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  • J Oncol Res Treat,
  • DOI: 10.4172/aot.7.s1.1000002

The Predictive Role of Intra-Tumoral CD8+T Cells with Stem Cell-Like Properties in Response to and Efficacy of Anti-PD-1/L1 Treatment

Xia Fang*, Rongjuan Tang, Rongzhang Chen, Zhibing Luo, Xingya Xu, Shaoyong Gao and Ling Zheng
Department of Respiratory and Critical Care Medicine, Respiratory Intervention Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
*Corresponding Author : Xia Fang, Department of Respiratory and Critical Care Medicine, Respiratory Intervention Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China, Email: dilay_110@126.com

Received Date: Jan 19, 2022 / Published Date: Feb 15, 2022

Abstract

A Checkpoint Inhibitor-Based Immunotherapy (ICIs) has demonstrated outstanding efficacy in many solid tumors. However, some treated patients with positive expression of PD-L1 do not respond, and even develop hyper progression, and some patients with negative expression of PD-L1 can also benefit from immunotherapy combined with chemotherapy. There is growing need to identify biomarkers that will improve the selection of patients who will best respond to therapy. Intra-tumoral effective T cells are critical for anti-tumor effect, and some subpopulation of it have been verified as potential biomarkers for ICIs. In our previous study, a subset of intra-tumoral CD8+ T cells with stem-like properties has been identified as sensitive biomarker for predicting the response to and efficacy of PD-1/L1 blockade treatment with or without chemotherapy. In the current comment, the role and challenges of this cell subpopulation in anti-PD-1/L1 immunotherapy will be discussed.

Keywords: Non-small cell lung cancer; PD-1/L1 immunotherapy; CD8+ T cells; Biomarker

Citation: Fang X, Tang R, Chen R, Luo Z, Xu X, et al. (2022) The Predictive Role of Intra-Tumoral CD8+T Cells with Stem Cell-Like Properties in Response to and Efficacy of Anti-PD-1/L1 Treatment. J Oncol Res Treat S1: 002. Doi: 10.4172/aot.7.s1.1000002

Copyright: © 2022 Fang X, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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