Neoadjuvant Therapy for Resectable and Borderline Resectable Pancreatic Cancer: A Meta-Analysis of Randomized Controlled Trials.
Jordan M CloydVictor HehTimothy M PawlikAslam M EjazMary DillhoffAllan TsungTerence WilliamsLaith AbushahinJohn F P BridgesHeena SantryPublished in: Journal of clinical medicine (2020)
The efficacy of neoadjuvant therapy (NT) versus surgery first (SF) for pancreatic ductal adenocarcinoma (PDAC) remains controversial. A random-effects meta-analysis of only prospective randomized controlled trials (RCTs) comparing NT versus SF for potentially resectable (PR) or borderline resectable (BR) PDAC was performed. Among six RCTs including 850 patients, 411 (48.3%) received NT and 439 (51.6%) SF. In all included trials, NT was gemcitabine-based: four using chemoradiation and two chemotherapy alone. Based on an intention-to-treat analysis, NT resulted in improved overall survival (OS) compared to SF (HR 0.73, 95% CI 0.61-0.86). This effect was independent of anatomic classification (PR: hazard ratio (HR) 0.73, 95% CI 0.59-0.91; BR: HR 0.51 95% CI 0.28-0.93) or NT type (chemoradiation: HR 0.77, 95% CI 0.61-0.98; chemotherapy alone: HR 0.68, 95% CI 0.54-0.87). Overall resection rate was similar (risk ratio (RR) 0.93, 95% CI 0.82-1.04, I2 = 39.0%) but NT increased the likelihood of a margin-negative (R0) resection (RR 1.51, 95% CI 1.18-1.93, I2 = 0%) and having negative lymph nodes (RR 2.07, 95% CI 1.47-2.91, I2 = 12.3%). In this meta-analysis of prospective RCTs, NT significantly improved OS in an intention-to-treat fashion, compared with SF for localized PDAC. Randomized controlled trials using contemporary multi-agent chemotherapy will be needed to confirm these findings and to define the optimal NT regimen.
Keyphrases
- locally advanced
- rectal cancer
- neoadjuvant chemotherapy
- squamous cell carcinoma
- radiation therapy
- lymph node
- randomized controlled trial
- end stage renal disease
- liver metastases
- minimally invasive
- chronic kidney disease
- deep learning
- acute coronary syndrome
- ejection fraction
- clinical trial
- stem cells
- coronary artery disease
- early stage
- neural network