Long noncoding RNA Linc00339 promotes triple‐negative breast cancer progression through miR‐377‐3p/HOXC6 signaling pathway

2019 ◽  
Vol 234 (8) ◽  
pp. 13303-13317 ◽  
Author(s):  
Xiaolong Wang ◽  
Tong Chen ◽  
Yan Zhang ◽  
Ning Zhang ◽  
Chen Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Signaling Pathway ◽  
Cancer Progression ◽  
Triple Negative Breast Cancer ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Triple Negative ◽  
Breast Cancer Progression

scholarly journals The endogenous retrovirus-derived long noncoding RNA TROJAN promotes triple-negative breast cancer progression via ZMYND8 degradation

2019 ◽  
Vol 5 (3) ◽  
pp. eaat9820 ◽  
Author(s):  
Xi Jin ◽  
Xiao-En Xu ◽  
Yi-Zhou Jiang ◽  
Yi-Rong Liu ◽  
Wei Sun ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Progression ◽  
Triple Negative Breast Cancer ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Triple Negative ◽  
Endogenous Retrovirus ◽  
Endogenous Retroviruses ◽  
Clinical Samples

Human endogenous retroviruses (HERVs) play pivotal roles in the development of breast cancer. However, the detailed mechanisms of noncoding HERVs remain elusive. Here, our genome-wide transcriptome analysis of HERVs revealed that a primate long noncoding RNA, which we dubbed TROJAN, was highly expressed in human triple-negative breast cancer (TNBC). TROJAN promoted TNBC proliferation and invasion and indicated poor patient outcomes. We further confirmed that TROJAN could bind to ZMYND8, a metastasis-repressing factor, and increase its degradation through the ubiquitin-proteasome pathway by repelling ZNF592. TROJAN also epigenetically up-regulated metastasis-related genes in multiple cell lines. Correlations between TROJAN and ZMYND8 were subsequently confirmed in clinical samples. Furthermore, our study verified that antisense oligonucleotide therapy targeting TROJAN substantially suppressed TNBC progression in vivo. In conclusion, the long noncoding RNA TROJAN promotes TNBC progression and serves as a potential therapeutic target.

A novel three-long noncoding RNA risk score system for the prognostic prediction of triple-negative breast cancer

2021 ◽  
Vol 15 (1) ◽  
pp. 43-55
Author(s):  
Chao Yuan ◽  
Hongjun Yuan ◽  
Li Chen ◽  
Miaomiao Sheng ◽  
Wenru Tang
Keyword(s):  
Breast Cancer ◽  
Risk Score ◽  
Triple Negative Breast Cancer ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Triple Negative ◽  
Cox Regression ◽  
Characteristic Curve ◽  
Gene Expression Omnibus ◽  
Prognostic Prediction

Background: Triple-negative breast cancer (TNBC) is characterized by fast tumor increase, rapid recurrence and natural metastasis. We aimed to identify a genetic signature for predicting the prognosis of TNBC. Materials & methods: We conducted a weighted correlation network analysis of datasets from the Gene Expression Omnibus. Multivariate Cox regression was used to construct a risk score model. Results: The multi-factor risk scoring model was meaningfully associated with the prognosis of patients with TBNC. The predictive power of the model was demonstrated by the time-dependent receiver operating characteristic curve and Kaplan–Meier curve, and verified using a validation set. Conclusion: We established a long noncoding RNA-based model for the prognostic prediction of TNBC.

Regulatory T cells: Their role in triple‐negative breast cancer progression and metastasis

Cancer ◽  
2022 ◽  
Author(s):  
Rama Rao Malla ◽  
Padmaraju Vasudevaraju ◽  
Rahul Kumar Vempati ◽  
Marni Rakshmitha ◽  
Neha Merchant ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Regulatory T Cells ◽  
Cancer Progression ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Breast Cancer Progression
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