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The MD Anderson Prostate Cancer Patient-derived Xenograft Series (MDA PCa PDX) Captures the Molecular Landscape of Prostate Cancer and Facilitates Marker-driven Therapy Development.
Palanisamy, Nallasivam; Yang, Jun; Shepherd, Peter D A; Li-Ning-Tapia, Elsa M; Labanca, Estefania; Manyam, Ganiraju C; Ravoori, Murali K; Kundra, Vikas; Araujo, John C; Efstathiou, Eleni; Pisters, Louis L; Wan, Xinhai; Wang, Xuemei; Vazquez, Elba S; Aparicio, Ana M; Carskadon, Shannon L; Tomlins, Scott A; Kunju, Lakshmi P; Chinnaiyan, Arul M; Broom, Bradley M; Logothetis, Christopher J; Troncoso, Patricia; Navone, Nora M.
Afiliación
  • Palanisamy N; Department of Urology, Vattikuti Urology Institute, Henry Ford Health System, Detroit, Michigan.
  • Yang J; Department of Pathology, Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan.
  • Shepherd PDA; Department of Genitourinary Medical Oncology and the David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Li-Ning-Tapia EM; Department of Genitourinary Medical Oncology and the David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Labanca E; Department of Genitourinary Medical Oncology and the David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Manyam GC; Department of Genitourinary Medical Oncology and the David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Ravoori MK; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Kundra V; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Araujo JC; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Efstathiou E; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Pisters LL; Department of Genitourinary Medical Oncology and the David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Wan X; Department of Genitourinary Medical Oncology and the David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Wang X; Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Vazquez ES; Department of Genitourinary Medical Oncology and the David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Aparicio AM; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Carskadon SL; CONICET-Universidad de Buenos Aires. Instituto de Quimica Biologica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Buenos Aires, Argentina.
  • Tomlins SA; Department of Genitourinary Medical Oncology and the David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Kunju LP; Department of Urology, Vattikuti Urology Institute, Henry Ford Health System, Detroit, Michigan.
  • Chinnaiyan AM; Department of Pathology, Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan.
  • Broom BM; Department of Pathology, Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan.
  • Logothetis CJ; Department of Pathology, Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan.
  • Troncoso P; Department of Pathology, Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan.
  • Navone NM; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Clin Cancer Res ; 26(18): 4933-4946, 2020 09 15.
Article en En | MEDLINE | ID: mdl-32576626
ABSTRACT

PURPOSE:

Advances in prostate cancer lag behind other tumor types partly due to the paucity of models reflecting key milestones in prostate cancer progression. Therefore, we develop clinically relevant prostate cancer models. EXPERIMENTAL

DESIGN:

Since 1996, we have generated clinically annotated patient-derived xenografts (PDXs; the MDA PCa PDX series) linked to specific phenotypes reflecting all aspects of clinical prostate cancer.

RESULTS:

We studied two cell line-derived xenografts and the first 80 PDXs derived from 47 human prostate cancer donors. Of these, 47 PDXs derived from 22 donors are working models and can be expanded either as cell lines (MDA PCa 2a and 2b) or PDXs. The histopathologic, genomic, and molecular characteristics (androgen receptor, ERG, and PTEN loss) maintain fidelity with the human tumor and correlate with published findings. PDX growth response to mouse castration and targeted therapy illustrate their clinical utility. Comparative genomic hybridization and sequencing show significant differences in oncogenic pathways in pairs of PDXs derived from different areas of the same tumor. We also identified a recurrent focal deletion in an area that includes the speckle-type POZ protein-like (SPOPL) gene in PDXs derived from seven human donors of 28 studied (25%). SPOPL is a SPOP paralog, and SPOP mutations define a molecular subclass of prostate cancer. SPOPL deletions are found in 7% of The Cancer Genome Atlas prostate cancers, which suggests that our cohort is a reliable platform for targeted drug development.

CONCLUSIONS:

The MDA PCa PDX series is a dynamic resource that captures the molecular landscape of prostate cancers progressing under novel treatments and enables optimization of prostate cancer-specific, marker-driven therapy.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Biomarcadores de Tumor / Medicina de Precisión / Antineoplásicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Clin Cancer Res Asunto de la revista: NEOPLASIAS Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Biomarcadores de Tumor / Medicina de Precisión / Antineoplásicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Clin Cancer Res Asunto de la revista: NEOPLASIAS Año: 2020 Tipo del documento: Article