Evidence map›Paper›PMID 33396754›Full record

ReviewMolecules (Basel, Switzerland)2020

Peptide-Based Nanomaterials for Tumor Immunotherapy.

Lingyun Li, Bing Ma, Weizhi Wang

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Crosstalk between protein lipidation and ubiquitination in tumor biology.Apoptosis : an international journal on programmed cell death · 2026
    Review
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  15. Nanomaterials in Cementitious Composites: An Update.Molecules (Basel, Switzerland) · 2021
    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

3 authors at 1 institution in 1 country.

Lingyun LiSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Bing MaSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Weizhi WangSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0002-7310-4068
Beijing Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing understanding of tumor immune circulation mechanisms, tumor immunotherapy including immune checkpoint blockade has become a research hotspot, which requires the development of more accurate and more efficient drugs with fewer side effects. In line with this requirement, peptides with good biocompatibility, targeting, and specificity become favorable theranostic reagents, and a series of promising candidates for tumor immunotherapy based on peptides have been developed. Additionally, the advantages of nanomaterials as drug carriers such as higher affinity have been demonstrated, providing possibilities of combination therapy. In this review, we summarize the development of peptide-based nanomaterials in tumor immunotherapy from the two aspects of functionalization and self-assembly. Furthermore, new methods for peptide screening, especially machine-learning-related strategies, is also a topic we were interested in, as this forms the basis for the construction of peptide-based platforms. Peptides provide broad prospects for tumor immunotherapy and we hope that this summary can provide insight into possible avenues for future exploration.

Indexed as

AnimalsCombined Modality TherapyDrug CarriersDrug Delivery SystemsFemaleHumansImmune SystemImmunity, CellularImmunotherapyMachine LearningMiceNanostructuresNeoplasmsPeptidesPrecision MedicineDrug CarriersPeptidesimmune checkpoint blockadepeptide-based nanomaterialspeptide screeningpeptide self-assembly

Identifiers

PMID33396754
PMCPMC7796410
OpenAlexW3113698248

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.