Evidence mapPaperPMID 39772003Full record

ReviewVaccines2024

Challenges and New Directions in Therapeutic Cancer Vaccine Development.

Danjie Pan, Jiayang Liu, Xuan Huang, Songna Wang, Kudelaidi Kuerban, Yan Yan, Yi Zhun Zhu, Li Ye

Abstract readReview
In one paragraph

Review in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. 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

8 authors.

Danjie PanLaboratory of Drug Discovery from Natural Resources and Industrialization, School of Pharmacy, Macau University of Science and Technology, Macau 999078, China.
Jiayang LiuDepartment of Biological Medicines, School of Pharmacy, Fudan University, Shanghai 201203, China.
Xuan HuangDepartment of Biological Medicines, School of Pharmacy, Fudan University, Shanghai 201203, China.
Songna WangLaboratory of Drug Discovery from Natural Resources and Industrialization, School of Pharmacy, Macau University of Science and Technology, Macau 999078, China.
Kudelaidi KuerbanDepartment of Biological Medicines, School of Pharmacy, Fudan University, Shanghai 201203, China.
Yan YanLaboratory of Drug Discovery from Natural Resources and Industrialization, School of Pharmacy, Macau University of Science and Technology, Macau 999078, China.
Yi Zhun ZhuLaboratory of Drug Discovery from Natural Resources and Industrialization, School of Pharmacy, Macau University of Science and Technology, Macau 999078, China.ORCID 0000-0001-7700-8041
Li YeLaboratory of Drug Discovery from Natural Resources and Industrialization, School of Pharmacy, Macau University of Science and Technology, Macau 999078, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor vaccine is a promising immunotherapy for solid tumors. Therapeutic tumor vaccines aim at inducing tumor regression, establishing durable antitumor memory, and avoiding non-specific or adverse reactions. However, tumor-induced immune suppression and immune resistance pose challenges to achieving this goal. In this article, we review multiple challenges currently faced in the development of therapeutic tumor vaccines, with a particular focus on anonymous antigen vaccines in situ as a new direction. We summarize the research progress in this area, aiming to provide a reference for future studies on tumor vaccines.

Indexed as

anonymous antigen vaccinescancer vaccineimmunotherapy drugpredefined antigen vaccinetumor immunotherapy

Identifiers

PMID39772003
PMCPMC11679661

What Socratic 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 Socratic graph.