Double-stranded RNA induction asa potential dynamic biomarkerfor DNA-demethylating agents

Minjeong Kang1, Raisa Kharbash1, Ja Min Byun2,3,4

  • 1Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Insights

Hypomethylating agents (HMAs) increase double-stranded RNA (dsRNA) levels, predicting treatment success in cancer patients. However, increased nc886 RNA expression can reduce HMA effectiveness, highlighting a potential biomarker for therapy response.

Area of Science:

  • Oncology
  • Immunology
  • Molecular Biology

Background:

  • Hypomethylating agents (HMAs) like azacitidine and decitabine induce cancer cell death by demethylating DNA and promoting tumor suppressor gene expression.
  • HMAs also trigger innate immune responses and apoptosis through viral mimicry by reactivating endogenous double-stranded RNA (dsRNA) transcription.
  • The expression patterns of endogenous dsRNAs and their role in HMA efficacy are not well understood.

Purpose of the Study:

  • To investigate the dynamic expression patterns of total dsRNAs regulated by HMAs.
  • To explore the potential of monitoring dsRNA levels as a predictive biomarker for HMA therapy outcomes.
  • To identify factors influencing HMA efficacy, such as nc886 RNA expression.

Main Methods:

  • Utilized amidine-conjugated spiropyran (Am-SP) to examine dynamic dsRNA expression.
  • Analyzed bone marrow aspirates from myelodysplastic syndrome and acute myeloid leukemia patients treated with HMAs.
  • Applied the approach to solid tumor cell lines to correlate dsRNA induction with decitabine effectiveness.

Main Results:

  • A significant increase in total dsRNA levels was observed post-HMA treatment, specifically in patients who responded positively to therapy.
  • The degree of dsRNA induction correlated with decitabine's effectiveness in most solid tumor cell lines.
  • Decitabine efficacy was diminished when dsRNA induction was accompanied by increased nc886 RNA expression.

Conclusions:

  • Monitoring total dsRNA levels using small molecules like Am-SP can serve as an analytical method.
  • Increased dsRNA levels show potential as a dynamic biomarker for predicting clinical outcomes of HMA therapy.
  • The interplay between dsRNA induction and nc886 RNA expression is critical for determining HMA treatment effectiveness.

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