Digital Versus Manual PD-L1 Scoring in Advanced NSCLC From the IMpower110 and IMpower150 Trials.

Roy S Herbst¹, Hen Prizant², Daniel Ruderman², Jake Conway³, John Shamshoian³, Hartmut Koeppen², Wei Zou², Filippo de Marinis⁴, Giuseppe Giaccone⁵, Jacek Jassem⁶, David R Spigel⁷, Mark A Socinski⁸, Martin Reck⁹, Luciana Molinero², Marcus Ballinger², David Shames², Michael Griffin³, Limin Yu³, Nishant Agrawal³, Andrew Beck³, Ilan Wapinski³, Stephanie Hennek³, Jennifer Giltnane², Minu K Srivastava²

¹Yale School of Medicine and Yale Cancer Center, New Haven, Connecticut. Electronic address: roy.herbst@yale.edu.

²Genentech Inc., South San Francisco, California.

³PathAI, Boston, Massachusetts.

⁴Division of Thoracic Oncology, European Institute of Oncology IRCCS, Milan, Italy.

⁵Meyer Cancer Center, Weill Cornell Medicine, New York, New York.

⁶Department of Oncology and Radiotherapy, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland.

⁷Sarah Cannon Research Institute, Nashville, Tennessee.

⁸AdventHealth Cancer Institute, Orlando, Florida.

⁹Lung Clinic Grosshansdorf, Airway Research Center North, German Center of Lung Research, Grosshansdorf, Germany.

PubMed DOI

Abstract

INTRODUCTION: Treatment selection in patients with advanced NSCLC is based on programmed death-ligand 1 (PD-L1) expression, which is usually scored manually and is subject to intra- and inter-pathologist variability. A PD-L1 clone-agnostic artificial intelligence (AI) model for AI-based measurement of PD-L1 (AIM-PD-L1) was developed and assessed in advanced NSCLC using clinical samples from two ph…

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