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Synapse
April 16, 2026Genome biology0 citationsOpen Access

Proteogenomic decoding of chemotherapy resistance in patients with triple-negative breast cancer

DLDong Yun LeeMKMin Hwan KimYHYumi Hwang

Key Points

  • To investigate how proteogenomic profiling can predict chemotherapy resistance in triple-negative breast cancer and identify relevant biomarkers.
  • Conducted integrative proteogenomic profiling of tumor samples.
  • Analyzed data to predict chemotherapy resistance.
  • Identified actionable biomarkers for therapeutic strategies.
  • Successfully predicted chemotherapy resistance using proteogenomic data.
  • Identified specific biomarkers associated with treatment outcomes.
  • Provided a framework for personalized therapeutic approaches.

Abstract

Integrative proteogenomic profiling enables robust prediction of chemotherapy resistance in triple-negative breast cancer and identifies actionable biomarkers providing a framework for advancing personalized therapeutic strategies.

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Cite This Study

Lee et al. (2026) studied this question.

synapsesocial.com/papers/69e07c632f7e8953b7cbd9ddhttps://doi.org/10.1186/s13059-026-04053-7
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