Evidence map›Paper›PMID 41234389›Full record

ArticleIranian journal of pharmaceutical research : IJPR

Dual Inhibitors of c-MET and EGFR in Triple Negative Breast Cancer: Pharmacophore Modeling and Molecular Dynamics Based in Silico Drug Repositioning.

Shadi Abkhiz, Parastoo Tarighi, Homa Azizian

Abstract read
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Article in Iranian journal of pharmaceutical research : IJPR. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

3 authors.

Shadi AbkhizDepartment of Medical Biotechnology, Faculty of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.
Parastoo TarighiDepartment of Medical Biotechnology, Faculty of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.
Homa AzizianDepartment of Medicinal Chemistry, School of Pharmacy, Iran University of Medical Science, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The cross-talk between mesenchymal-epithelial transition factor (c-MET) and epidermal growth factor receptor (EGFR) plays a role in breast cancer (BC) progression and resistance to various targeted therapies. Consequently, the simultaneous overexpression of c-MET and EGFR in triple-negative breast cancer (TNBC) is associated with poorer clinicopathological outcomes and increased risks. Despite the development of new c-MET and EGFR inhibitors, the high cost of these drugs makes them inaccessible to most patients. Objectives: Our study investigated the therapeutic potential of existing drugs by repurposing small molecules against these two receptors. Methods: A database of 2028 small molecule agents was screened using pharmacophore-based virtual screening protocols. To rank the compounds, Gibbs free binding energies were used to analyze their binding energies and interactions with these two receptors. Results: It was determined that ARR-4 and ADHHRRR-1 represented the most validated pharmacophore models for c-MET and EGFR, respectively, using receiver operating characteristic (ROC), enrichment factor (EF)1%, and Boltzmann-enhanced discrimination of receiver operating characteristic (BEDROC) scores. As a result, eight small molecules were proposed as potential dual inhibitors of c-MET and EGFR, with pasireotide showing the highest affinity for both. According to our analysis of molecular dynamic simulations, pasireotide, the most energetically favorable compound, is proposed as a dual inhibitor of c-MET and EGFR. Conclusions: Considering pasireotide's potential to target c-MET and EGFR pathways, our findings provide a strong rationale for its further preclinical validation in the treatment of TNBC. The demonstrated efficacy and safety of pasireotide in this aggressive subtype of cancer can now be evaluated through subsequent studies.

Indexed as

c-METDrug RepositioningEGFRMolecular Dynamics SimulationTriple Negative Breast CancerTyrosine Kinase InhibitorsVirtual Screening

Identifiers

PMID41234389
PMCPMC12606863

What Socratic holds

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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 Socratic graph.