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Predictive Effect of Spatial Protein Signature in Advanced Non-small Cell Lung Cancer Patients Treated with Bispecific Antibody (KN046) Immunotherapy

Authors :
Xinyu Song
Anwen Xiong
Tao Jiang
Peixin Chen
Xuefei Li
Fengying Wu
Xiaoshen Zhang
Zhikai Zhao
Lei Cheng
Chao Zhao
Zhehai Wang
Dawei Chen
Xiaoqian Wu
Shengqiang Xu
Ting Xu
Xiaofan Su
Caicun Zhou
Publication Year :
2022
Publisher :
Research Square Platform LLC, 2022.

Abstract

Background Immunotherapy, targeting programmed death ligand-1 (PD-L1) and cytotoxic T lymphocyte-associated antigen-4, has shown significant antitumor activity and favourable safety profile in patients with advanced non-small cell lung cancer (NSCLC), while predictive biomarkers remain largely unknown. Here, we investigated the predictive effect of spatial protein expression signature of KN046, a bispecific antibody (bsAb), as a treatment in advanced NSCLC patients. Methods Digital spatial profiling was used to investigate protein expression in both tumor and stroma areas of formalin-fixed paraffin-embedded sections at baseline. Regions of interests (ROIs) were recorded after tricolor fluorescence labeling. The geometric means of different protein expression of different response groups were combined to construct the tumor signature, the stroma signature and the tumor + stroma signature. The accurate score was determined by receiver operating characteristic curve and the area under the curve (AUC). Results Eight patients with partial response (PR) and nine with progressive disease (PD) were enrolled in the study. Among 133 ROIs, 14 proteins expressed differently between PR and PD groups (both P P P P P P

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........d51bbe35bc86bb2530161f72d0c39ee4
Full Text :
https://doi.org/10.21203/rs.3.rs-1553755/v1