1. [Patients with long-term survival in malignant gliomas after photodynamic therapy].
- Author
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Rynda AY, Olyushin VE, Rostovtsev DM, Kukanov KK, Sklyar SS, and Zabrodskaya YM
- Subjects
- Humans, Male, Female, Middle Aged, Retrospective Studies, Adult, Aged, Glioblastoma drug therapy, Glioblastoma mortality, Glioblastoma genetics, Tumor Suppressor Proteins genetics, DNA Modification Methylases genetics, DNA Modification Methylases metabolism, Isocitrate Dehydrogenase genetics, DNA Repair Enzymes genetics, DNA Repair Enzymes metabolism, Glioma drug therapy, Glioma mortality, Glioma genetics, Survival Rate, Life Expectancy, Photochemotherapy methods, Brain Neoplasms drug therapy, Brain Neoplasms mortality
- Abstract
Objective: Analysis of long-lived patients from the group of patients with glioblastomas after using photodynamic therapy in the structure of their complex treatment in order to assess the influence of various factors on their life expectancy., Material and Methods: In total, a single-center, retrospective categorical study analyzed the long-term results of treatment of 63 patients with glioblastoma in the structure of complex treatment including photodynamic therapy. Clinical factors (age, sex, number of cases, preoperative Karnofsky index, location and size of the tumor, radicality of the operation), histological (nuclear polymorphism, mitosis, vascular proliferation, necrosis), immunohistochemical (Ki-67, p53 index) molecular-genetic factors (expression of VEGF, MGMT, IDH, CD34 ), amount of radiation and chemotherapy were analyzed., Results: In the entire group of patients, there was a direct correlation of life expectancy with MGMT status, IDH status, the number of courses of chemotherapy, the age of the patient, and the severity of the first surgical intervention., Conclusion: Clinical features such as age at diagnosis and extent of surgical resection and amount of chemotherapy have predictive value in assessing their effect on life expectancy. Mutations in IDH and MGMT promoter methylation were the most important molecular factors determining long-term patient survival.
- Published
- 2024
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