Targeted Therapy for EBV-Associated B-cell Neoplasms.
Siddhartha GangulySudhakiranmayi KuraviSatyanarayana AlleboinaGiridhar MudduluruRoy A JensenJoseph P McGuirkRamesh BalusuPublished in: Molecular cancer research : MCR (2018)
Epstein-Barr virus (EBV) is directly implicated in several B-cell lymphoid malignancies. EBV-associated lymphomas are characterized by prominent activation of the NF-κB pathway and targeting this pathway establishes a rationale for a therapeutic approach. The ubiquitin/proteasome signaling plays an essential role in the regulation of the NF-κB pathway. Ixazomib is an FDA-approved, orally bioavailable proteasome inhibitor. Here we report the first preclinical evaluation of ixazomib-mediated growth-inhibitory effects on EBV-infected B-lymphoblastoid cell lines Raji and Daudi. Ixazomib induced apoptosis in these cell lines in a dose-dependent manner. Cell-cycle analysis demonstrated ixazomib treatment induced cell-cycle arrest at the G2-M phase with a concomitant decrease in G0-G1 and S phases. The results further revealed an increase in p53, p21, and p27 levels and a decrease in survivin and c-Myc protein levels. Mechanistically, ixazomib treatment resulted in the accumulation of polyubiquitinated proteins, including phosphorylated IκBα with a significant reduction of p65 subunit nuclear translocation. Altogether, our preclinical data support the rationale for in vivo testing of ixazomib in EBV-associated B-cell neoplasms. IMPLICATIONS: This preclinical study supports the use of oral proteasome inhibitor ixazomib for targeting NF-κB signaling in the treatment of EBV-associated B-cell neoplasms.Visual Overview: http://mcr.aacrjournals.org/content/molcanres/17/4/839/F1.large.jpg.
Keyphrases
- epstein barr virus
- diffuse large b cell lymphoma
- signaling pathway
- cell cycle
- induced apoptosis
- pi k akt
- oxidative stress
- cell cycle arrest
- clinical trial
- endoplasmic reticulum stress
- cell proliferation
- lps induced
- cancer therapy
- bone marrow
- machine learning
- inflammatory response
- deep learning
- electronic health record
- big data
- diabetic rats
- immune response
- smoking cessation
- replacement therapy
- protein kinase
- amino acid
- endothelial cells