Evidence map›Paper›PMID 41788857›Full record

ArticleBiomaterials research2026

Versatile Nanotherapeutics for Enhancing Sonodynamic Therapy/Chemotherapy of Thyroid Cancer through Remodeling Tumor Microenvironment and Synergistic Reactive Oxygen Species Augment.

Dan Wang, Lei Sun, Juan Wang, Lirong Wang, Zhongyu Wang, Yutong Zhang, Qi Zhou, Yuhang Chen, Jue Jiang

Abstract read
In one paragraph

Article in Biomaterials research, 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

9 authors.

Dan WangDepartment of Ultrasound, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.
Lei SunDepartment of Ultrasound, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.
Juan WangDepartment of Ultrasound, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.
Lirong WangDepartment of Ultrasound, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.
Zhongyu WangDepartment of Urology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.
Yutong ZhangDepartment of Ultrasound, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.
Qi ZhouDepartment of Ultrasound, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.
Yuhang ChenDepartment of Cardiovascular Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.ORCID https://orcid.org/0009-0005-5631-4636
Jue JiangDepartment of Ultrasound, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaplastic thyroid carcinoma (ATC), as the most malignant pathological type, is prone to local invasion and even distant metastasis with a poor prognosis and a high recurrence rate. Herein, we developed an iron-based metal organic framework (FL@M) as an effective sonosensitizer and biomimetic nanocarrier through the incorporation of lenvatinib (Len) and further coating with homologous tumor cell membranes, achieving the synergistic sonodynamic therapy/chemotherapy for ATC. With the homologous tumor membrane camouflage, FL@M nanoparticles exhibited good biocompatibility, drug loading, and excellent tumor targeting ability both in vitro and in vivo. After absorption, FL@M was decomposed and released Len and Fe

Identifiers

PMID41788857
PMCPMC12957540

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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.