Evidence map›Paper›PMID 35091755›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2022

Multi-antitumor therapy and synchronous imaging monitoring based on exosome.

Ruijie Qian, Boping Jing, Dawei Jiang, Yongkang Gai, Ziyang Zhu, Xiaojuan Huang, Yu Gao, Xiaoli Lan, Rui An

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 41 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

9 authors at 5 institutions in 1 country.

Ruijie Qian *Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China.
Boping Jing *Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China.
Dawei JiangDepartment of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China.
Yongkang GaiDepartment of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China.
Ziyang ZhuDepartment of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China.
Xiaojuan HuangDepartment of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China.
Yu GaoDepartment of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China.
Xiaoli LanDepartment of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China. xiaoli_lan@hust.edu.cn.ORCID 0000-0002-7263-7399
Rui AnDepartment of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China. 1975xh0577@hust.edu.cn.
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing · CNSir Run Run Shaw Hospital · CNUnion Hospital · CNUnion Hospital · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor-derived exosomes (TEX) have shown great potential for drug delivery and tumor targeting. Here, we developed a novel multi-drug loaded exosomes nanoprobe for combined antitumor chemotherapy and photodynamic therapy, and monitoring the drug delivery capabilities with pre-targeting technique.

methodsTEX of human colorectal cancer HCT116 was prepared, and Doxorubicin and the photodynamic therapy agent 5-aminolevulinic acid (ALA) were loaded and named as TEX@DOX@ALA. Tumor uptake was first examined using fluorescence imaging of the fluorescent dye Cy5 (TEX@DOX@ALA@Cy5). Visualization of exosome aggregation in tumor were realized by positron-emission tomography/computed tomography (PET/CT) with pre-targeting technique. Tumor-bearing mice were first injected with TEX@DOX@ALA labeled with azide (N

resultsThe drug loading process did not influence the structure or the function of the HCT116 TEX membranes. In a fluorescence imaging experiment, higher fluorescence could be seen in tumor after TEX@DOX@ALA@Cy5 injected, and reached the highest signal at 24 h. From PET/CT images with subcutaneous and orthotopic colon tumor-bearing mice, clear radioactivity could be seen in tumors, which suggested the successes of TEX accumulation in tumors. TEX@DOX@ALA group with photodynamic therapy and chemotherapy had the best tumor inhibition effect compared with the other groups, with the longest survival time (36 days, 37.5%). No significant damage was found on histological observation and the blood biochemical analysis, which suggested the safety of the multi-drug loaded exosomes.

conclusionsWe successfully engineered an exosome-based nanoprobe integrating PET imaging components and therapeutic drugs. This drug-loaded exosome system may effectively target tumors and enable synergistic chemotherapeutic and photodynamic antitumor effects.

Indexed as

ExosomesNeoplasmsAnimalsCell Line, TumorDoxorubicinGallium RadioisotopesHumansMicePositron Emission Tomography Computed TomographyDoxorubicinGallium RadioisotopesExosomesImage-guided drug deliveryPre-targeting PETSynergistic therapy

Identifiers

PMID35091755
OpenAlexW4210421487

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.