Targeting cancer stem cells in medulloblastoma by inhibiting AMBRA1 dual function in autophagy and STAT3 signalling.
Francesca NazioAgnese PoLuana AbballeClaudio BallabioFrancesca Diomedi CamasseiMatteo BordiAntonio CameraSimona CarusoIgnazio CaruanaMarco PezzulloCaterina FerrainaGiacomo MillettiMatteo GianeselloSofia ReddelCarmen Dolores De LucaDonatella CeglieSara MarinelliSilvia CampelloElena PapaleoEvelina MieleAntonella CacchioneAndrea CaraiMaria VinciEnrico VelardiBiagio De AngelisLuca TiberiConcetta QuintarelliAngela MastronuzziElisabetta FerrettiFranco LocatelliFrancesco CecconiPublished in: Acta neuropathologica (2021)
Medulloblastoma (MB) is a childhood malignant brain tumour comprising four main subgroups characterized by different genetic alterations and rate of mortality. Among MB subgroups, patients with enhanced levels of the c-MYC oncogene (MBGroup3) have the poorest prognosis. Here we identify a previously unrecognized role of the pro-autophagy factor AMBRA1 in regulating MB. We demonstrate that AMBRA1 expression depends on c-MYC levels and correlates with Group 3 patient poor prognosis; also, knockdown of AMBRA1 reduces MB stem potential, growth and migration of MBGroup3 stem cells. At a molecular level, AMBRA1 mediates these effects by suppressing SOCS3, an inhibitor of STAT3 activation. Importantly, pharmacological inhibition of autophagy profoundly affects both stem and invasion potential of MBGroup3 stem cells, and a combined anti-autophagy and anti-STAT3 approach impacts the MBGroup3 outcome. Taken together, our data support the c-MYC/AMBRA1/STAT3 axis as a strong oncogenic signalling pathway with significance for both patient stratification strategies and targeted treatments of MBGroup3.
Keyphrases
- poor prognosis
- stem cells
- cell death
- signaling pathway
- endoplasmic reticulum stress
- long non coding rna
- cell proliferation
- oxidative stress
- cancer stem cells
- case report
- cancer therapy
- type diabetes
- cardiovascular disease
- coronary artery disease
- multiple sclerosis
- resting state
- functional connectivity
- cell therapy
- genome wide
- transcription factor
- risk assessment
- copy number
- big data
- young adults
- bone marrow
- climate change
- machine learning
- brain injury
- subarachnoid hemorrhage