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.
364 related articles for article (PubMed ID: 38742936)
1. Investigating gene signatures associated with immunity in colon adenocarcinoma to predict the immunotherapy effectiveness using NFM and WGCNA algorithms. Liang W; Yang X; Li X; Wang P; Zhu Z; Liu S; Xu D; Zhi X; Xue J Aging (Albany NY); 2024 May; 16(9):7596-7621. PubMed ID: 38742936 [TBL] [Abstract][Full Text] [Related]
2. A Prognostic Model Based on the Immune-related Genes in Colon Adenocarcinoma. Sun YL; Zhang Y; Guo YC; Yang ZH; Xu YC Int J Med Sci; 2020; 17(13):1879-1896. PubMed ID: 32788867 [No Abstract] [Full Text] [Related]
3. To explore the prognostic characteristics of colon cancer based on tertiary lymphoid structure-related genes and reveal the characteristics of tumor microenvironment and drug prediction. Wang Z; Niu D Sci Rep; 2024 Jun; 14(1):13555. PubMed ID: 38867070 [TBL] [Abstract][Full Text] [Related]
4. Prediction and identification of immune genes related to the prognosis of patients with colon adenocarcinoma and its mechanisms. Chen S; Cao GD; Wei W; Yida L; Xiaobo H; Lei Y; Ke C; Chen B; Xiong MM World J Surg Oncol; 2020 Jun; 18(1):146. PubMed ID: 32600423 [TBL] [Abstract][Full Text] [Related]
5. A Comprehensive Prognostic Model for Colon Adenocarcinoma Depending on Nuclear-Mitochondrial-Related Genes. Lv L; Huang Y; Li Q; Wu Y; Zheng L Technol Cancer Res Treat; 2024; 23():15330338241258570. PubMed ID: 38832431 [No Abstract] [Full Text] [Related]
6. Exploring and validating the necroptotic gene regulation and related lncRNA mechanisms in colon adenocarcinoma based on multi-dimensional data. Wang W; Liu Y; Wang Z; Tan X; Jian X; Zhang Z Sci Rep; 2024 Sep; 14(1):22251. PubMed ID: 39333335 [TBL] [Abstract][Full Text] [Related]
7. Identification of 9 Gene Signatures by WGCNA to Predict Prognosis for Colon Adenocarcinoma. Yang M; He H; Peng T; Lu Y; Yu J Comput Intell Neurosci; 2022; 2022():8598046. PubMed ID: 35392038 [TBL] [Abstract][Full Text] [Related]
8. Identification prognosis-associated immune genes in colon adenocarcinoma. Miao Y; Wang J; Ma X; Yang Y; Mi D Biosci Rep; 2020 Nov; 40(11):. PubMed ID: 33140821 [TBL] [Abstract][Full Text] [Related]
9. Analysis of Interleukin-1 Signaling Alterations of Colon Adenocarcinoma Identified Implications for Immunotherapy. Zhou X; Liu Y; Xiang J; Wang Y; Wang Q; Xia J; Chen Y; Bai Y Front Immunol; 2021; 12():665002. PubMed ID: 34367132 [TBL] [Abstract][Full Text] [Related]
10. Mining novel cell glycolysis related gene markers that can predict the survival of colon adenocarcinoma patients. Chen S; Cao G; Wu W; Lu Y; He X; Yang L; Chen K; Chen B; Xiong M Biosci Rep; 2020 Aug; 40(8):. PubMed ID: 32744303 [TBL] [Abstract][Full Text] [Related]
11. Identification of gene modules and hub genes in colon adenocarcinoma associated with pathological stage based on WGCNA analysis. Wang H; Liu J; Li J; Zang D; Wang X; Chen Y; Gu T; Su W; Song N Cancer Genet; 2020 Apr; 242():1-7. PubMed ID: 32036224 [TBL] [Abstract][Full Text] [Related]
12. Circadian Clock Genes Are Correlated with Prognosis and Immune Cell Infiltration in Colon Adenocarcinoma. He A; Huang Z; Zhang R; Lu H; Wang J; Cao J; Feng Q Comput Math Methods Med; 2022; 2022():1709918. PubMed ID: 35116071 [TBL] [Abstract][Full Text] [Related]
13. Identification and validation of regulatory T cell-associated gene signatures to predict colon adenocarcinoma prognosis. Zhao X; Li X; Miao Z Int Immunopharmacol; 2024 May; 132():112034. PubMed ID: 38588631 [TBL] [Abstract][Full Text] [Related]
14. Comprehensive analysis of m Liu T; Li H; Du G; Ma J; Shen J; Zhao H; Luo F; Li H Gene; 2022 May; 821():146250. PubMed ID: 35151825 [TBL] [Abstract][Full Text] [Related]
15. An integrated bioinformatic investigation of mitochondrial energy metabolism genes in colon adenocarcinoma followed by preliminary validation of CPT2 in tumor immune infiltration. Cao Z; Lin J; Fu G; Niu L; Yang Z; Cai W Front Immunol; 2022; 13():959967. PubMed ID: 36177002 [TBL] [Abstract][Full Text] [Related]
16. Generation of novel lipid metabolism-based signatures to predict prognosis and immunotherapy response for colorectal adenocarcinoma. Wang Y; Yao J; Zhang Z; Wei L; Wang S Sci Rep; 2024 Jul; 14(1):17158. PubMed ID: 39060344 [TBL] [Abstract][Full Text] [Related]
17. Establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis. Luo J; Liu P; Wang L; Huang Y; Wang Y; Geng W; Chen D; Bai Y; Yang Z BMC Cancer; 2020 Nov; 20(1):1071. PubMed ID: 33167940 [TBL] [Abstract][Full Text] [Related]
18. Gene expression and methylation profiles identified CXCL3 and CXCL8 as key genes for diagnosis and prognosis of colon adenocarcinoma. Zhao QQ; Jiang C; Gao Q; Zhang YY; Wang G; Chen XP; Wu SB; Tang J J Cell Physiol; 2020 May; 235(5):4902-4912. PubMed ID: 31709538 [TBL] [Abstract][Full Text] [Related]
19. Exploration of the relationship between tumor mutation burden and immune infiltrates in colon adenocarcinoma. Ouyang R; Li Z; Peng P; Zhang J; Liu J; Qin M; Huang J Int J Med Sci; 2021; 18(3):685-694. PubMed ID: 33437203 [No Abstract] [Full Text] [Related]
20. DEPDC1B: A novel tumor suppressor gene associated with immune infiltration in colon adenocarcinoma. Zhu D; Feng H; Zhang Z; Li J; Li Y; Hou T Cancer Med; 2024 Aug; 13(15):e70043. PubMed ID: 39087856 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]