journal article·2025-01Open access

Efficient Predictor for Immunotherapy Efficacy: Detecting Pan‐Clones Effector Tumor Antigen‐Specific T Cells in Blood by Nanoparticles Loading Whole Tumor Antigens

Weibiao Zeng, Jin Wang, Zhike Chen, Jian Yang, Ao Zhu, Yan Zheng, Xianlan Chen, Yuhan Liu, Leilei Wu, Yufeng Xie, Sheng Ju, Jun Chen, Cheng Ding, Chang Li, Xin Tong, Mi Liu, Jun Zhao

Advanced Science· Volume 12· Issue 2

Abstract

Abstract Cancer involves tumor cells and tumor‐specific immunity. The ability to accurately quantify tumor‐specific immunity is limited. Most immunotherapies function by activating new effector tumor antigen‐specific T cells (ETASTs) or reactivating the pre‐existing ETASTs repertoire. Therefore, the amount of ETASTs can be used to characterize immunotherapy efficacy. Tumor antigens are highly heterogeneous and detecting most ETASTs is challenging. Therefore, nanoparticles loading whole‐cell tumor antigens are used to activate and detect pan‐clones ETASTs in the blood. The differences between ETASTs and other T cells are transformed into activated and non‐activated states. By measuring markers of the activated status and cytotoxic function of ETASTs, it can distinguish ETASTs from other T cells. ETASTs in patients with lung cancer are higher than those in healthy individuals and those with benign pulmonary nodules. Therapeutic efficacy positively correlated with the number of ETASTs in the blood. ETATS levels increase only in the blood of patients who respond to immunotherapy. Single‐cell sequencing studies validated these findings. This study provides a highly accurate, specific, non‐invasive, and efficient biomarker for predicting immunotherapy efficacy in lung and other cancers. This method can also be applied to evaluate the efficacy of other treatments, such as radiotherapy, oncolytic viruses, and nanomedicine‐based therapies.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Immunotherapy and Immune Responses · Monoclonal and Polyclonal Antibodies Research · CAR-T cell therapy research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Thoracic Surgery The First Affiliated Hospital of Soochow University Soochow University Suzhou Jiangsu 215123 P. R. China

Department of Pharmaceutics College of Pharmaceutical Sciences Soochow University Suzhou Jiangsu 215123 P. R. China

Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University Soochow University Suzhou Jiangsu 215123 P. R. China

Department of Thoracic Surgery Shanghai General Hospital Shanghai Jiaotong University School of Medicine Shanghai 200080 P. R. China

Institute of Minimally Invasive Thoracic Cancer Therapy and Translational Research Soochow University Suzhou Jiangsu 215123 P. R. China

Department of Radiotherapy Shanghai Pulmonary Hospital of Tongji University Shanghai 200000 P. R. China

Suzhou Ersheng Biopharmaceutical Co., Ltd Suzhou 215123 P. R. China

Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development Soochow University Suzhou 215123 P. R. China

Wuxi Boston Biopharmaceutical Co., Ltd Wuxi 214125 P. R. China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Jiangsu Province

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