Evidence map›Paper›PMID 41356695›Full record

ArticleGastroenterology report2025

In-depth plasma proteomics reveals the dynamic changes and prognostic biomarkers for chimeric antigen receptor-glypican-3 T-cell therapy in patients with hepatocellular carcinoma.

Xudong Zhu, Ziliang Yang, Bin Li, Zhou Tong, Junyi Yan, Lei Song, Xuanwen Bao, Libin Hong, Yuzhi Jin, Lina Meng and 12 more

Abstract read
In one paragraph

Article in Gastroenterology report, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Xudong ZhuDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Ziliang YangDepartment of Liver Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, P. R. China.
Bin LiDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Zhou TongDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Junyi YanCARsgen Therapeutics Co., Ltd., Shanghai, P. R. China.
Lei SongTianjin Key Laboratory of Clinical Multi-Omics, Tianjin, P. R. China.
Xuanwen BaoDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Libin HongDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Yuzhi JinDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Lina MengTianjin Key Laboratory of Clinical Multi-Omics, Tianjin, P. R. China.
Lulu LiuDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Xiaomeng DaiDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Tianyi ZhaoTianjin Key Laboratory of Clinical Multi-Omics, Tianjin, P. R. China.
Shiting WenDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Haokang QinDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Sujie JinDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Peng ZhaoDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Yi ZhengDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Weijia FangDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Zonghai LiCARsgen Therapeutics Co., Ltd., Shanghai, P. R. China.ORCID https://orcid.org/0000-0003-2448-3636
Xuqi SunDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.
Tingbo LiangDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China.ORCID https://orcid.org/0000-0003-0143-3353

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chimeric antigen receptor (CAR) T-cell therapy has shown notable advancements in the treatment of solid tumors. Nevertheless, its effectiveness is limited to a small group of patients, highlighting the need for predictive biomarkers. This study aimed to investigate biomarkers associated with the efficacy of CAR-T therapy in hepatocellular carcinoma (HCC). Methods: We prospectively collected plasma samples from 17 patients with HCC before and after they underwent CAR-glypican-3 (GPC3) T-cell therapy as part of three clinical trials. Plasma proteomic profiling was conducted by using liquid chromatography-mass spectrometry. We examined sequential plasma samples to evaluate the impact of CAR T-cell therapy on the systemic plasma proteome. Additionally, we compared the pretreatment plasma protein profiles between groups with and without clinical benefit (CB) to identify proteins linked to treatment efficacy. The Cox proportional hazard model was used to evaluate the relationship between plasma protein levels and survival outcomes. Results: Among 5337 plasma proteins, 225 exhibited significant changes following CAR-GPC3 T-cell therapy. The CB group showed an increased expression in proteins related to the type I interferon signaling pathway, T-cell proliferation and activation, tumor necrosis factor production, and antigen processing and presentation. In addition, plasma proteins were significantly associated with survival outcomes, whereas no significant association was observed between clinical variables and prognosis. Conclusions: Plasma proteomics not only captured CAR-GPC3-driven plasma microenvironment remodeling but also identified baseline proteins predictive of CB and survival, which were superior to clinical variables, thus constituting a candidate biomarker panel for HCC patient selection and response monitoring.

Indexed as

CAR T-cell therapyhepatocellular carcinomaprognosticproteomics

Identifiers

PMID41356695
PMCPMC12679401

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