Abstract 154P
Background
Apatinib, a novel treatment option for chemotherapy-refractory advanced gastric cancer (AGC), has not yet been evaluated in patients with locally AGC. This trial investigated the efficacy and safety of apatinib combined with S-1 plus oxaliplatin (SOX) as a neoadjuvant treatment for locally AGC.
Methods
Patients with M0 and either T2-T4 or N+ disease received apatinib (500 mg orally once daily on days 1-21 and discontinued in the last cycle) plus SOX (S-1, 40-60 mg orally twice daily on days 1-14; oxaliplatin, 130 mg/m2 intravenously on day 1) given every 3 weeks for 2-5 cycles. D2 gastrectomy was performed 2-4 weeks after the last cycle. To further compare the efficacy and safety between apatinib plus SOX (ASOX group) and SOX alone (SOX group), we reviewed historical control patients receiving SOX as neoadjuvant chemotherapy at the central center. The primary end point was the R0 resection rate.
Results
Between July 2017 and June 2019, 48 and 58 patients were enrolled in the ASOX and SOX groups, respectively. Forty patients in the ASOX group (83.3%) and 47 patients in the SOX group (81.0%) underwent surgery, with R0 resection rates of 75.0% and 67.2%, respectively (P=0.382). The proportion of patients with T downstaging in the ASOX group was significantly higher than that in the SOX group (36.4% vs 18.5%, P=0.036). For patients with target lesions, the radiological response rate was significantly higher in the ASOX group (75.0% vs 38.5%, P=0.015). Moreover, the ASOX group was associated with significantly higher proportions of patients achieving major pathological response (25.0% vs 10.3%, P=0.046). Grade 3 toxicities occurred in 33.3% of the ASOX patients, and no grade 4 toxicities or drug-related deaths were observed.
Conclusions
Apatinib combined with SOX showed promising efficacy with an acceptable safety profile as the first-line neoadjuvant treatment for locally AGC.
Clinical trial identification
NCT03192735.
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Scientific and Technological Innovation Joint Capital Projects of Fujian Province.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
360P - Number of lymph nodes examined was not an independent risk factor for the survival of patients with stage IA1-2 lung adenocarcinoma undergoing sublobar resection
Presenter: Zhenbin Qiu
Session: e-Poster Display Session
361P - Radiomic model predicting radiological response after thoracic stereotactic body radiotherapy regardless of tumor histology and staging
Presenter: Ben Man Fei Cheung
Session: e-Poster Display Session
362P - Integrative and comparative genomic analysis and immune microenvironment features of lung cancer patients with tuberculosis
Presenter: Xiaoling Xu
Session: e-Poster Display Session
363P - Genetic predisposition for pre-invasive lung adenocarcinoma manifesting as ground-glass nodules with family history of lung cancer
Presenter: Rui Fu
Session: e-Poster Display Session
364P - A deep learning model for the classification of lung cancer
Presenter: Gouji Toyokawa
Session: e-Poster Display Session
365P - Utilization of on-site pathology evaluation for lung cancer diagnosis in the Philippines’ National University Hospital
Presenter: Rich Ericson King
Session: e-Poster Display Session
367P - Detection of epidermal growth factor receptor mutations (EGFR-mut) from cell-free DNA in pleural effusion (PE-DNA) of patients with non-small cell lung cancer (NSCLC)
Presenter: Kirsty Lee
Session: e-Poster Display Session
368P - Real-world characteristics, treatment, and outcomes of stage III non-small cell lung cancer in Japan: SOLUTION study
Presenter: Haruyasu Murakami
Session: e-Poster Display Session
369P - The surgical perspective in neoadjuvant immunotherapy for resectable non-small cell lung cancer
Presenter: Long Jiang
Session: e-Poster Display Session
371P - Real-world insights into treatment patterns and outcomes in stage III non-small cell lung cancer (NSCLC): KINDLE study India analysis
Presenter: Kumar Prabhash
Session: e-Poster Display Session