Evidence map›Paper›PMID 42683414›Full record

ReviewFrontiers in immunology2026

The neuro-immune-vascular landscape of lung cancer brain metastasis: insights from organoid models.

Jiaojiao Li, Mingjun Xu, Lei Wang, Yan Yu

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 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

4 authors.

Jiaojiao LiDepartment of Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Mingjun XuDepartment of Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Lei WangDepartment of Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Yan YuDepartment of Oncology, Harbin Medical University Cancer Hospital, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer brain metastasis (LCBM) is a major cause of cancer-related mortality, driven by the restrictive blood-brain barrier (BBB), an immunosuppressive microenvironment, and dynamic metabolic reprogramming. Increasing evidence suggests that LCBM is governed by coordinated interactions among neural, immune, and vascular components that regulate metastatic colonization, progression, and immune evasion. However, conventional models fail to recapitulate this multicellular, spatially organized ecosystem, limiting mechanistic understanding. Recent advances in organoid technology provide a new paradigm for modeling LCBM. Integrative platforms, including cerebral organoid assembloids, vascularized microfluidic systems, and BBB models, enable reconstruction of key components and dynamic interactions within the brain metastatic niche. These systems have uncovered critical regulatory axes, such as astrocyte-driven colonization, neurovascular remodeling, and metabolic-immune coupling. Beyond structural modeling, organoid platforms enable functional interrogation of patient-specific therapeutic responses in physiologically relevant contexts, facilitating drug sensitivity testing, immunotherapy optimization, and multi-modal treatment modeling. Despite current limitations, organoid-based models provide a critical framework for dissecting the neuro-immune-vascular landscape of LCBM and bridging mechanistic insights with clinical translation, offering new opportunities for therapeutic innovation and personalized treatment.

Indexed as

Brain NeoplasmsLung NeoplasmsOrganoidsAnimalsBlood-Brain BarrierHumansTumor Microenvironmentblood–brain barrierbrain metastasislung cancer brain metastasisneuro–immune–vascularorganoids

Identifiers

PMID42683414
PMCPMC13531671

What OpenQuestion holds

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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.