Evaluating TNM stage prognostic ability in a population-based cohort of gastric adenocarcinoma patients in a low-incidence country

Alyson L. Mahar, Brandon Zagorski, Daniel Kagedan, Matthew Dixon, Abraham El-Sedfy, Jovanka Vasilevska-Ristovska, Daniela Cortinovis, Corwyn Rowsell, Calvin Law, Lucy Helyer, Lawrence Paszat, Natalie Coburn

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Objectives: TNM stage is the preeminent cancer staging system and a fundamental determinant of disease prognosis. Our goal was to evaluate the predictive power of TNM stage for gastric adenocarcinoma (GAC), in a low-incidence country. Methods: A province-wide chart review of GAC patients diagnosed from April 1, 2005 to March 31, 2008 was conducted in Ontario and linked to routinely collected vital status data with a follow-up on March 31, 2012. TNM staging was classified using the sixth and seventh Union International for Cancer Control/American Joint Committee on Cancer editions. Kaplan-Meier and log-rank tests compared stage-stratified survival estimates. Discrimination was evaluated using Harrell’s C statistic. Results: The cohort included 2366 patients. One- and 5-year survival was 43% and 17%. Using the sixth edition, 9% of patients had stage I disease, 5.4% stage II, 7.3% stage III, and 64% stage IV; 15% were not staged. Using the seventh edition, 9% were stage I, 7.7% stage II, 16% stage III, and 54% stage IV; 14% were not staged. Stage-stratified 5-year survival ranged from 68% to 7% with the sixth edition and from 70% to 4% with the seventh edition. Harrell’s C statistic was 0.64 (0.63–0.65) for the broad sixth edition staging categories and 0.68 (0.67–0.69) for the broad seventh edition. Discriminative power was similar for the refined stage categories and across multiple subgroup analyses; it was best in non-metastatic patients. Conclusion: Existing staging systems for GAC used in North America predict individualized prognosis poorly. The creation of a more complex prediction tool is necessary to provide accurate and precise prognostication information to oncologists, patients, and their families.

Original languageEnglish (US)
Pages (from-to)480-488
Number of pages9
JournalCanadian Journal of Public Health
Issue number4
StatePublished - Aug 1 2018

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health


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