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Updated: Jun 12, 2026
An Orthotopic Resectional Mouse Model of Pancreatic Cancer
Published on: September 24, 2020
Modeling prognostic factors in resectable pancreatic adenocarcinomas
Taxiarchis Botsis1, Valsamo K Anagnostou, Gunnar Hartvigsen
1Department of Biomedical Informatics, Columbia University, 10032 New York, USA.
Background:
The accurate prognosis for patients with resectable pancreatic adenocarcinomas requires the incorporation of more factors than those included in AJCC TNM system.
Methods:
We identified 218 patients diagnosed with stage I and II pancreatic adenocarcinoma at NewYork-Presbyterian Hospital/Columbia University Medical Center (1999 to 2009). Tumor and clinical characteristics were retrieved and associations with survival were assessed by univariate Cox analysis. A multivariable model was constructed and a prognostic score was calculated; the prognostic strength of our model was assessed with the concordance index.
Results:
Our cohort had a median age of 67 years and consisted of 49% men; the median follow-up time was 14.3 months and the 5-year survival 3.6%. Age, tumor differentiation and size, alkaline phosphatase, albumin and CA 19-9 were the independent factors of the final multivariable model; patients were thus classified into low (n = 14, median survival = 53.7 months), intermediate (n = 124, median survival = 19.7 months) and high risk groups (n = 80, median survival = 12.3 months). The prognostic classification of our model remained significant after adjusting for adjuvant chemotherapy and the concordance index was 0.73 compared to 0.59 of the TNM system.
Conclusion:
Our prognostic model was accurate in stratifying patients by risk and could be incorporated into clinical decisions.
