Accuracy of models to prognosticate survival after surgery for pancreatic cancer in the era of neoadjuvant therapy
- PMID: 37073788
- PMCID: PMC10330210
- DOI: 10.1002/jso.27287
Accuracy of models to prognosticate survival after surgery for pancreatic cancer in the era of neoadjuvant therapy
Abstract
Background: Outcomes for pancreatic adenocarcinoma (PDAC) remain difficult to prognosticate. Multiple models attempt to predict survival following the resection of PDAC, but their utility in the neoadjuvant population is unknown. We aimed to assess their accuracy among patients that received neoadjuvant chemotherapy (NAC).
Methods: We performed a multi-institutional retrospective analysis of patients who received NAC and underwent resection of PDAC. Two prognostic systems were evaluated: the Memorial Sloan Kettering Cancer Center Pancreatic Adenocarcinoma Nomogram (MSKCCPAN) and the American Joint Committee on Cancer (AJCC) staging system. Discrimination between predicted and actual disease-specific survival was assessed using the Uno C-statistic and Kaplan-Meier method. Calibration of the MSKCCPAN was assessed using the Brier score.
Results: A total of 448 patients were included. There were 232 (51.8%) females, and the mean age was 64.1 years (±9.5). Most had AJCC Stage I or II disease (77.7%). For the MSKCCPAN, the Uno C-statistic at 12-, 24-, and 36-month time points was 0.62, 0.63, and 0.62, respectively. The AJCC system demonstrated similarly mediocre discrimination. The Brier score for the MSKCCPAN was 0.15 at 12 months, 0.26 at 24 months, and 0.30 at 36 months, demonstrating modest calibration.
Conclusions: Current survival prediction models and staging systems for patients with PDAC undergoing resection after NAC have limited accuracy.
Keywords: calibration; nomograms; pancreatectomy; pancreatic carcinoma; pancreatic neoplasms; prognosis.
© 2023 The Authors. Journal of Surgical Oncology published by Wiley Periodicals LLC.
Conflict of interest statement
Conflicts of Interest:
M.M.C. holds U.S. Patent #11,410,777 and receives royalties paid by the University of Chicago related to an algorithm for risk stratification of hospitalized patients. M.E.B. serves on the medical advisory board of Strata Oncology. M.E.B. receives research funding from Abbvie, Arcus, Apollomics, Elevation Oncology, Endeavor, Genetech, Puma, Loxo Oncology, and Seagen.
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References
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