210 related articles for article (PubMed ID: 37076991)
1. Significance of cuproptosis-related lncRNA signature in LUAD prognosis and immunotherapy: A machine learning approach.
Yang L; Cui Y; Liang L; Lin J
Thorac Cancer; 2023 Jun; 14(16):1451-1466. PubMed ID: 37076991
[TBL] [Abstract][Full Text] [Related]
2. Establishment of a prognostic signature for lung adenocarcinoma using cuproptosis-related lncRNAs.
Yalimaimaiti S; Liang X; Zhao H; Dou H; Liu W; Yang Y; Ning L
BMC Bioinformatics; 2023 Mar; 24(1):81. PubMed ID: 36879187
[TBL] [Abstract][Full Text] [Related]
3. Prognosis and personalized treatment prediction in lung adenocarcinoma: An
Ma C; Li F; He Z; Zhao S; Yang Y; Gu Z
Front Pharmacol; 2023; 14():1113808. PubMed ID: 36874011
[No Abstract] [Full Text] [Related]
4. A cuproptosis-related lncRNA signature for predicting prognosis and immunotherapy response of lung adenocarcinoma.
Yu S; Tang L; Zhang Q; Li W; Yao S; Cai Y; Cheng H
Hereditas; 2023 Jul; 160(1):31. PubMed ID: 37482612
[TBL] [Abstract][Full Text] [Related]
5. Characterization of cuproptosis-related lncRNA landscape for predicting the prognosis and aiding immunotherapy in lung adenocarcinoma patients.
Sun X; Song J; Lu C; Sun X; Yue H; Bao H; Wang S; Zhong X
Am J Cancer Res; 2023; 13(3):778-801. PubMed ID: 37034212
[TBL] [Abstract][Full Text] [Related]
6. A cuproptosis-related lncRNAs risk model to predict prognosis and guide immunotherapy for lung adenocarcinoma.
Li Q; Wang T; Zhu J; Zhang A; Wu A; Zhou Y; Shi J
Ann Transl Med; 2023 Mar; 11(5):198. PubMed ID: 37007546
[TBL] [Abstract][Full Text] [Related]
7. Comprehensive analysis of a novel cuproptosis-related lncRNA signature associated with prognosis and tumor matrix features to predict immunotherapy in soft tissue carcinoma.
Liu B; Pang K; Feng C; Liu Z; Li C; Zhang H; Liu P; Li Z; He S; Tu C
Front Genet; 2022; 13():1063057. PubMed ID: 36568384
[No Abstract] [Full Text] [Related]
8. A cuproptosis-related long non-coding RNA signature to predict the prognosis and immune microenvironment characterization for lung adenocarcinoma.
Ma S; Zhu J; Wang M; Zhu J; Wang W; Xiong Y; Jiang R; Seetharamu N; Abrão FC; Puthamohan VM; Liu L; Jiang T
Transl Lung Cancer Res; 2022 Oct; 11(10):2079-2093. PubMed ID: 36386454
[TBL] [Abstract][Full Text] [Related]
9. Cuproptosis-related lncRNA predict prognosis and immune response of lung adenocarcinoma.
Wang F; Lin H; Su Q; Li C
World J Surg Oncol; 2022 Sep; 20(1):275. PubMed ID: 36050740
[TBL] [Abstract][Full Text] [Related]
10. A novel defined risk signature of cuproptosis-related long non-coding RNA for predicting prognosis, immune infiltration, and immunotherapy response in lung adenocarcinoma.
Ma C; Li F; Gu Z; Yang Y; Qi Y
Front Pharmacol; 2023; 14():1146840. PubMed ID: 37670938
[No Abstract] [Full Text] [Related]
11. Prediction of prognosis, immune infiltration, and personalized treatment of hepatocellular carcinoma by analysis of cuproptosis-related long noncoding RNAs and verification
Li S; Zhu Z; Lu J; Cao W; Song F; Xiao C; Zhang P; He Z; Weng J; Xu J
Front Oncol; 2023; 13():1159126. PubMed ID: 37746284
[TBL] [Abstract][Full Text] [Related]
12. Construction and validation of a cuproptosis-related lncRNA signature for the prediction of the prognosis of LUAD and LUSC.
Wang Y; Xiao X; Li Y
Sci Rep; 2023 Feb; 13(1):2477. PubMed ID: 36774418
[TBL] [Abstract][Full Text] [Related]
13. Molecular Characterization of Cuproptosis-related lncRNAs: Defining Molecular Subtypes and a Prognostic Signature of Ovarian Cancer.
Li N; Yu K; Huang D; Li S; Zeng D; Li J; Fan L
Biol Trace Elem Res; 2024 Apr; 202(4):1428-1445. PubMed ID: 37528285
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics construction and experimental validation of a cuproptosis-related lncRNA prognostic model in lung adenocarcinoma for immunotherapy response prediction.
Li L; Cai Q; Wu Z; Li X; Zhou W; Lu L; Yi B; Chang R; Zhang H; Cheng Y; Zhang C; Zhang J
Sci Rep; 2023 Feb; 13(1):2455. PubMed ID: 36774446
[TBL] [Abstract][Full Text] [Related]
15. Cuproptosis-related lncRNA signature for prognostic prediction in patients with acute myeloid leukemia.
Zhu Y; He J; Li Z; Yang W
BMC Bioinformatics; 2023 Feb; 24(1):37. PubMed ID: 36737692
[TBL] [Abstract][Full Text] [Related]
16. Identification and Validation of Cuproptosis-Related LncRNA Signatures in the Prognosis and Immunotherapy of Clear Cell Renal Cell Carcinoma Using Machine Learning.
Bai Z; Lu J; Chen A; Zheng X; Wu M; Tan Z; Xie J
Biomolecules; 2022 Dec; 12(12):. PubMed ID: 36551318
[TBL] [Abstract][Full Text] [Related]
17. A prognostic and immunotherapy effectiveness model for pancreatic adenocarcinoma based on cuproptosis-related lncRNAs signature.
Zhang N; Yu X; Sun H; Zhao Y; Wu J; Liu G
Medicine (Baltimore); 2023 Oct; 102(42):e35167. PubMed ID: 37861553
[TBL] [Abstract][Full Text] [Related]
18. Novel cuproptosis-related long non-coding RNA signature to predict prognosis in prostate carcinoma.
Cheng X; Zeng Z; Yang H; Chen Y; Liu Y; Zhou X; Zhang C; Wang G
BMC Cancer; 2023 Jan; 23(1):105. PubMed ID: 36717792
[TBL] [Abstract][Full Text] [Related]
19. Prognostic signature construction and immunotherapy response analysis for Uterine Corpus Endometrial Carcinoma based on cuproptosis-related lncRNAs.
Zhang X; Ye Z; Xiao G; He T
Comput Biol Med; 2023 Jun; 159():106905. PubMed ID: 37060773
[TBL] [Abstract][Full Text] [Related]
20. Cross-talk between necroptosis-related lncRNAs to construct a novel signature and predict the immune landscape of lung adenocarcinoma patients.
Wu J; Song D; Zhao G; Chen S; Ren H; Zhang B
Front Genet; 2022; 13():966896. PubMed ID: 36186456
[No Abstract] [Full Text] [Related]
[Next] [New Search]