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Telomeres and Telomerase02:41

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In eukaryotic DNA replication, a single-stranded DNA fragment remains at the end of a chromosome after the removal of the final primer. This section of DNA cannot be replicated in the same manner as the rest of the strand because there is no 3’ end to which the newly synthesized DNA can attach. This non-replicated fragment results in gradual loss of the chromosomal DNA during each cell duplication. Additionally, it can induce a DNA damage response by enzymes that recognize single-stranded...
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Modeling Spontaneous Metastatic Renal Cell Carcinoma mRCC in Mice Following Nephrectomy
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Telomere-based Risk Model for Prognosis Prediction in Clear Cell Renal Cell Carcinoma.

Shuai Guo1, Chunyang Chen1, Yunjie Guo1

  • 1Department of Urology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.

Current Medicinal Chemistry
|February 1, 2026
PubMed
Summary

This study identified six telomere-related genes as potential diagnostic biomarkers for clear cell renal cell carcinoma (ccRCC). These genes show high expression in ccRCC and correlate with immune cell infiltration, suggesting diagnostic and therapeutic potential.

Keywords:
CEP55.Weighted co-expression network analysisclear cell renal cell carcinomaprotein-protein interaction networksingle-cell RNA sequencingtelomere

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Area of Science:

  • Oncology
  • Genetics
  • Biomarker Discovery

Background:

  • Telomeres are crucial in cancer research, particularly in renal cell carcinoma (RCC).
  • Clear cell renal cell carcinoma (ccRCC) is the most common subtype of RCC, necessitating specific diagnostic tools.
  • Identifying reliable biomarkers for ccRCC is essential for early detection and treatment.

Purpose of the Study:

  • To identify novel diagnostic biomarkers for ccRCC by analyzing telomere-related genes.
  • To investigate the correlation between telomere-related genes, immune cell infiltration, and ccRCC progression.
  • To validate the expression and functional significance of identified candidate genes in ccRCC.

Main Methods:

  • Utilized TelNet database, TCGA, and GEO data for telomere enrichment analysis (ssGSEA).
  • Applied WGCNA, differential expression analysis, PPI networks, LASSO, and SVM-RFE for gene selection.
  • Evaluated immune cell infiltration using CIBERSORT and ESTIMATE; performed single-cell analysis and in vitro assays for validation.

Main Results:

  • ccRCC exhibited a higher telomere score compared to normal tissues.
  • Six key genes (ASPM, CENPF, CEP55, MELK, BUB1, EXO1) were identified as feature genes with significant diagnostic efficacy.
  • These genes were highly expressed in ccRCC, positively correlated with immune cells (especially T cells), and CEP55 knockdown inhibited ccRCC cell migration and invasion.

Conclusions:

  • Six telomere-related genes demonstrate diagnostic value for ccRCC.
  • These genes are associated with immune infiltration and may serve as potential diagnostic and therapeutic targets.
  • The findings support the development of novel diagnostic methods for ccRCC based on these identified genes.