Evidence map›Paper›PMID 42831080›Full record

ReviewiScience2026

Sonocavitation therapy for pancreatic cancer: Research progress, clinical application and future perspectives.

Yuan Wang, Shiyuan Yang, Shiti Shama, Rongsheng Zhao, Xiaolong Liang

Abstract readReview
In one paragraph

Review in iScience, 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

5 authors.

Yuan WangDepartment of Pharmacy, Peking University Third Hospital, Beijing 100191, China.
Shiyuan YangDepartment of Ultrasound, Peking University Third Hospital, Beijing 100191, China.
Shiti ShamaDepartment of Ultrasound, Peking University Third Hospital, Beijing 100191, China.
Rongsheng ZhaoDepartment of Pharmacy, Peking University Third Hospital, Beijing 100191, China.
Xiaolong LiangDepartment of Ultrasound, Peking University Third Hospital, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer (PC) remains one of the most lethal malignancies, characterized by a dense desmoplastic stroma, an immunosuppressive microenvironment, and poor response to conventional therapies. Sonocavitation therapy, based on ultrasound microbubble (USMB) technology, has emerged as a potential strategy to improve intratumoral drug delivery, remodel the tumor microenvironment (TME), and enhance chemotherapy, immunotherapy, gene therapy, and radiotherapy. Proposed mechanisms include sonoporation, cascade cavitation, vascular normalization, and mechano-acoustic remodeling of the stroma. Early clinical studies suggest that USMB-assisted chemotherapy is feasible and may improve disease control, although the evidence remains heterogeneous and is based largely on small, single-center or early-phase studies. Major barriers to translation include nonstandardized acoustic parameters, pharmacokinetic mismatch between microbubbles and co-administered drugs, incomplete representation of human disease in preclinical models, and limited long-term safety data. Future work should prioritize standardized acoustic dosing, biomarker-guided patient selection, clinically practical formulations, rigorous pharmacokinetic and biodistribution studies, and adequately powered randomized trials. This review summarizes the mechanistic rationale, preclinical evidence, and clinical progress of sonocavitation therapy in pancreatic cancer and outlines priorities for its clinical translation.

Indexed as

clinical translationdrug deliverypancreatic cancersonocavitation therapyultrasound microbubbles technology

Identifiers

PMID42831080
PMCPMC13634350

What OpenQuestion holds

Textmetadata
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.