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Systematic discrimination of the repetitive genome in proximity of ferroptosis genes and a novel prognostic signature correlating with the oncogenic lncRNA CRNDE in multiple myeloma

  • Jiading Qin
  • , Amit Sharma
  • , Yulu Wang
  • , Fabian Tobar-Tosse
  • , Tikam Chand Dakal
  • , Hongde Liu
  • , Hongjia Liu
  • , Bo Ke
  • , Chunfang Kong
  • , Tingting Liu
  • , Chunxia Zhao
  • , Ingo G.H. Schmidt-Wolf
  • , Chenghao Jin
  • Nanchang University
  • Jiangxi Provincial People’s Hospital
  • Soochow University
  • University Hospital of Bonn
  • Mohan Lal Sukhadia University
  • State Key Laboratory of Bioelectronics

Producción: Contribución a una revistaArtículorevisión exhaustiva

9 Citas (Scopus)

Resumen

Emerging insights into iron-dependent form of regulated cell death ferroptosis in cancer have opened a perspective for its use in cancer therapy. Of interest, a systematic profiling of ferroptosis gene signatures as prognostic factors has gained special attention in several cancers. Herein, we sought to investigate the presence of repetitive genomes in the vicinity of ferroptosis genes that may influence their expression and to establish a prognostic gene signature associated with multiple myeloma (MM). Our analysis showed that genes associated with ferroptosis were enriched with the repetitive genome in their vicinity, with a strong predominance of the SINE family, followed by LINE, of which the most significant discriminant values were SINE/Alu and LINE/L1, respectively. In addition, we examined in detail the performance of these genes as a cancer risk prediction model and specified fourteen ferroptosis-related gene signatures, which identified MM high-risk patients with lower immune/stromal scores with higher tumor purity in their immune microenvironment. Of interest, we also found that lncRNA CRNDE correlated with a risk score and was highly associated with the majority of genes comprising the signature. Taken together, we propose to investigate the molecular impact of the repetitive genome we have highlighted on the local transcriptome of ferroptosis genes in cancer. Furthermore, we revealed a genomic signature/biomarker related to ferroptosis that can be used to predict the risk of survival in MM patients.

Idioma originalInglés
Número de artículo1026153
PublicaciónFrontiers in Oncology
Volumen12
DOI
EstadoPublicada - 20 dic 2022

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 3: Salud y bienestar
    ODS 3: Salud y bienestar

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