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.
287 related articles for article (PubMed ID: 35078458)
1. A novel prognostic model based on single-cell RNA sequencing data for hepatocellular carcinoma. Lu J; Chen Y; Zhang X; Guo J; Xu K; Li L Cancer Cell Int; 2022 Jan; 22(1):38. PubMed ID: 35078458 [TBL] [Abstract][Full Text] [Related]
2. Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model. Tan Z; Chen X; Zuo J; Fu S; Wang H; Wang J J Transl Med; 2023 Mar; 21(1):223. PubMed ID: 36973787 [TBL] [Abstract][Full Text] [Related]
3. Prognostic prediction using a gene signature developed based on exhausted T cells for liver cancer patients. Zhou Y; Wu W; Cai W; Zhang D; Zhang W; Luo Y; Cai F; Shi Z Heliyon; 2024 Mar; 10(6):e28156. PubMed ID: 38533068 [TBL] [Abstract][Full Text] [Related]
4. Development and validation a prognostic model based on natural killer T cells marker genes for predicting prognosis and characterizing immune status in glioblastoma through integrated analysis of single-cell and bulk RNA sequencing. Hu J; Xu L; Fu W; Sun Y; Wang N; Zhang J; Yang C; Zhang X; Zhou Y; Wang R; Zhang H; Mou R; Du X; Li X; Hu S; Xie R Funct Integr Genomics; 2023 Aug; 23(3):286. PubMed ID: 37650991 [TBL] [Abstract][Full Text] [Related]
5. Establishment of an ovarian cancer omentum metastasis-related prognostic model by integrated analysis of scRNA-seq and bulk RNA-seq. Zhang D; Lu W; Cui S; Mei H; Wu X; Zhuo Z J Ovarian Res; 2022 Nov; 15(1):123. PubMed ID: 36424614 [TBL] [Abstract][Full Text] [Related]
6. Integration of scRNA-Seq and Bulk RNA-Seq to Analyse the Heterogeneity of Ovarian Cancer Immune Cells and Establish a Molecular Risk Model. Liang L; Yu J; Li J; Li N; Liu J; Xiu L; Zeng J; Wang T; Wu L Front Oncol; 2021; 11():711020. PubMed ID: 34621670 [TBL] [Abstract][Full Text] [Related]
7. Identification of a novel signature based on macrophage-related marker genes to predict prognosis and immunotherapeutic effects in hepatocellular carcinoma. Su Y; Xue C; Gu X; Wang W; Sun Y; Zhang R; Li L Front Oncol; 2023; 13():1176572. PubMed ID: 37305578 [TBL] [Abstract][Full Text] [Related]
8. An Integrated Model Based on a Six-Gene Signature Predicts Overall Survival in Patients With Hepatocellular Carcinoma. Li W; Lu J; Ma Z; Zhao J; Liu J Front Genet; 2019; 10():1323. PubMed ID: 32010188 [No Abstract] [Full Text] [Related]
9. T-cell exhaustion signatures characterize the immune landscape and predict HCC prognosis Chi H; Zhao S; Yang J; Gao X; Peng G; Zhang J; Xie X; Song G; Xu K; Xia Z; Chen S; Zhao J Front Immunol; 2023; 14():1137025. PubMed ID: 37006257 [TBL] [Abstract][Full Text] [Related]
10. Analysis on heterogeneity of hepatocellular carcinoma immune cells and a molecular risk model by integration of scRNA-seq and bulk RNA-seq. Liu X; Li J; Wang Q; Bai L; Xing J; Hu X; Li S; Li Q Front Immunol; 2022; 13():1012303. PubMed ID: 36311759 [TBL] [Abstract][Full Text] [Related]
11. Single-cell data revealed CD14-type and FCGR3A-type macrophages and relevant prognostic factors for predicting immunotherapy and prognosis in stomach adenocarcinoma. Li M; Lu M; Li J; Gui Q; Xia Y; Lu C; Shu H PeerJ; 2024; 12():e16776. PubMed ID: 38274323 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Identification of a Novel Four-Gene Signature Correlated With the Prognosis of Patients With Hepatocellular Carcinoma: A Comprehensive Analysis. Zhu W; Ru L; Ma Z Front Oncol; 2021; 11():626654. PubMed ID: 33777771 [TBL] [Abstract][Full Text] [Related]
14. T cell-related ubiquitination genes as prognostic indicators in hepatocellular carcinoma. Chen C; Chen Z; Zhou Z; Ye H; Xiong S; Hu W; Xu Z; Ge C; Zhao C; Yu D; Shen J Front Immunol; 2024; 15():1424752. PubMed ID: 38919610 [TBL] [Abstract][Full Text] [Related]
15. Integrated analysis of single-cell and bulk RNA-sequencing reveals tumor heterogeneity and a signature based on NK cell marker genes for predicting prognosis in hepatocellular carcinoma. Li S; Du H; Gan D; Li X; Zao X; Ye Y Front Pharmacol; 2023; 14():1200114. PubMed ID: 37397471 [No Abstract] [Full Text] [Related]
16. Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinoma. Zhengdong A; Xiaoying X; Shuhui F; Rui L; Zehui T; Guanbin S; Li Y; Xi T; Wanqian L Cancer Cell Int; 2024 Apr; 24(1):130. PubMed ID: 38584256 [TBL] [Abstract][Full Text] [Related]
17. Identification of a Pyroptosis-Related Prognostic Signature Combined With Experiments in Hepatocellular Carcinoma. Li H; Li T; Zhang X Front Mol Biosci; 2022; 9():822503. PubMed ID: 35309514 [TBL] [Abstract][Full Text] [Related]
18. Identifying a Hypoxia-Related Long Non-Coding RNAs Signature to Improve the Prediction of Prognosis and Immunotherapy Response in Hepatocellular Carcinoma. Tang P; Qu W; Wang T; Liu M; Wu D; Tan L; Zhou H Front Genet; 2021; 12():785185. PubMed ID: 34917132 [No Abstract] [Full Text] [Related]
19. Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma. Xu Q; Xu H; Chen S; Huang W Front Cell Dev Biol; 2021; 9():710207. PubMed ID: 34409040 [No Abstract] [Full Text] [Related]
20. Integration of Single-Cell RNA Sequencing and Bulk RNA Sequencing Data to Establish and Validate a Prognostic Model for Patients With Lung Adenocarcinoma. Jiang A; Wang J; Liu N; Zheng X; Li Y; Ma Y; Zheng H; Chen X; Fan C; Zhang R; Fu X; Yao Y Front Genet; 2022; 13():833797. PubMed ID: 35154287 [No Abstract] [Full Text] [Related] [Next] [New Search]