Predictive Value of Radiological Response, Pathological Response and Relapse-Free Survival for Overall Survival in Neoadjuvant Immunotherapy Trials: Meta-Analyses of Individual Patient Data

26 Pages Posted: 2 Sep 2022

See all articles by Runcong Nie

Runcong Nie

Sun Yat-sen University (SYSU) - Department of Gastric Surgery

Foping Chen

Sun Yat-sen University (SYSU) - Department of Radiology

Mariano Provencio

Universidad Autónoma de Madrid - Medical Oncology Department

Yun Wang

Sun Yat-sen University (SYSU) - Department of Hematologic Oncology

Tom van den Ende

University of Amsterdam - Cancer Center Amsterdam

H.W.M. van Laarhoven

University of Amsterdam - Cancer Center Amsterdam

Shu-Qiang Yuan

Sun Yat-sen University (SYSU) - Department of Gastric Surgery

Miklos Pless

Cantonal Hospital Winterthur

Stefanie Hayoz

Swiss Group for Clinical Cancer Research (SAKK) Coordinating Center

Zhiwei Zhou

Sun Yat-sen University (SYSU) - Department of Gastric Surgery; Sun Yat-sen University (SYSU) - State Key Laboratory of Oncology in South China

Yuan-Fang Li

Sun Yat-sen University (SYSU) - Department of Gastric Surgery

Sacha I. Rothschild

University of Basel - University Hospital Basel

Muyan Cai

Sun Yat-sen University (SYSU) - Department of Pathology

Abstract

Background: An increasing number of clinical trials are being conducted exploring the efficacy of neoadjuvant immune checkpoint inhibitors. Surrogate endpoints for overall survival (OS) are urgently needed.

Methods: Phase II or III trials of neoadjuvant immunotherapy that reported data on OS and surrogate endpoints were identified from January 1, 2000, to November 20, 2021. Individual patient data were requested from corresponding authors or extracted from eligible trials. At the individual level, associations 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: Thirteen trials reporting 534 patients were included. ORR correlated with improved OS (3-years OS: 87.4% versus 72.0% for ORR versus non-ORR, respectively; HR, 0.37, 95% CI, 0.18-0.77). The HRs for OS in patients achieving MPR and pCR were 0.25 (95% CI, 0.11-0.55) and 0.15 (95% CI, 0.05-0.50). The survival benefit maintained after adjusting tumor type. C-statistics of ORR, MPR and pCR were 0.62, 0.64 and 0.62, respectively. The strength of association between RFS and OS was strong (R 2  = 0.89, 95% CI, 0.79-0.95).

Conclusions: The findings of this meta-analysis 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.

Note:
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), National Natural Science Foundation of China (82103586,81730072, 81672407, 81872001, 81902411 and 81772589).

Conflict of Interests: The authors declare that they have no competing interests.

Keywords: neoadjuvant, immune checkpoint inhibitor, surrogate, overall survival

Suggested Citation

Nie, Runcong and Chen, Foping and Provencio, Mariano and Wang, Yun and Ende, Tom van den and van Laarhoven, H.W.M. and Yuan, Shu-Qiang and Pless, Miklos and Hayoz, Stefanie and Zhou, Zhiwei and Li, Yuan-Fang and Rothschild, Sacha I. and Cai, Muyan, Predictive Value of Radiological Response, Pathological Response and Relapse-Free Survival for Overall Survival in Neoadjuvant Immunotherapy Trials: Meta-Analyses of Individual Patient Data. Available at SSRN: https://ssrn.com/abstract=4195924 or http://dx.doi.org/10.2139/ssrn.4195924

Runcong Nie (Contact Author)

Sun Yat-sen University (SYSU) - Department of Gastric Surgery ( email )

Foping Chen

Sun Yat-sen University (SYSU) - Department of Radiology ( email )

Mariano Provencio

Universidad Autónoma de Madrid - Medical Oncology Department ( email )

Madrid
Spain

Yun Wang

Sun Yat-sen University (SYSU) - Department of Hematologic Oncology ( email )

Tom van den Ende

University of Amsterdam - Cancer Center Amsterdam ( email )

H.W.M. Van Laarhoven

University of Amsterdam - Cancer Center Amsterdam ( email )

Shu-Qiang Yuan

Sun Yat-sen University (SYSU) - Department of Gastric Surgery ( email )

Miklos Pless

Cantonal Hospital Winterthur

Winterthur
Switzerland

Stefanie Hayoz

Swiss Group for Clinical Cancer Research (SAKK) Coordinating Center ( email )

Zhiwei Zhou

Sun Yat-sen University (SYSU) - Department of Gastric Surgery ( email )

Guangzhou
China

Sun Yat-sen University (SYSU) - State Key Laboratory of Oncology in South China ( email )

Guangzhou, 510060
China

Yuan-Fang Li

Sun Yat-sen University (SYSU) - Department of Gastric Surgery ( email )

Sacha I. Rothschild

University of Basel - University Hospital Basel

Wilhelm-Klein-Strasse 27
Basel, 4025
Switzerland

Muyan Cai

Sun Yat-sen University (SYSU) - Department of Pathology

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