Evidence map›Paper›PMID 41219748›Full record

ReviewJournal of ovarian research2025

Therapeutic targeting of post-translational modifications in ovarian cancer: mechanisms and clinical applications.

Ling Ke, Ying Zhang

Abstract readReview
In one paragraph

Review in Journal of ovarian research, 2025. 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. Article
  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

2 authors.

Ling KeDepartment of Obstetrics and Gynecology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China.
Ying ZhangDepartment of Obstetrics and Gynecology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China. zhangying5413@126.com.

Funding

2020 double talents of Maoming People's Hospital SY20200042022 Zhanjiang City science and technology plan project 220825234544746
6 · The paper itself

Abstract

Ovarian cancer is a lethal disease with high mortality due to late diagnosis, recurrence, and chemotherapy resistance. There is an urgent need for better diagnostic and therapeutic strategies. Recently, protein post-translational modifications (PTMs) have gained significant attention for their role in the onset, progression, and treatment of ovarian cancer. PTMs (including phosphorylation, ubiquitination, methylation, ADP-ribosylation, and others) significantly influence tumor cell proliferation, metastasis, and drug resistance by modulating cellular signal transduction, DNA repair mechanisms, and metabolic processes. PARP inhibitors block the active site of PARP1 in BRCA-mutant ovarian cancer, disrupting ADP-ribosylation, inducing apoptosis in cancer cells, and extending progression-free survival. However, the emergence of drug resistance, such as BRCA reversal mutations, and the insufficient specificity of targets remain significant limitations to therapeutic efficacy. Strategies targeting other modification pathways, such as ubiquitination and methylation, provide promising options for expanding treatments. Combination therapies, like integrating PARP inhibitors with chemotherapy or immunotherapy, and precision medicine also show potential to overcome therapeutic challenges. This article systematically examines the pivotal role of PTMs in ovarian cancer pathogenesis, outlines therapeutic strategies and associated challenges in targeting PTMs, and offers a comprehensive overview with strategic guidance for future research.

Indexed as

Ovarian NeoplasmsProtein Processing, Post-TranslationalFemaleHumansMolecular Targeted TherapyPoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) Polymerase InhibitorsOvarian cancerPathogenesisPost-translational modificationsTherapeutic strategies

Identifiers

PMID41219748
PMCPMC12606808

What OpenQuestion holds

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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.