Molecular Cancer (Aug 2024)

Induction of circulating ABCB1 transcripts under platinum-based chemotherapy indicates poor prognosis and a bone micrometastatic phenotype in ovarian cancer patients

  • Franziska Maria Schwarz,
  • Jan Dominik Kuhlmann,
  • Jorrin Kämpfer,
  • Anna Klimova,
  • Daniel Martin Klotz,
  • Lisa Freitag,
  • Pia Herrmann,
  • Viktoria Zinnow,
  • Janice Smith,
  • Theresia Scheller,
  • Wolfgang Walther,
  • Pauline Wimberger,
  • Ulrike Stein

DOI
https://doi.org/10.1186/s12943-024-02087-8
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 7

Abstract

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Abstract The drug efflux transporter P-glycoprotein, encoded by the ABCB1 gene, promotes acquired chemoresistance. We explored the presence and clinical relevance of circulating cell-free ABCB1 transcripts (cfABCB1tx) in ovarian cancer patients (173 longitudinal serum samples from 79 cancer patients) using digital droplet PCR. cfABCB1tx were readily detectable at primary diagnosis (median 354 mRNA copies/20 µl serum), paralleled FIGO-stage and predicted surgical outcome (p = 0.023, p=0.022, respectively). Increased cfABCB1tx levels at primary diagnosis indicated poor PFS (HR = 2.329, 95%CI:1.374–3.947, p = 0.0017) and OS (HR = 2.074, 95%CI:1.194–3.601, p = 0.0096). cfABCB1tx induction under platinum-based chemotherapy was an independent predictor for poor OS (HR = 2.597, 95%CI: 1.218–5.538, p = 0.013) and paralelled a micrometastatic phenotype, shaped by the presence of disseminated tumor cells in the bone marrow. A strong correlation was observed between cfABCB1tx and circulating transcripts of the metastasis-inducer MACC1, which is the transcriptional activator of ABCB1. Combined assessment of cfABCB1tx and circulating cell-free MACC1 transcripts (cfMACC1tx) resulted in an improved prognostic prediction, with the cfABCB1tx-high/cfMACC1tx-high phenotype bearing the highest risk for relapse and death. Conclusively, we provide proof of principle, that ABCB1 transcripts are readily traceable in the liquid-biopsy of ovarian cancer patients, advancing a new dimension for systemic monitoring of ABCB1/P-glycoprotein expression dynamics.

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