An original patient-derived xenograft of prostate cancer with cyst formation

Takeshi Yoshikawa1, Go Kobori1, Takayuki Goto1

  • 1Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.

The Prostate
|April 22, 2016
PubMed
Abstract

Insights

A new patient-derived xenograft (PDX) model, KUCaP3, was developed to study prostate cancer biology. This model exhibits androgen-dependent and castration-resistant growth, aiding in the search for new diagnostic and treatment biomarkers.

Area of Science:

  • Oncology
  • Cancer Biology
  • Genitourinary Cancers

Background:

  • High failure rates in oncology clinical trials highlight gaps in understanding cancer complexity.
  • Current androgen receptor pathway-targeted therapies for prostate cancer show limited effectiveness.
  • There is a critical need for preclinical models that better represent prostate cancer's biological diversity.

Purpose of the Study:

  • To establish a unique patient-derived xenograft (PDX) model for prostate cancer research.
  • To identify potential biomarkers for treatment efficacy and resistance.
  • To gain deeper insights into prostate cancer biology.

Main Methods:

  • A patient-derived xenograft (PDX) model, KUCaP3, was created by transplanting Japanese prostate cancer tissue into SCID mice.
  • Tumor growth dynamics were monitored before and after castration.
  • Immunohistochemistry, AR sequencing, and mass spectrometry were employed to analyze molecular markers, AR mutations, and protein expression in cyst fluid and serum.

Main Results:

  • The KUCaP3 model demonstrated successful serial passaging in vivo with a 60% take rate.
  • KUCaP3 exhibited androgen-dependent growth, cyst formation, and subsequent development of castration resistance.
  • The model was positive for AR, PSA, CK18, and α-methyl acyl-coenzyme A racemase, with an H875Y mutation in the AR gene. Elevated PSA levels were detected in cyst fluid and serum.

Conclusions:

  • KUCaP3 is a novel androgen-dependent PDX model with cyst-forming capabilities.
  • The model facilitates the detection of proteins like PSA in cystic fluid and serum.
  • This PDX model holds promise for evaluating molecular markers in prostate cancer diagnosis and treatment.

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