Evidence map›Paper›PMID 35685623›Full record

ReviewFrontiers in pharmacology2022

Post-Translational Modifications of p53 in Ferroptosis: Novel Pharmacological Targets for Cancer Therapy.

Le Zhang, Ningning Hou, Bing Chen, Chengxia Kan, Fang Han, Jingwen Zhang, Xiaodong Sun

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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  7. Lipoxygenases at the Intersection of Infection and Carcinogenesis.International journal of molecular sciences · 2024
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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 2 institutions in 1 country.

Le ZhangDepartment of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China.
Ningning HouDepartment of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China.
Bing ChenDepartment of Pathology, Affiliated Hospital of Weifang Medical University, Weifang, China.
Chengxia KanDepartment of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China.
Fang HanDepartment of Pathology, Affiliated Hospital of Weifang Medical University, Weifang, China.
Jingwen ZhangDepartment of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China.
Xiaodong SunDepartment of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, China.
Weifang Medical University · CNShanghai Clinical Research Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor suppressor p53 is a well-known cellular guardian of genomic integrity that blocks cell cycle progression or induces apoptosis upon exposure to cellular stresses. However, it is unclear how the remaining activities of p53 are regulated after the abrogation of these routine activities. Ferroptosis is a form of iron- and lipid-peroxide-mediated cell death; it is particularly important in p53-mediated carcinogenesis and corresponding cancer prevention. Post-translational modifications have clear impacts on the tumor suppressor function of p53. Here, we review the roles of post-translational modifications in p53-mediated ferroptosis, which promotes the elimination of tumor cells. A thorough understanding of the p53 functional network will be extremely useful in future strategies to identify pharmacological targets for cancer therapy.

Indexed as

cancercancer therapyferroptosisp53pharmacologypost-translational modifications

Identifiers

PMID35685623
PMCPMC9171069
OpenAlexW4285741040

What OpenQuestion holds

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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.