医学
临床终点
内科学
胃肠病学
神经内分泌肿瘤
栓塞
链脲佐菌素
混淆
实体瘤疗效评价标准
倾向得分匹配
回顾性队列研究
总体生存率
糖尿病
肿瘤科
泌尿科
胰腺神经内分泌肿瘤
放射科
癌症
加药
预测标记
二甲双胍
存活率
原发性肿瘤
胰腺
外科
作者
Anne‐Laure Védié,Francesco Matteini,Jérôme Cros,Marco Dioguardi Burgio,Jules Grégory,Olivia Hentic,Andréas Busse-Côté,Lucas Raynaud,Anne Couvelard,Vinciane Rebours,Philippe Ruszniewski,Maxime Ronot,Louis de Mestier
摘要
Locoregional therapies are a standard treatment for neuroendocrine tumors (NET) with predominant liver metastases. The efficacy of transarterial chemoembolization (TACE) using streptozotocin (STZ) has been poorly compared to transarterial embolization (TAE). Predictive biomarkers of TACE efficacy have never been explored. We studied all patients with pancreatic (panNET) or small intestine (siNET) NET and liver metastases treated between 2006 and 2022 using a standardized protocol of TACE-STZ (1,500 mg/m2) or TAE. The primary endpoint was the RECIST 1.1-defined objective response rate (ORR). The variables associated with ORR were explored using a propensity score to account for confounding factors. Secondary endpoints included the impact of tumor expression of O6-methylguanine-methyltransferase (MGMT), alkylpurine-DNA-N-glycosylase (APNG), and carbonic anhydrase IX (CAIX), and progression-free survival (PFS). Among 116 patients, 58 received TACE (15 siNET and 43 panNET) and 58 received TAE (42 siNET and 16 panNET). TACE was associated with a higher ORR than TAE (43 vs 22%, P = 0.045), which remained statistically significant on propensity-adjusted multivariable analysis (OR 2.71, 95% CI: (1.08-7.17), P = 0.038). TACE provided longer PFS than TAE in panNET patients (12.9 vs 6.4 months, P = 0.026), but not in siNET patients (16.1 vs 15.1 months, P = 0.47). Low APNG expression was predictive of higher ORR with TACE (70 vs 16%, P < 0.001), while the expression of MGMT and CAIX had no impact. TACE-STZ provided a higher ORR than TAE, although it yielded longer PFS only in patients with panNET. Low tumor expression of APNG might help select the best candidates for TACE-STZ, although this result was only exploratory.
科研通智能强力驱动
Strongly Powered by AbleSci AI