131 related articles for article (PubMed ID: 32717065)
1. Gene dysregulation analysis builds a mechanistic signature for prognosis and therapeutic benefit in colorectal cancer.
Li Q; Dai W; Liu J; Sang Q; Li YX; Li YY
J Mol Cell Biol; 2020 Jul; 12(11):881-893. PubMed ID: 32717065
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. A network-based predictive gene-expression signature for adjuvant chemotherapy benefit in stage II colorectal cancer.
Cao B; Luo L; Feng L; Ma S; Chen T; Ren Y; Zha X; Cheng S; Zhang K; Chen C
BMC Cancer; 2017 Dec; 17(1):844. PubMed ID: 29237416
[TBL] [Abstract][Full Text] [Related]
4. DysRegSig: an R package for identifying gene dysregulations and building mechanistic signatures in cancer.
Li Q; Dai W; Liu J; Sang Q; Li YX; Li YY
Bioinformatics; 2021 Apr; 37(3):429-430. PubMed ID: 32717036
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Identification and Construction of Combinatory Cancer Hallmark-Based Gene Signature Sets to Predict Recurrence and Chemotherapy Benefit in Stage II Colorectal Cancer.
Gao S; Tibiche C; Zou J; Zaman N; Trifiro M; O'Connor-McCourt M; Wang E
JAMA Oncol; 2016 Jan; 2(1):37-45. PubMed ID: 26502222
[TBL] [Abstract][Full Text] [Related]
7. Analysis of DNA methylation-driven genes for predicting the prognosis of patients with colorectal cancer.
Fu B; Du C; Wu Z; Li M; Zhao Y; Liu X; Wu H; Wei M
Aging (Albany NY); 2020 Nov; 12(22):22814-22839. PubMed ID: 33203797
[TBL] [Abstract][Full Text] [Related]
8. Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling.
Martinez-Romero J; Bueno-Fortes S; Martín-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]
9. CRC-113 gene expression signature for predicting prognosis in patients with colorectal cancer.
Nguyen MN; Choi TG; Nguyen DT; Kim JH; Jo YH; Shahid M; Akter S; Aryal SN; Yoo JY; Ahn YJ; Cho KM; Lee JS; Choe W; Kang I; Ha J; Kim SS
Oncotarget; 2015 Oct; 6(31):31674-92. PubMed ID: 26397224
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Establishment of a novel prognostic signature based on an identified expression profile of integrin superfamily to predict overall survival of patients with colorectal adenocarcinoma.
Yu J; Yang K; Zheng J; Sun X; Zhao W
Gene; 2022 Jan; 808():145990. PubMed ID: 34624456
[TBL] [Abstract][Full Text] [Related]
13. Identification and validation of an immune prognostic signature in colorectal cancer.
Li M; Wang H; Li W; Peng Y; Xu F; Shang J; Dong S; Bu L; Wang H; Wei W; Hu Q; Liu L; Zhao Q
Int Immunopharmacol; 2020 Nov; 88():106868. PubMed ID: 32771948
[TBL] [Abstract][Full Text] [Related]
14. Ferroptosis-related genes are potential prognostic molecular markers for patients with colorectal cancer.
Liu Y; Guo F; Guo W; Wang Y; Song W; Fu T
Clin Exp Med; 2021 Aug; 21(3):467-477. PubMed ID: 33674956
[TBL] [Abstract][Full Text] [Related]
15. Integrative analysis from multi-centre studies identifies a function-derived personalized multi-gene signature of outcome in colorectal cancer.
Sun J; Zhao H; Lin S; Bao S; Zhang Y; Su J; Zhou M
J Cell Mol Med; 2019 Aug; 23(8):5270-5281. PubMed ID: 31140730
[TBL] [Abstract][Full Text] [Related]
16. Two novel qualitative transcriptional signatures robustly applicable to non-research-oriented colorectal cancer samples with low-quality RNA.
Cheng J; Guo Y; Guan G; Huang H; Jiang F; He J; Wu J; Guo Z; Liu X; Ao L
J Cell Mol Med; 2021 Apr; 25(7):3622-3633. PubMed ID: 33719152
[TBL] [Abstract][Full Text] [Related]
17. Quantitative or qualitative transcriptional diagnostic signatures? A case study for colorectal cancer.
Guan Q; Yan H; Chen Y; Zheng B; Cai H; He J; Song K; Guo Y; Ao L; Liu H; Zhao W; Wang X; Guo Z
BMC Genomics; 2018 Jan; 19(1):99. PubMed ID: 29378509
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Identification of a Novel Five-Gene Signature as a Prognostic and Diagnostic Biomarker in Colorectal Cancers.
Ghatak S; Mehrabi SF; Mehdawi LM; Satapathy SR; Sjölander A
Int J Mol Sci; 2022 Jan; 23(2):. PubMed ID: 35054980
[TBL] [Abstract][Full Text] [Related]
20. Identification of upstream regulators for prognostic expression signature genes in colorectal cancer.
Bae T; Rho K; Choi JW; Horimoto K; Kim W; Kim S
BMC Syst Biol; 2013 Sep; 7():86. PubMed ID: 24006872
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
