Evidence map›Paper›PMID 36170662›Full record

ReviewHuman vaccines & immunotherapeutics2022

Nanovaccines: Merits, and diverse roles in boosting antitumor immune responses.

Qiliang Yin, Ying Wang, Yipeng Xiang, Feng Xu

Open access · goldAbstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Nanovaccines for lung cancer: Platforms, mechanistic insights, and translational challenges.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  4. 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

4 authors at 2 institutions in 1 country.

Qiliang YinDepartment of Cadre Ward, The First Hospital of Jilin University, Changchun, China.ORCID 0000-0001-6863-6900
Ying WangAcademy of Health Management, Changchun University of Chinese Medicine, Changchun, China.
Yipeng XiangDepartment of Spine Surgery, The First Hospital of Jilin University, Changchun, China.
Feng XuDepartment of Spine Surgery, The First Hospital of Jilin University, Changchun, China.
Jilin University · CNChangchun University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An attractive type of cancer immunotherapy is cancer therapeutic vaccines that induce antitumor immunity effectively. Although supportive results in the recent vaccine studies, there are still numerous drawbacks, such as poor stability, weak immunogenicity and strong toxicity, to be tackled for promoting the potency and durability of antitumor efficacy. NPs (Nanoparticles)-based vaccines offer unique opportunities to breakthrough the current bottleneck. As a rule, nanovaccines are new the generations of vaccines that use NPs as carriers and/or adjuvants. Several advantages of nanovaccines are constantly explored, including optimal nanometer size, high stability, plenty of antigen loading, enhanced immunogenicity, tunable antigen presentation, more retention in lymph nodes and promote patient compliance by a lower frequency of dosing. Here, we summarized the merits and highlight the diverse role nanovaccines play in improving antitumor responses.

Indexed as

Cancer VaccinesNanoparticlesNeoplasmsAdjuvants, ImmunologicAntigen PresentationHumansImmunotherapyAdjuvants, ImmunologicCancer Vaccinesantigen depotcancer immunotherapynanoparticlesNanovaccines

Identifiers

PMID36170662
PMCPMC9746515
OpenAlexW4297519305

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.