Progression-free survival after first recurrence in patients with glioblastoma.

S. M. Sklyar, N. E. Voinov, A. Ulitin, M. Matsko
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Abstract

Relevance. Despite all the treatment glioblastoma recurs as an aggressive and therapy-resistant tumor, and patients quickly die from these neoplasms. The study of glioblastoma recurrence processes and search for prognostic factors of the disease should lead to the improvement of survival rates of patients with this pathology. Purpose of the study. To study the influence of clinical and molecular-genetic factors on the median second recurrence-free period. Materials and methods. Progression-free survival after first recurrence in 34 patients aged 28 to 81 years with recurrent glioblastoma was analyzed. The diagnosis was established according to the WHO 2021 classification of CNS tumors. In each observation we studied such clinical parameters as patient’s age, functional status according to the Karnovsky scale pre- and postoperatively, peculiarities of neuroimaging picture (prevalence of tumor process, localization of recurrence, tumor volume), conducted treatment and molecular-genetic characteristics of the tumor (determination of mRNA expression level of genes: MGMT, VEGF, PDGFRA, β-tubulin III, ERCC-1, TOP2A). Results. Among the clinical and demographic characteristics, the median of the survival was influenced by the patients’ age and functional status after surgery. The median of the survival was more than 2 times higher in the group of patients under 50 years old, compared to patients over 50 years old (18.5 vs 8 weeks). The dependence of the median of the survival on the post- operative functional status (according to the Karnovsky scale) was determined (p = 0.001). The median of the survival in case of a single brain lobe lesion was more than 5 times higher than in case of widespread tumor process, though without statistical reliability (p = 0.09, 21.5 vs 4 weeks). Survival rates were higher when recurrence was localized within 2 cm of the area of removal of the primary neoplasm. After disease progression, the MGMT gene lost its predictive value. Patients with low expression of the TOR2A gene had a higher survival rate than those with medium and high expression (47.5 vs 3 weeks, p = 0.001; 47.5 vs 22.5 weeks, p = 0.06). The median of survival was higher than at high levels at low and medium PDGFRA gene expression levels (29 vs 0 weeks, p = 0.04; 21 vs 0 weeks; p = 0.05, respectively). Maximum survival rates were recorded in the group of patients after total and subtotal removal of tumor recurrence (22 and 18.5 weeks, p = 0.05). Administration of second-line chemotherapy with temozolomide statistically significantly increased the median of the second BRS (p = 0.01). Conclusion. Recurrent glioblastomas are characterized by an extremely aggressive course. Therefore, such prognostic factors as patient age, degree of tumor resection, tumor process prevalence, degree of tumor resection and 2nd line chemotherapy come to the forefront. It should be noted that the MGMT gene loses its predictive value during disease progression, while the TOR2A gene and PDGFRA gene become prognostic markers.
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胶质母细胞瘤患者首次复发后的无进展生存期。
相关性。尽管接受了各种治疗,胶质母细胞瘤仍会复发,这是一种具有侵袭性和耐药性的肿瘤,患者很快就会死于这种肿瘤。对胶质母细胞瘤复发过程的研究以及对该疾病预后因素的探索,将有助于提高该病症患者的生存率。研究目的研究临床和分子遗传因素对第二次无复发期中位数的影响。材料和方法。分析了 34 名年龄在 28 至 81 岁之间的复发性胶质母细胞瘤患者首次复发后的无进展生存期。诊断是根据世界卫生组织 2021 年中枢神经系统肿瘤分类确定的。在每次观察中,我们都研究了患者的年龄、术前和术后的功能状态(根据卡诺夫斯基量表)、神经影像的特殊性(肿瘤过程的发生率、复发的位置、肿瘤体积)、进行的治疗和肿瘤的分子遗传学特征(基因 mRNA 表达水平的测定)等临床参数:MGMT、VEGF、PDGFRA、β-tubulin III、ERCC-1、TOP2A)。结果在临床和人口统计学特征中,生存期中位数受患者年龄和术后功能状态的影响。与 50 岁以上的患者相比,50 岁以下患者组的生存期中位数高出 2 倍多(18.5 周对 8 周)。存活期中位数与术后功能状态(根据卡诺夫斯基量表)的关系已被确定(p = 0.001)。单个脑叶病变患者的生存期中位数是广泛肿瘤病变患者的5倍多,但没有统计学可靠性(P = 0.09,21.5周对4周)。当复发部位位于原发肿瘤切除区域的 2 厘米范围内时,生存率更高。疾病进展后,MGMT 基因失去了预测价值。TOR2A基因低表达患者的生存率高于中、高表达患者(47.5 vs 3周,p = 0.001;47.5 vs 22.5周,p = 0.06)。PDGFRA基因低表达水平和中表达水平组的生存中位数高于高表达水平组(分别为29周 vs 0周,p = 0.04;21周 vs 0周,p = 0.05)。肿瘤复发全切除和次全切除组患者的生存率最高(分别为 22 周和 18.5 周,p = 0.05)。使用替莫唑胺进行二线化疗可显著提高第二次 BRS 的中位数(p = 0.01)。结论复发性胶质母细胞瘤的特点是病程极具侵袭性。因此,患者年龄、肿瘤切除程度、肿瘤过程发生率、肿瘤切除程度和二线化疗等预后因素显得尤为重要。值得注意的是,MGMT 基因在疾病进展过程中失去了预测价值,而 TOR2A 基因和 PDGFRA 基因则成为预后标志。
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