Retrospective analysis of Schlafen11 (SLFN11) to predict the outcomes to therapies affecting the DNA damage response

Sophie E Willis1, Claudia Winkler2, Martine P Roudier1

  • 1Translational Medicine, Oncology R&D, AstraZeneca, Cambridge, UK.

British Journal of Cancer
|October 19, 2021
PubMed
Abstract

Insights

Schlafen11 (SLFN11) absence may cause resistance to DNA-damaging agents (DDAs) and PARP inhibitors. High SLFN11 levels predict better outcomes with DDAs in SCLC and sensitivity to olaparib in ovarian cancer.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biomarker Discovery

Background:

  • Schlafen11 (SLFN11) is a putative DNA/RNA helicase implicated in cellular responses to DNA damage.
  • Its absence is hypothesized to confer resistance to DNA-damaging agents (DDAs) and poly(ADP-ribose) polymerase (PARP) inhibitors.
  • Understanding SLFN11's role is crucial for predicting treatment efficacy in various cancers.

Purpose of the Study:

  • To develop and validate a clinical immunohistochemistry assay for SLFN11.
  • To investigate the correlation between tumor SLFN11 levels and patient outcomes.
  • To assess SLFN11 as a predictive biomarker for standard-of-care therapies and olaparib maintenance treatment.

Main Methods:

  • Development and validation of a clinically applicable SLFN11 immunohistochemistry assay.
  • Retrospective analysis of tumor SLFN11 levels in patients treated with standard therapies.
  • Correlation of SLFN11 levels with patient outcomes in small cell lung cancer (SCLC) and ovarian cancer cohorts.
  • Multivariate analysis in a Phase II olaparib maintenance study (Study19) for relapsed platinum-sensitive ovarian cancer.

Main Results:

  • High SLFN11 expression was associated with improved prognosis in SCLC patients treated with DDA (platinum-etoposide).
  • SLFN11 levels showed a weaker association with paclitaxel-platinum response in ovarian cancer.
  • In Study19, high SLFN11 tumor levels correlated with olaparib sensitivity in ovarian cancer, indicated by a lower progression-free survival hazard ratio.
  • This trend persisted for PFS, but not overall survival, after adjusting for BRCA status.

Conclusions:

  • Clinical evidence supports SLFN11 as a biomarker for selecting DDA therapy in SCLC.
  • Further clinical investigation is warranted to establish SLFN11 as a predictive biomarker for PARP inhibitors.
  • SLFN11's role in predicting response to DNA-damaging agents and PARP inhibitors requires continued research.

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