Evidence map›Paper›PMID 39402557›Full record

ArticleJournal of biomedical science2024

CD81-guided heterologous EVs present heterogeneous interactions with breast cancer cells.

Elena Gurrieri, Giulia Carradori, Michela Roccuzzo, Michael Pancher, Daniele Peroni, Romina Belli, Caterina Trevisan, Michela Notarangelo, Wen-Qiu Huang, Agata S A Carreira and 4 more

Abstract read
In one paragraph

Article in Journal of biomedical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

14 authors.

Elena GurrieriLaboratory of Biotechnology and Nanomedicine, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123, Trento, Italy.
Giulia CarradoriLaboratory of Biotechnology and Nanomedicine, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123, Trento, Italy.
Michela RoccuzzoAdvanced Imaging Core Facility, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123, Trento, Italy.
Michael PancherHigh Throughput Screening and High Content Analysis Core Facility, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123, Trento, Italy.
Daniele PeroniMass Spectrometry and Proteomics Core Facility, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123, Trento, Italy.
Romina BelliMass Spectrometry and Proteomics Core Facility, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123, Trento, Italy.
Caterina TrevisanLaboratory of Biotechnology and Nanomedicine, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123, Trento, Italy.
Michela NotarangeloLaboratory of Biotechnology and Nanomedicine, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123, Trento, Italy.
Wen-Qiu HuangPrecision Medicine in Oncology (PrMiO), Department of Pathology, and Nanomedicine Innovation Center Erasmus (NICE), Erasmus MC Cancer Institute, 3015 GD, Rotterdam, The Netherlands.
Agata S A CarreiraLaboratory of Genomic Screening, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123, Trento, Italy.
Alessandro QuattroneLaboratory of Translational Genomics, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123, Trento, Italy.
Guido JensterDepartment of Urology, Erasmus University Medical Center, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
Timo L M Ten HagenPrecision Medicine in Oncology (PrMiO), Department of Pathology, and Nanomedicine Innovation Center Erasmus (NICE), Erasmus MC Cancer Institute, 3015 GD, Rotterdam, The Netherlands.
Vito Giuseppe D'AgostinoLaboratory of Biotechnology and Nanomedicine, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123, Trento, Italy. vito.dagostino@unitn.it.ORCID http://orcid.org/0000-0003-3379-2254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtracellular vesicles (EVs) are cell-secreted particles conceived as natural vehicles for intercellular communication. The capacity to entrap heterogeneous molecular cargoes and target specific cell populations through EV functionalization promises advancements in biomedical applications. However, the efficiency of the obtained EVs, the contribution of cell-exposed receptors to EV interactions, and the predictability of functional cargo release with potential sharing of high molecular weight recombinant mRNAs are crucial for advancing heterologous EVs in targeted therapy applications.

methodsIn this work, we selected the popular EV marker CD81 as a transmembrane guide for fusion proteins with a C-terminal GFP reporter encompassing or not Trastuzumab light chains targeting the HER2 receptor. We performed high-content imaging analyses to track EV-cell interactions, including isogenic breast cancer cells with manipulated HER2 expression. We validated the functional cargo delivery of recombinant EVs carrying doxorubicin upon EV-donor cell treatment. Then, we performed an in vivo study using JIMT-1 cells commonly used as HER2-refractory, trastuzumab-resistant model to detect a more than 2000 nt length recombinant mRNA in engrafted tumors.

resultsFusion proteins participated in vesicular trafficking dynamics and accumulated on secreted EVs according to their expression levels in HEK293T cells. Despite the presence of GFP, secreted EV populations retained a HER2 receptor-binding capacity and were used to track EV-cell interactions. In time-frames where the global EV distribution did not change between HER2-positive (SK-BR-3) or -negative (MDA-MB-231) breast cancer cell lines, the HER2 exposure in isogenic cells remarkably affected the tropism of heterologous EVs, demonstrating the specificity of antiHER2 EVs representing about 20% of secreted bulk vesicles. The specific interaction strongly correlated with improved cell-killing activity of doxorubicin-EVs in MDA-MB-231 ectopically expressing HER2 and reduced toxicity in SK-BR-3 with a knocked-out HER2 receptor, overcoming the effects of the free drug. Interestingly, the fusion protein-corresponding transcripts present as full-length mRNAs in recombinant EVs could reach orthotopic breast tumors in JIMT-1-xenografted mice, improving our sensitivity in detecting penetrant cargoes in tissue biopsies.

conclusionsThis study highlights the quantitative aspects underlying the creation of a platform for secreted heterologous EVs and shows the limits of single receptor-ligand interactions behind EV-cell engagement mechanisms, which now become the pivotal step to predict functional tropism and design new generations of EV-based nanovehicles.

Indexed as

Breast NeoplasmsExtracellular VesiclesTetraspanin 28AnimalsCell Line, TumorDoxorubicinErb-b2 Receptor Tyrosine KinasesFemaleHEK293 CellsHumansMiceCD81 protein, humanDoxorubicinERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesTetraspanin 28Drug-loadingExtracellular vesiclesNanovehiclesReceptor-bindingRNA cargoTetraspanin

Identifiers

PMID39402557
PMCPMC11475557

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.