Opposing roles of YY1 and RKIP in cancer progression and therapy resistance

Christos Rigopoulos1, Stavroula Baritaki2, Ilias Georgakopoulos-Soares3

  • 1Department of Life Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus; Cancer Genetics, Genomics and Systems Biology Laboratory, Basic and Translational Cancer Research Center (BTCRC), Nicosia, Cyprus.

Insights

Yin Yang 1 (YY1) drives cancer, while Raf kinase inhibitory protein (RKIP) suppresses it. Their opposing roles in tumors offer new targets for cancer therapy and patient stratification.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Research

Background:

  • Yin Yang 1 (YY1) and Raf kinase inhibitory protein (RKIP) have opposing functions in cancer biology.
  • YY1 promotes oncogenic pathways, immune evasion, and therapy resistance.
  • RKIP inhibits key cancer-promoting pathways, suppressing metastasis and chemoresistance.

Purpose of the Study:

  • To investigate the antagonistic roles of YY1 and RKIP in tumor biology.
  • To explore the clinical significance of YY1 and RKIP expression in various cancers.
  • To evaluate YY1 and RKIP as potential therapeutic targets and biomarkers.

Main Methods:

  • Pan-cancer transcriptomic analysis to identify YY1 and RKIP expression patterns.
  • Correlation analysis of YY1/RKIP expression with clinical outcomes and therapeutic responses.
  • Review of therapeutic strategies targeting YY1 and RKIP.

Main Results:

  • Recurrent YY1 upregulation and RKIP downregulation observed across multiple cancer types.
  • High YY1 expression correlates with poor prognosis and reduced treatment efficacy.
  • High RKIP expression predicts better outcomes and enhanced therapeutic sensitivity.
  • YY1 and RKIP differentially modulate immune cell populations within the tumor microenvironment.

Conclusions:

  • YY1 and RKIP represent a critical regulatory axis in cancer with prognostic and predictive value.
  • Targeting YY1 or restoring RKIP function presents promising therapeutic avenues.
  • Biomarker-driven patient stratification based on YY1/RKIP levels can guide precision oncology strategies.

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