Evidence map›Paper›PMID 36432701›Full record

ArticlePharmaceutics2022

Dual-Modality Molecular Imaging of Tumor via Quantum Dots-Liposome-Microbubble Complexes.

Jieqiong Wang, Yuanyuan Wang, Jie Jia, Chenxing Liu, Dong Ni, Litao Sun, Zhijie Guo

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2022. 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
0.7field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  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

7 authors at 6 institutions in 1 country.

Jieqiong WangDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai 201206, China.
Yuanyuan WangCenter for Cell and Gene Circuit Design, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Jie JiaDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai 201206, China.
Chenxing LiuCenter for Cell and Gene Circuit Design, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Dong NiMedical Ultrasound Image Computing (MUSIC) Laboratory, Shenzhen University, Shenzhen 518055, China.
Litao SunDepartment of Ultrasound Medicine, Zhejiang Provincial People's Hospital (Hangzhou Medical College Affiliated People's Hospital), Hangzhou 310014, China.
Zhijie GuoDepartment of Ultrasound, Shenzhen Bao'an Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, Shenzhen 518133, China.
Chinese Academy of Sciences · CNFudan University · CNGuangzhou University of Chinese Medicine · CNHuashan Hospital · CNShenzhen University · CNZhejiang Provincial People's Hospital · CN

Funding

National Natural Science Foundation of China 82071929
6 · The paper itself

Abstract

Molecular imaging has demonstrated promise for evaluating the expression levels of biomarkers for the early prediction of tumor progression and metastasis. However, most of the commonly used molecular imaging modalities are relatively single and have difficulties imaging complex biological processes. Here, we fabricated αvβ3-integrin-targeted quantum-dots-loaded liposome-microbubble (iRGD-QDLM) complexes that combined ultrasound imaging with optical imaging. The resulting iRGD-QDLM has excellent binding capability to 4T1 breast cancer cells. Ultrasound molecular imaging of 4T1 tumors demonstrated that significantly enhanced ultrasound molecular signals could be observed in comparison with non-targeted QDLM. Importantly, our study also suggested that iRGD-QDL on the surface of microbubbles could be delivered into a tumor by ultrasound-mediated microbubble destruction and adhered to αvβ3 integrin on breast cancer cells, achieving transvascular fluorescent imaging. Our study provides a novel approach to dual-modality molecular imaging of αvβ3 integrin in the tumor tissue.

Indexed as

dual-modality imagingfluorescent imagingiRGDliposome–microbubble complexesquantum dotsultrasound molecular imaging

Identifiers

PMID36432701
PMCPMC9699378
OpenAlexW4309786536

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.