PI3K isoform dependence of PTEN-deficient tumors can be altered by the genetic context

Fabienne Schmit1, Tamara Utermark, Sen Zhang

  • 1Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02115.

Insights

Phosphatidylinositide-3-kinase (PI3K) inhibitors show promise in cancer therapy. PTEN-null tumors often depend on PI3K p110β, but concurrent Kras mutations shift this reliance to PI3K p110α.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Genetics

Background:

  • Isoform-selective inhibitors of phosphatidylinositide-3-kinase (PI3K) are emerging as a therapeutic strategy in cancer.
  • Tumors lacking the phosphatase and tensin homolog (PTEN) are frequently dependent on the p110β isoform of PI3K.
  • The impact of additional genetic alterations on PI3K isoform dependency in PTEN-null cancers remains to be fully elucidated.

Purpose of the Study:

  • To investigate the role of PI3K p110 isoforms in PTEN-deficient tumors with concurrent genetic alterations.
  • To determine if Kras activation influences PI3K isoform dependency in ovarian cancer models.

Main Methods:

  • Utilized a mouse model of ovarian endometrioid adenocarcinoma with activated Kras and PTEN loss.
  • Employed conditional deletion of PI3K p110α and p110β isoforms.
  • Assessed PI3K isoform dependence in ovarian surface epithelium (OSE) cells with combined PTEN and p53 deficiency, and with activated Kras.

Main Results:

  • In Kras-activated, PTEN-null ovarian cancer models, p110α ablation blocked tumor growth, while p110β ablation had no effect.
  • PTEN- and p53-deficient OSE cells showed dependency on p110β.
  • OSE cells with activated Kras, irrespective of PTEN status, were dependent on p110α.
  • Isoform-selective inhibitors confirmed these dependencies in established tumors.

Conclusions:

  • PTEN-null tumors can exhibit altered PI3K isoform reliance based on concurrent mutations.
  • Kras activation in PTEN-deficient settings redirects tumor dependency from PI3K p110β to p110α.
  • These findings have implications for tailoring PI3K inhibitor therapy based on specific cancer genetic profiles.

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