Rapalink-1 Targets Glioblastoma Stem Cells and Acts Synergistically with Tumor Treating Fields to Reduce Resistance against Temozolomide.
Andres Vargas-ToscanoAnn-Christin NickelGuanzhang LiMarcel Alexander KampSajjad MuhammadGabriel LeprivierEllen FritscheRoger A BarkerMichael SabelHans-Jakob SteigerWei ZhangDaniel HänggiUlf Dietrich KahlertPublished in: Cancers (2020)
Glioblastoma (GBM) is a lethal disease with limited clinical treatment options available. Recently, a new inhibitor targeting the prominent cancer signaling pathway mTOR was discovered (Rapalink-1), but its therapeutic potential on stem cell populations of GBM is unknown. We applied a collection of physiological relevant organoid-like stem cell models of GBM and studied the effect of RL1 exposure on various cellular features as well as on the expression of mTOR signaling targets and stem cell molecules. We also undertook combination treatments with this agent and clinical GBM treatments tumor treating fields (TTFields) and the standard-of-care drug temozolomide, TMZ. Low nanomolar (nM) RL1 treatment significantly reduced cell growth, proliferation, migration, and clonogenic potential of our stem cell models. It acted synergistically to reduce cell growth when applied in combination with TMZ and TTFields. We performed an in silico analysis from the molecular data of diverse patient samples to probe for a relationship between the expression of mTOR genes, and mesenchymal markers in different GBM cohorts. We supported the in silico results with correlative protein data retrieved from tumor specimens. Our study further validates mTOR signaling as a druggable target in GBM and supports RL1, representing a promising therapeutic target in brain oncology.
Keyphrases
- stem cells
- signaling pathway
- cell proliferation
- poor prognosis
- palliative care
- healthcare
- cell therapy
- electronic health record
- big data
- molecular docking
- binding protein
- case report
- epithelial mesenchymal transition
- papillary thyroid
- emergency department
- white matter
- newly diagnosed
- machine learning
- genome wide
- gene expression
- quality improvement
- small molecule
- data analysis
- cancer therapy
- climate change
- induced apoptosis
- subarachnoid hemorrhage
- lymph node metastasis
- squamous cell
- replacement therapy
- artificial intelligence
- fine needle aspiration
- fluorescent probe