Non-steroidal anti-inflammatory drugs (NSAIDs) inhibit colorectal carcinogenesis and prevent or revert the growth of premalignant colonic polyps. They inhibit cyclooxygenase (COX) but recent data indicate that this is not the only or even the most important mechanism of inhibition in colorectal tumor cells. We have used colonic carcinoma and adenoma cell lines to study the effects of the NSAID sulindac sulfide, its COX-inactive metabolite, sulindac sulfone, and the isoenzyme-specific inhibitors SC58125, SC236 and SC58560 on tumor cell growth in relation to COX-2 expression and prostaglandin production. To establish the role of COX-2 in NSAID action, we constructed clones expressing different levels of COX-2 from SW480 cells. All five compounds inhibited DNA synthesis and/or induced apoptosis, each with a characteristic pattern. ID50s were very similar in all the cell lines and were independent of COX expression, except for the COX-1 inhibitor SC58560, which was least effective in HT29/HI1, the cell line expressing the highest level of COX-1 (ID50 70 μM; in other cells lines the ID50 was 15 μM). For all other compounds ID50 concentrations varied less than two-fold: 25–40, 40–90 and 150 μM for SC236, sulindac sulfide and sulindac sulfone, respectively. SC58125 was the weakest inhibitor, never causing >50% cell loss. All compounds modulated expression of Bcl-2 and Bak and activated caspase 3. Overexpression of COX-2 in SW480 cells protected them against induction of apoptosis by sulindac sulfide. The effect was restricted to clones producing high levels of prostaglandin E2. In summary, our data indicate that both COX-dependent and COX-independent mechanisms are involved in NSAID-induced growth in colorectal tumor cells. The concentrations necessary to inhibit growth were higher than serum concentrations that can be obtained in vivo, indicating that the therapeutic effect of NSAIDs cannot be explained by a direct effect of NSAIDs on the epithelial cells alone. For therapeutic purposes, compounds using different targets could be used to minimize side effects while optimizing therapeutic effect.