Evidence map›Paper›PMID 42127228›Full record

ReviewChemistry & biodiversity2026

From Scaffold to Therapy: Benzimidazole Pharmacophore Evolution in Breast Cancer Research.

Appramdeep Kaur, Gurvinder Singh

Abstract readReview
In one paragraph

Review in Chemistry & biodiversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Appramdeep KaurSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India.
Gurvinder SinghSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India.ORCID https://orcid.org/0000-0002-7337-3575

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most common malignancies occurring in women worldwide is breast cancer, which highlights the high necessity of new and more efficient therapeutic interventions. Over the last several years, benzimidazole-based compounds have received much scientific attention because of their wide range of biological activities. The current study offers a detailed discussion of the more recent developments in benzimidazole derivatives for the management of breast cancer with a particular focus on their structure-activity relationships (SAR), molecular pathobiology, and therapeutic consequences. Recent studies between 2019 and 2025 have shown that benzimidazole derivatives are able to effectively react with a number of key molecular targets, including peptidyl-prolyl cis-trans isomerase NIMA-interacting 1 (Pin1), epidermal growth factor receptor (EGFR), B-cell lymphoma 2 (Bcl-2), vascular endothelial growth factor receptor (VEGFR-2), topoisomerases, tubulin, and histone deacetylases. In such interactions, the compounds trigger apoptosis, cell-cycle arrest, autophagy, and the generation of oxidative stress in malignant cells-and usually exhibit minimal toxicity to normal tissues. The present work summarizes recent information about benzimidazole pharmacophores -, including their pharmacological targets, SAR, and mechanisms of action, and defines future directions for the development of selective, potent, and clinically viable benzimidazole-based compounds for the treatment of breast cancer.

Indexed as

Antineoplastic AgentsBenzimidazolesBreast NeoplasmsApoptosisFemaleHumansPharmacophoreStructure-Activity RelationshipAntineoplastic AgentsbenzimidazoleBenzimidazolesanticancer mechanismsapoptosisbenzimidazolebreast cancerstructure activity relationshiptargeted therapy

Identifiers

PMID42127228
PMCPMC13381002

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.