Evaluation of UICC TNM classification for pancreatic cancer - A study of 228 patients

Gianpaolo Balzano, Claudio Bassi, Alessandro Zerbi, Massimo Falconi, Giliola Calori, Giovanni Butturini, Biagio E. Leone, Paolo Pederzoli, Valerio Di Carlo

Research output: Contribution to journalArticlepeer-review


Conclusion: A different stage grouping of TNM factors can improve the predictivity of the UICC TNM classification for pancreatic cancer. Nevertheless, the Japanese Pancreas Society (JPS) classification maintains a higher prognostic value. Background: The use of a reliable staging classification facilitates the evaluation of anticancer treatments and the correct management of patients. The aim of the present study was to evaluate the prognostic value of three modified UICC TNM classifications, obtained by different stage grouping of the UICC TNM factors, comparing their predictivity to the standard UICC and the JPS classifications. Methods: Clinical material consisted of 228 patients who underwent resection for pancreatic cancer. The reliability of the classifications was analyzed by the following methods: univariate analysis of stage survival curves; multivariate analysis of each classification after adjusting for grading and radicality; and correlation between the patients' distribution in the stages of each classification and in survival classes. Results: The following modfiied UICC classification allowed a better differentiation of stage II and III survival (P=0.08) than standard UICC (p=0.74): stage I: T1N0M0; stage II: T1N1M0/T2N0M0: stage III: T2N1M0/T3 any NM0; stage IV: M1. The JPS classification better discriminated between the different stages (P

Original languageEnglish
Pages (from-to)111-118
Number of pages8
JournalInternational Journal of Pancreatology
Issue number2
Publication statusPublished - Apr 1997


  • classification
  • neoplasm staging
  • Pancreatic neoplasms
  • pathology
  • surgery
  • survival survival analysis

ASJC Scopus subject areas

  • Oncology
  • Gastroenterology
  • Endocrinology


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