Evidence map›Paper›PMID 40295602›Full record

ArticleScientific reports2025

Discovery of Z1362873773: a novel fascin inhibitor from a large chemical library for colorectal cancer.

Alejandro Rodríguez-Martínez, Lucía Giraldo-Ruiz, María C Ramos, Irene Luque, Diogo Ribeiro, Fátima Postigo-Corrales, Begoña Alburquerque-González, Silvia Montoro-García, Ana Belén Arroyo-Rodríguez, Pablo Conesa-Zamora and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Discovery of Novel Molecular Scaffolds to OvercomeInternational journal of molecular sciences · 2026
    Article
  2. Article
  3. 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

13 authors.

Alejandro Rodríguez-MartínezStructural Bioinformatics and High Performance Computing Research Group (BIO-HPC), UCAM Universidad Católica de Murcia (UCAM), HiTech Innovation Hub, Murcia, 30107, Spain.
Lucía Giraldo-RuizDepartamento de Química Física, Instituto de Biotecnología y Unidad de Excelencia de Química aplicada a Biomedicina y Medioambiente, Universidad de Granada, Campus Fuentenueva s/n, Granada, 18071, Spain.
María C RamosFundación MEDINA, PTS Health Sciences Technology Park, Avenida del Conocimiento 34, Granada, 18016, Spain.
Irene LuqueDepartamento de Química Física, Instituto de Biotecnología y Unidad de Excelencia de Química aplicada a Biomedicina y Medioambiente, Universidad de Granada, Campus Fuentenueva s/n, Granada, 18071, Spain.
Diogo RibeiroGenetics, Molecular Pathology and Rare Diseases Research Group, Universidad Católica de Murcia (UCAM), Guadalupe, 30107, Spain.
Fátima Postigo-CorralesGenetics, Molecular Pathology and Rare Diseases Research Group, Universidad Católica de Murcia (UCAM), Guadalupe, 30107, Spain.
Begoña Alburquerque-GonzálezGenetics, Molecular Pathology and Rare Diseases Research Group, Universidad Católica de Murcia (UCAM), Guadalupe, 30107, Spain.
Silvia Montoro-GarcíaGenetics, Molecular Pathology and Rare Diseases Research Group, Universidad Católica de Murcia (UCAM), Guadalupe, 30107, Spain.
Ana Belén Arroyo-RodríguezMolecular Pathology and Pharmacogenetics Research Group, Instituto Murciano de Investigación Biosanitaria (IMIB), Hospital General Universitario Santa Lucía, Cartagena, 30202, Spain.
Pablo Conesa-ZamoraGenetics, Molecular Pathology and Rare Diseases Research Group, Universidad Católica de Murcia (UCAM), Guadalupe, 30107, Spain.
Ana María HurtadoGenetics, Molecular Pathology and Rare Diseases Research Group, Universidad Católica de Murcia (UCAM), Guadalupe, 30107, Spain.
Ginés Luengo-GilGenetics, Molecular Pathology and Rare Diseases Research Group, Universidad Católica de Murcia (UCAM), Guadalupe, 30107, Spain. gluengo@ucam.edu.
Horacio Pérez-SánchezStructural Bioinformatics and High Performance Computing Research Group (BIO-HPC), UCAM Universidad Católica de Murcia (UCAM), HiTech Innovation Hub, Murcia, 30107, Spain. hperez@ucam.edu.

Funding

Fundación Científica Asociación Española Contra el Cáncer PRDMU246084RODRHorizon 2020 GA848098Instituto de Salud Carlos III PI23/00601Junta de Andalucía P18-RT-1193
6 · The paper itself

Abstract

Metastasis is one of the leading causes of cancer-related death worldwide. Fascin, a protein that bundles actin filaments to produce protrusions in cancer cells, plays a significant role in the enhancement of cell migration. This protein has been shown that the overexpression of this protein is related to the appearance of different types of cancer, such as colorectal cancer. In this study, we conducted in silico screening of the Enamine library, a compound library with a broad chemical space. Using a ligand-based virtual screening approach based on the pharmacophore model of G2, we identified the predicted inhibitors. First, these compounds were validated by physicochemical analysis. Differential scanning calorimetry (DSF) was used to study the binding between the predicted compounds and fascin protein, followed by an F-actin bundling assay to determine which compounds inhibited the bundling function of fascin. Z1362873773, which exhibited binding to fascin and inhibited F-actin bundling, was further tested in cell cultures to assess its effects on cancer cell viability and migration as well as in organoid models to evaluate potential cytotoxicity. Finally, we established a protocol that can be applied to discover anti-fascin agents from diverse compound libraries. A new molecule has been identified with considerable fascin inhibitory and migration-arresting capacity, which may lead to the development of new therapies to treat cancer.

Indexed as

Antineoplastic AgentsCarrier ProteinsColorectal NeoplasmsMicrofilament ProteinsSmall Molecule LibrariesActinsCell Line, TumorCell MovementCell SurvivalDrug DiscoveryHumansActinsAntineoplastic AgentsCarrier ProteinsfascinMicrofilament ProteinsSmall Molecule Libraries

Identifiers

PMID40295602
PMCPMC12037858

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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.