Neoadjuvant therapy versus surgery first for ampullary carcinoma: A propensity score-matched analysis of the NCDB

J Surg Oncol. 2021 Jun;123(7):1558-1567. doi: 10.1002/jso.26435. Epub 2021 Feb 17.

Abstract

Background: The role of neoadjuvant therapy (NT) for ampullary carcinoma (AC) has not been clearly established.

Methods: Patients who underwent pancreatoduodenectomy for AC between 2004 and 2016 were identified in the National Cancer Database. Overall survival (OS) was compared between those who received NT before resection and those who underwent surgery first (SF). Propensity score matching (PSM) was performed using age, pathologic T and N stage, and tumor differentiation.

Results: Among 8688 patients with AC, 175 (2.0%) received NT before surgery. While patients who received NT were younger (p = .022) and more likely to have nodal metastasis (43.3% vs. 35.1%, p < .001), there was no difference in OS on univariate (43 vs. 33 months; hazard ratio [HR]: 1.10, 95% confidence interval [CI]: 0.88-1.37, p = .401) or multivariate (HR: 1.09, 95% CI: 0.88-1.36, p = .416) analysis between groups. After PSM, there remained no difference in OS between NT or SF groups on univariate (37 vs. 32 months; HR: 1.20, 95% CI: 0.87-1.64, p = .350) or multivariate (HR: 0.99, 95% CI: 0.71-1.38, p = .943) analysis.

Conclusion: NT followed by surgery was not associated with improved survival outcomes compared with SF among patients with localized AC. While NT is an acceptable alternative for patients with advanced disease, SF should remain the standard of care.

Keywords: ampullary carcinoma; neoadjuvant therapy; pancreatoduodenectomy.

MeSH terms

  • Aged
  • Ampulla of Vater / pathology
  • Ampulla of Vater / surgery
  • Cohort Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Neoadjuvant Therapy
  • Pancreatic Neoplasms / mortality
  • Pancreatic Neoplasms / pathology
  • Pancreatic Neoplasms / surgery
  • Pancreatic Neoplasms / therapy*
  • Pancreaticoduodenectomy / methods
  • Pancreaticoduodenectomy / statistics & numerical data
  • Propensity Score
  • Proportional Hazards Models
  • Survival Analysis
  • United States / epidemiology