159 related articles for article (PubMed ID: 36692643)
1. Metabolic heterogeneity in early-stage lung adenocarcinoma revealed by RNA-seq and scRNA-seq.
Zhang Y; Shi J; Luo J; Liu C; Zhu L
Clin Transl Oncol; 2023 Jun; 25(6):1844-1855. PubMed ID: 36692643
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Single-cell RNA-sequencing uncovers the dynamic changes of tumour immune microenvironment in advanced lung adenocarcinoma.
Lu H; Qian J; Cheng L; Shen Y; Chu T; Zhao C
BMJ Open Respir Res; 2023 Dec; 10(1):. PubMed ID: 38081768
[TBL] [Abstract][Full Text] [Related]
4. Intercellular Communication-Related Molecular Subtypes and a Gene Signature Identified by the Single-Cell RNA Sequencing Combined with a Transcriptomic Analysis.
Guan P; Cai W; Wu K; Jiang F; Wu J; Zhai X; Zeng M
Dis Markers; 2022; 2022():6837849. PubMed ID: 35620271
[TBL] [Abstract][Full Text] [Related]
5. Identification of differentially expressed genes in lung adenocarcinoma cells using single-cell RNA sequencing not detected using traditional RNA sequencing and microarray.
Chen Z; Zhao M; Li M; Sui Q; Bian Y; Liang J; Hu Z; Zheng Y; Lu T; Huang Y; Zhan C; Jiang W; Wang Q; Tan L
Lab Invest; 2020 Oct; 100(10):1318-1329. PubMed ID: 32327726
[TBL] [Abstract][Full Text] [Related]
6. Immune and non-immune cell subtypes identify novel targets for prognostic and therapeutic strategy: A study based on intratumoral heterogenicity analysis of multicenter scRNA-seq datasets in lung adenocarcinoma.
Fan T; Lu J; Niu D; Zhang Y; Wang B; Zhang B; Zhang Z; He X; Peng N; Li B; Fang H; Gong Z; Zhang L
Front Immunol; 2022; 13():1046121. PubMed ID: 36483553
[TBL] [Abstract][Full Text] [Related]
7. Combining bulk RNA-sequencing and single-cell RNA-sequencing data to reveal the immune microenvironment and metabolic pattern of osteosarcoma.
Huang R; Wang X; Yin X; Zhou Y; Sun J; Yin Z; Zhu Z
Front Genet; 2022; 13():976990. PubMed ID: 36338972
[No Abstract] [Full Text] [Related]
8. 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]
9. Unraveling the potential of senescence-related genes in guiding clinical therapy of lung adenocarcinoma patients.
Liu C; Wei X
Funct Integr Genomics; 2023 May; 23(2):188. PubMed ID: 37246190
[TBL] [Abstract][Full Text] [Related]
10. A Cell Differentiation Trajectory-Related Signature for Predicting the Prognosis of Lung Adenocarcinoma.
Yang F; Zhao Y; Huang X; Zhang J; Zhang T
Genet Res (Camb); 2022; 2022():3483498. PubMed ID: 36072012
[TBL] [Abstract][Full Text] [Related]
11. T cell-related prognostic risk model and tumor immune environment modulation in lung adenocarcinoma based on single-cell and bulk RNA sequencing.
Zhang J; Liu X; Huang Z; Wu C; Zhang F; Han A; Stalin A; Lu S; Guo S; Huang J; Liu P; Shi R; Zhai Y; Chen M; Zhou W; Bai M; Wu J
Comput Biol Med; 2023 Jan; 152():106460. PubMed ID: 36565482
[TBL] [Abstract][Full Text] [Related]
12. Subtype classification based on t cell proliferation-related regulator genes and risk model for predicting outcomes of lung adenocarcinoma.
Yang Q; Zhu W; Gong H
Front Immunol; 2023; 14():1148483. PubMed ID: 37077919
[TBL] [Abstract][Full Text] [Related]
13. Development of metastasis-associated seven gene signature for predicting lung adenocarcinoma prognosis using single-cell RNA sequencing data.
He J; Zhang W; Li F; Yu Y
Math Biosci Eng; 2021 Jul; 18(5):5959-5977. PubMed ID: 34517518
[TBL] [Abstract][Full Text] [Related]
14. Identification of Two Subtypes and Prognostic Characteristics of Lung Adenocarcinoma Based on Pentose Phosphate Metabolic Pathway-Related Long Non-coding RNAs.
Liu C; Wang Y
Front Public Health; 2022; 10():902445. PubMed ID: 35801241
[TBL] [Abstract][Full Text] [Related]
15. By integrating single-cell RNA-seq and bulk RNA-seq in sphingolipid metabolism, CACYBP was identified as a potential therapeutic target in lung adenocarcinoma.
Zhang P; Pei S; Gong Z; Feng Y; Zhang X; Yang F; Wang W
Front Immunol; 2023; 14():1115272. PubMed ID: 36776843
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Characteristic of molecular subtypes in lung adenocarcinoma based on m6A RNA methylation modification and immune microenvironment.
Zhou H; Zheng M; Shi M; Wang J; Huang Z; Zhang H; Zhou Y; Shi J
BMC Cancer; 2021 Aug; 21(1):938. PubMed ID: 34416861
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. NPM1 Is a Prognostic Biomarker Involved in Immune Infiltration of Lung Adenocarcinoma and Associated With m6A Modification and Glycolysis.
Liu XS; Zhou LM; Yuan LL; Gao Y; Kui XY; Liu XY; Pei ZJ
Front Immunol; 2021; 12():724741. PubMed ID: 34335635
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]