优化胶质母细胞瘤治疗:小鼠模型局部注射和全身给药系统的系统回顾和荟萃分析。

Surgical neurology international Pub Date : 2024-11-22 eCollection Date: 2024-01-01 DOI:10.25259/SNI_588_2024
Nicholas Calvin, Renindra Ananda Aman
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引用次数: 0

摘要

背景:胶质母细胞瘤(GBM)是一种预后不良的侵袭性原发性脑肿瘤。目前GBM治疗的金标准,被称为Stupp方案,包括最大限度的安全手术切除,然后是放疗和替莫唑胺化疗。尽管适度延长了生存期,但该方案存在明显的副作用和有限的疗效,导致中位生存期(MS)为15个月,5年生存率仅为7%。GBM治疗的一个主要挑战是血脑屏障(BBB),它限制了治疗剂进入大脑,从而限制了全身治疗的有效性。为了解决这些局限性,本系统综述和荟萃分析研究了注射局部给药系统(DDS)与全身DDS在小鼠GBM模型中的有效性。本研究旨在提供强有力的证据,支持注射局部DDS治疗GBM的潜在益处。方法:利用PubMed、Embase和ScienceDirect数据库进行全面的文献检索。纳入的研究是原位GBM肿瘤模型中局部抗癌药物DDS与全身DDS比较的原始研究。数据提取过程包括生存率、肿瘤生长和其他相关结果的信息。采用Review Manager 5.4进行统计分析,采用随机效应模型计算局部和全身DDS之间生存时间的汇总平均差(MD)。结果:1341条记录中,有6项研究符合纳入标准,共计129只小鼠模型。荟萃分析显示,与全身给药相比,局部注射DDS可显著改善MS (MD = 2.76;95%置信区间为0.43-5.09;P = 0.03;I2 = 93%)。局部注射DDS绕过血脑屏障,在肿瘤部位获得更高的局部药物浓度和持续释放,从而提高了治疗效果,降低了全身毒性。结论:本系统综述和荟萃分析提供了令人信服的证据,表明与全身治疗相比,局部注射DDS可显著提高GBM模型的生存率。这些发现强调了局部DDS克服血脑屏障带来的挑战并将更高浓度的治疗剂直接输送到肿瘤部位的潜力。然而,需要进一步的研究来验证这些发现在人体临床试验和完善DDS配方。未来的研究应侧重于开发能够同时提供多种治疗药物的DDS配方,解决临床前模型的实验变异性,并进行严格的临床试验,以评估局部DDS对人类患者的安全性和有效性。跨研究的标准化测试方法将促进更准确的比较和数据整合,最终推进这种有前途的治疗方法的临床转化。
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Optimizing glioblastoma treatment: A systematic review and meta-analysis of local injection and systemic drug delivery system in murine models.

Background: Glioblastoma (GBM) is an aggressive primary brain tumor with a poor prognosis. The current gold standard for GBM treatment, known as the Stupp protocol, includes maximal safe surgical resection followed by radiotherapy and temozolomide chemotherapy. Despite extending survival modestly, this regimen is associated with significant side effects and limited efficacy, resulting in a median survival (MS) of 15 months and a 5-year survival rate of only 7%. A major challenge in GBM treatment is the blood-brain barrier (BBB), which restricts the penetration of therapeutic agents into the brain, thereby limiting the effectiveness of systemic therapies. To address these limitations, this systematic review and meta-analysis investigated the effectiveness of injectable local drug delivery systems (DDS) compared to systemic DDS in murine GBM models. This study aimed to provide robust evidence supporting the potential benefits of injectable local DDS for GBM treatment.

Methods: A comprehensive literature search was conducted using PubMed, Embase, and ScienceDirect databases. The studies included were original research on local DDS of anticancer agents compared to systemic DDS in orthotopic GBM tumor models. The data extraction process included information on survival rates, tumor growth, and other relevant outcomes. Statistical analysis was performed using Review Manager 5.4, employing a random-effects model to calculate the pooled mean difference (MD) in survival time between local and systemic DDS.

Results: Out of 1341 records, six studies met the inclusion criteria, totaling 129 murine models. The meta-analysis revealed that local injection of DDS significantly improved the MS compared to systemic administration (MD = 2.76; 95% confidence interval, 0.43-5.09; P = 0.03; I2 = 93%). The local injection of the DDS bypassed the BBB, achieving higher local drug concentrations and sustained release at the tumor site, leading to enhanced therapeutic efficacy and reduced systemic toxicity.

Conclusion: This systematic review and meta-analysis provide compelling evidence that local injection of DDS significantly improves survival in GBM models compared with systemic therapies. These findings highlight the potential of local DDS to overcome the challenges posed by the BBB and deliver higher concentrations of therapeutic agents directly to the tumor site. However, further research is needed to validate these findings in human clinical trials and refine DDS formulations. Future research should focus on developing DDS formulations capable of delivering multiple therapeutic agents simultaneously, addressing the experimental variability in preclinical models, and conducting rigorous clinical trials to evaluate the safety and efficacy of local DDS in human patients. Standardizing the testing methods across studies will facilitate more accurate comparisons and data integration, ultimately advancing the clinical translation of this promising therapeutic approach.

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