Ahmad M Usman, Javadi Christopher S, Chang Julia D, Forgó Erna, Delitto Daniel J, Dua Monica M, Fisher George A, Heestand Gregory M, Chang Daniel T, Pollom Erqi, Vitzthum Lucas K, Kirane Amanda, Lee Byrne, Visser Brendan C, Norton Jeffrey A, Poultsides George A
Department of Surgery, Stanford University, Stanford, CA.
Department of Pathology, Stanford University, Stanford, CA.
Ann Surg. 2024 Dec 16. doi: 10.1097/SLA.0000000000006609.
To examine the optimal method of assessing response to neoadjuvant therapy (NAT) in operable pancreatic ductal adenocarcinoma (PDAC) patients.
PDAC response to NAT is measured with biochemical, radiographic and pathologic parameters, which can often be discordant with each other.
PDAC patients undergoing resection after NAT at a single institution were retrospectively analyzed. Tumor response was assessed using pre-/post-NAT Carbohydrate Antigen 19-9 (CA 19-9) levels, radiographic decrease in tumor diameter, and pathologic Tumor Regression Grade (TRG). The association of these factors with overall survival (OS) was compared using Kaplan-Meier, Cox regression, and recursive partitioning analysis (RPA), a machine learning technique that can validate prediction models for complex hierarchical relationships.
From 2011 to 2022, 225 patients underwent pancreatectomy after NAT (Folfirinox, 70%; Gem+nab-paclitaxel, 19%; radiation, 18%). Almost half required vascular resection (portal vein, 39%; celiac axis 8%). Improved OS was observed after CA 19-9 decrease >50% (32 vs. 24 mo, P=0.0028), but not after major pathologic (TRG 0-1, P=0.067) or radiographic response (tumor diameter decrease >30%, P=0.89). However, RPA identified that the co-existence of biochemical and major pathologic response (achieved in 9% of patients) was associated with the longest OS (40 mo, P=0.0086). This optimal dual response combination was more commonly observed after neoadjuvant radiotherapy was used after systemic chemotherapy (45% vs. 11%, P<0.001).
CA19-9 response to NAT alone is not enough to identify long-term post-resection PDAC survivors. The co-existence of CA19-9 and major pathologic response was predictive of the most optimal survival outcome.
探讨评估可切除性胰腺导管腺癌(PDAC)患者新辅助治疗(NAT)反应的最佳方法。
PDAC对NAT的反应通过生化、影像学和病理参数进行衡量,这些参数之间往往不一致。
对在单一机构接受NAT后行切除术的PDAC患者进行回顾性分析。使用NAT前后的糖类抗原19-9(CA 19-9)水平、肿瘤直径的影像学缩小以及病理肿瘤退缩分级(TRG)来评估肿瘤反应。使用Kaplan-Meier法、Cox回归和递归划分分析(RPA,一种可验证复杂层次关系预测模型的机器学习技术)比较这些因素与总生存期(OS)的关联。
2011年至2022年期间,225例患者在NAT后接受了胰腺切除术(Folfirinox方案,70%;吉西他滨+纳米白蛋白紫杉醇,19%;放疗,18%)。近一半患者需要进行血管切除(门静脉,39%;腹腔干,8%)。CA 19-9下降>50%后观察到OS改善(32个月对24个月,P=0.0028),但主要病理反应(TRG 0-1,P=0.067)或影像学反应(肿瘤直径缩小>30%,P=0.89)后未观察到OS改善。然而,RPA确定生化反应和主要病理反应同时存在(9%的患者达到)与最长OS相关(40个月,P=0.0086)。在全身化疗后使用新辅助放疗后,这种最佳双反应组合更常见(45%对11%,P<0.001)。
单独CA19-9对NAT的反应不足以识别切除术后长期生存的PDAC患者。CA19-9和主要病理反应同时存在可预测最佳生存结果。