Evidence map›Paper›PMID 41233882›Full record

ArticleBMC research notes2025

Specific transcriptional signature dataset of extracellular signal-regulated kinase 5 in leiomyosarcoma derived cell lines.

Jaime Jiménez-Suárez, Cristina Garnés-García, Pablo Fernández-Aroca, Juan Aparicio-Canada, Borja Belandia, María José Ruiz-Hidalgo, Ricardo Sánchez-Prieto, Francisco J Cimas

Abstract read
In one paragraph

Article in BMC research notes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Jaime Jiménez-SuárezLaboratorio de Oncología Molecular, Unidad de Medicina Molecular, Instituto de Biomedicina de Castilla-La Mancha, Unidad Asociada de Biomedicina UCLM, Unidad Asociada Al CSIC, Universidad de Castilla-La Mancha, 02008, Albacete, Spain.
Cristina Garnés-GarcíaLaboratorio de Oncología Molecular, Unidad de Medicina Molecular, Instituto de Biomedicina de Castilla-La Mancha, Unidad Asociada de Biomedicina UCLM, Unidad Asociada Al CSIC, Universidad de Castilla-La Mancha, 02008, Albacete, Spain.
Pablo Fernández-ArocaLaboratorio de Oncología Molecular, Unidad de Medicina Molecular, Instituto de Biomedicina de Castilla-La Mancha, Unidad Asociada de Biomedicina UCLM, Unidad Asociada Al CSIC, Universidad de Castilla-La Mancha, 02008, Albacete, Spain.
Juan Aparicio-CanadaLaboratorio de Oncología Molecular, Unidad de Medicina Molecular, Instituto de Biomedicina de Castilla-La Mancha, Unidad Asociada de Biomedicina UCLM, Unidad Asociada Al CSIC, Universidad de Castilla-La Mancha, 02008, Albacete, Spain.
Borja BelandiaDepartamento de Biología del Cáncer, Instituto de Investigaciones Biomédicas 'Sols-Morreale' (CSIC-UAM), Unidad Asociada de Biomedicina UCLM, Unidad Asociada Al CSIC, 28029, Madrid, Spain.
María José Ruiz-HidalgoLaboratorio de Oncología Molecular, Unidad de Medicina Molecular, Instituto de Biomedicina de Castilla-La Mancha, Unidad Asociada de Biomedicina UCLM, Unidad Asociada Al CSIC, Universidad de Castilla-La Mancha, 02008, Albacete, Spain.
Ricardo Sánchez-Prieto *Laboratorio de Oncología Molecular, Unidad de Medicina Molecular, Instituto de Biomedicina de Castilla-La Mancha, Unidad Asociada de Biomedicina UCLM, Unidad Asociada Al CSIC, Universidad de Castilla-La Mancha, 02008, Albacete, Spain. rsprieto@iib.uam.es.
Francisco J Cimas *Laboratorio de Oncología Molecular, Unidad de Medicina Molecular, Instituto de Biomedicina de Castilla-La Mancha, Unidad Asociada de Biomedicina UCLM, Unidad Asociada Al CSIC, Universidad de Castilla-La Mancha, 02008, Albacete, Spain. Franciscojose.cimas@uclm.es.

Funding

Agencia de Investigación e Innovación, Junta de Comunidades de Castilla-La Mancha 2022-GRIN-34150Contrato predoctoral para la formación de personal investigador en el marco del plan propio de I + D + I UCLM 2020-PREDUCLM-15144', co-financed by the European Social Fund Plus (ESF+) UCLM 2020-PREDUCLM-15144Ministerio de Ciencia e Innovación PID2021-122222OB-I00Universidad de Castilla-La Mancha contratos de investigadores postdoctorales para la excelencia científica en el desarrollo del Plan Propio de I+D+i, cofinanciada por el Fondo Social Europeo Plus (FSE+)
6 · The paper itself

Abstract

objectivesSoft-tissue sarcomas, particularly leiomyosarcomas, are aggressive tumors characterized by limited therapeutic options due to an insufficient understanding of their molecular drivers. To identify novel therapeutic targets, we investigated the role of Extracellular signal-regulated kinase-5 (ERK5), a critical signaling protein in soft-tissue sarcoma biology. The primary objective was to define the transcriptomic profile specifically associated with ERK5, enhancing the understanding of molecular mechanisms underlying leiomyosarcoma. DATA DESCRIPTION: Two uterine leiomyosarcoma cell lines, SK-UT-1 and AA, underwent ERK5 genetic knockdown via lentiviral transduction with shRNA followed by puromycin selection. Knockdown efficiency was confirmed through RT-qPCR and Western blotting. RNA sequencing was performed using the DNBSEQ platform. Raw reads underwent quality filtering and were aligned to the human genome (GRCh38.p13) with Bowtie2. Gene expression was quantified by RSEM, and differential expression analysis was conducted with DESeq2 (|log2FC|≥ 1, q-value ≤ 0.05). As a result, we identified 1218 and 227 differentially expressed genes for AA and SK-UT-1 respectively, and 81 in common for both cell lines. The raw and RNAseq data and sequences are available at the NCBI GEO repository under GSE297879. Sequence comparison could reveal new therapeutic targets based on the ERK5 signalling pathway, which is critical in experimental models of soft-tissue sarcoma.

Indexed as

Gene Expression Regulation, NeoplasticLeiomyosarcomaMitogen-Activated Protein Kinase 7TranscriptomeUterine NeoplasmsCell Line, TumorFemaleGene Expression ProfilingGene Knockdown TechniquesHumansMAPK7 protein, humanMitogen-Activated Protein Kinase 7ERK5LeiomyosarcomaMAPK7RNA-SeqSoft-tissue sarcoma

Identifiers

PMID41233882
PMCPMC12613414

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.