150 related articles for article (PubMed ID: 35880752)
21. A molecular signature for the prediction of recurrence in colorectal cancer.
Wang L; Shen X; Wang Z; Xiao X; Wei P; Wang Q; Ren F; Wang Y; Liu Z; Sheng W; Huang W; Zhou X; Du X
Mol Cancer; 2015 Feb; 14(1):22. PubMed ID: 25645394
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Construction of Immune-Associated Nomogram for Predicting the Recurrence Survival Risk of Stage I Cervical Cancer.
Wang Y; Zhang L; Wang B; Cheng Y
Biomed Res Int; 2021; 2021():6699131. PubMed ID: 34337046
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. A novel prognostic model for papillary thyroid cancer based on epithelial-mesenchymal transition-related genes.
Liu R; Cao Z; Pan M; Wu M; Li X; Yuan H; Liu Z
Cancer Med; 2022 Dec; 11(23):4703-4720. PubMed ID: 35608185
[TBL] [Abstract][Full Text] [Related]
26. A DNA methylation signature for the prediction of tumour recurrence in stage II colorectal cancer.
Li M; Zhu C; Xue Y; Miao C; He R; Li W; Zhang B; Yu W; Huang X; Lv M; Xu Y; Huang Q
Br J Cancer; 2023 May; 128(9):1681-1689. PubMed ID: 36828869
[TBL] [Abstract][Full Text] [Related]
27. Identification and Validation of Six Autophagy-related Long Non-coding RNAs as Prognostic Signature in Colorectal Cancer.
Cheng L; Han T; Zhang Z; Yi P; Zhang C; Zhang S; Peng W
Int J Med Sci; 2021; 18(1):88-98. PubMed ID: 33390777
[TBL] [Abstract][Full Text] [Related]
28. N6-Methyladenosine-Related lncRNA Signature Predicts the Overall Survival of Colorectal Cancer Patients.
Song W; Ren J; Yuan W; Xiang R; Ge Y; Fu T
Genes (Basel); 2021 Aug; 12(9):. PubMed ID: 34573357
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Serum-based microRNA signature predicts relapse and therapeutic outcome of adjuvant chemotherapy in colorectal cancer patients.
Ji D; Qiao M; Yao Y; Li M; Chen H; Dong Q; Jia J; Cui X; Li Z; Xia J; Gu J
EBioMedicine; 2018 Sep; 35():189-197. PubMed ID: 30166271
[TBL] [Abstract][Full Text] [Related]
31. Transcriptomic Profiling Reveals an Enhancer RNA Signature for Recurrence Prediction in Colorectal Cancer.
Sahu D; Lin CC; Goel A
Genes (Basel); 2023 Jan; 14(1):. PubMed ID: 36672877
[TBL] [Abstract][Full Text] [Related]
32. Development and validation of a robust epithelial-mesenchymal transition (EMT)-related prognostic signature for hepatocellular carcinoma.
Chen S; Zhao E
Clin Res Hepatol Gastroenterol; 2021 Sep; 45(5):101587. PubMed ID: 33662631
[TBL] [Abstract][Full Text] [Related]
33. A Routine Laboratory Data-Based Model for Predicting Recurrence After Curative Resection of Stage II Colorectal Cancer.
Ye Z; Wang C; Guo L; Palazzo JP; Han Z; Lai Y; Jiang J; Posey JA; Mallick AB; Li B; Jiang L; Yang H
J Natl Compr Canc Netw; 2018 Oct; 16(10):1183-1192. PubMed ID: 30323088
[No Abstract] [Full Text] [Related]
34. CT-Based Radiomics Signature: A Potential Biomarker for Predicting Postoperative Recurrence Risk in Stage II Colorectal Cancer.
Fan S; Cui X; Liu C; Li X; Zheng L; Song Q; Qi J; Ma W; Ye Z
Front Oncol; 2021; 11():644933. PubMed ID: 33816297
[No Abstract] [Full Text] [Related]
35. 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]
36. Integration of genetic signature and TNM staging system for predicting the relapse of locally advanced colorectal cancer.
Peng J; Wang Z; Chen W; Ding Y; Wang H; Huang H; Huang W; Cai S
Int J Colorectal Dis; 2010 Nov; 25(11):1277-85. PubMed ID: 20706727
[TBL] [Abstract][Full Text] [Related]
37. Identification and characterization of a 25-lncRNA prognostic signature for early recurrence in hepatocellular carcinoma.
Fu Y; Wei X; Han Q; Le J; Ma Y; Lin X; Xu Y; Liu N; Wang X; Kong X; Gu J; Tong Y; Wu H
BMC Cancer; 2021 Oct; 21(1):1165. PubMed ID: 34717566
[TBL] [Abstract][Full Text] [Related]
38. Identification of a methylomics-associated nomogram for predicting overall survival of stage I-II lung adenocarcinoma.
Wang H; Wei C; Pan P; Yuan F; Cheng J
Sci Rep; 2021 May; 11(1):9938. PubMed ID: 33976305
[TBL] [Abstract][Full Text] [Related]
39. Development and Validation of an 8-Gene Signature to Improve Survival Prediction of Colorectal Cancer.
Zhou L; Yu Y; Wen R; Zheng K; Jiang S; Zhu X; Sui J; Gong H; Lou Z; Hao L; Yu G; Zhang W
Front Oncol; 2022; 12():863094. PubMed ID: 35619909
[TBL] [Abstract][Full Text] [Related]
40. A novel 9-gene signature for the prediction of postoperative recurrence in stage II/III colorectal cancer.
Xin C; Lai Y; Ji L; Wang Y; Li S; Hao L; Zhang W; Meng R; Xu J; Hong Y; Lou Z
Front Genet; 2022; 13():1097234. PubMed ID: 36704343
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]