Evidence map›Paper›PMID 39498880›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

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 and 7 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Weibiao ZengInstitute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Jin WangDepartment of Pharmaceutics, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Zhike ChenInstitute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Jian YangInstitute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Ao ZhuDepartment of Pharmaceutics, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Yan ZhengDepartment of Pharmaceutics, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Xianlan ChenDepartment of Pharmaceutics, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Yuhan LiuDepartment of Pharmaceutics, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Leilei WuDepartment of Radiotherapy, Shanghai Pulmonary Hospital of Tongji University, Shanghai, 200000, P. R. China.
Yufeng XieInstitute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Sheng JuInstitute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Jun ChenInstitute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Cheng DingInstitute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Chang LiInstitute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Xin TongInstitute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Mi LiuDepartment of Pharmaceutics, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.ORCID 0000-0002-5185-5872
Jun ZhaoInstitute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.

Funding

Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics DevelopmentNational Natural Science Foundation of China 82303450Natural Science Foundation of Jiangsu Province BK20220250Priority Academic Program Development (PAPD) of Jiangsu Higher Education InstitutionsSuzhou Ersheng Biopharmaceutical Co., Ltd.Suzhou Municipal Basic Research Special Project SSD2024100Wuxi Boston Biopharmaceutical Co., Ltd.
6 · The paper itself

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.

Indexed as

Antigens, NeoplasmImmunotherapyLung NeoplasmsNanoparticlesT-LymphocytesFemaleHumansMaleAntigens, Neoplasmantigen‐specific T cellsbiomarkercancerimmunotherapytumor antigen

Identifiers

PMID39498880
PMCPMC11727128

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.