Evidence map›Paper›PMID 41869289›Full record

ReviewResearch (Washington, D.C.)2026

A Bioinspired Approach to Next-Generation Vaccines in Solid Tumors with Engineered Cell Membranes.

Weiyue Zhang, Maike Chen, Xin Huang

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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

3 authors.

Weiyue ZhangDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.ORCID https://orcid.org/0000-0001-8370-0421
Maike ChenDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Xin HuangDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.ORCID https://orcid.org/0000-0002-0413-3340

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In solid tumors, the immunosuppressive tumor microenvironment and antigenic heterogeneity pose important challenges for effective immunotherapy, often leading to limited T-cell infiltration and inadequate immune activation. To overcome these barriers in solid tumors, the development of next-generation vaccines capable of eliciting robust and durable anti-tumor immunity has constituted a major focus in the clinic. A promising strategy involves a bioinspired approach that functionalizes synthetic nanocarriers with native cell membranes. These engineered platforms are designed to preserve the surface properties of native cell membranes (immune cells, nonimmune cells, and hybrid cell membranes) to enhance antigen presentation, prolong systemic circulation, and improve biocompatibility. This study systematically examines the design principles and mechanisms of bioinspired vaccines with native cell membranes, highlighting their capability to integrate multiple antigenic and adjuvant signals for superior antigen presentation and T-cell activation. We further explore the synergistic therapeutic effects of the next-generation vaccines when combined with common anti-tumor therapies. Moreover, the primary challenges for their clinical translation in solid tumors are critically discussed. These bioinspired nanoplatforms represent a transformative direction for developing more effective and personalized immunotherapies for solid tumors.

Identifiers

PMID41869289
PMCPMC13003158

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.