Evidence map›Paper›PMID 40520576›Full record

ReviewMolecular therapy. Oncology2025

Regulation of the brain tumor microenvironment by focused ultrasound.

Kang Fu, Huijing Hu, Xiaodong Zhou, Le Li, Li Yan

Abstract readReview
In one paragraph

Review in Molecular therapy. Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

5 authors.

Kang FuInstitute of Medical Research, Northwestern Polytechnical University, Xi'an 710072, China.
Huijing HuInstitute of Medical Research, Northwestern Polytechnical University, Xi'an 710072, China.
Xiaodong ZhouUltrasound Diagnosis & Treatment Center, Xi'an International Medical Center Hospital, Xi'an 710100, China.
Le LiInstitute of Medical Research, Northwestern Polytechnical University, Xi'an 710072, China.
Li YanInstitute of Medical Research, Northwestern Polytechnical University, Xi'an 710072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma and other high-grade primary malignant brain tumors are a serious threat to the life and health of patients; consequently, their accurate diagnosis and treatment are crucial. Brain tumors are usually treated by surgical resection, radiotherapy and drug chemotherapy; however, such treatments have side effects such as trauma, infection, and radiation exposure. Furthermore, owing to limitations in conditions such as the skull and blood-brain barrier, noninvasive treatment and diagnosis of brain tumors have been challenging. In recent years, focused ultrasound (FUS) technology has shown great advantages and application potential because of its noninvasive and energy-focusing characteristics in brain tumors. From the perspective of the brain tumor microenvironment, FUS can produce mechanical and thermal effects by delivering sound waves to brain tissue; these sound waves can induce blood-brain barrier opening, radiation sensitization, targeted substance delivery, immune enhancement, angiogenesis and destruction, oxidative stress, interstitial hydraulic regulation, and brain tumor marker sonobiopsy. The feasibility and safety data from both animal models and clinical trials support FUS as having great potential for use in the diagnosis and treatment of brain tumors.

Indexed as

brain tumorsdiagnosisfocused ultrasoundmicroenvironmentMT: Regular IssueregulationtherapyTMEtumor microenvironmentultrasound

Identifiers

PMID40520576
PMCPMC12166810

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.