Evidence map›Paper›PMID 39390510›Full record

ReviewCell communication and signaling : CCS2024

Targeting mutant p53: a key player in breast cancer pathogenesis and beyond.

Hina Qayoom, Burhan Ul Haq, Shazia Sofi, Nusrat Jan, Asma Jan, Manzoor A Mir

Abstract readReview
In one paragraph

Review in Cell communication and signaling : CCS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Antitumor Effects ofMolecules (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Interplay of Interleukin-1Oncology research · 2026
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors.

Hina Qayoom *Cancer Biology Lab, Department of Bioresources, School of Biological Sciences, University of Kashmir Srinagar, Kashmir Srinagar, J&K, 190006, India.
Burhan Ul Haq *Cancer Biology Lab, Department of Bioresources, School of Biological Sciences, University of Kashmir Srinagar, Kashmir Srinagar, J&K, 190006, India.
Shazia Sofi *Cancer Biology Lab, Department of Bioresources, School of Biological Sciences, University of Kashmir Srinagar, Kashmir Srinagar, J&K, 190006, India.
Nusrat JanCancer Biology Lab, Department of Bioresources, School of Biological Sciences, University of Kashmir Srinagar, Kashmir Srinagar, J&K, 190006, India.
Asma JanCancer Biology Lab, Department of Bioresources, School of Biological Sciences, University of Kashmir Srinagar, Kashmir Srinagar, J&K, 190006, India.
Manzoor A MirCancer Biology Lab, Department of Bioresources, School of Biological Sciences, University of Kashmir Srinagar, Kashmir Srinagar, J&K, 190006, India. drmanzoor@kashmiruniversity.ac.in.ORCID 0000-0003-3297-1402

Funding

Science and Engineering Research Board SERB-CRG/2023/008460
6 · The paper itself

Abstract

The p53 mutation is the most common genetic mutation associated with human neoplasia. TP53 missense mutations, which frequently arise early in breast cancer, are present in over thirty percent of breast tumors. In breast cancer, p53 mutations are linked to a more aggressive course of the disease and worse overall survival rates. TP53 mutations are mostly seen in triple-negative breast cancer, a very diverse kind of the disease. The majority of TP53 mutations originate in the replacement of individual amino acids within the p53 protein's core domain, giving rise to a variety of variations referred to as "mutant p53s." In addition to gaining carcinogenic qualities through gain-of-function pathways, these mutants lose the typical tumor-suppressive features of p53 to variable degrees. The gain-of-function impact of stabilized mutant p53 causes tumor-specific dependency and resistance to therapy. P53 is a prospective target for cancer therapy because of its tumor-suppressive qualities and the numerous alterations that it experiences in tumors. Phenotypic abnormalities in breast cancer, notably poorly differentiated basal-like tumors are frequently linked to high-grade tumors. By comparing data from cell and animal models with clinical outcomes in breast cancer, this study investigates the molecular mechanisms that convert gene alterations into the pathogenic consequences of mutant p53's tumorigenic activity. The study delves into current and novel treatment approaches aimed at targeting p53 mutations, taking into account the similarities and differences in p53 regulatory mechanisms between mutant and wild-type forms, as well.

Indexed as

Breast NeoplasmsTumor Suppressor Protein p53AnimalsFemaleHumansMutationTP53 protein, humanTumor Suppressor Protein p53Breast cancerFerroptosisGain-of-functionHSP90Metabolic reprogrammingMutp53

Identifiers

PMID39390510
PMCPMC11466041

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.