374 related articles for article (PubMed ID: 33536349)
1. Tumor microenvironment characterization in triple-negative breast cancer identifies prognostic gene signature.
Qin Y; Deng J; Zhang L; Yuan J; Yang H; Li Q
Aging (Albany NY); 2021 Feb; 13(4):5485-5505. PubMed ID: 33536349
[TBL] [Abstract][Full Text] [Related]
2. Identification of m6A modification patterns and development of m6A-hypoxia prognostic signature to characterize tumor microenvironment in triple-negative breast cancer.
Shen X; Zhong J; He J; Han J; Chen N
Front Immunol; 2022; 13():978092. PubMed ID: 36105819
[TBL] [Abstract][Full Text] [Related]
3. Multi-Omics Profiling Reveals Distinct Microenvironment Characterization and Suggests Immune Escape Mechanisms of Triple-Negative Breast Cancer.
Xiao Y; Ma D; Zhao S; Suo C; Shi J; Xue MZ; Ruan M; Wang H; Zhao J; Li Q; Wang P; Shi L; Yang WT; Huang W; Hu X; Yu KD; Huang S; Bertucci F; Jiang YZ; Shao ZM;
Clin Cancer Res; 2019 Aug; 25(16):5002-5014. PubMed ID: 30837276
[TBL] [Abstract][Full Text] [Related]
4. Research and experimental verification on the mechanisms of cellular senescence in triple-negative breast cancer.
Cao T; Huang M; Huang X; Tang T
PeerJ; 2024; 12():e16935. PubMed ID: 38435998
[TBL] [Abstract][Full Text] [Related]
5. A combined hypoxia and immune gene signature for predicting survival and risk stratification in triple-negative breast cancer.
Yang X; Weng X; Yang Y; Zhang M; Xiu Y; Peng W; Liao X; Xu M; Sun Y; Liu X
Aging (Albany NY); 2021 Aug; 13(15):19486-19509. PubMed ID: 34341184
[TBL] [Abstract][Full Text] [Related]
6. Development and verification of a novel immunogenic cell death-related signature for predicting the prognosis and immune infiltration in triple-negative breast cancer.
Li J; Li Z; Yang W; Pan J; You H; Yang L; Zhang X
Cancer Rep (Hoboken); 2024 Mar; 7(3):e2007. PubMed ID: 38425247
[TBL] [Abstract][Full Text] [Related]
7. Landscape of toll-like receptors expression in tumor microenvironment of triple negative breast cancer (TNBC): Distinct roles of TLR4 and TLR8.
Roychowdhury A; Jondhale M; Saldanha E; Ghosh D; Kumar Panda C; Chandrani P; Mukherjee N
Gene; 2021 Aug; 792():145728. PubMed ID: 34022297
[TBL] [Abstract][Full Text] [Related]
8. A novel fatty-acid metabolism-based classification for triple negative breast cancer.
Yang X; Tang W; He Y; An H; Wang J
Aging (Albany NY); 2023 Feb; 15(4):1177-1198. PubMed ID: 36880837
[TBL] [Abstract][Full Text] [Related]
9. Identification of a Gene Expression Signature to Predict the Risk of Early Recurrence and the Degree of Immune Cell Infiltration in Triple-negative Breast Cancer.
Sato K; Miura K; Tamori S; Akimoto K
Cancer Genomics Proteomics; 2024; 21(3):316-326. PubMed ID: 38670590
[TBL] [Abstract][Full Text] [Related]
10. Regulatory T cells are associated with the tumor immune microenvironment and immunotherapy response in triple-negative breast cancer.
Huang P; Zhou X; Zheng M; Yu Y; Jin G; Zhang S
Front Immunol; 2023; 14():1263537. PubMed ID: 37767092
[TBL] [Abstract][Full Text] [Related]
11. Turning up a new pattern: Identification of cancer-associated fibroblast-related clusters in TNBC.
Xie J; Zheng S; Zou Y; Tang Y; Tian W; Wong CW; Wu S; Ou X; Zhao W; Cai M; Xie X
Front Immunol; 2022; 13():1022147. PubMed ID: 36275659
[TBL] [Abstract][Full Text] [Related]
12. A novel model associated with tumor microenvironment on predicting prognosis and immunotherapy in triple negative breast cancer.
Zhang J; Zhang M; Tian Q; Yang J
Clin Exp Med; 2023 Nov; 23(7):3867-3881. PubMed ID: 37219794
[TBL] [Abstract][Full Text] [Related]
13. Unraveling Triple-Negative Breast Cancer Tumor Microenvironment Heterogeneity: Towards an Optimized Treatment Approach.
Bareche Y; Buisseret L; Gruosso T; Girard E; Venet D; Dupont F; Desmedt C; Larsimont D; Park M; Rothé F; Stagg J; Sotiriou C
J Natl Cancer Inst; 2020 Jul; 112(7):708-719. PubMed ID: 31665482
[TBL] [Abstract][Full Text] [Related]
14. Integrated analysis of single-cell RNA-seq and bulk RNA-seq unravels tumour heterogeneity plus M2-like tumour-associated macrophage infiltration and aggressiveness in TNBC.
Bao X; Shi R; Zhao T; Wang Y; Anastasov N; Rosemann M; Fang W
Cancer Immunol Immunother; 2021 Jan; 70(1):189-202. PubMed ID: 32681241
[TBL] [Abstract][Full Text] [Related]
15. Comprehensive Transcriptome Profiling Reveals Multigene Signatures in Triple-Negative Breast Cancer.
Liu YR; Jiang YZ; Xu XE; Hu X; Yu KD; Shao ZM
Clin Cancer Res; 2016 Apr; 22(7):1653-62. PubMed ID: 26813360
[TBL] [Abstract][Full Text] [Related]
16. Prognostic analysis of cuproptosis-related gene in triple-negative breast cancer.
Sha S; Si L; Wu X; Chen Y; Xiong H; Xu Y; Liu W; Mei H; Wang T; Li M
Front Immunol; 2022; 13():922780. PubMed ID: 35979353
[TBL] [Abstract][Full Text] [Related]
17. Natural killer cell-related prognostic risk model predicts prognosis and treatment outcomes in triple-negative breast cancer.
Liu Z; Ding M; Qiu P; Pan K; Guo Q
Front Immunol; 2023; 14():1200282. PubMed ID: 37520534
[TBL] [Abstract][Full Text] [Related]
18. Prognostic and predictive value of NanoString-based immune-related gene signatures in a neoadjuvant setting of triple-negative breast cancer: relationship to tumor-infiltrating lymphocytes.
Lee HJ; Lee JJ; Song IH; Park IA; Kang J; Yu JH; Ahn JH; Gong G
Breast Cancer Res Treat; 2015 Jun; 151(3):619-27. PubMed ID: 26006068
[TBL] [Abstract][Full Text] [Related]
19. CDKN2A-mediated molecular subtypes characterize the hallmarks of tumor microenvironment and guide precision medicine in triple-negative breast cancer.
Cheng T; Wu Y; Liu Z; Yu Y; Sun S; Guo M; Sun B; Huang C
Front Immunol; 2022; 13():970950. PubMed ID: 36052076
[TBL] [Abstract][Full Text] [Related]
20. A Machine Learning Model to Predict the Triple Negative Breast Cancer Immune Subtype.
Chen Z; Wang M; De Wilde RL; Feng R; Su M; Torres-de la Roche LA; Shi W
Front Immunol; 2021; 12():749459. PubMed ID: 34603338
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
