Evidence map›Paper›PMID 39554460›Full record

ArticleACS omega2024

Promising Proteolysis-Targeting Chimera for Mutant p53-R175H.

Xinzhe Zhuang, Yidan Guo, Xiaozi Sun, Jie Chen, Songbo Xie, Fengtang Yang, Jingrui Li

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Xinzhe ZhuangSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo 255000, China.
Yidan GuoSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo 255000, China.
Xiaozi SunSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo 255000, China.
Jie ChenSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo 255000, China.
Songbo XieSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo 255000, China.ORCID https://orcid.org/0000-0003-3195-6948
Fengtang YangSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo 255000, China.
Jingrui LiSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo 255000, China.ORCID https://orcid.org/0000-0002-1432-7536

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor suppressor protein p53 is among the most commonly mutated proteins across a variety of cancer types. Notably, the p53 R175H mutation ranks as one of the most prevalent hotspot mutations. Proteolysis-targeting chimeras (PROTACs) represent a class of bifunctional molecules capable of harnessing the cellular ubiquitin-proteasome pathway to facilitate targeted protein degradation. Despite the potential of PROTACs, limited research has been directed toward the degradation of the p53-R175H mutant protein. In this study, we developed a series of peptide-based PROTACs, leveraging known peptide ligands for both the p53-R175H mutation and the E3 ubiquitin ligase VHL. Our findings indicate that one of these peptide-based PROTACs is capable of directing the p53-R175H protein to the proteasome for degradation within a recombinant expression system. Moreover, by synthesizing a fusion peptide PROTAC molecule that incorporates a membrane-penetrating peptide, we have demonstrated its ability to traverse cellular membranes and subsequently reduce the levels of the p53-R175H mutant protein. Importantly, the degradation of p53-R175H was found to mitigate the cellular migration and invasion. In summary, our study introduces a novel class of protein degraders and establishes a foundational framework for the therapeutic management of cancers associated with p53 mutations.

Identifiers

PMID39554460
PMCPMC11561642

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Registered trials

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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.