A community challenge to predict clinical outcomes after immune checkpoint blockade in non-small cell lung cancer

A community challenge to predict clinical outcomes after immune checkpoint blockade in non-small cell lung cancer

Abstract Background Predictive biomarkers of immune checkpoint inhibitor (ICI) efficacy are currently lacking for non-small cell lung cancer (NSCLC). Here, we describe the results from the Anti–PD-1 Response Prediction DREAM Challenge, a crowdsourced initiative that enabled the assessment of predict...

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Bibliographic Details
Main Authors: Mike Mason, Óscar Lapuente-Santana, Anni S. Halkola, Wenyu Wang, Raghvendra Mall, Xu Xiao, Jacob Kaufman, Jingxin Fu, Jacob Pfeil, Jineta Banerjee, Verena Chung, Han Chang, Scott D. Chasalow, Hung Ying Lin, Rongrong Chai, Thomas Yu, Francesca Finotello, Tuomas Mirtti, Mikko I. Mäyränpää, Jie Bao, Emmy W. Verschuren, Eiman I. Ahmed, Michele Ceccarelli, Lance D. Miller, Gianni Monaco, Wouter R. L. Hendrickx, Shimaa Sherif, Lin Yang, Ming Tang, Shengqing Stan Gu, Wubing Zhang, Yi Zhang, Zexian Zeng, Avinash Das Sahu, Yang Liu, Wenxian Yang, Davide Bedognetti, Jing Tang, Federica Eduati, Teemu D. Laajala, William J. Geese, Justin Guinney, Joseph D. Szustakowski, Benjamin G. Vincent, David P. Carbone
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Journal of Translational Medicine
Subjects:
Non-small cell lung cancer
Immune checkpoint inhibitor
Programmed death-1
Programmed death ligand 1
Predictive model
Biomarkers
Online Access:https://doi.org/10.1186/s12967-023-04705-3

Internet

https://doi.org/10.1186/s12967-023-04705-3

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