221 related articles for article (PubMed ID: 35919504)
1. Identification of Ten-Gene Related to Lipid Metabolism for Predicting Overall Survival of Breast Invasive Carcinoma.
Wang Z; Wang F
Contrast Media Mol Imaging; 2022; 2022():8348780. PubMed ID: 35919504
[TBL] [Abstract][Full Text] [Related]
2. Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models.
Li L; Liu ZP
J Transl Med; 2021 Dec; 19(1):514. PubMed ID: 34930307
[TBL] [Abstract][Full Text] [Related]
3. A novel prognostic model associated with the overall survival in patients with breast cancer based on lipid metabolism-related long noncoding RNAs.
Shi GJ; Zhou Q; Zhu Q; Wang L; Jiang GQ
J Clin Lab Anal; 2022 Jun; 36(6):e24384. PubMed ID: 35441740
[TBL] [Abstract][Full Text] [Related]
4. An eight-lncRNA signature predicts survival of breast cancer patients: a comprehensive study based on weighted gene co-expression network analysis and competing endogenous RNA network.
Sun M; Wu D; Zhou K; Li H; Gong X; Wei Q; Du M; Lei P; Zha J; Zhu H; Gu X; Huang D
Breast Cancer Res Treat; 2019 May; 175(1):59-75. PubMed ID: 30715658
[TBL] [Abstract][Full Text] [Related]
5. [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]
6. Identification of the prognostic value of ferroptosis-related gene signature in breast cancer patients.
Wang D; Wei G; Ma J; Cheng S; Jia L; Song X; Zhang M; Ju M; Wang L; Zhao L; Xin S
BMC Cancer; 2021 May; 21(1):645. PubMed ID: 34059009
[TBL] [Abstract][Full Text] [Related]
7. Establishment and validation of a novel autophagy-related gene signature for patients with breast cancer.
Du JX; Chen C; Luo YH; Cai JL; Cai CZ; Xu J; Ni XJ; Zhu W
Gene; 2020 Dec; 762():144974. PubMed ID: 32707305
[TBL] [Abstract][Full Text] [Related]
8. A Three-mRNA Signature Associated with Pyrimidine Metabolism for Prognosis of BRCA.
Zhang X; Zhang Q; Xie X; Li Y; Pang Z; Yu T
Biomed Res Int; 2022; 2022():7201963. PubMed ID: 35224098
[TBL] [Abstract][Full Text] [Related]
9. Identification of immune infiltration-related genes as prognostic indicators for hepatocellular carcinoma.
Dai K; Liu C; Guan G; Cai J; Wu L
BMC Cancer; 2022 May; 22(1):496. PubMed ID: 35513781
[TBL] [Abstract][Full Text] [Related]
10. Comprehensive research into prognostic and immune signatures of transcription factor family in breast cancer.
Wu Q; Zheng S; Lin N; Xie X
BMC Med Genomics; 2023 Apr; 16(1):87. PubMed ID: 37098532
[TBL] [Abstract][Full Text] [Related]
11. Identification and Prognostic Value Exploration of Cyclophosphamide (Cytoxan)-Centered Chemotherapy Response-Associated Genes in Breast Cancer.
Du J; Dong Y; Li Y
DNA Cell Biol; 2021 Nov; 40(11):1356-1368. PubMed ID: 34704810
[TBL] [Abstract][Full Text] [Related]
12. Development and Validation of a Prognostic Classifier Based on Lipid Metabolism-Related Genes for Breast Cancer.
Wang N; Gu Y; Li L; Chi J; Liu X; Xiong Y; Zhong C
J Inflamm Res; 2022; 15():3477-3499. PubMed ID: 35726216
[TBL] [Abstract][Full Text] [Related]
13. Identification of Five Immune-Related lncRNAs Predicting Survival and Tumor Microenvironment Characteristics in Breast Cancer.
Xiao R; Yang M; Tan Y; Ding R; Li D
Comput Math Methods Med; 2021; 2021():6676692. PubMed ID: 33727952
[TBL] [Abstract][Full Text] [Related]
14. Prognostic and immune implications of a novel 7-methylguanosine-related microRNA signature in breast invasive carcinoma: from exploration to validation.
Li AY; Xiao HN; Zhao ZY; Xiang C; Chen ZY; Wang PX; Xia Y; Yu B; Li H; Xiao T
J Cancer Res Clin Oncol; 2023 Sep; 149(11):9105-9128. PubMed ID: 37171615
[TBL] [Abstract][Full Text] [Related]
15. Identification of lipid metabolism-related genes as prognostic indicators in papillary thyroid cancer.
Wen S; Luo Y; Wu W; Zhang T; Yang Y; Ji Q; Wu Y; Shi R; Ma B; Xu M; Qu N
Acta Biochim Biophys Sin (Shanghai); 2021 Dec; 53(12):1579-1589. PubMed ID: 34693452
[TBL] [Abstract][Full Text] [Related]
16. Identification of a Transcription Factor Signature That Can Predict Breast Cancer Survival.
Fan C; Du J; Liu N
Comput Math Methods Med; 2021; 2021():2649123. PubMed ID: 33688372
[TBL] [Abstract][Full Text] [Related]
17. A Novel Signature Integrated of Immunoglobulin, Glycosylation and Anti-Viral Genes to Predict Prognosis for Breast Cancer.
Xu S; Liu Y; Ma H; Fang S; Wei S; Li X; Lu Z; Zheng Y; Liu T; Zhu X; Xu D; Pan Y
Front Genet; 2022; 13():834731. PubMed ID: 35432482
[No Abstract] [Full Text] [Related]
18. Development of a novel lipid metabolism-based risk score model in hepatocellular carcinoma patients.
Wang W; Zhang C; Yu Q; Zheng X; Yin C; Yan X; Liu G; Song Z
BMC Gastroenterol; 2021 Feb; 21(1):68. PubMed ID: 33579192
[TBL] [Abstract][Full Text] [Related]
19. An autophagy-related long non-coding RNA prognostic model and related immune research for female breast cancer.
Chen J; Li X; Yan S; Li J; Zhou Y; Wu M; Ding J; Yang J; Yuan Y; Zhu Y; Wu W
Front Oncol; 2022; 12():929240. PubMed ID: 36591508
[TBL] [Abstract][Full Text] [Related]
20. A seven-nuclear receptor-based prognostic signature in breast cancer.
Wu F; Chen W; Kang X; Jin L; Bai J; Zhang H; Zhang X
Clin Transl Oncol; 2021 Jul; 23(7):1292-1303. PubMed ID: 33210236
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
