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.
954 related articles for article (PubMed ID: 31724326)
1. 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]
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. 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]
4. 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]
5. Eight-gene signature predicts recurrence in lung adenocarcinoma. Zhang Y; Fan Q; Guo Y; Zhu K Cancer Biomark; 2020; 28(4):447-457. PubMed ID: 32508318 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. A novel prognostic risk score model based on immune-related genes in patients with stage IV colorectal cancer. Xu K; He J; Zhang J; Liu T; Yang F; Ren T Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 33034614 [TBL] [Abstract][Full Text] [Related]
8. An age stratified analysis of the biomarkers in patients with colorectal cancer. Yao H; Li C; Tan X Sci Rep; 2021 Nov; 11(1):22464. PubMed ID: 34789836 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. Identifying the mRNAs associated with Bladder cancer recurrence. Cao H; Cheng L; Yu J; Zhang Z; Luo Z; Chen D Cancer Biomark; 2020; 28(4):429-437. PubMed ID: 32390597 [TBL] [Abstract][Full Text] [Related]
11. Long non-coding RNA profile study identifies a metabolism-related signature for colorectal cancer. Lu Y; Wang W; Liu Z; Ma J; Zhou X; Fu W Mol Med; 2021 Aug; 27(1):83. PubMed ID: 34344319 [TBL] [Abstract][Full Text] [Related]
12. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis. Shang M; Zhang L; Chen X; Zheng S Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587 [TBL] [Abstract][Full Text] [Related]
13. Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy. Su Q; Liu Z; Chen C; Gao H; Zhu Y; Wang L; Pan M; Liu J; Yang X; Tian J Cancer Med; 2021 Sep; 10(18):6492-6502. PubMed ID: 34453418 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer. Ebadfardzadeh J; Kazemi M; Aghazadeh A; Rezaei M; Shirvaliloo M; Sheervalilou R Med Oncol; 2021 Aug; 38(9):114. PubMed ID: 34390411 [TBL] [Abstract][Full Text] [Related]
17. Identification of prognostic immune-related gene signature associated with tumor microenvironment of colorectal cancer. Wang Y; Li W; Jin X; Jiang X; Guo S; Xu F; Su X; Wang G; Zhao Z; Gu X BMC Cancer; 2021 Aug; 21(1):905. PubMed ID: 34364366 [TBL] [Abstract][Full Text] [Related]
18. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer. Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036 [TBL] [Abstract][Full Text] [Related]
19. Identification of potential therapeutic targets associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis. Sharma A; Yadav D; Rao P; Sinha S; Goswami D; Rawal RM; Shrivastava N Comput Biol Med; 2022 Jul; 146():105688. PubMed ID: 35680454 [TBL] [Abstract][Full Text] [Related]
20. Identification of the prognostic value of ferroptosis-related gene signature in breast cancer patients. Wang D; Wei G; Ma J; Cheng S; Jia L; Song X; Zhang M; Ju M; Wang L; Zhao L; Xin S BMC Cancer; 2021 May; 21(1):645. PubMed ID: 34059009 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]