155 related articles for article (PubMed ID: 37158531)
21. Novel nomograms to predict lymph node metastasis and liver metastasis in patients with early colon carcinoma.
Yan Y; Liu H; Mao K; Zhang M; Zhou Q; Yu W; Shi B; Wang J; Xiao Z
J Transl Med; 2019 Jun; 17(1):193. PubMed ID: 31182111
[TBL] [Abstract][Full Text] [Related]
22. Prognostic and predictive value of a microRNA signature in stage II colon cancer: a microRNA expression analysis.
Zhang JX; Song W; Chen ZH; Wei JH; Liao YJ; Lei J; Hu M; Chen GZ; Liao B; Lu J; Zhao HW; Chen W; He YL; Wang HY; Xie D; Luo JH
Lancet Oncol; 2013 Dec; 14(13):1295-306. PubMed ID: 24239208
[TBL] [Abstract][Full Text] [Related]
23. Bladder cancer survival nomogram: Development and validation of a prediction tool, using the SEER and TCGA databases.
Zhang Y; Hong YK; Zhuang DW; He XJ; Lin ME
Medicine (Baltimore); 2019 Nov; 98(44):e17725. PubMed ID: 31689813
[TBL] [Abstract][Full Text] [Related]
24. Nomograms for Predicting the Risk and Prognosis of Liver Metastases in Pancreatic Cancer: A Population-Based Analysis.
Shi H; Li X; Chen Z; Jiang W; Dong S; He R; Zhou W
J Pers Med; 2023 Feb; 13(3):. PubMed ID: 36983591
[TBL] [Abstract][Full Text] [Related]
25. A nomogram model based on the number of examined lymph nodes-related signature to predict prognosis and guide clinical therapy in gastric cancer.
Li H; Lin D; Yu Z; Li H; Zhao S; Hainisayimu T; Liu L; Wang K
Front Immunol; 2022; 13():947802. PubMed ID: 36405735
[TBL] [Abstract][Full Text] [Related]
26. Early distinction of lymph node metastasis in patients with soft tissue sarcoma and individualized survival prediction using the online available nomograms: A population-based analysis.
Tong Y; Pi Y; Cui Y; Jiang L; Gong Y; Zhao D
Front Oncol; 2022; 12():959804. PubMed ID: 36568161
[TBL] [Abstract][Full Text] [Related]
27. Comparison of Prognostic Value of Red Cell-Related Parameters of Biliary Tract Cancer After Surgical Resection and Integration of a Prognostic Nomogram: A Retrospective Study.
Sun L; Guan A; Jin Y; Liu M; Xiao Y; Xu H; Du S; Zhao H; Lu X; Sang X; Zhong S; Yang H; Mao Y
Adv Ther; 2021 Feb; 38(2):1227-1244. PubMed ID: 33367985
[TBL] [Abstract][Full Text] [Related]
28. [Relationship between preoperative inflammatory indexes and prognosis of patients with rectal cancer and establishment of prognostic nomogram prediction model].
Zhang L; Shi FY; Qin Q; Liu GX; Zhang HW; Yan J; Tan M; Wang LZ; Xue D; Hu CH; Zhang Z; She JJ
Zhonghua Zhong Liu Za Zhi; 2022 May; 44(5):402-409. PubMed ID: 35615796
[No Abstract] [Full Text] [Related]
29. A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients With Hypopharyngeal Squamous Cell Carcinomas: A Population-Based Study.
Wang J; Liu X; Tang J; Zhang Q; Zhao Y
Front Public Health; 2021; 9():815631. PubMed ID: 35096758
[No Abstract] [Full Text] [Related]
30. Construction on of a Ferroptosis-Related lncRNA-Based Model to Improve the Prognostic Evaluation of Gastric Cancer Patients Based on Bioinformatics.
Pan J; Zhang X; Fang X; Xin Z
Front Genet; 2021; 12():739470. PubMed ID: 34497636
[TBL] [Abstract][Full Text] [Related]
31. A novel machine learning model based on ubiquitin-related gene pairs and clinical features to predict prognosis and treatment effect in colon adenocarcinoma.
Liang L; Liu L; Mai S; Chen Y
Eur J Med Res; 2023 Jan; 28(1):41. PubMed ID: 36681855
[TBL] [Abstract][Full Text] [Related]
32. Improving the Prognosis of Colon Cancer through Knowledge-Based Clinical-Molecular Integrated Analysis.
Tong D; Tian Y; Ye Q; Li J; Ding K; Li J
Biomed Res Int; 2021; 2021():9987819. PubMed ID: 33928165
[TBL] [Abstract][Full Text] [Related]
33. Development and external validation of a novel nomogram for predicting cancer-specific survival in patients with ascending colon adenocarcinoma after surgery: a population-based study.
Zhang YF; Ma C; Qian XP
World J Surg Oncol; 2022 Apr; 20(1):126. PubMed ID: 35439983
[TBL] [Abstract][Full Text] [Related]
34. Analysis of prognostic factors of undifferentiated pleomorphic sarcoma and construction and validation of a prediction nomogram based on SEER database.
Wang Z; Liu J; Han J; Yang Z; Wang Q
Eur J Med Res; 2022 Sep; 27(1):179. PubMed ID: 36109828
[TBL] [Abstract][Full Text] [Related]
35. Development and validation of a prognostic nomogram for early-onset colon cancer.
Yu C; Zhang Y
Biosci Rep; 2019 Jun; 39(6):. PubMed ID: 31142625
[TBL] [Abstract][Full Text] [Related]
36. Construction and evaluation of a prognostic risk assessment model of gastric cancer by using hypoxia features.
Zhu X; Wang J; Jin X; Chen Y; Hu L; Zhao J
Mutat Res; 2022; 825():111795. PubMed ID: 36049301
[TBL] [Abstract][Full Text] [Related]
37. Construction and validation of a metabolic-related genes prognostic model for oral squamous cell carcinoma based on bioinformatics.
Zhang J; Ma C; Qin H; Wang Z; Zhu C; Liu X; Hao X; Liu J; Li L; Cai Z
BMC Med Genomics; 2022 Dec; 15(1):269. PubMed ID: 36566175
[TBL] [Abstract][Full Text] [Related]
38. Development and validation of a metabolic gene signature for predicting overall survival in patients with colon cancer.
Ren J; Feng J; Song W; Wang C; Ge Y; Fu T
Clin Exp Med; 2020 Nov; 20(4):535-544. PubMed ID: 32772211
[TBL] [Abstract][Full Text] [Related]
39. A novel nomogram associated with regulatory T cells infiltration by weighted gene co-expression network analysis for predicting survival in patients with colon cancer.
Li HJ; Peng JK; Wang YQ; Jiang HW; Wang J
Eur Rev Med Pharmacol Sci; 2022 Nov; 26(21):8073-8086. PubMed ID: 36394757
[TBL] [Abstract][Full Text] [Related]
40. [Prognostic value and initial exploratory research on TNM staging method of tumor deposits in stage III colon cancer].
Qin Q; Yang L; Zhou AP; Wang JW; Zhong DS
Zhonghua Wei Chang Wai Ke Za Zhi; 2019 Dec; 22(12):1152-1158. PubMed ID: 31874531
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]