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Personalized Medicine in Brain Gliomas: Targeted Therapy, Patient-Derived Tumor Models (Review)
K S Yashin1, D V Yuzhakova2, D A Sachkova3
1Neurosurgeon, Department of Neurosurgery, University Clinic; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia; Assistant, Department of Traumatology and Neurosurgery named after M.V. Kolokoltsev; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia; Oncologist, Polyclinic Department; Nizhny Novgorod Regional Oncologic Dispensary, 11/1 Delovaya St., Nizhny Novgorod, 603126, Russia.
Personalized targeted therapies offer improved brain glioma treatment efficacy. Patient-derived tumor models aid in selecting optimal drug regimens for these challenging brain tumors.
Area of Science:
- Neuro-oncology
- Cancer Therapeutics
- Genomics
Background:
- Gliomas represent the most prevalent primary malignant brain tumors.
- Traditional treatments for gliomas have historically yielded unsatisfactory outcomes.
- Recent advancements include personalized targeted therapies and patient-derived tumor models.
Purpose of the Study:
- To review the molecular and genetic mechanisms driving glioma growth.
- To evaluate the efficacy of personalized approaches versus standard therapies for gliomas.
- To highlight the role of patient-derived tumor models in predicting drug effectiveness.
Main Methods:
- Literature review of molecular and genetic mechanisms in glioma.
- Analysis of personalized targeted therapies for cancer treatment.
- Examination of patient-derived tumor models for drug screening.
Main Results:
- Personalized targeted therapies demonstrate higher efficacy compared to standard treatments for gliomas.
- Patient-derived tumor models show promise for testing diverse antitumor drugs.
- Predicting the effectiveness of specific drug regimens remains a challenge.
Conclusions:
- A personalized approach to glioma treatment shows superior efficacy.
- Patient-derived tumor models are crucial for advancing glioma drug discovery and selection.
- Further research is needed to fully leverage these models for clinical application.
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