Publications by authors named "Putri Nur Fatin"

Article Synopsis
  • Triple-negative breast cancers (TNBCs) are challenging to treat, but some may respond to PARP inhibitors based on their genetic features, even if they don't carry BRCA mutations.
  • Researchers analyzed genomic data from 129 TNBC samples in Malaysia, creating a machine learning tool to identify homologous recombination deficiency (HRD) in these cancers.
  • The classifier showed high accuracy in detecting HRD features, which could help identify TNBC patients who might benefit from specific treatments like PARP inhibitors or platinum-based chemotherapy.
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