Evidence map›Paper›PMID 35214655›Full record

ReviewVaccines2022

Neoantigen Cancer Vaccines: Generation, Optimization, and Therapeutic Targeting Strategies.

Carson R Reynolds, Son Tran, Mohit Jain, Aru Narendran

Open access · goldAbstract readReview
In one paragraph

Review in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Neoantigens: promising targets for cancer therapy.Signal transduction and targeted therapy · 2023
    Review
  7. Review
  8. 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 at 1 institution in 1 country.

Carson R ReynoldsDepartments of Oncology and Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada.
Son TranDepartments of Oncology and Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada.ORCID 0000-0003-3372-7292
Mohit JainDepartments of Oncology and Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada.
Aru NarendranDepartments of Oncology and Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada.
University of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternatives to conventional cancer treatments are highly sought after for high-risk malignancies that have a poor response to established treatment modalities. With research advancing rapidly in the past decade, neoantigen-based immunotherapeutic approaches represent an effective and highly tolerable therapeutic option. Neoantigens are tumor-specific antigens that are not expressed in normal cells and possess significant immunogenic potential. Several recent studies have described the conceptual framework and methodologies to generate neoantigen-based vaccines as well as the formulation of appropriate clinical trials to advance this approach for patient care. This review aims to describe some of the key studies in the recent literature in this rapidly evolving field and summarize the current advances in neoantigen identification and selection, vaccine generation and delivery, and the optimization of neoantigen-based therapeutic strategies, including the early data from pivotal clinical studies.

Indexed as

adjuvant therapycancer immunotherapycancer vaccinationdendritic cell vaccineimmunogenic targetneoantigenneoepitopepersonalized vaccine

Identifiers

PMID35214655
PMCPMC8877108
OpenAlexW4210288638

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.