225 related articles for article (PubMed ID: 34408553)
1. Comprehensive Analysis of Metabolic Genes in Breast Cancer Based on Multi-Omics Data.
Hua Y; Gao L; Li X
Pathol Oncol Res; 2021; 27():1609789. PubMed ID: 34408553
[No Abstract] [Full Text] [Related]
2. Identification of key modules and genes associated with breast cancer prognosis using WGCNA and ceRNA network analysis.
Yin X; Wang P; Yang T; Li G; Teng X; Huang W; Yu H
Aging (Albany NY); 2020 Dec; 13(2):2519-2538. PubMed ID: 33318294
[TBL] [Abstract][Full Text] [Related]
3. Identification of a 6-gene signature for the survival prediction of breast cancer patients based on integrated multi-omics data analysis.
Mo W; Ding Y; Zhao S; Zou D; Ding X
PLoS One; 2020; 15(11):e0241924. PubMed ID: 33170908
[TBL] [Abstract][Full Text] [Related]
4. KMT2C is a potential biomarker of prognosis and chemotherapy sensitivity in breast cancer.
Liu X; Qiu R; Xu M; Meng M; Zhao S; Ji J; Yang Y
Breast Cancer Res Treat; 2021 Sep; 189(2):347-361. PubMed ID: 34240274
[TBL] [Abstract][Full Text] [Related]
5. Identification of potential prognostic biomarkers for breast cancer using WGCNA and PPI integrated techniques.
Zheng G; Zhang C; Zhong C
Ann Diagn Pathol; 2021 Feb; 50():151675. PubMed ID: 33291061
[TBL] [Abstract][Full Text] [Related]
6. Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival.
Suo C; Hrydziuszko O; Lee D; Pramana S; Saputra D; Joshi H; Calza S; Pawitan Y
Bioinformatics; 2015 Aug; 31(16):2607-13. PubMed ID: 25810432
[TBL] [Abstract][Full Text] [Related]
7. Co-expression network analysis identified candidate biomarkers in association with progression and prognosis of breast cancer.
Zhou Q; Ren J; Hou J; Wang G; Ju L; Xiao Y; Gong Y
J Cancer Res Clin Oncol; 2019 Sep; 145(9):2383-2396. PubMed ID: 31280346
[TBL] [Abstract][Full Text] [Related]
8. Gene expression and DNA methylation analyses suggest that immune process-related ADCY6 is a prognostic factor of luminal-like breast cancer.
Li W; Sang M; Hao X; Jia L; Wang Y; Shan B
J Cell Biochem; 2020 Jul; 121(7):3537-3546. PubMed ID: 31886586
[TBL] [Abstract][Full Text] [Related]
9. Screening of key methylation-driven genes CDO1 in breast cancer based on WGCNA.
Tu S; Zhang H; Qu X
Cancer Biomark; 2022; 34(4):571-582. PubMed ID: 35342080
[TBL] [Abstract][Full Text] [Related]
10. Identification of Methylation Markers and Differentially Expressed Genes with Prognostic Value in Breast Cancer.
Wu J; Zhang Y; Li M
J Comput Biol; 2019 Dec; 26(12):1394-1408. PubMed ID: 31290690
[TBL] [Abstract][Full Text] [Related]
11. Investigation of lipid metabolism dysregulation and the effects on immune microenvironments in pan-cancer using multiple omics data.
Hao Y; Li D; Xu Y; Ouyang J; Wang Y; Zhang Y; Li B; Xie L; Qin G
BMC Bioinformatics; 2019 May; 20(Suppl 7):195. PubMed ID: 31074374
[TBL] [Abstract][Full Text] [Related]
12. A seven-DNA methylation signature as a novel prognostic biomarker in breast cancer.
Tao C; Luo R; Song J; Zhang W; Ran L
J Cell Biochem; 2020 Mar; 121(3):2385-2393. PubMed ID: 31646666
[TBL] [Abstract][Full Text] [Related]
13. Identification of prognostic biomarkers for breast cancer based on miRNA and mRNA co-expression network.
Yao Y; Liu R; Gao C; Zhang T; Qi L; Liu G; Zhang W; Wang X; Li J; Li J; Sun C
J Cell Biochem; 2019 Sep; 120(9):15378-15388. PubMed ID: 31037764
[TBL] [Abstract][Full Text] [Related]
14. Low mutation and neoantigen burden and fewer effector tumor infiltrating lymphocytes correlate with breast cancer metastasization to lymph nodes.
Wang Z; Liu W; Chen C; Yang X; Luo Y; Zhang B
Sci Rep; 2019 Jan; 9(1):253. PubMed ID: 30670769
[TBL] [Abstract][Full Text] [Related]
15. Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis.
Yi L; Luo P; Zhang J
J Cell Biochem; 2019 Sep; 120(9):16229-16243. PubMed ID: 31081184
[TBL] [Abstract][Full Text] [Related]
16. Screening of Prognostic Factors in Early-Onset Breast Cancer.
Yu Z; He Q; Xu G
Technol Cancer Res Treat; 2020; 19():1533033819893670. PubMed ID: 32028860
[TBL] [Abstract][Full Text] [Related]
17. A novel immune-related prognostic index for predicting breast cancer overall survival.
Yu X; Guo J; Zhou Q; Huang W; Xu C; Long X
Breast Cancer; 2021 Mar; 28(2):434-447. PubMed ID: 33146847
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatic Analysis of Immune Significance of RYR2 Mutation in Breast Cancer.
Xu Z; Xiang L; Wang R; Xiong Y; Zhou H; Gu H; Wang J; Peng L
Biomed Res Int; 2021; 2021():8072796. PubMed ID: 34888385
[TBL] [Abstract][Full Text] [Related]
19. Bioinformatic profiling of prognosis-related genes in the breast cancer immune microenvironment.
Bai F; Jin Y; Zhang P; Chen H; Fu Y; Zhang M; Weng Z; Wu K
Aging (Albany NY); 2019 Nov; 11(21):9328-9347. PubMed ID: 31715586
[TBL] [Abstract][Full Text] [Related]
20. NEFM DNA methylation correlates with immune infiltration and survival in breast cancer.
Li D; Zhao W; Zhang X; Lv H; Li C; Sun L
Clin Epigenetics; 2021 May; 13(1):112. PubMed ID: 34001208
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]