Evidence map›Paper›PMID 35603213›Full record

ReviewFrontiers in immunology2022

The Current Landscape of mRNA Vaccines Against Viruses and Cancer-A Mini Review.

Reese Jalal Ladak, Alexander J He, Yu-Hsun Huang, Yu Ding

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  12. Unlocking cancer vaccine potential: What are the key factors?Human vaccines & immunotherapeutics · 2024
    Review
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  14. Article
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  19. mRNA vaccines for cancer immunotherapy.Frontiers in immunology · 2022
    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

4 authors.

Reese Jalal LadakRosalind and Morris Goodman Cancer Institute, McGill University, Montreal, QC, Canada.
Alexander J HeKennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford University, Oxford, United Kingdom.
Yu-Hsun HuangDepartment of Anatomy and Cell Biology, McGill University, Montreal, QC, Canada.
Yu DingDepartment of Biochemistry, McGill University, Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both infectious viral diseases and cancer have historically been some of the most common causes of death worldwide. The COVID-19 pandemic is a decidedly relevant example of the former. Despite progress having been made over past decades, new and improved techniques are still needed to address the limitations faced by current treatment standards, with mRNA-based therapy emerging as a promising solution. Highly flexible, scalable and cost-effective, mRNA therapy is proving to be a compelling vaccine platform against viruses. Likewise, mRNA vaccines show similar promise against cancer as a platform capable of encoding multiple antigens for a diverse array of cancers, including those that are patient specific as a novel form of personalized medicine. In this review, the molecular mechanisms, biotechnological aspects, and clinical developments of mRNA vaccines against viral infections and cancer are discussed to provide an informative update on the current state of mRNA therapy research.

Indexed as

Communicable DiseasesCOVID-19NeoplasmsVirusesHumansmRNA VaccinesPandemicsRNA, MessengerVaccines, SyntheticmRNA VaccinesRNA, MessengerVaccines, Syntheticcancer vaccinationclinical trials of mRNA vaccinesmRNA modificationsmRNA vaccine deliverymRNA vaccine developersmRNA vaccine mechanismviral vaccination

Identifiers

PMID35603213
PMCPMC9120423

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.