替利单抗对非小细胞肺癌完全缓解和病理完全缓解的影响:一项系统综述和荟萃分析。

IF 3.5 3区 医学 Q2 ONCOLOGY
Frontiers in Oncology Pub Date : 2025-10-08 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1657282
Qian Feng, Xiaoxia Yan, Liping Gao, Hui Li, Baik Sarah, Russo Anna, Hongying Jiang
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引用次数: 0

摘要

背景:免疫检查点抑制剂已经改变了非小细胞肺癌(NSCLC)的治疗,虽然总生存期(OS)和无进展生存期(PFS)已经建立,但缺乏针对非小细胞肺癌基于tislelizumab治疗的完全缓解(CR)和病理完全缓解(pCR)的综合荟萃分析。方法:本系统综述和荟萃分析遵循PRISMA指南进行。在PubMed、Embase和Web of Science上进行了全面的文献检索。我们纳入了tisslelizumab在NSCLC中的随机对照试验和观察性研究,重点是提取放射完全缓解(CR,基于RECIST 1.1标准)和病理完全缓解(pCR,定义为切除手术标本中没有残留的浸润性癌症)的数据。使用Cochrane协作工具和Newcastle-Ottawa量表评估偏倚风险。采用“meta”包进行统计学分析,计算CR和pCR的95%置信区间(ci)和优势比(ORs),并进行亚组分析。结果:7项研究纳入meta分析。pCR结果显示异质性显著(I2 = 92.5%),随机效应OR为2.1103 (95% CI: 0.5195 ~ 8.5727)。按疾病类型进行pCR的亚组分析显示,在共同效应模型下,NSCLC和仅SCC亚组之间的差异具有统计学意义(p < 0.001)。此外,比较药物的pCR亚组分析显示,派姆单抗+化疗(OR 0.6968, 95% CI: 0.3803 ~ 1.2767)与单独化疗(OR 7.3123, 95% CI: 2.9204 ~ 18.3092)之间的差异具有统计学意义(p < 0.0001)。对于CR, meta分析显示最小的异质性(I2 = 0.0%),产生显著的随机效应OR为2.6277 (95% CI: 1.2858至5.3699)。比较tislelizumab联合化疗与单独化疗的CR亚组分析显示显着优势(OR 3.8690, 95% CI: 1.5423至9.7059)。结论:与单独化疗相比,Tislelizumab联合化疗可显著提高NSCLC的CR率。虽然pCR数据显示出高度异质性,但研究结果强调了tislelizumab在实现深部肿瘤反应中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect of tislelizumab on complete and pathological complete response in non-small cell lung cancer: a systematic review and meta-analysis.

Background: Immune checkpoint inhibitors have transformed non-small cell lung cancer (NSCLC) treatment, and while overall survival (OS) and progression-free survival (PFS) are well-established, a comprehensive meta-analysis focusing on complete response (CR) and pathological complete response (pCR) with tislelizumab-based therapies in NSCLC is lacking.

Methods: This systematic review and meta-analysis was conducted following PRISMA guidelines. A thorough literature search was performed across PubMed, Embase, and Web of Science. We included both randomized controlled trials and observational studies of tislelizumab in NSCLC, focusing on extracting data for radiological complete response (CR, based on RECIST 1.1 criteria) and pathological complete response (pCR, defined as absence of residual invasive cancer in resected surgical specimens). Risk of bias was assessed using the Cochrane Collaboration's tool and the Newcastle-Ottawa Scale. Statistical analyses were performed using the 'meta' package in R. 95% confidence intervals (CIs) and odds ratios (ORs) were calculated for CR and pCR, and subgroup analyses were conducted.

Results: 7 studies were enrolled in the meta-analysis. The results on pCR showed significant heterogeneity (I2 = 92.5%), with a random effects OR of 2.1103 (95% CI: 0.5195 to 8.5727). Subgroup analysis for pCR by disease type revealed a statistically significant difference between NSCLC and SCC only subgroups under the common effect model (p < 0.001). Furthermore, the pCR subgroup analysis by comparator drug showed a statistically significant difference (p < 0.0001) between Pembrolizumab+Chemotherapy (OR 0.6968, 95% CI: 0.3803 to 1.2767) and Chemotherapy alone (OR 7.3123, 95% CI: 2.9204 to 18.3092). For CR, the meta-analysis demonstrated minimal heterogeneity (I2 = 0.0%), yielding a significant random effects OR of 2.6277 (95% CI: 1.2858 to 5.3699). Subgroup analysis for CR comparing tislelizumab plus chemotherapy to chemotherapy alone showed a significant advantage (OR 3.8690, 95% CI: 1.5423 to 9.7059).

Conclusion: Tislelizumab combined with chemotherapy significantly improves CR rates in NSCLC compared to chemotherapy alone. While pCR data exhibit high heterogeneity, the findings highlight tislelizumab's role in achieving deep tumor responses.

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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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