EGR1 Mediates Riluzole-Induced Apoptosis in Osteosarcoma via the Yap/p73-Bax Signaling Axis
Azeem, S. M.; ChandThakuri, S.; Rao, P. P.; Abbasi, T.; McFarlane, J.; Munira, R.; Porshe, S.; Rajasekhar, V.; Healey, J. H.; Mahajan, S. S.
Show abstract
Osteosarcoma (OS), although rare, is the most common primary bone cancer, primarily affecting individuals aged 10-30 years. Despite therapeutic advances, survival rates have remained stagnant for decades. Recent studies show that Riluzole, a glutamate receptor antagonist, induces apoptosis in OS cells both in vitro and in vivo. Our previous work demonstrated that Riluzole increases reactive oxygen species (ROS), activating c-Abl kinase, which phosphorylates Yes-associated protein (Yap) at tyrosine 357. This modification promotes nuclear translocation of Yap and interaction with p73, enhancing Bax expression and inducing apoptosis. Early Growth Response 1 (EGR1), a zinc finger transcription factor often linked to apoptosis in other cancers, is significantly downregulated in OS. Here, we investigated the role of EGR1 in Riluzole-mediated apoptosis across OS cell lines and patient-derived xenografts (PDX). In this study, we show that Riluzole upregulates EGR1 expression in all OS cell lines. Chromatin immunoprecipitation followed by qPCR confirmed that EGR1 directly binds to the Bax promoter along with Yap/p73, enhancing Bax expression. Immunohistochemistry of in vivo xenograft tumors from Riluzole-treated mice revealed increased EGR1 and cleaved caspase-3 levels, indicating elevated apoptosis, while reduced NUMA expression suggested diminished tumor proliferation. Together, these findings reveal a novel mechanism where Riluzole promotes apoptosis through upregulation of EGR1, which then cooperates with YAP/p73 to activate Bax expression. These insights establish Riluzole as a promising therapeutic intervention for OS treatment through modulation of the EGR1/Yap/p73/Bax signaling axis.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Comprehensive Live-cell Imaging Analysis of Cryptotanshinone and Synergistic Drug-Screening Effects in Various Human and Canine Cancer Cell Lines 95%
- Changes in the tumor microenvironment and treatment outcome in glioblastoma: A pilot study 95%
- Evaluation of deacetylase inhibition in metaplastic breast carcinoma using multiple derivations of preclinical models of a new patient-derived tumor 95%
Similar papers in this journal
- mTOR inhibitors as radiosensitizers in neuroendocrine neoplasms 94%
- A pro-oxidant combination of resveratrol and copper down-regulates hallmarks of cancer and immune checkpoints in patients with advanced oral cancer: Results of an exploratory study (RESCU 004) 94%
- Augmentation of extracellular ATP synergizes with chemotherapy in triple negative breast cancer 94%
Similar papers in this journal
- Synthetic lethality screening identifies FDA-approved drugs that overcome ATP7B-mediated tolerance of tumor cells to cisplatin 93%
- The MEK1/2 pathway as a therapeutic target in high-grade serous ovarian carcinoma 93%
- The TLK1-MK5 axis regulates motility, invasion, and metastasis of prostate cancer cells 93%
Similar papers in this journal
- MEK reduces cancer-specific PpIX accumulation through the RSK-ABCB1 and HIF-1α-FECH axes 94%
- Chemogenomic screening Identifies the Hsp70 Co-chaperone HDJ2 as a Hub for Anticancer Drug Resistance 94%
- Interferon-γ Increases Sensitivity to Chemotherapy and Provides Immunotherapy Targets in Models of Metastatic Castration-Resistant Prostate Cancer 93%
Similar papers in this journal
- Inhibition of DKK-1 by WAY262611 Inhibits Osteosarcoma Metastasis 96%
- Anticancer efficacy of KRASG12C inhibitors is potentiated by PAK4 inhibitor KPT9274 in preclinical models of KRASG12C mutant pancreatic and lung cancers 93%
- Targeting dormant ovarian cancer cells in vitro and in an in vivo model of platinum resistance 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.