Evidence map›Paper›PMID 40603978›Full record

ArticleScientific reports2025

Dual functions of the ΔNp63-miR-141-3p-YAP1 regulatory axis in cervical cancer progression are dependent on histological subtype.

Somayeh Panahi-Moghadam, Majid Sadeghizadeh, Shirin Farivar, Faezeh Vakhshiteh

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Article in Scientific reports, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Somayeh Panahi-MoghadamDepartment of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, 14115154, Iran.
Majid SadeghizadehDepartment of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, 14115154, Iran. sadeghma@modares.ac.ir.
Shirin FarivarDepartment of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, 1983963113, Iran. s_farivar@sbu.ac.ir.
Faezeh VakhshitehOncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, 1449614535, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer (CC) poses a significant global health challenge, necessitating the development of novel therapeutic strategies. The interplay between the p63 isoform (ΔNp63), microRNA-141-3p (miR-141-3p), and Yes-associated protein 1 (YAP1) has emerged as a potential area of interest in cancer progression. This study aimed to investigate the functional relationship between the between the p63 isoform (ΔNp63), miR-141-3p and YAP1 in modulating migration, invasion, and epithelial-mesenchymal transition (EMT) in two CC cell lines, CaSki, and HeLa, which are human cervical squamous cell carcinoma (SCC) and adenocarcinoma (ADC) cells, respectively. The Gene Expression Omnibus (GEO) datasets, were utilized to assess the expression profiles of TP63 and YAP1 in the cervical SCC and ADC samples by using the GEO2R tool. The prediction software (miRDIP, miRmap, and TargetScan), and RT-qPCR were used to determine the relationship between genes. Different assays were performed for proliferative, migratory and invasive abilities of cells. The results were confirmed by western blot analysis. The ΔNp63-miR-141-3p-YAP1 axis exhibited distinct, cell-line-specific functions. In HeLa cells, this axis promoted a prometastatic phenotype by upregulating YAP1, leading to increased proliferation, migration, invasion, and EMT. Conversely, in CaSki cells, the same axis demonstrated an antimetastatic function by downregulating YAP1. YAP1 expression was significantly higher in HeLa cells compared to CaSki cells. In HeLa cells, YAP1 expression appeared to be regulated not solely by the upstream ΔNp63-miR-141-3p axis, suggesting its role as a key oncogene in HeLa cell progression. MiR-141-3p demonstrated context-dependent effects, exhibiting both pro- and anti-metastatic activities depending on the specific cell line. These findings highlight the complex and subtype-specific functions of the ΔNp63-miR-141-3p-YAP1 regulatory network in cervical cancer progression. In summary, our data highlights the different functions of ΔNp63-miR-141-3p-YAP1 axis in regulating proliferation, migration and invasion as well as EMT of different cervical cancer cells.

Indexed as

Adaptor Proteins, Signal TransducingAdenocarcinomaCarcinoma, Squamous CellMicroRNAsTranscription FactorsTumor Suppressor ProteinsUterine Cervical NeoplasmsCell Line, TumorCell MovementCell ProliferationDisease ProgressionEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHeLa CellsHumansAdaptor Proteins, Signal TransducingMicroRNAsMIRN141 microRNA, humanTP63 protein, humanTranscription FactorsTumor Suppressor ProteinsYAP1 protein, humanYAP-Signaling ProteinsCervical cancerEMTmiR-141-3pYAP1ΔNp63

Identifiers

PMID40603978
PMCPMC12222551

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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.