Evidence map›Paper›PMID 35305654›Full record

ArticleJournal of nanobiotechnology2022

Novel multifunctional NIR-II aggregation-induced emission nanoparticles-assisted intraoperative identification and elimination of residual tumor.

Qiaojun Qu, Zeyu Zhang, Xiaoyong Guo, Junying Yang, Caiguang Cao, Changjian Li, Hui Zhang, Pengfei Xu, Zhenhua Hu, Jie Tian

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

12 citing papers in PubMed, 26 citations in OpenAlex.

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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

10 authors at 6 institutions in 1 country.

Qiaojun QuCollege of Medical Imaging, Shanxi Medical University, Taiyuan, 030001, China.
Zeyu ZhangCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Xiaoyong GuoCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Junying YangDepartment of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Caiguang CaoCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Changjian LiBeijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, 100191, China.
Hui ZhangDepartment of Radiology, First Hospital of Shanxi Medical University, Taiyuan, 030001, China. zhang_hui@sxmu.edu.cn.
Pengfei XuInstitute of Clinical Pharmacy & Pharmacology, Jining First People's Hospital, Jining Medical University, Jining, 272000, China. pengfeixuscu@outlook.com.
Zhenhua HuCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. zhenhua.hu@ia.ac.cn.
Jie TianCollege of Medical Imaging, Shanxi Medical University, Taiyuan, 030001, China. jie.tian@ia.ac.cn.ORCID http://orcid.org/0000-0003-0498-0432
Chinese Academy of Sciences · CNShanxi Medical University · CNAnhui Medical University · CNBeihang University · CNJining First People's Hospital · CNZhujiang Hospital · CN

Funding

Beijing Natural Science Foundation JQ19027Innovative research team of high-level local universities in Shanghai Innovative research team of high-level local universities in ShanghaiNational Key Research and Development Program of China 2017YFA0205200National Natural Science Foundation of China 62027901National Natural Science Foundation of China 81227901National Natural Science Foundation of China 81930053National Natural Science Foundation of China 92059207Strategic Priority Research Program of the Chinese Academy of Sciences XDA16021200Zhuhai High-level Health Personnel Team Project Zhuhai HLHPTP201703
6 · The paper itself

Abstract

Incomplete tumor resection is the direct cause of the tumor recurrence and metastasis after surgery. Intraoperative accurate detection and elimination of microscopic residual cancer improve surgery outcomes. In this study, a powerful D1-π-A-D2-R type phototheranostic based on aggregation-induced emission (AIE)-active the second near-infrared window (NIR-II) fluorophore is designed and constructed. The prepared theranostic agent, A1 nanoparticles (NPs), simultaneously shows high absolute quantum yield (1.23%), excellent photothermal conversion efficiency (55.3%), high molar absorption coefficient and moderate singlet oxygen generation performance. In vivo experiments indicate that NIR-II fluorescence imaging of A1 NPs precisely detect microscopic residual tumor (2 mm in diameter) in the tumor bed and metastatic lymph nodes. More notably, a novel integrated strategy that achieves complete tumor eradication (no local recurrence and metastasis after surgery) is proposed. In summary, A1 NPs possess superior imaging and treatment performance, and can detect and eliminate residual tumor lesions intraoperatively. This work provides a promising technique for future clinical applications achieving improved surgical outcomes.

Indexed as

Multifunctional NanoparticlesNanoparticlesHumansNeoplasm, ResidualOptical ImagingTheranostic NanomedicineAggregation-induced emissionNIR-II imagingPhototheranosticPhototherapyResidual tumor

Identifiers

PMID35305654
PMCPMC8934469
OpenAlexW4220819879

What OpenQuestion holds

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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.