Evidence map›Paper›PMID 38534752›Full record

ReviewCurrent issues in molecular biology2024

Anti-Tumor Potential of Post-Translational Modifications of PD-1.

Xiaoming Xi, Wuli Zhao

Open access · goldAbstract readReview
In one paragraph

Review in Current issues in molecular biology, 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
1.1field-weighted citation impact, top 20% 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, 4 citations in OpenAlex.

  1. Article
  2. Crosstalk between protein lipidation and ubiquitination in tumor biology.Apoptosis : an international journal on programmed cell death · 2026
    Review
  3. Proteomic Investigation of Immune Checkpoints and Some of Their Inhibitors.International journal of molecular sciences · 2024
    Review
  4. 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

2 authors at 1 institution in 1 country.

Xiaoming XiState Key Laboratory of Respiratory Health and Multimorbidity, Institute of Medical Biotechnology, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China.ORCID 0000-0003-2083-6430
Wuli ZhaoState Key Laboratory of Respiratory Health and Multimorbidity, Institute of Medical Biotechnology, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2021-I2M-1-030Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2023-I2M-2-001
6 · The paper itself

Abstract

Programmed cell death protein-1 (PD-1) is a vital immune checkpoint molecule. The location, stability, and protein-protein interaction of PD-1 are significantly influenced by post-translational modification (PTM) of proteins. The biological information of PD-1, including its gene and protein structures and the PD-1/PD-L1 signaling pathway, was briefly reviewed in this review. Additionally, recent research on PD-1 post-translational modification, including the study of ubiquitination, glycosylation, phosphorylation, and palmitoylation, was summarized, and research strategies for PD-1 PTM drugs were concluded. At present, only a part of PD-1/PD-L1 treated patients (35-45%) are benefited from immunotherapies, and novel strategies targeting PTM of PD-1/PD-L1 may be important for anti-PD-1/PD-L1 non-responders (poor responders).

Indexed as

glycosylationimmunotherapypalmitoylationPD-1phosphorylationpost-translational modificationubiquitin–proteasome system

Identifiers

PMID38534752
PMCPMC10968922
OpenAlexW4392506010

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.