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Efficient gene expression signature for a breast cancer immuno-subtype

Author

Listed:
  • Ben Galili
  • Xavier Tekpli
  • Vessela N Kristensen
  • Zohar Yakhini

Abstract

Motivation and background: The patient’s immune system plays an important role in cancer pathogenesis, prognosis and susceptibility to treatment. Recent work introduced an immune related breast cancer. This subtyping is based on the expression profiles of the tumor samples. Specifically, one study showed that analyzing 658 genes can lead to a signature for subtyping tumors. Furthermore, this classification is independent of other known molecular and clinical breast cancer subtyping. Finally, that study shows that the suggested subtyping has significant prognostic implications. Results: In this work we develop an efficient signature associated with survival in breast cancer. We begin by developing a more efficient signature for the above-mentioned breast cancer immune-based subtyping. This signature represents better performance with a set of 579 genes that obtains an improved Area Under Curve (AUC). We then determine a set of 193 genes and an associated classification rule that yield subtypes with a much stronger statistically significant (log rank p-value

Suggested Citation

  • Ben Galili & Xavier Tekpli & Vessela N Kristensen & Zohar Yakhini, 2021. "Efficient gene expression signature for a breast cancer immuno-subtype," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-14, January.
    • Handle: RePEc:plo:pone00:0245215
    DOI: 10.1371/journal.pone.0245215
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