Evidence map›Paper›PMID 40574854›Full record

ReviewFrontiers in immunology2025

Breaking down physical barriers: strategies to improve lymphocyte infiltration for effective neoantigen-based therapies.

Ting-Ting Chen, Xiong Li, Yi Zhang, Xiao-Juan Kang, Shu-Fang Zhang, Tong Zhang, Deji Sangmao, Ya-Juan Zhu, De-Kui Zhang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Technical review of artificial intelligence in TCR-T therapy.Journal of the National Cancer Center · 2026
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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

9 authors.

Ting-Ting Chen *Department of Gastroenterology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, China.
Xiong Li *Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yi Zhang *The First Clinical Medical College of Lanzhou University, Lanzhou, China.
Xiao-Juan KangDepartment of Gastroenterology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, China.
Shu-Fang ZhangDepartment of Gastroenterology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, China.
Tong ZhangDepartment of Gastroenterology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, China.
Deji SangmaoDepartment of Gastroenterology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, China.
Ya-Juan ZhuDepartment of Biotherapy and Cancer Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Sichuan, Chengdu, China.
De-Kui ZhangDepartment of Gastroenterology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cancer genomic instability drives the generation of neoantigens, making them ideal targets for immunotherapy. Neoantigen-specific tumor-infiltrating lymphocytes achieve precise tumor cell killing by recognizing neoantigens on the tumor surface, but their efficacy is limited by complex physical barriers within the tumor microenvironment. These barriers not only directly impede TIL migration and infiltration but also synergize with immunosuppressive signals to weaken antitumor immune responses. The tumor extracellular matrix forms a dense fibrous network due to enhanced collagen crosslinking, pathological hyaluronic acid deposition, and increased stiffness, hindering TIL mobility. Aberrant tumor vasculature, characterized by hyperpermeability and elevated interstitial fluid pressure, collaborates with pro-fibrotic factors, such as VEGF, TGF-β secreted by cancer-associated fibroblasts and regulatory T cells to create mechanical compression barriers. This review systematically explores the composition, molecular mechanisms, and therapeutic strategies targeting these physical barriers, providing novel insights for neoantigen-based therapies. Future efforts should integrate biomechanical interventions with immunotherapy, elucidate the interplay between mechanical signaling and immunometabolism, and optimize multi-target combinatorial approaches to enhance the clinical translation potential of neoantigen therapies.

Indexed as

Antigens, NeoplasmImmunotherapyLymphocytes, Tumor-InfiltratingNeoplasmsAnimalsExtracellular MatrixHumansTumor MicroenvironmentAntigens, Neoplasmcancer-associated fibroblastsextracellular matrixinterstitial fluid pressureneoantigentumor-infiltrating lymphocytes

Identifiers

PMID40574854
PMCPMC12198227

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Registered trials

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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.