Modeling prognostic factors in resectable pancreatic adenocarcinomas

Taxiarchis Botsis, Valsamo K. Anagnostou, Gunnar Hartvigsen, George Hripcsak, Chunhua Weng

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)281-291
Number of pages11
JournalCancer Informatics
StatePublished - 2009
Externally publishedYes


  • Multivariable model
  • Pancreatic adenocarcinomas
  • Prognosis
  • Survival

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


Dive into the research topics of 'Modeling prognostic factors in resectable pancreatic adenocarcinomas'. Together they form a unique fingerprint.

Cite this