Evidence map›Paper›PMID 33921088›Full record

ArticleInternational journal of molecular sciences2021

Monomethyl Auristatin E Grafted-Liposomes to Target Prostate Tumor Cell Lines.

Ariana Abawi, Xiaoyi Wang, Julien Bompard, Anna Bérot, Valentina Andretto, Leslie Gudimard, Chloé Devillard, Emma Petiot, Benoit Joseph, Giovanna Lollo and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-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

5 citing papers in PubMed, 8 citations in OpenAlex.

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  5. Review
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

13 authors at 1 institution in 1 country.

Ariana AbawiInstitut de Chimie et Biochimie Moléculaires et Supramoléculaires, ICBMS UMR 5246, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.
Xiaoyi WangInstitut de Chimie et Biochimie Moléculaires et Supramoléculaires, ICBMS UMR 5246, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.ORCID 0000-0002-2371-3420
Julien BompardInstitut de Chimie et Biochimie Moléculaires et Supramoléculaires, ICBMS UMR 5246, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.
Anna BérotInstitut de Chimie et Biochimie Moléculaires et Supramoléculaires, ICBMS UMR 5246, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.
Valentina AndrettoLaboratoire d'Automatique, de Génie des Procédés et de Génie Pharmaceutique, LAGEPP UMR 5007, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.ORCID 0000-0002-5002-6212
Leslie GudimardInstitut de Chimie et Biochimie Moléculaires et Supramoléculaires, ICBMS UMR 5246, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.
Chloé DevillardInstitut de Chimie et Biochimie Moléculaires et Supramoléculaires, ICBMS UMR 5246, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.
Emma PetiotInstitut de Chimie et Biochimie Moléculaires et Supramoléculaires, ICBMS UMR 5246, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.
Benoit JosephInstitut de Chimie et Biochimie Moléculaires et Supramoléculaires, ICBMS UMR 5246, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.
Giovanna LolloLaboratoire d'Automatique, de Génie des Procédés et de Génie Pharmaceutique, LAGEPP UMR 5007, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.
Thierry GranjonInstitut de Chimie et Biochimie Moléculaires et Supramoléculaires, ICBMS UMR 5246, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.
Agnès Girard-EgrotInstitut de Chimie et Biochimie Moléculaires et Supramoléculaires, ICBMS UMR 5246, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.ORCID 0000-0003-2612-3124
Ofelia ManitiInstitut de Chimie et Biochimie Moléculaires et Supramoléculaires, ICBMS UMR 5246, Univ Lyon, Université Lyon 1, CNRS, F-69622 Lyon, France.
Université Claude Bernard Lyon 1 · FR

Funding

Centre National de la Recherche Scientifique Programme de prématuration du CNRS Année 2017Pulsalys D02474 - DIOLL
6 · The paper itself

Abstract

Novel nanomedicines have been engineered to deliver molecules with therapeutic potentials, overcoming drawbacks such as poor solubility, toxicity or short half-life. Lipid-based carriers such as liposomes represent one of the most advanced classes of drug delivery systems. A Monomethyl Auristatin E (MMAE) warhead was grafted on a lipid derivative and integrated in fusogenic liposomes, following the model of antibody drug conjugates. By modulating the liposome composition, we designed a set of particles characterized by different membrane fluidities as a key parameter to obtain selective uptake from fibroblast or prostate tumor cells. Only the fluid liposomes made of palmitoyl-oleoyl-phosphatidylcholine and dioleoyl-phosphatidylethanolamine, integrating the MMAE-lipid derivative, showed an effect on prostate tumor PC-3 and LNCaP cell viability. On the other hand, they exhibited negligible effects on the fibroblast NIH-3T3 cells, which only interacted with rigid liposomes. Therefore, fluid liposomes grafted with MMAE represent an interesting example of drug carriers, as they can be easily engineered to promote liposome fusion with the target membrane and ensure drug selectivity.

Indexed as

AnimalsCell Line, TumorCell SurvivalHumansLiposomesMaleMembrane FluidityMiceNIH 3T3 CellsOligopeptidesParticle SizeProstatic NeoplasmsTime FactorsTriglycerides1,2-dipalmitoyl-sn-glycero-3-phosphothioethanolLiposomesmonomethyl auristatin EOligopeptidesTriglyceridesdrug deliveryliposomesmembrane fluidityMonomethyl Auristatin E

Identifiers

PMID33921088
PMCPMC8071391
OpenAlexW3157002450

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.