Cancers (May 2023)

Gene Expression Pattern of <em>ESPL1</em>, <em>PTTG1</em> and <em>PTTG1IP</em> Can Potentially Predict Response to TKI First-Line Treatment of Patients with Newly Diagnosed CML

  • Eva Christiani,
  • Nicole Naumann,
  • Christel Weiss,
  • Birgit Spiess,
  • Helga Kleiner,
  • Alice Fabarius,
  • Wolf-Karsten Hofmann,
  • Susanne Saussele,
  • Wolfgang Seifarth

DOI
https://doi.org/10.3390/cancers15092652
Journal volume & issue
Vol. 15, no. 9
p. 2652

Abstract

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The achievement of major molecular response (MMR, BCR::ABL1 ≤ 0.1% IS) within the first year of treatment with tyrosine kinase inhibitors (TKI) is a milestone in the therapeutic management of patients with newly diagnosed chronic myeloid leukemia (CML). We analyzed the predictive value of gene expression levels of ESPL1/Separase, PTTG1/Securin and PTTG1IP/Securin interacting protein for MMR achievement within 12 months. Relative expression levels (normalized to GUSB) of ESPL1, PTTG1 and PTTG1IP in white blood cells of patients (responders n = 46, non-responders n = 51) at the time of diagnosis were comparatively analyzed by qRT-PCR. 3D scatter plot analysis combined with a distance analysis performed with respect to a commonly calculated centroid center resulted in a trend to larger distances for non-responders compared to the responder cohort (p = 0.0187). Logistic regression and analysis of maximum likelihood estimates revealed a positive correlation of distance (cut-off) with non-achieving MMR within 12 months (p = 0.0388, odds ratio 1.479, 95%CI: 1.020 to 2.143). Thus, 10% of the tested non-responders (cut-off ≥ 5.9) could have been predicted already at the time of diagnosis. Future scoring of ESPL1, PTTG1 and PTTG1IP transcript levels may be a helpful tool in risk stratification of CML patients before initiation of TKI first-line treatment.

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