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Distinct telomere length and molecular signatures in seminoma and non-seminoma of testicular germ cell tumor

  • Hua Sun
  • , Pora Kim
  • , Peilin Jia
  • , Ae Kyung Park
  • , Han Liang
  • , Zhongming Zhao*
  • *Corresponding author for this work
  • University of Texas Health Science Center at Houston
  • Sunchon National University
  • University of Texas MD Anderson Cancer Center

Research output: Contribution to journalJournal articlepeer-review

Abstract

Testicular germ cell tumors (TGCTs) are classified into two main subtypes, seminoma (SE) and non-seminoma (NSE), but their molecular distinctions remain largely unexplored. Here, we used expression data for mRNAs and microRNAs (miRNAs) from The Cancer Genome Atlas (TCGA) to perform a systematic investigation to explain the different telomere length (TL) features between NSE (n = 48) and SE (n = 55). We found that TL elongation was dominant in NSE, whereas TL shortening prevailed in SE. We further showed that both mRNA and miRNA expression profiles could clearly distinguish these two subtypes. Notably, four telomere-related genes (TelGenes) showed significantly higher expression and positively correlated with telomere elongation in NSE than SE: three telomerase activity-related genes (TERT, WRAP53 and MYC) and an independent telomerase activity gene (ZSCAN4). We also found that the expression of genes encoding Yamanaka factors was positively correlated with telomere lengthening in NSE. Among them, SOX2 and MYC were highly expressed in NSE versus SE, while POU5F1 and KLF4 had the opposite patterns. These results suggested that enhanced expression of both TelGenes (TERT, WRAP53, MYC and ZSCAN4) and Yamanaka factors might induce telomere elongation in NSE. Conversely, the relative lack of telomerase activation and low expression of independent telomerase activity pathway during cell division may be contributed to telomere shortening in SE. Taken together, our results revealed the potential molecular profiles and regulatory roles involving the TL difference between NSE and SE, and provided a better molecular understanding of this complex disease.

Original languageEnglish
Pages (from-to)1502-1512
Number of pages11
JournalBriefings in Bioinformatics
Volume20
Issue number4
DOIs
StatePublished - 2018.03.27

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • TGCT
  • expression
  • non-seminoma
  • seminoma
  • telomere length

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