Combined epidermal growth factor receptor and Beclin1 autophagic protein expression analysis identifies different clinical presentations, responses to chemo- and radiotherapy, and prognosis in glioblastoma.
Paolo TiniGiuseppe BelmonteMarzia ToscanoClelia MiraccoSilvia PalumboPierpaolo PastinaGiuseppe BattagliaValerio NardoneMarie Aimée Gloria Munezero ButoranoArmando MasucciAlfonso CeraseLuigi PirtoliPublished in: BioMed research international (2015)
Dysregulated EGFR in glioblastoma may inactivate the key autophagy protein Beclin1. Each of high EGFR and low Beclin1 protein expression, independently, has been associated with tumor progression and poor prognosis. High (H) compared to low (L) expression of EGFR and Beclin1 is here correlated with main clinical data in 117 patients after chemo- and radiotherapy. H-EGFR correlated with low Karnofsky performance and worse neurological performance status, higher incidence of synchronous multifocality, poor radiological evidence of response, shorter progression disease-free (PDFS), and overall survival (OS). H-Beclin1 cases showed better Karnofsky performance status, higher incidence of objective response, longer PDFS, and OS. A mutual strengthening effect emerges in correlative power of stratified L-EGFR and H-Beclin1 expression with incidence of radiological response after treatment, unifocal disease, and better prognosis, thus identifying an even longer OS group (30 months median OS compared to 18 months in L-EGFR, 15 months in H-Beclin1, and 11 months in all GBs) (P = 0.0001). Combined L-EGFR + H-Beclin1 expression may represent a biomarker in identifying relatively favorable clinical presentations and prognosis, thus envisaging possible EGFR/Beclin1-targeted therapies.
Keyphrases
- epidermal growth factor receptor
- poor prognosis
- tyrosine kinase
- small cell lung cancer
- advanced non small cell lung cancer
- long non coding rna
- risk factors
- locally advanced
- end stage renal disease
- radiation therapy
- binding protein
- cell death
- chronic kidney disease
- photodynamic therapy
- signaling pathway
- newly diagnosed
- oxidative stress
- drug delivery
- rectal cancer
- ejection fraction
- small molecule
- big data
- machine learning
- transcription factor
- amino acid
- squamous cell carcinoma
- electronic health record
- deep learning
- subarachnoid hemorrhage
- cerebral ischemia