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.
254 related articles for article (PubMed ID: 37434467)
21. A Novel Prognostic Signature Revealed the Interaction of Immune Cells in Tumor Microenvironment Based on Single-Cell RNA Sequencing for Lung Adenocarcinoma. Jin X; Hu Z; Sui Q; Zhao M; Liang J; Liao Z; Zheng Y; Wang H; Shi Y J Immunol Res; 2022; 2022():6555810. PubMed ID: 35812244 [TBL] [Abstract][Full Text] [Related]
22. 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]
23. A risk model developed based on tumor microenvironment predicts overall survival and associates with tumor immunity of patients with lung adenocarcinoma. Wu J; Li L; Zhang H; Zhao Y; Zhang H; Wu S; Xu B Oncogene; 2021 Jul; 40(26):4413-4424. PubMed ID: 34108619 [TBL] [Abstract][Full Text] [Related]
24. Establishment and validation of an immune-associated signature in lung adenocarcinoma. Wang Z; Chen X Int Immunopharmacol; 2020 Nov; 88():106867. PubMed ID: 32799112 [TBL] [Abstract][Full Text] [Related]
25. A Robust Seven-Gene Signature Associated With Tumor Microenvironment to Predict Survival Outcomes of Patients With Stage III-IV Lung Adenocarcinoma. Zhao H; Zhang X; Guo L; Shi S; Lu C Front Genet; 2021; 12():684281. PubMed ID: 34552612 [TBL] [Abstract][Full Text] [Related]
26. Identification of a TGF-β signaling-related gene signature for prediction of immunotherapy and targeted therapy for lung adenocarcinoma. Yu Q; Zhao L; Yan XX; Li Y; Chen XY; Hu XH; Bu Q; Lv XP World J Surg Oncol; 2022 Jun; 20(1):183. PubMed ID: 35668494 [TBL] [Abstract][Full Text] [Related]
27. Prognostic Value and Genome Signature of m6A/m5C Regulated Genes in Early-Stage Lung Adenocarcinoma. Tian L; Wang Y; Tian J; Song W; Li L; Che G Int J Mol Sci; 2023 Mar; 24(7):. PubMed ID: 37047493 [TBL] [Abstract][Full Text] [Related]
28. Development and Validation of a Machine Learning Prognostic Model of m5C Related immune Genes in Lung Adenocarcinoma. Cao X; Ji Y; Li J; Liu Z; Chen C Cancer Control; 2024; 31():10732748241237414. PubMed ID: 38537151 [TBL] [Abstract][Full Text] [Related]
29. Identification of metabolism-related gene signature in lung adenocarcinoma. Wang N; Wang H Medicine (Baltimore); 2023 Nov; 102(47):e36267. PubMed ID: 38013279 [TBL] [Abstract][Full Text] [Related]
30. A seven-gene prognostic model related to immune checkpoint PD-1 revealing overall survival in patients with lung adenocarcinoma. Niu W; Jiang L Math Biosci Eng; 2021 Jul; 18(5):6136-6154. PubMed ID: 34517527 [TBL] [Abstract][Full Text] [Related]
31. Single-cell sequencing analysis and transcriptome analysis constructed the macrophage related gene-related signature in lung adenocarcinoma and verified by an independent cohort. Li R; Tong R; Zhang Z; Deng M; Wang T; Hou G Genomics; 2022 Nov; 114(6):110520. PubMed ID: 36372305 [TBL] [Abstract][Full Text] [Related]
32. Molecular Characterization and Prognosis of Lactate-Related Genes in Lung Adenocarcinoma. Guo Z; Hu L; Wang Q; Wang Y; Liu XP; Chen C; Li S; Hu W Curr Oncol; 2023 Feb; 30(3):2845-2861. PubMed ID: 36975430 [TBL] [Abstract][Full Text] [Related]
33. Establishment and Evaluation of a 6-Gene Survival Risk Assessment Model Related to Lung Adenocarcinoma Microenvironment. Wang Z; Xu H; Zhu L; He T; Lv W; Wu Z Biomed Res Int; 2020; 2020():6472153. PubMed ID: 32337264 [TBL] [Abstract][Full Text] [Related]
34. Development and validation of an immune-related prognostic signature in lung adenocarcinoma. Sun S; Guo W; Wang Z; Wang X; Zhang G; Zhang H; Li R; Gao Y; Qiu B; Tan F; Gao Y; Xue Q; Gao S; He J Cancer Med; 2020 Aug; 9(16):5960-5975. PubMed ID: 32592319 [TBL] [Abstract][Full Text] [Related]
35. Identification of prognostic gene signature associated with microenvironment of lung adenocarcinoma. Yue C; Ma H; Zhou Y PeerJ; 2019; 7():e8128. PubMed ID: 31803536 [TBL] [Abstract][Full Text] [Related]
36. Molecular subtypes of lung adenocarcinoma patients for prognosis and therapeutic response prediction with machine learning on 13 programmed cell death patterns. Wei Q; Jiang X; Miao X; Zhang Y; Chen F; Zhang P J Cancer Res Clin Oncol; 2023 Oct; 149(13):11351-11368. PubMed ID: 37378675 [TBL] [Abstract][Full Text] [Related]
37. [Construction and Validation of Prognostic Risk Score Model of Autophagy Related Genes in Lung Adenocarcinoma]. Zhou J; Wang X; Li Z; Jiang R Zhongguo Fei Ai Za Zhi; 2021 Aug; 24(8):557-566. PubMed ID: 34256900 [TBL] [Abstract][Full Text] [Related]
38. Comprehensive analysis of microenvironment-related genes in lung adenocarcinoma. Tao Y; Li Y; Liang B Future Oncol; 2020 Aug; 16(24):1825-1837. PubMed ID: 32501723 [No Abstract] [Full Text] [Related]
39. Cancer Stemness-Based Prognostic Immune-Related Gene Signatures in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma. Li N; Li Y; Zheng P; Zhan X Front Endocrinol (Lausanne); 2021; 12():755805. PubMed ID: 34745015 [TBL] [Abstract][Full Text] [Related]
40. Integration of multiple key molecules in lung adenocarcinoma identifies prognostic and immunotherapeutic relevant gene signatures. Wu Q; Wang L; Wei H; Li B; Yang J; Wang Z; Xu J; Zhou YL; Zhang B Int Immunopharmacol; 2020 Jun; 83():106477. PubMed ID: 32278127 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]