199 related articles for article (PubMed ID: 37588985)
1. Identification of fibroblast-related genes based on single-cell and machine learning to predict the prognosis and endocrine metabolism of pancreatic cancer.
Xu Y; Chen X; Liu N; Chu Z; Wang Q
Front Endocrinol (Lausanne); 2023; 14():1201755. PubMed ID: 37588985
[TBL] [Abstract][Full Text] [Related]
2. Identification of novel potential homologous repair deficiency-associated genes in pancreatic adenocarcinoma via WGCNA coexpression network analysis and machine learning.
Liu C; Fang J; Kang W; Yang Y; Yu C; Chen H; Zhang Y; Ouyang H
Cell Cycle; 2023 Nov; 22(21-22):2392-2408. PubMed ID: 38124367
[TBL] [Abstract][Full Text] [Related]
3. Development and Validation of an Inflammatory Response-Related Gene Signature for Predicting the Prognosis of Pancreatic Adenocarcinoma.
Deng ZL; Zhou DZ; Cao SJ; Li Q; Zhang JF; Xie H
Inflammation; 2022 Aug; 45(4):1732-1751. PubMed ID: 35322324
[TBL] [Abstract][Full Text] [Related]
4. Identification of the Real Hub Gene and Construction of a Novel Prognostic Signature for Pancreatic Adenocarcinoma Based on the Weighted Gene Co-expression Network Analysis and Least Absolute Shrinkage and Selection Operator Algorithms.
Yuan Q; Ren J; Wang Z; Ji L; Deng D; Shang D
Front Genet; 2021; 12():692953. PubMed ID: 34490033
[No Abstract] [Full Text] [Related]
5. 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]
6. Identification of a Four Cancer Stem Cell-Related Gene Signature and Establishment of a Prognostic Nomogram Predicting Overall Survival of Pancreatic Adenocarcinoma.
Li S; Chen R; Luo W; Lin J; Chen Y; Wang Z; Lin W; Li B; Wang J; Yang J
Comb Chem High Throughput Screen; 2022; 25(12):2070-2081. PubMed ID: 35048799
[TBL] [Abstract][Full Text] [Related]
7. System analysis based on the pyroptosis-related genes identifies GSDMC as a novel therapy target for pancreatic adenocarcinoma.
Yan C; Niu Y; Li F; Zhao W; Ma L
J Transl Med; 2022 Oct; 20(1):455. PubMed ID: 36199146
[TBL] [Abstract][Full Text] [Related]
8. Integrate analysis of the promote function of Cell division cycle-associated protein family to pancreatic adenocarcinoma.
Xing C; Wang Z; Zhu Y; Zhang C; Liu M; Hu X; Chen W; Du Y
Int J Med Sci; 2021; 18(3):672-684. PubMed ID: 33437202
[No Abstract] [Full Text] [Related]
9. Identification of a Five-Gene Prognostic Signature Related to B Cells Infiltration in Pancreatic Adenocarcinoma.
Tang S; Huang X; Jiang H; Qin S
Int J Gen Med; 2021; 14():5051-5068. PubMed ID: 34511988
[TBL] [Abstract][Full Text] [Related]
10. A Novel Cuproptosis-Associated Gene Signature to Predict Prognosis in Patients with Pancreatic Cancer.
Du Y; Jiang W; Hou S; Chen Z; Zhou W
Biomed Res Int; 2023; 2023():3419401. PubMed ID: 36714025
[TBL] [Abstract][Full Text] [Related]
11. Identification of Prognostic Immune-Related Genes in Pancreatic Adenocarcinoma and Establishment of a Prognostic Nomogram: A Bioinformatic Study.
Wu G; Deng Z; Jin Z; Wang J; Xu B; Zeng J; Peng M; Wen Z; Guo Y
Biomed Res Int; 2020; 2020():1346045. PubMed ID: 32596278
[TBL] [Abstract][Full Text] [Related]
12. Mitochondrial energy metabolism-related gene signature as a prognostic indicator for pancreatic adenocarcinoma.
Ma Y; Tang R; Huang P; Li D; Liao M; Gao S
Front Pharmacol; 2024; 15():1332042. PubMed ID: 38572434
[No Abstract] [Full Text] [Related]
13. Integrated analysis identifies cuproptosis-related gene DLAT and its competing endogenous RNAs network to predict the prognosis of pancreatic adenocarcinoma patients.
Zhou C; Jin L; Yu J; Gao Z
Medicine (Baltimore); 2024 Mar; 103(9):e37322. PubMed ID: 38428843
[TBL] [Abstract][Full Text] [Related]
14. Molecular subtyping based on TRP family and prognostic assessment for TRP-associated lncRNAs in pancreatic adenocarcinoma.
Li L; Xiao Z; He P; Zou W; Deng Z; Zhang G; Liu R
BMC Gastroenterol; 2022 Nov; 22(1):454. PubMed ID: 36371178
[TBL] [Abstract][Full Text] [Related]
15. Construction of a cancer-associated fibroblasts-related long non-coding RNA signature to predict prognosis and immune landscape in pancreatic adenocarcinoma.
Ye Y; Zhao Q; Wu Y; Wang G; Huang Y; Sun W; Zhang M
Front Genet; 2022; 13():989719. PubMed ID: 36212154
[No Abstract] [Full Text] [Related]
16. Development and validation of a novel N6-methyladenosine (m6A)-related multi- long non-coding RNA (lncRNA) prognostic signature in pancreatic adenocarcinoma.
Yuan Q; Ren J; Li L; Li S; Xiang K; Shang D
Bioengineered; 2021 Dec; 12(1):2432-2448. PubMed ID: 34233576
[TBL] [Abstract][Full Text] [Related]
17. Identification of an autophagy-related gene signature for predicting prognosis and immune activity in pancreatic adenocarcinoma.
Deng J; Zhang Q; Lv L; Ma P; Zhang Y; Zhao N; Zhang Y
Sci Rep; 2022 Apr; 12(1):7006. PubMed ID: 35488119
[TBL] [Abstract][Full Text] [Related]
18. Characterization of tumor microenvironment and programmed death-related genes to identify molecular subtypes and drug resistance in pancreatic cancer.
Yu L; He R; Cui Y
Front Pharmacol; 2023; 14():1146280. PubMed ID: 37007021
[No Abstract] [Full Text] [Related]
19.
Kuang W; Wang X; Ding J; Li J; Ji M; Chen W; Wang L; Yang P
Front Immunol; 2022; 13():805311. PubMed ID: 35154122
[TBL] [Abstract][Full Text] [Related]
20. Development and validation of a novel glycolysis-related risk signature for predicting survival in pancreatic adenocarcinoma.
Li A; Hou S; Chen J; Jiang Y
Clin Chim Acta; 2021 Jul; 518():156-161. PubMed ID: 33775699
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
