Evidence map›Paper›PMID 36382022›Full record

ArticleBioactive materials2023

Bacterial extracellular vesicle applications in cancer immunotherapy.

Kanika Suri, Anisha D'Souza, Di Huang, Aashray Bhavsar, Mansoor Amiji

Open access · goldAbstract read
In one paragraph

Article in Bioactive materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.6field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 52 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Kanika SuriDepartment of Bioengineering, College of Engineering, Northeastern University, Boston, MA, 02115, USA.
Anisha D'SouzaDepartment of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA, 02115, USA.
Di HuangDepartment of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA, 02115, USA.
Aashray BhavsarDepartment of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA, 02115, USA.
Mansoor AmijiDepartment of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA, 02115, USA.
Northeastern University · USMassachusetts Eye and Ear Infirmary · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer therapy is undergoing a paradigm shift toward immunotherapy focusing on various approaches to activate the host immune system. As research to identify appropriate immune cells and activate anti-tumor immunity continues to expand, scientists are looking at microbial sources given their inherent ability to elicit an immune response. Bacterial extracellular vesicles (BEVs) are actively studied to control systemic humoral and cellular immune responses instead of using whole microorganisms or other types of extracellular vesicles (EVs). BEVs also provide the opportunity as versatile drug delivery carriers. Unlike mammalian EVs, BEVs have already made it to the clinic with the meningococcal vaccine (Bexsero®). However, there are still many unanswered questions in the use of BEVs, especially for chronic systemically administered immunotherapies. In this review, we address the opportunities and challenges in the use of BEVs for cancer immunotherapy and provide an outlook towards development of BEV products that can ultimately translate to the clinic.

Indexed as

Bacterial extracellular vesiclesCancer immunotherapyMammalian extracellular vesiclesMembrane vesiclesOuter membrane vesicles

Identifiers

PMID36382022
PMCPMC9637733
OpenAlexW4307905564

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.