BACKGROUND: Some studies (but not others) suggested that high doses are beneficial in small cell lung cancer (SCLC). We hypothesized that dose-response curve (DRC) shape reflects resistance mechanisms. METHODS: We reviewed published SCLC clinical trials and converted response rates into estimated mean tumor cell kill, assuming killing is proportional to reduction in tumor volume. Mean % cell survival was plotted versus planned dose intensity. Nonlinear and linear meta-regression analyses (weighted according to the number of patients in each study) were used to assess DRC characteristics. RESULTS: Although associations between dose and cell survival were not statistically significant, DRCs sloped downward for five of seven agents across all doses and for all seven when lowest doses were excluded. Maximum mean cell kill across all drugs and doses was approximately 90%, suggesting that there may be a maximum achievable tumor cell kill irrespective of number of agents or drug doses. CONCLUSIONS: Downward DRC slopes suggest that maintaining relatively high doses may possibly maximize palliation, although the associations between dose and slope did not achieve statistical significance, and slopes for most drugs tended to be shallow. DRC flattening at higher doses would preclude cure and would suggest that "saturable passive resistance" (deficiency of factors required for cell killing) limits maximum achievable cell kill. An example of factors that could flatten the DRC at higher doses and lead to saturable passive resistance would be presence of quiescent, noncycling cells.
BACKGROUND: Some studies (but not others) suggested that high doses are beneficial in small cell lung cancer (SCLC). We hypothesized that dose-response curve (DRC) shape reflects resistance mechanisms. METHODS: We reviewed published SCLC clinical trials and converted response rates into estimated mean tumor cell kill, assuming killing is proportional to reduction in tumor volume. Mean % cell survival was plotted versus planned dose intensity. Nonlinear and linear meta-regression analyses (weighted according to the number of patients in each study) were used to assess DRC characteristics. RESULTS: Although associations between dose and cell survival were not statistically significant, DRCs sloped downward for five of seven agents across all doses and for all seven when lowest doses were excluded. Maximum mean cell kill across all drugs and doses was approximately 90%, suggesting that there may be a maximum achievable tumor cell kill irrespective of number of agents or drug doses. CONCLUSIONS: Downward DRC slopes suggest that maintaining relatively high doses may possibly maximize palliation, although the associations between dose and slope did not achieve statistical significance, and slopes for most drugs tended to be shallow. DRC flattening at higher doses would preclude cure and would suggest that "saturable passive resistance" (deficiency of factors required for cell killing) limits maximum achievable cell kill. An example of factors that could flatten the DRC at higher doses and lead to saturable passive resistance would be presence of quiescent, noncycling cells.
Authors: E Kánitz; K Kolaric; J Jassem; Z Mechl; M Pawlicki; G Ringwald; J Rolski; Z Schoket; D Vukas; E Kaplan Journal: Oncology Date: 1992 Impact factor: 2.935
Authors: H Miyamoto; Y Kawakami; T Arimoto; M Asakawa; A Suzuki; T Fujikane; S Onodera; T Nakabayashi; S Yasuda; T Shimizu Journal: Gan To Kagaku Ryoho Date: 1991-06
Authors: R Arriagada; T Le Chevalier; J P Pignon; A Rivière; I Monnet; P Chomy; C Tuchais; M Tarayre; P Ruffié Journal: N Engl J Med Date: 1993-12-16 Impact factor: 91.245
Authors: S D Luikart; M Goutsou; E D Mitchell; D A Van Echo; C R Modeas; K J Propert; J O'Donnell; S Difino; M C Perry; M R Green Journal: Am J Clin Oncol Date: 1993-04 Impact factor: 2.339
Authors: J P Sculier; M Paesmans; G Bureau; G Dabouis; P Libert; G Vandermoten; O Van Cutsem; M C Berchier; F Ries; J Michel Journal: J Clin Oncol Date: 1993-10 Impact factor: 44.544
Authors: J Aisner; M Y Whitacre; D R Budman; K Propert; G Strauss; D A Van Echo; M Perry Journal: Cancer Chemother Pharmacol Date: 1992 Impact factor: 3.333