Evidence map›Paper›PMID 38595333›Full record

ArticleAsian journal of pharmaceutical sciences2024

Overcoming neutrophil-induced immunosuppression in postoperative cancer therapy: Combined sialic acid-modified liposomes with scaffold-based vaccines.

Cong Li, Lihong Wang, Kexin Zhang, Zeyu Wang, Zhihang Li, Zehao Li, Lijiang Chen

Open access · diamondAbstract read
In one paragraph

Article in Asian journal of pharmaceutical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
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 1 institution in 1 country.

Cong LiSchool of Pharmaceutical Science, Liaoning University, Shenyang 110036, China.
Lihong WangSchool of Pharmaceutical Science, Liaoning University, Shenyang 110036, China.
Kexin ZhangSchool of Pharmaceutical Science, Liaoning University, Shenyang 110036, China.
Zeyu WangSchool of Pharmaceutical Science, Liaoning University, Shenyang 110036, China.
Zhihang LiSchool of Pharmaceutical Science, Liaoning University, Shenyang 110036, China.
Zehao LiSchool of Pharmaceutical Science, Liaoning University, Shenyang 110036, China.
Lijiang ChenSchool of Pharmaceutical Science, Liaoning University, Shenyang 110036, China.
Liaoning University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy is a promising approach for preventing postoperative tumor recurrence and metastasis. However, inflammatory neutrophils, recruited to the postoperative tumor site, have been shown to exacerbate tumor regeneration and limit the efficacy of cancer vaccines. Consequently, addressing postoperative immunosuppression caused by neutrophils is crucial for improving treatment outcomes. This study presents a combined chemoimmunotherapeutic strategy that employs a biocompatible macroporous scaffold-based cancer vaccine (S-CV) and a sialic acid (SA)-modified, doxorubicin (DOX)-loaded liposomal platform (DOX@SAL). The S-CV contains whole tumor lysates as antigens and imiquimod (R837, Toll-like receptor 7 activator)-loaded PLGA nanoparticles as immune adjuvants for cancer, which enhance dendritic cell activation and cytotoxic T cell proliferation upon localized implantation. When administered intravenously, DOX@SAL specifically targets and delivers drugs to activated neutrophils

Indexed as

ImmunotherapyInflammatory neutrophilsPostoperative tumor treatmentScaffold-based cancer vaccineSialic acid-modified liposome

Identifiers

PMID38595333
PMCPMC11002593
OpenAlexW4392883245

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.