TY - JOUR
T1 - Predictive value of radiological response, pathological response and relapse-free survival for overall survival in neoadjuvant immunotherapy trials
T2 - pooled analysis of 29 clinical trials
AU - Nie, Runcong
AU - Chen, Foping
AU - Provencio, Mariano
AU - Wang, Yun
AU - van den Ende, Tom
AU - van Laarhoven, Hanneke W. M.
AU - Yuan, Shuqiang
AU - Pless, Miklos
AU - Hayoz, Stefanie
AU - Zhou, Zhiwei
AU - Li, Yuanfang
AU - Rothschild, Sacha I.
AU - Cai, Muyan
N1 - Funding Information:
This work was supported by the grants of the National Key R&D Program of China (2017YFC1309001), Guangzhou Science and Technology Plan Projects (Health Medical Collaborative Innovation Program of Guangzhou; 201803040019 and 202201010885), National Natural Science Foundation of China (82103586, 81730072, 81672407, 81872001, 81902411 and 81772589), and Beijing Xisike Clinical Oncology Research Foundation (Y-tongshu2021/qn-0227).
Funding Information:
This work was supported by the grants of the National Key R&D Program of China ( 2017YFC1309001 ), Guangzhou Science and Technology Plan Projects ( Health Medical Collaborative Innovation Program of Guangzhou ; 201803040019 and 202201010885 ), National Natural Science Foundation of China ( 82103586 , 81730072 , 81672407 , 81872001 , 81902411 and 81772589 ), and Beijing Xisike Clinical Oncology Research Foundation ( Y-tongshu2021/qn-0227 ).
Publisher Copyright:
© 2023 The Authors
PY - 2023/6
Y1 - 2023/6
N2 - Background: An increasing number of clinical trials are being conducted exploring the efficacy of neoadjuvant immune checkpoint inhibitors. Surrogate end-points for overall survival (OS) are urgently needed. Methods: Phase II or III trials of neoadjuvant immunotherapy that reported data on OS and surrogate end-points were identified from January 1, 2000, to November 25, 2022. Individual patient data, and trial-level data were requested from corresponding authors or extracted from eligible trials. At the individual level, correlations between radiological and pathological response and OS were measured by the Cox model and quantified by hazard ratio (HR). C-statistic was used to quantify the predictive performance of radiological and pathological response for OS. The coefficient of determination (R2) between RFS and OS was evaluated by a bivariate survival model. Results: A total of 29 trials reporting 2901 patients were included. ORR correlated with improved OS (3-year OS: 87.0% versus 70.4% for ORR versus non-ORR, respectively; HR, 0.34, 95% confidence interval [CI], 0.17–0.68). The HRs for OS in patients achieving MPR and pCR were 0.24 (95% CI, 0.12–0.46) and 0.13 (95% CI, 0.05–0.36). The survival benefit maintained after adjusting tumour type. C-statistics of ORR, MPR and pCR were 0.63, 0.63 and 0.65, respectively. The strength of association between RFS and OS was strong (R2 = 0.88, 95% CI, 0.79–0.94). Conclusions: These findings suggest that ORR, MPR, pCR and RFS are valid predictors for OS when using neoadjuvant immune checkpoint inhibitors. Moreover, MPR, pCR and RFS may be the most optimal surrogates for OS.
AB - Background: An increasing number of clinical trials are being conducted exploring the efficacy of neoadjuvant immune checkpoint inhibitors. Surrogate end-points for overall survival (OS) are urgently needed. Methods: Phase II or III trials of neoadjuvant immunotherapy that reported data on OS and surrogate end-points were identified from January 1, 2000, to November 25, 2022. Individual patient data, and trial-level data were requested from corresponding authors or extracted from eligible trials. At the individual level, correlations between radiological and pathological response and OS were measured by the Cox model and quantified by hazard ratio (HR). C-statistic was used to quantify the predictive performance of radiological and pathological response for OS. The coefficient of determination (R2) between RFS and OS was evaluated by a bivariate survival model. Results: A total of 29 trials reporting 2901 patients were included. ORR correlated with improved OS (3-year OS: 87.0% versus 70.4% for ORR versus non-ORR, respectively; HR, 0.34, 95% confidence interval [CI], 0.17–0.68). The HRs for OS in patients achieving MPR and pCR were 0.24 (95% CI, 0.12–0.46) and 0.13 (95% CI, 0.05–0.36). The survival benefit maintained after adjusting tumour type. C-statistics of ORR, MPR and pCR were 0.63, 0.63 and 0.65, respectively. The strength of association between RFS and OS was strong (R2 = 0.88, 95% CI, 0.79–0.94). Conclusions: These findings suggest that ORR, MPR, pCR and RFS are valid predictors for OS when using neoadjuvant immune checkpoint inhibitors. Moreover, MPR, pCR and RFS may be the most optimal surrogates for OS.
KW - End-point
KW - Immunotherapy
KW - Neoadjuvant
KW - Overall survival
KW - Surrogate
UR - http://www.scopus.com/inward/record.url?scp=85152589525&partnerID=8YFLogxK
U2 - 10.1016/j.ejca.2023.03.010
DO - 10.1016/j.ejca.2023.03.010
M3 - Article
C2 - 37062625
SN - 0959-8049
VL - 186
SP - 211
EP - 221
JO - European Journal of Cancer
JF - European Journal of Cancer
ER -