2022 World Conference on Lung Cancer (ePosters)-EP16.01-020. Predictive Effect of Spatial Protein Signature in Advanced NSCLC Receiving Immunotherapy with a Bispecific Antibody

EP16.01-020. Predictive Effect of Spatial Protein Signature in Advanced NSCLC Receiving Immunotherapy with a Bispecific Antibody

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In this study, Xinyu Song explores the predictive effect of spatial protein signature in advanced non-small cell lung cancer (NSCLC) patients receiving immunotherapy with a bispecific antibody. The research focuses on the expression of immune-related proteins in different spatial regions of tumor tissue and aims to identify a signature that can better predict the response to the immunotherapy.<br /><br />The study is conducted at the Shanghai Pulmonary Hospital, School of Medicine, Tongji University in China under the guidance of Professor Caicun Zhou from the Department of Medical Oncology. Xinyu Song's research interests include targeted therapy, immunotherapy, and therapeutic biomarkers exploration for lung cancer.<br /><br />The key findings of the study indicate that there are differences in the expression of immune-related proteins in different spatial regions of tumor tissue. Specifically, the signature identified in the stroma region with Tim-3, PD-L1, CD11c, and B2M proteins shows promise in predicting the response to the bispecific antibody targeting PD-L1 and CTLA-4.<br /><br />The study utilizes Digital Spatial Profiling (DSP) to analyze the spatial heterogeneity of tumor tissues and overcome the limitations of previous methods that relied on PD-L1 expression and TMB (tumor mutational burden) detection. By considering the spatial distribution of proteins, the predictive signature provides a more comprehensive understanding of the tumor microenvironment and its relation to the effectiveness of immunotherapy.<br /><br />In summary, Xinyu Song's research focuses on the predictive effect of a spatial protein signature in advanced NSCLC patients receiving immunotherapy with a bispecific antibody. The study highlights the importance of considering spatial heterogeneity in tumor tissues and identifies a signature that shows promise in predicting the response to targeted immunotherapy.

Asset Subtitle

Xinyu Song

Meta Tag

Speaker Xinyu Song

Topic Tumour Biology and Biomarkers - Immune Biology & Immunotherapy

Keywords

Xinyu Song

spatial protein signature

non-small cell lung cancer

NSCLC

immunotherapy

bispecific antibody

immune-related proteins

tumor tissue

predictive signature

Digital Spatial Profiling