Department of Pathophysiology and Transplantation, University of Milano, 20129 Milano, Italy.
Respiratory Disease and Adult Cystic Fibrosis Center, Internal Medicine Department, Fondazione IRCCS Ca' Granda, Ospedale Maggiore, Policlinico, 20129 Milano, Italy.
Int J Mol Sci. 2020 Aug 16;21(16):5882. doi: 10.3390/ijms21165882.
Over the last years (cystic fibrosis transmembrane conductance regulator) modulators have shown the ability to improve relevant clinical outcomes in patients with cystic fibrosis (CF). This review aims at a systematic research of the current evidence on efficacy and tolerability of modulators for different genetic subsets of patients with CF. Two investigators independently performed the search on PubMed and included phase 2 and 3 clinical trials published in the study period 1 January 2005-31 January 2020. A final pool of 23 papers was included in the systematic review for a total of 4219 patients. For each paper data of interest were extracted and reported in table. In terms of lung function, patients who had the most beneficial effects from modulation were those patients with one gating mutation receiving IVA (ivacaftor) and patients with p.Phe508del mutation, both homozygous and heterozygous, receiving ELX/TEZ/IVA (elexacaftor/tezacaftor/ivacaftor) had the most relevant beneficial effects in term of lung function, pulmonary exacerbation decrease, and symptom improvement. modulators showed an overall favorable safety profile. Next steps should aim to systematize our comprehension of scientific data of efficacy and safety coming from real life observational studies.
在过去的几年中,(囊性纤维化跨膜电导调节因子)调节剂已显示出改善囊性纤维化(CF)患者相关临床结局的能力。本综述旨在系统研究调节剂在 CF 不同遗传亚组患者中的疗效和耐受性的现有证据。两名研究人员分别在 PubMed 上进行了搜索,并纳入了 2005 年 1 月 1 日至 2020 年 1 月 31 日期间发表的 2 期和 3 期临床试验。共有 23 篇论文被纳入系统综述,共有 4219 名患者。对于每篇论文,提取了感兴趣的数据并以表格形式报告。就肺功能而言,从调制中获益最大的患者是那些携带一个门控突变并接受 IVA(ivacaftor)治疗的患者,以及那些携带 p.Phe508del 突变的患者,无论是纯合子还是杂合子,接受 ELX/TEZ/IVA(elexacaftor/tezacaftor/ivacaftor)治疗的患者在肺功能、肺恶化减少和症状改善方面获益最大。调节剂具有总体良好的安全性。下一步应旨在系统地了解来自真实观察研究的疗效和安全性的科学数据。