMC Genomics; 2018 Dec; 19(Suppl 8):857. PubMed ID: 30537927
[TBL] [Abstract][Full Text] [Related]
5. Using Machine Learning Methods to Study Colorectal Cancer Tumor Micro-Environment and Its Biomarkers.
Wei W; Li Y; Huang T
Int J Mol Sci; 2023 Jul; 24(13):. PubMed ID: 37446311
[TBL] [Abstract][Full Text] [Related]
6. Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer.
Hossain MJ; Chowdhury UN; Islam MB; Uddin S; Ahmed MB; Quinn JMW; Moni MA
Comput Biol Med; 2021 Aug; 135():104539. PubMed ID: 34153790
[TBL] [Abstract][Full Text] [Related]
7. A network-based predictive gene expression signature for recurrence risks in stage II colorectal cancer.
Yang WJ; Wang HB; Wang WD; Bai PY; Lu HX; Sun CH; Liu ZS; Guan DK; Yang GW; Zhang GL
Cancer Med; 2020 Jan; 9(1):179-193. PubMed ID: 31724326
[TBL] [Abstract][Full Text] [Related]
8. Development of a 15-gene signature for predicting prognosis in advanced colorectal cancer.
Wang X; Li T
Bioengineered; 2020 Dec; 11(1):165-174. PubMed ID: 32036725
[TBL] [Abstract][Full Text] [Related]
9. New trends in molecular and cellular biomarker discovery for colorectal cancer.
Aghagolzadeh P; Radpour R
World J Gastroenterol; 2016 Jul; 22(25):5678-93. PubMed ID: 27433083
[TBL] [Abstract][Full Text] [Related]
10. A five-immune-related genes-based prognostic signature for colorectal cancer.
Zhu L; Wang H; Wang Z
Int Immunopharmacol; 2020 Nov; 88():106866. PubMed ID: 32781411
[TBL] [Abstract][Full Text] [Related]
11. Exploring prognostic potential of long noncoding RNAs in colorectal cancer based on a competing endogenous RNA network.
Yang ZD; Kang H
World J Gastroenterol; 2020 Mar; 26(12):1298-1316. PubMed ID: 32256018
[TBL] [Abstract][Full Text] [Related]
12. Explore prognostic marker of colorectal cancer based on ceRNA network.
Ke MJ; Ji LD; Li YX
J Cell Biochem; 2019 Dec; 120(12):19358-19370. PubMed ID: 31490563
[TBL] [Abstract][Full Text] [Related]
13. Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer.
Liu X; Bing Z; Wu J; Zhang J; Zhou W; Ni M; Meng Z; Liu S; Tian J; Zhang X; Li Y; Jia S; Guo S
Med Sci Monit; 2020 Jan; 26():e918906. PubMed ID: 31893510
[TBL] [Abstract][Full Text] [Related]
14. Identification of a five-gene signature with prognostic value in colorectal cancer.
Sun G; Li Y; Peng Y; Lu D; Zhang F; Cui X; Zhang Q; Li Z
J Cell Physiol; 2019 Apr; 234(4):3829-3836. PubMed ID: 30132881
[TBL] [Abstract][Full Text] [Related]
15. High-Throughput Omics and Statistical Learning Integration for the Discovery and Validation of Novel Diagnostic Signatures in Colorectal Cancer.
Long NP; Park S; Anh NH; Nghi TD; Yoon SJ; Park JH; Lim J; Kwon SW
Int J Mol Sci; 2019 Jan; 20(2):. PubMed ID: 30642095
[TBL] [Abstract][Full Text] [Related]
16. Transcriptome analysis of CD133-positive stem cells and prognostic value of survivin in colorectal cancer.
Kim ST; Sohn I; DO IG; Jang J; Kim SH; Jung IH; Park JO; Park YS; Talasaz A; Lee J; Kim HC
Cancer Genomics Proteomics; 2014; 11(5):259-66. PubMed ID: 25331798
[TBL] [Abstract][Full Text] [Related]
17. Data mining combined with experiments to validate CEP55 as a prognostic biomarker in colorectal cancer.
Lin K; Zhu X; Luo C; Bu F; Zhu J; Zhu Z
Immun Inflamm Dis; 2021 Mar; 9(1):167-182. PubMed ID: 33190424
[TBL] [Abstract][Full Text] [Related]
18. Identification of candidate biomarkers and therapeutic drugs of colorectal cancer by integrated bioinformatics analysis.
Zheng Z; Xie J; Xiong L; Gao M; Qin L; Dai C; Liang Z; Wang Y; Xue J; Wang Q; Wang W; Li X
Med Oncol; 2020 Oct; 37(11):104. PubMed ID: 33078282
[TBL] [Abstract][Full Text] [Related]
19. CILP2 overexpression correlates with tumor progression and poor prognosis in patients with colorectal cancer in The Cancer Genome Atlas (TCGA) study.
Huang F; Peng Y; Ye Q; Chen J; Li Y; Liu S; Xu Y; Huang L
World J Surg Oncol; 2020 Oct; 18(1):274. PubMed ID: 33099318
[TBL] [Abstract][Full Text] [Related]
20. Aberrant expression of long noncoding RNA SNHG15 correlates with liver metastasis and poor survival in colorectal cancer.
Huang L; Lin H; Kang L; Huang P; Huang J; Cai J; Xian Z; Zhu P; Huang M; Wang L; Xian CJ; Wang J; Dong J
J Cell Physiol; 2019 May; 234(5):7032-7039. PubMed ID: 30317592
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
