BACKGROUND: Pathological response rate (pathRR) is a common endpoint used to assess the efficacy of preoperative therapy for gastric cancer. PathRR is estimated based on the percentage of the residual tumor area in the primary tumorous bed. Various cutoff definitions used in previous trials (e.g., 10, 33, 40, 50, 67 %) often impair the comparability of pathRRs between trials. METHODS: Individual patient data were used from four JCOG trials evaluating preoperative chemotherapy (JCOG0001, JCOG0002, JCOG0210, JCOG0405). Pathological specimens were evaluated from 173 out of 188 patients (92 %) who underwent surgery. Residual tumor area and primary tumorous beds were traced on a virtual microscopic slide by one pathologist and another confirmed these areas. The hazard ratio (HR) in overall survival was calculated for each cutoff percentage by stratified Cox regression analysis, including the study as a stratification factor, and concordance probability estimates (CPE) were calculated. RESULTS: The numbers of patients with 0%, 1-10 %, 11-33 %, 34-50 %, 51-66 %, and 67-100 % residual tumors were 8, 35, 33, 27, 23, and 47, respectively. HRs in 10, 33, 50, and 67 % cutoffs were 1.91, 1.70, 1.55, and 1.71 for the overall population, and CPEs were 0.56, 0.56, 0.55, and 0.55, respectively. In patients with R0 resection, HRs in 10, 33, 50, and 67 % cutoffs were 1.87, 1.54, 1.24, and 1.38, and CPEs were 0.56, 0.55, 0.52, and 0.52. In subgroup analyses, the 10 % cutoff did not predict survival well for type 4 (linitis plastica) tumors. CONCLUSIONS: The 10 % cutoff should be the global standard cutoff of %residual tumor to determine pathRR. PathRR might not be recommended for clinical trials where the main subjects are type 4 tumors.
BACKGROUND: Pathological response rate (pathRR) is a common endpoint used to assess the efficacy of preoperative therapy for gastric cancer. PathRR is estimated based on the percentage of the residual tumor area in the primary tumorous bed. Various cutoff definitions used in previous trials (e.g., 10, 33, 40, 50, 67 %) often impair the comparability of pathRRs between trials. METHODS: Individual patient data were used from four JCOG trials evaluating preoperative chemotherapy (JCOG0001, JCOG0002, JCOG0210, JCOG0405). Pathological specimens were evaluated from 173 out of 188 patients (92 %) who underwent surgery. Residual tumor area and primary tumorous beds were traced on a virtual microscopic slide by one pathologist and another confirmed these areas. The hazard ratio (HR) in overall survival was calculated for each cutoff percentage by stratified Cox regression analysis, including the study as a stratification factor, and concordance probability estimates (CPE) were calculated. RESULTS: The numbers of patients with 0%, 1-10 %, 11-33 %, 34-50 %, 51-66 %, and 67-100 % residual tumors were 8, 35, 33, 27, 23, and 47, respectively. HRs in 10, 33, 50, and 67 % cutoffs were 1.91, 1.70, 1.55, and 1.71 for the overall population, and CPEs were 0.56, 0.56, 0.55, and 0.55, respectively. In patients with R0 resection, HRs in 10, 33, 50, and 67 % cutoffs were 1.87, 1.54, 1.24, and 1.38, and CPEs were 0.56, 0.55, 0.52, and 0.52. In subgroup analyses, the 10 % cutoff did not predict survival well for type 4 (linitis plastica) tumors. CONCLUSIONS: The 10 % cutoff should be the global standard cutoff of %residual tumor to determine pathRR. PathRR might not be recommended for clinical trials where the main subjects are type 4 tumors.
Authors: J A Ajani; P F Mansfield; C H Crane; T T Wu; S Lunagomez; P M Lynch; N Janjan; B Feig; J Faust; J C Yao; R Nivers; J Morris; P W Pisters Journal: J Clin Oncol Date: 2005-02-20 Impact factor: 44.544
Authors: T Yoshikawa; K Omura; O Kobayashi; A Nashimoto; A Takabayashi; T Yamada; H Yamaue; M Fujii; T Yamaguchi; T Nakajima Journal: Eur J Surg Oncol Date: 2010-06 Impact factor: 4.424
Authors: M Pera; R Gallego; C Montagut; M Martín-Richard; M Iglesias; C Conill; A Reig; C Balagué; L Pétriz; D Momblan; J Bellmunt; J Maurel Journal: Ann Oncol Date: 2011-06-07 Impact factor: 32.976
Authors: J A Ajani; P F Mansfield; N Janjan; J Morris; P W Pisters; P M Lynch; B Feig; R Myerson; R Nivers; D S Cohen; L L Gunderson Journal: J Clin Oncol Date: 2004-07-15 Impact factor: 44.544
Authors: T Yoshikawa; M Sasako; S Yamamoto; T Sano; H Imamura; K Fujitani; H Oshita; S Ito; Y Kawashima; N Fukushima Journal: Br J Surg Date: 2009-09 Impact factor: 6.939