Evidence map›Paper›PMID 31100004›Full record

ArticleACS nano2019

Biohybrid Vaccines for Improved Treatment of Aggressive Melanoma with Checkpoint Inhibitor.

Flavia Fontana, Manlio Fusciello, Christianne Groeneveldt, Cristian Capasso, Jacopo Chiaro, Sara Feola, Zehua Liu, Ermei M Mäkilä, Jarno J Salonen, Jouni T Hirvonen and 2 more

Open access · hybridAbstract read
In one paragraph

Article in ACS nano, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 47 citations in OpenAlex.

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  10. Dual-Crosslinked Dynamic Hydrogel Incorporating {MoAdvanced materials (Deerfield Beach, Fla.) · 2021
    Article
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  15. Biohybrid Nanosystems for Cancer Treatment: Merging the Best of Two Worlds.Advances in experimental medicine and biology · 2021
    Article
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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

12 authors at 3 institutions in 2 countries.

Flavia FontanaDrug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy , University of Helsinki , FI-00014 Helsinki , Finland.
Manlio FuscielloDrug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy , University of Helsinki , FI-00014 Helsinki , Finland.
Christianne GroeneveldtDivision of Biotherapeutics, Leiden Academic Center for Drug Research (LACDR) , Leiden University , 2300 RA Leiden , Netherlands.
Cristian CapassoDrug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy , University of Helsinki , FI-00014 Helsinki , Finland.
Jacopo ChiaroDrug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy , University of Helsinki , FI-00014 Helsinki , Finland.
Sara FeolaDrug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy , University of Helsinki , FI-00014 Helsinki , Finland.
Zehua LiuDrug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy , University of Helsinki , FI-00014 Helsinki , Finland.
Ermei M MäkiläLaboratory of Industrial Physics, Department of Physics and Astronomy , University of Turku , FI-20014 Turku , Finland.ORCID 0000-0002-8300-6533
Jarno J SalonenLaboratory of Industrial Physics, Department of Physics and Astronomy , University of Turku , FI-20014 Turku , Finland.ORCID 0000-0002-5245-742X
Jouni T HirvonenDrug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy , University of Helsinki , FI-00014 Helsinki , Finland.
Vincenzo CerulloDrug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy , University of Helsinki , FI-00014 Helsinki , Finland.
Hélder A SantosDrug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy , University of Helsinki , FI-00014 Helsinki , Finland.ORCID 0000-0001-7850-6309
University of Helsinki · FIUniversity of Turku · FILeiden University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent approaches in the treatment of cancer focus on involving the immune system to control the tumor growth. The administration of immunotherapies, like checkpoint inhibitors, has shown impressive results in the long term survival of patients. Cancer vaccines are being investigated as further tools to prime tumor-specific immunity. Biomaterials show potential as adjuvants in the formulation of vaccines, and biomimetic elements derived from the membrane of tumor cells may widen the range of antigens contained in the vaccine. Here, we show how mice presenting an aggressive melanoma tumor model treated twice with the complete nanovaccine formulation showed control on the tumor progression, while in a less aggressive model, the animals showed remission and control on the tumor progression, with a modification in the immunological profile of the tumor microenvironment. We also prove that co-administration of the nanovaccine together with a checkpoint inhibitor increases the efficacy of the treatment (87.5% of the animals responding, with 2 remissions) compared to the checkpoint inhibitor alone in the B16.OVA model. Our platform thereby shows potential applications as a cancer nanovaccine in combination with the standard clinical care treatment for melanoma cancers.

Indexed as

AnimalsAntigen-Presenting CellsAntigens, NeoplasmCancer VaccinesCell Line, TumorCell MembraneMelanomaMiceMice, Inbred C57BLMicrofluidicsNanoparticlesTumor MicroenvironmentAntigens, NeoplasmCancer Vaccinesbiohybridcancer vaccinecell membranemelanomamicrofluidics

Identifiers

PMID31100004
PMCPMC6595659
OpenAlexW2944908391

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.