Evidence map›Paper›PMID 39494258›Full record

ReviewAdvanced pharmaceutical bulletin2024

Cytobiological Alterations Induced by Celecoxib as an Anticancer Agent for Breast and Metastatic Breast Cancer.

Maher Monir Akl, Amr Ahmed

Abstract readReview
In one paragraph

Review in Advanced pharmaceutical bulletin, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
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.

Maher Monir AklDepartment of Chemistry, Faculty of Science, Mansoura University, 35516, Mansoura, Egypt.ORCID https://orcid.org/0000-0001-5480-1688
Amr AhmedThe Public Health Department, Riyadh First Health Cluster, Ministry of Health, Saudi Arabia.ORCID https://orcid.org/0000-0003-3477-236X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer remains a formidable public health challenge worldwide, characterized by its initiation within the breast's diverse tissues, particularly the ducts and lobules. This malignancy is predominantly categorized into three subtypes based on receptor status and genetic markers: hormone receptor-positive, HER2-positive, and triple-negative. Each subtype exhibits distinct biological behaviors and responses to treatment, which significantly influence the prognosis and management strategies. The development and metastatic spread of breast cancer are complex processes mediated by interactions between tumor cells and the host microenvironment, involving various cellular and molecular mechanisms. This review highlights the potential therapeutic role of celecoxib, a selective cyclooxygenase-2 (COX-2) inhibitor, in addressing the multifaceted aspects of breast cancer progression. Specifically, celecoxib modulates angiogenesis by reducing the levels of vascular endothelial growth factor (VEGF) through decreased PGE2 production, enhances the immune response by alleviating PGE2-mediated immunosuppression, and inhibits metastasis by limiting the activity of matrix metalloproteinases (MMPs). These mechanisms collectively hinder tumor growth, immune evasion, and metastatic spread. By synthesizing recent findings and analyzing the impact of celecoxib on these pathways, this paper seeks to delineate the integrated approaches necessary for managing metastatic breast cancer effectively.

Indexed as

AngiogenesisBreast cancer subtypesCelecoxibCOX-2 inhibitionMetastasis

Identifiers

PMID39494258
PMCPMC11530885

What OpenQuestion 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 OpenQuestion graph.