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1.
Artículo en Inglés | MEDLINE | ID: mdl-33612837

RESUMEN

BACKGROUND: Stroke-like syndrome is defined as a rare, delayed complication of brain oncotherapy. Cases with more favorable brain cancer diagnoses and longer life expectancy have been previously reported, but here we present, for the first time, three long-term survivors of glioblastoma with stroke-like syndromes. METHODS AND RESULTS: Three young or middle-aged patients underwent tumor resection and chemoradiotherapy. They received regular clinical and imaging follow-up with stable neurological status and no signs of tumor recurrence. They exhibited varied signs and symptoms (motor and sensory deficits, aphasia, memory and cognitive disorders, seizures, and headache) accompanied by imaging abnormalities. Stroke-like syndromes developed within 2-5 days and resolved in 2-6 weeks. Diffusion-weighted MRI and T2 brain perfusion abnormalities were demonstrated in all patients. In addition, there was focal T1 MRI contrast enhancement due to blood-brain barrier disruption. In addition to tumor recurrence, classic stroke, encephalitis, metabolic and mitochondrial disorders, and post-seizure swelling should be excluded. The imaging indicated intensive MRI scanning and symptomatic medication (steroids supplemented by antiepileptics, vasoactive agents, etc.) for judicious management. With respect to the course, an invasive procedure was still considered an option. CONCLUSION: All stroke-like syndromes are diagnoses of exclusion. To avoid misinterpretation of imaging findings as glioblastoma recurrence and avert recall oncotherapy or redundant interventions, better understanding of delayed complications of brain tumor therapy is crucial.


Asunto(s)
Neoplasias Encefálicas , Glioblastoma , Accidente Cerebrovascular , Neoplasias Encefálicas/complicaciones , Neoplasias Encefálicas/patología , Neoplasias Encefálicas/terapia , Glioblastoma/radioterapia , Glioblastoma/terapia , Humanos , Imagen por Resonancia Magnética/métodos , Persona de Mediana Edad , Recurrencia Local de Neoplasia , Convulsiones/etiología , Accidente Cerebrovascular/complicaciones , Accidente Cerebrovascular/etiología , Síndrome
2.
Curr Oncol ; 28(2): 1280-1293, 2021 03 21.
Artículo en Inglés | MEDLINE | ID: mdl-33801093

RESUMEN

This prospective population-based study on a group of 132 resected IDH-wildtype (IDH-wt) glioblastoma (GBM) patients assesses the prognostic and predictive value of selected genetic biomarkers and clinical factors for GBM as well as the dependence of these values on the applied therapeutic modalities. The patients were treated in our hospital between June 2006 and June 2015. Clinical data and tumor samples were analyzed to determine the frequencies of TP53, MDM2, EGFR, RB1, BCR, and CCND1 gene aberrations and the duplication/deletion statuses of the 9p21.3, 1p36.3, 19q13.32, and 10p11.1 chromosome regions. Cut-off values distinguishing low (LCN) and high (HCN) copy number status for each marker were defined. Additionally, MGMT promoter methylation and IDH1/2 mutation status were investigated retrospectively. Young age, female gender, Karnofsky scores (KS) above 80, chemoradiotherapy, TP53 HCN, and CCND1 HCN were identified as positive prognostic factors, and smoking was identified as a negative prognostic factor. Cox proportional regression models of the chemoradiotherapy patient group revealed TP53 HCN and CCND1 HCN to be positive prognostic factors for both progression-free survival and overall survival. These results confirmed the influence of key clinical factors (age, KS, adjuvant oncotherapy, and smoking) on survival in GBM IDH-wt patients and demonstrated the prognostic and/or predictive importance of CCND1, MDM2, and 22q12.2 aberrations.


Asunto(s)
Neoplasias Encefálicas , Glioblastoma , Neoplasias Encefálicas/genética , Neoplasias Encefálicas/terapia , Metilación de ADN , Metilasas de Modificación del ADN/genética , Femenino , Glioblastoma/genética , Glioblastoma/terapia , Humanos , Isocitrato Deshidrogenasa/genética , Mutación , Estudios Prospectivos , Estudios Retrospectivos
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