Literature DB >> 33924679

Reverse Engineering of Ewing Sarcoma Regulatory Network Uncovers PAX7 and RUNX3 as Master Regulators Associated with Good Prognosis.

Marcel da Câmara Ribeiro-Dantas1,2, Danilo Oliveira Imparato1, Matheus Gibeke Siqueira Dalmolin3, Caroline Brunetto de Farias3,4, André Tesainer Brunetto3, Mariane da Cunha Jaeger3,4, Rafael Roesler4,5, Marialva Sinigaglia3, Rodrigo Juliani Siqueira Dalmolin1,6.   

Abstract

Ewing Sarcoma (ES) is a rare malignant tumor occurring most frequently in adolescents and young adults. The ES hallmark is a chromosomal translocation between the chromosomes 11 and 22 that results in an aberrant transcription factor (TF) through the fusion of genes from the FET and ETS families, commonly EWSR1 and FLI1. The regulatory mechanisms behind the ES transcriptional alterations remain poorly understood. Here, we reconstruct the ES regulatory network using public available transcriptional data. Seven TFs were identified as potential MRs and clustered into two groups: one composed by PAX7 and RUNX3, and another composed by ARNT2, CREB3L1, GLI3, MEF2C, and PBX3. The MRs within each cluster act as reciprocal agonists regarding the regulation of shared genes, regulon activity, and implications in clinical outcome, while the clusters counteract each other. The regulons of all the seven MRs were differentially methylated. PAX7 and RUNX3 regulon activity were associated with good prognosis while ARNT2, CREB3L1, GLI3, and PBX3 were associated with bad prognosis. PAX7 and RUNX3 appear as highly expressed in ES biopsies and ES cell lines. This work contributes to the understanding of the ES regulome, identifying candidate MRs, analyzing their methilome and pointing to potential prognostic factors.

Entities:  

Keywords:  cancer of unknown primary; pediatric cancer; regulome; systems biology; transcription factor

Year:  2021        PMID: 33924679     DOI: 10.3390/cancers13081860

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  2 in total

1.  Identification and validation of a novel prognostic signature based on transcription factors in breast cancer by bioinformatics analysis.

Authors:  Yingmei Yang; Zhaoyun Li; Qianyi Zhong; Lei Zhao; Yichao Wang; Hongbo Chi
Journal:  Gland Surg       Date:  2022-05

Review 2.  The regulation of PBXs and their emerging role in cancer.

Authors:  Ying Liu; Xiang Ao; Xuehao Zhou; Chengcheng Du; Shouxiang Kuang
Journal:  J Cell Mol Med       Date:  2022-01-23       Impact factor: 5.310

  2 in total

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