Personalized Medicine and Imaging Longitudinal Noninvasive Imaging of Progesterone Receptor as a Predictive Biomarker of Tumor Responsiveness to Estrogen Deprivation Therapy

نویسندگان

  • Szeman Ruby Chan
  • Amy M. Fowler
  • Julie A. Allen
  • Dong Zhou
  • Carmen S. Dence
  • Terry L. Sharp
  • Nicole M. Fettig
  • Farrokh Dehdashti
  • John A. Katzenellenbogen
چکیده

Purpose: To investigate whether longitudinal functional PET imaging of mammary tumors using the radiopharmaceuticals [F]FDG (to measure glucose uptake), [F]FES [to measure estrogen receptor (ER) levels], or [F]FFNP [to measure progesterone receptor (PgR) levels] is predictive of response to estrogendeprivation therapy. Experimental Design: [F]FDG, [F]FES, and [F]FFNP uptake in endocrine-sensitive and -resistant mammary tumors was quantified serially by PET before ovariectomy or estrogen withdrawal in mice, and on days 3 and 4 after estrogen-deprivation therapy. Specificity of [F]FFNP uptake in ERaþ mammary tumors was determined by competition assay using unlabeled ligands for PgR or glucocorticoid receptor (GR). PgR expression was also assayed by immunohistochemistry (IHC). Results: The levels of [F]FES and [F]FDG tumor uptake remained unchanged in endocrine-sensitive tumors after estrogen-deprivation therapy compared with those at pretreatment. In contrast, estrogen-deprivation therapy led to a reduction in PgR expression and [F]FFNP uptake in endocrine-sensitive tumors, but not in endocrine-resistant tumors, as early as 3 days after treatment; the changes in PgR levels were confirmed by IHC. Unlabeled PgR ligand R5020 but not GR ligand dexamethasone blocked [F]FFNP tumor uptake, indicating that [F]FFNP bound specifically to PgR. Therefore, a reduction in FFNP tumor to muscle ratio in mammary tumors predicts sensitivity to estrogen-deprivation therapy. Conclusions: Monitoring the acute changes in ERa activity by measuring [F]FFNP uptake inmammary tumors predicts tumor response to estrogen-deprivation therapy. Longitudinal noninvasive PET imaging using [F]FFNP is a robust and effective approach topredict tumor responsiveness to endocrine treatment. Clin Cancer Res; 21(5); 1063–70. 2014 AACR.

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تاریخ انتشار 2015