Structural variation drives enhancer hijacking via 3D genome disruption in ccRCC - Summary - MDSpire

Structural variation drives enhancer hijacking via 3D genome disruption in ccRCC

  • By

  • Yu Dong

  • Wenjiao Xia

  • Zitong Yang

  • Liangliang Ren

  • Hongru Wang

  • Yiyang Zhou

  • Qinchen Li

  • Zhi Chen

  • Zhinan Xia

  • Yichun Zheng

  • Feifan Wang

  • Ning He

  • Bing Cheng

  • Dongmei Ma

  • Wei Shao

  • Wei Guo

  • Shuwen Wang

  • Ziqiao Liu

  • Junxiao Shen

  • Yiming Qi

  • Xuke Gong

  • Juan Jin

  • Bo Xie

  • Guixin Zhu

  • Cheng Zhang

  • January 6, 2026

  • 0 min

Share

Objective:

To investigate the role of structural variations (SVs) and 3D genome architecture in the pathogenesis of clear cell renal cell carcinoma (ccRCC).

Key Findings:
  • Identified novel variant targets in renal cancer linked to structural variation.
  • Revealed multidimensional 3D genome reorganization during ccRCC oncogenesis.
  • Validated a pathological enhancer hijacking event driving SEMA5B activation.
  • Developed a machine learning-based prognostic prediction model for ccRCC.
Interpretation:

The study highlights the significant interplay between structural variations and 3D genome architecture in ccRCC, suggesting that SVs can drive oncogenic regulation through alterations in chromatin organization.

Limitations:
  • The study primarily focuses on specific cell lines and may not fully represent the heterogeneity of ccRCC in patients.
  • Further validation in larger clinical cohorts is necessary to confirm the prognostic model's effectiveness.
Conclusion:

The findings enhance understanding of ccRCC's molecular basis and propose new therapeutic targets and biomarkers for precision oncology.

Original Source(s)

Related Content