Evidence map›Paper›PMID 42415867›Full record

ArticleFrontiers in oncology2026

Evaluation of the CIB1R peptide derived from the cytoplasmic domain of neprilysin on cell migration in an

Carlos Alejandro Martínez-Armenta, Horacio Almanza-Reyes, Leslie Patrón-Romero, Adriana Sampayo-Reyes, Juan M Alcocer-González, Reyes Tamez-Guerra, Cristina Rodríguez-Padilla, Humberto Antonio Salazar-Sesatty, Omar Zardain-Medlich-Ducoulombier, Francisco González-Salazar and 1 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 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

11 authors.

Carlos Alejandro Martínez-ArmentaLaboratory of Immunology and Virology, Faculty of Biological Sciences, Autonomous University of Nuevo León, San Nicolás de los Garza, Nuevo León, Mexico.
Horacio Almanza-ReyesFaculty of Medicine and Psychology, Autonomous University of Baja California., Tijuana, Baja California, Mexico.
Leslie Patrón-RomeroFaculty of Medicine and Psychology, Autonomous University of Baja California., Tijuana, Baja California, Mexico.
Adriana Sampayo-ReyesLaboratory of Immunology and Virology, Faculty of Biological Sciences, Autonomous University of Nuevo León, San Nicolás de los Garza, Nuevo León, Mexico.
Juan M Alcocer-GonzálezLaboratory of Immunology and Virology, Faculty of Biological Sciences, Autonomous University of Nuevo León, San Nicolás de los Garza, Nuevo León, Mexico.
Reyes Tamez-GuerraLaboratory of Immunology and Virology, Faculty of Biological Sciences, Autonomous University of Nuevo León, San Nicolás de los Garza, Nuevo León, Mexico.
Cristina Rodríguez-PadillaLaboratory of Immunology and Virology, Faculty of Biological Sciences, Autonomous University of Nuevo León, San Nicolás de los Garza, Nuevo León, Mexico.
Humberto Antonio Salazar-SesattyLaboratory of Immunology and Virology, Faculty of Biological Sciences, Autonomous University of Nuevo León, San Nicolás de los Garza, Nuevo León, Mexico.
Omar Zardain-Medlich-DucoulombierDepartment of Basic Sciences, Vice-Rectorate of Health Sciences, University of Monterrey, San Pedro Garza García, Nuevo León, Mexico.
Francisco González-SalazarDepartment of Basic Sciences, Vice-Rectorate of Health Sciences, University of Monterrey, San Pedro Garza García, Nuevo León, Mexico.
Javier Vargas-VillarrealDepartment of Molecular Biology, Northeast Biomedical Research Center, Mexican Institute of Social Security, Monterrey, Nuevo León, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Lung cancer is characterized by high metastatic potential and poor clinical outcomes, underscoring the need for novel approaches to investigate mechanisms regulating tumor cell migration and invasion. The CIB1R peptide, derived from the cytoplasmic domain of neprilysin (NEP), has been proposed as a potential modulator of these processes. This study aimed to evaluate the effects of CIB1R and related peptides on cellular behaviors associated with metastasis in an Materials and methods: Peptides were prepared and administered under serum-free conditions. Cell viability was assessed using the Alamar Blue assay. Migration and invasion were evaluated using Transwell (Boyden chamber) assays, while cell adhesion was quantified on Matrigel-coated surfaces. Peptide-associated fluorescence was analyzed using flow cytometry and confocal microscopy with FITC-labeled peptides. Membrane integrity was assessed by propidium iodide exclusion. Statistical analyses were performed using one-way ANOVA, followed by the Tukey Results: CIB1R reduced cell migration and invasion in A549 cells in a dose-dependent manner without significantly affecting cell viability over 24 hours. However, similar inhibitory effects were observed with structurally related peptides, including a scrambled control sequence, indicating that the observed activity is not strictly sequence-specific. All peptides demonstrated strong cell-associated fluorescence signals, although the experimental design did not allow definitive discrimination between membrane-associated and intracellular localization. No significant increase in membrane permeability was detected under the conditions tested. Conclusions: These findings provide initial functional evidence that short cationic peptides derived from, or related to, the cytoplasmic domain of NEP can modulate cellular behaviors associated with tumor progression

Indexed as

A549 cellsCIB1R peptidelung cancermetastasismigrationtherapeutic agent

Identifiers

PMID42415867
PMCPMC13337379

What Socratic 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 Socratic graph.