Evidence map›Paper›PMID 36679991›Full record

ReviewVaccines2023

Cancer Vaccines for Triple-Negative Breast Cancer: A Systematic Review.

Mina Hosseini, Simin Seyedpour, Behzad Khodaei, Amir-Hossein Loghman, Nasrin Seyedpour, Mohammad-Hossein Yazdi, Nima Rezaei

Open access · goldAbstract readReview
In one paragraph

Review in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  5. Article
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  7. Review
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  10. Article
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  15. The future of cancer immunotherapy: DNA vaccines leading the way.Medical oncology (Northwood, London, England) · 2023
    Review
  16. Review
  17. Article
  18. 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

7 authors at 5 institutions in 1 country.

Mina HosseiniDepartment of Pharmaceutical Biotechnology, School of Pharmacy, Tehran University of Medical Sciences, Tehran P.O. Box 141556451, Iran.
Simin SeyedpourSchool of Medicine, Tehran University of Medical Sciences, Tehran P.O. Box 1417613151, Iran.
Behzad KhodaeiSchool of Medicine, Tehran University of Medical Sciences, Tehran P.O. Box 1417613151, Iran.
Amir-Hossein LoghmanSchool of Medicine, Kashan University of Medical Sciences, Kashan P.O. Box 8715988141, Iran.ORCID 0000-0002-6009-4358
Nasrin SeyedpourNanomedicine Research Association (NRA), Universal Scientific Education and Research Network (USERN), Tehran P.O. Box 1416634793, Iran.
Mohammad-Hossein YazdiDepartment of Pharmaceutical Biotechnology, School of Pharmacy, Tehran University of Medical Sciences, Tehran P.O. Box 141556451, Iran.ORCID 0000-0001-8567-8555
Nima RezaeiResearch Center for Immunodeficiencies (RCID), Children's Medical Center, Tehran University of Medical Sciences, Qarib Street, Tehran P.O. Box 14185863, Iran.ORCID 0000-0002-3836-1827
Universal Scientific Education and Research Network · IRBiotechnology Research Center · IRChildren's Medical Center · IRKashan University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is the subtype of breast cancer with the poorest outcomes, and is associated with a high risk of relapse and metastasis. The treatment choices for this malignancy have been confined to conventional chemotherapeutic agents, due to a lack of expression of the canonical molecular targets. Immunotherapy has been recently changing the treatment paradigm for many types of tumors, and the approach of evoking active immune responses in the milieu of breast tumors through cancer vaccines has been introduced as one of the most novel immunotherapeutic approaches. Accordingly, a number of vaccines for the treatment or prevention of recurrence have been developed and are currently being studied in TNBC patients, while none have yet received any approvals. To elucidate the efficacy and safety of these vaccines, we performed a systematic review of the available literature on the topic. After searching the PubMed, Scopus, Web of Science, Embase, Cochrane CENTRAL, and Google Scholar databases, a total of 5701 results were obtained, from which 42 clinical studies were eventually included based on the predefined criteria. The overall quality of the included studies was acceptable. However, due to a lack of reporting outcomes of survival or progression in some studies (which were presented as conference abstracts) as well as the heterogeneity of the reported outcomes and study designs, we were not able to carry out a meta-analysis. A total of 32 different vaccines have so far been evaluated in TNBC patients, with the majority belonging to the peptide-based vaccine type. The other vaccines were in the cell or nucleic acid (RNA/DNA)-based categories. Most vaccines proved to be safe with low-grade, local adverse events and could efficiently evoke cellular immune responses; however, most trials were not able to demonstrate significant improvements in clinical indices of efficacy. This is in part due to the limited number of randomized studies, as well as the limited TNBC population of each trial. However, due to the encouraging results of the currently published trials, we anticipate that this strategy could show its potential through larger, phase III randomized studies in the near future.

Indexed as

cancer vaccinesimmunotherapysystematic reviewtriple-negative breast cancer

Identifiers

PMID36679991
PMCPMC9866612
OpenAlexW4313897822

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.