医学
内科学
依托泊苷
临床终点
放化疗
顺铂
放射治疗
肿瘤科
临床研究阶段
化疗
无进展生存期
不利影响
肺癌
胃肠病学
临床试验
作者
Yirui Zhai,Hu Ma,Zhouguang Hui,Lujun Zhao,Dongming Li,Jun Liang,Xiaozhen Wang,Liming Xu,Bo Chen,Yu Tang,Runye Wu,Yujin Xu,Qingsong Pang,Ming Chen,Lühua Wang
标识
DOI:10.1016/j.radonc.2018.10.032
摘要
Purpose The prognosis of unresectable stage III non-small cell lung cancer (NSCLC) was poor even after concurrent chemoradiotherapy. There remains a great need to develop novel therapeutic agents in combination with CCRT to improve outcomes. This prospective study sought to evaluate the efficacy and toxicities of the addition of endostar, an anti-angiogenesis agent, to concurrent etoposide, cisplatin (EP) and radiotherapy for treatment of patients with NSCLC. Patients and methods Patients with untreated pathologically confirmed inoperable stage III NSCLC were eligible. Radiation at doses of 60–66 Gy, four cycles of endostar (7.5 mg/m2/24 h × 120 h, 14 days/cycle), and two cycles of EP (etoposide 50 mg/m2 on days 1–5 and cisplatin 50 mg/m2 on days 1 and 8, 28 days/cycle) were delivered. The primary endpoint was progression-free survival (PFS). The secondary endpoints were response rate and overall survival (OS), locoregional relapse-free survival (LRFS) distant metastasis-free survival (DMFS) and adverse events (AE). Results From November 2012 to June 2015, 73 patients were enrolled, and 67 patients were evaluable. The median age was 59 years. Sixty-six percent of the patients had squamous cell carcinoma. Grade ≥3 AEs occurred in 58.2% of the patients. The most common Grade ≥3 AE was leucopenia (44.8%). The response rate was 76.1%. The median times of PFS and OS were 13.3 months and 34.7 months, respectively. The 2-year PFS, OS, LRFS and DMFS rates were 34.8%, 59.9%, 54.7% and 68.5%, respectively. Conclusions For patients with unresectable stage III NSCLC, continuous intravenous endostar in combination with concurrent EP and radiotherapy did not prolong median PFS, although it got preferable OS, promising 2-year PFS with tolerable toxicities.
科研通智能强力驱动
Strongly Powered by AbleSci AI