Inhibitors of the Transcription Factor STAT3 Decrease Growth and Induce Immune Response Genes in Models of Malignant Pleural Mesothelioma (MPM).
Moshe LapidotAbigail E CaseDalia LariosHelen I GandlerChengcheng MengIsidora TošićEllen L WeisbergMichael J PoitrasPrafulla C GokhaleCloud P PaweletzKlaus PodarRavi SalgiaSrinivas V SaladiJames D GriffinDavid A FrankRaphael BuenoMartin SattlerPublished in: Cancers (2020)
Malignant pleural mesothelioma (MPM) is an aggressive cancer defined by loss-of-function mutations with few therapeutic options. We examined the contribution of the transcription factor Signal transducer and activator of transcription 3 (STAT3) to cell growth and gene expression in preclinical models of MPM. STAT3 is activated in a variety of tumors and is thought to be required for the maintenance of cancer stem cells. Targeting STAT3 using specific small hairpin RNAs (shRNAs) or with the pharmacologic inhibitors atovaquone or pyrimethamine efficiently reduced cell growth in established cell lines and primary-derived lines while showing minimal effects in nontransformed LP9 mesothelial cells. Moreover, atovaquone significantly reduced viability and tumor growth in microfluidic cultures of primary MPM as well as in an in vivo xenotransplant model. Biological changes were linked to modulation of gene expression associated with STAT3 signaling, including cell cycle progression and altered p53 response. Reflecting the role of STAT3 in inducing localized immune suppression, using both atovaquone and pyrimethamine resulted in the modulation of immunoregulatory genes predicted to enhance an immune response, including upregulation of ICOSLG (Inducible T-Cell Costimulator Ligand or B7H2). Thus, our data strongly support a role for STAT3 inhibitors as anti-MPM therapeutics.
Keyphrases
- cell proliferation
- gene expression
- transcription factor
- cell cycle
- immune response
- dna methylation
- cancer stem cells
- genome wide
- stem cells
- high throughput
- toll like receptor
- dendritic cells
- oxidative stress
- single cell
- machine learning
- squamous cell carcinoma
- young adults
- endoplasmic reticulum stress
- endothelial cells
- cancer therapy
- pi k akt
- artificial intelligence
- lymph node metastasis
- circulating tumor cells
- plasmodium falciparum
- long non coding rna
- label free