scholarly journals The long noncoding RNA H19 promotes tamoxifen resistance in breast cancer via autophagy

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Ji Wang ◽  
Shuduo Xie ◽  
Jingjing Yang ◽  
Hanchu Xiong ◽  
Yunlu Jia ◽  
...  
Sci ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 26
Author(s):  
Carole Ferraro-Peyret ◽  
Marjan E. Askarian-Amiri ◽  
Debina Sarkar ◽  
Wayne R. Joseph ◽  
Herah Hansji ◽  
...  

Endoplasmic reticulum (ENR) stress perturbs cell homeostasis and induces the unfolded protein response (UPR). In breast cancer, this process is activated by oestrogen deprivation and is associated with tamoxifen resistance. We present evidence that the transcription factor SOX2 and the long noncoding RNA SOX2 overlapping transcript (SOX2OT) are upregulated in oestrogen receptor-positive (ER+) breast cancer and in response to oestrogen deprivation. We examined the effect of the UPR on SOX2 and SOX2OT expression and the effect of SOX2OT on UPR pathways in breast cancer cell lines. The induction of the UPR by thapsigargin or glucose deprivation upregulates SOX2OT expression. This upregulation is also shown with the anti-oestrogen 4OH-tamoxifen and mTOR inhibitor everolimus in ER + breast cancer cells that are sensitive to oestrogen deprivation or everolimus treatment. SOX2OT overexpression decreased BiP and PERK expression. This effect of SOX2OT overexpression was confirmed on BiP and PERK pathway by q-PCR. Our results show that a long noncoding RNA regulates the UPR and evince a new function of SOX2OT as a participant of ENR stress reprogramming of breast cancer cells.


2017 ◽  
Vol 79 (2) ◽  
pp. 327-337 ◽  
Author(s):  
Hong-Yan Zhang ◽  
Feng Liang ◽  
Jian-Wei Zhang ◽  
Fei Wang ◽  
Li Wang ◽  
...  

2021 ◽  
Vol 15 (1) ◽  
pp. 43-55
Author(s):  
Chao Yuan ◽  
Hongjun Yuan ◽  
Li Chen ◽  
Miaomiao Sheng ◽  
Wenru Tang

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.


Oncogene ◽  
2021 ◽  
Author(s):  
Pengpeng Zhu ◽  
Fang He ◽  
Yixuan Hou ◽  
Gang Tu ◽  
Qiao Li ◽  
...  

AbstractThe hostile hypoxic microenvironment takes primary responsibility for the rapid expansion of breast cancer tumors. However, the underlying mechanism is not fully understood. Here, using RNA sequencing (RNA-seq) analysis, we identified a hypoxia-induced long noncoding RNA (lncRNA) KB-1980E6.3, which is aberrantly upregulated in clinical breast cancer tissues and closely correlated with poor prognosis of breast cancer patients. The enhanced lncRNA KB-1980E6.3 facilitates breast cancer stem cells (BCSCs) self-renewal and tumorigenesis under hypoxic microenvironment both in vitro and in vivo. Mechanistically, lncRNA KB-1980E6.3 recruited insulin-like growth factor 2 mRNA-binding protein 1 (IGF2BP1) to form a lncRNA KB-1980E6.3/IGF2BP1/c-Myc signaling axis that retained the stability of c-Myc mRNA through increasing binding of IGF2BP1 with m6A-modified c-Myc coding region instability determinant (CRD) mRNA. In conclusion, we confirm that lncRNA KB-1980E6.3 maintains the stemness of BCSCs through lncRNA KB-1980E6.3/IGF2BP1/c-Myc axis and suggest that disrupting this axis might provide a new therapeutic target for refractory hypoxic tumors.


2017 ◽  
Vol 127 (12) ◽  
pp. 4498-4515 ◽  
Author(s):  
Shouyu Wang ◽  
Ke Liang ◽  
Qingsong Hu ◽  
Ping Li ◽  
Jian Song ◽  
...  

2019 ◽  
Vol 145 (9) ◽  
pp. 2478-2487 ◽  
Author(s):  
Liang‐Chih Liu ◽  
Yuan‐Liang Wang ◽  
Pei‐Le Lin ◽  
Xiang Zhang ◽  
Wei‐Chung Cheng ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document