Evidence map›Paper›PMID 40574024›Full record

ReviewPharmaceutics2025

Negative Immune Checkpoint Inhibitors.

Magda Drewniak-Świtalska, Paulina Fortuna, Małgorzata Krzystek-Korpacka

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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. Review
  2. Review
  3. Review
  4. Review
  5. Application of nanobody‑based CAR‑T in tumor immunotherapy (Review).International journal of molecular medicine · 2025
    Review
  6. 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.

Magda Drewniak-ŚwitalskaDepartment of Biochemistry and Immunochemistry, Wroclaw Medical University, 50-368 Wroclaw, Poland.ORCID 0000-0002-0405-3404
Paulina FortunaOmics Research Center, Wroclaw Medical University, 50-368 Wroclaw, Poland.ORCID 0000-0003-4617-798X
Małgorzata Krzystek-KorpackaDepartment of Biochemistry and Immunochemistry, Wroclaw Medical University, 50-368 Wroclaw, Poland.

Funding

National Science Center MINI.A412.24.001
6 · The paper itself

Abstract

Checkpoint inhibitors are a modern therapeutic approach for treating various types of cancer, metabolic diseases, and chronic infections. The main goal of this therapy is to specifically unlock the immune system, allowing it to recognize and eliminate cancer cells or pathogens, primarily through the activation of T lymphocytes. Monoclonal antibodies used in the treatment of various cancers, such as pembrolizumab (Keytruda), nivolumab (Opdivo), and ipilimumab (Yervoy), carry several limitations, primarily due to their large molecular size. The main challenges include limited tissue penetration, long half-life in the body, and the risk of autoimmune responses. Compared to antibodies, small-molecule and peptide inhibitors offer significant advantages related to their molecular structure. These drugs demonstrate a better ability to penetrate hard-to-reach areas, such as the tumor microenvironments, can be administered orally, and often show lower immunogenicity. A new generation of drugs is PROTACs, which combine the ability to direct proteins to degradation with the action of checkpoint inhibitors, contributing to the elimination of proteins responsible for suppressing the immune response. This publication describes small-molecule inhibitors, peptide inhibitors, and PROTAC molecules targeting negative immune checkpoints-CTLA-4, PD-1, VISTA, TIM-3, BTLA-4, LAG-3, and TIGIT.

Indexed as

immune checkpointpeptide inhibitorsPROTACsmall-molecule inhibitors

Identifiers

PMID40574024
PMCPMC12195700

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.