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dc.contributor.author
Palanisamy, Nallasivam
dc.contributor.author
Yang, Jun
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Shepherd, Peter D.A.
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Li Ning Tapia, Elsa M.
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Labanca, Estefania
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Manyam, Ganiraju C.
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Ravoori, Murali K.
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Kundra, Vikas
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Araujo, John C.
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Efstathiou, Eleni
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Pisters, Louis L.
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Wan, Xinhai
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Wang, Xuemei
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Vazquez, Elba Susana
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Aparicio, Ana M.
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Carskadon, Shannon L.
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Tomlins, Scott A.
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Kunju, Lakshmi P.
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Chinnaiyan, Arul M.
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Broom, Bradley M.
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Logothetis, Christopher J.
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Troncoso, Silvana Patricia
dc.contributor.author
Navone, Nora
dc.date.available
2022-12-28T14:44:59Z
dc.date.issued
2020-09
dc.identifier.citation
Palanisamy, Nallasivam; Yang, Jun; Shepherd, Peter D.A.; Li Ning Tapia, Elsa M.; Labanca, Estefania; et al.; 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; American Association for Cancer Research; Clinical Cancer Research; 26; 18; 9-2020; 4933-4946
dc.identifier.issn
1078-0432
dc.identifier.uri
http://hdl.handle.net/11336/182715
dc.description.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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Association for Cancer Research
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CANCER
dc.subject
PDX
dc.subject
PROSTATE
dc.subject
LANDSCAPE
dc.subject.classification
Bioquímica y Biología Molecular
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Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
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
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-12-27T11:03:56Z
dc.identifier.eissn
1557-3265
dc.journal.volume
26
dc.journal.number
18
dc.journal.pagination
4933-4946
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Philadelphia
dc.description.fil
Fil: Palanisamy, Nallasivam. Henry Ford Health System; Estados Unidos. Michigan State University; Estados Unidos
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Fil: Yang, Jun. University of Texas; Estados Unidos
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Fil: Shepherd, Peter D.A.. University of Texas; Estados Unidos
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Fil: Li Ning Tapia, Elsa M.. University of Texas; Estados Unidos
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Fil: Labanca, Estefania. University of Texas; Estados Unidos
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Fil: Manyam, Ganiraju C.. University of Texas; Estados Unidos
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Fil: Ravoori, Murali K.. University of Texas; Estados Unidos
dc.description.fil
Fil: Kundra, Vikas. University of Texas; Estados Unidos
dc.description.fil
Fil: Araujo, John C.. University of Texas; Estados Unidos
dc.description.fil
Fil: Efstathiou, Eleni. University of Texas; Estados Unidos
dc.description.fil
Fil: Pisters, Louis L.. University of Texas; Estados Unidos
dc.description.fil
Fil: Wan, Xinhai. University of Texas; Estados Unidos
dc.description.fil
Fil: Wang, Xuemei. University of Texas; Estados Unidos
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Fil: Vazquez, Elba Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales; Argentina
dc.description.fil
Fil: Aparicio, Ana M.. University of Texas; Estados Unidos
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Fil: Carskadon, Shannon L.. Henry Ford Health System; Estados Unidos. Michigan State University; Estados Unidos
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Fil: Tomlins, Scott A.. Michigan State University; Estados Unidos
dc.description.fil
Fil: Kunju, Lakshmi P.. Michigan State University; Estados Unidos
dc.description.fil
Fil: Chinnaiyan, Arul M.. Michigan State University; Estados Unidos
dc.description.fil
Fil: Broom, Bradley M.. University of Texas; Estados Unidos
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Fil: Logothetis, Christopher J.. University of Texas; Estados Unidos
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Fil: Troncoso, Silvana Patricia. University of Texas; Estados Unidos
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Fil: Navone, Nora. University of Texas; Estados Unidos
dc.journal.title
Clinical Cancer Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1158/1078-0432.CCR-20-0479
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://aacrjournals.org/clincancerres/article/26/18/4933/9608/The-MD-Anderson-Prostate-Cancer-Patient-derived
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