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A Proof of Concept for Biomarker-Guided Targeted Therapy against Ovarian Cancer Based on Patient-Derived Tumor Xenografts.
Palmer, Adam C; Plana, Deborah; Gao, Hui; Korn, Joshua M; Yang, Guizhi; Green, John; Zhang, Xiamei; Velazquez, Roberto; McLaughlin, Margaret E; Ruddy, David A; Kowal, Colleen; Muszynski, Julie; Bullock, Caroline; Rivera, Stacy; Rakiec, Daniel P; Elliott, GiNell; Fordjour, Paul; Meyer, Ronald; Loo, Alice; Kurth, Esther; Engelman, Jeffrey A; Bitter, Hans; Sellers, William R; Williams, Juliet A; Sorger, Peter K.
Afiliação
  • Palmer AC; Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts.
  • Plana D; Department of Pharmacology, Computational Medicine Program, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Gao H; Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts.
  • Korn JM; Department of Systems Biology, Harvard Medical School, Boston, Massachusetts.
  • Yang G; Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School and MIT, Cambridge, Massachusetts.
  • Green J; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Zhang X; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Velazquez R; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • McLaughlin ME; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Ruddy DA; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Kowal C; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Muszynski J; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Bullock C; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Rivera S; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Rakiec DP; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Elliott G; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Fordjour P; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Meyer R; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Loo A; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Kurth E; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Engelman JA; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Bitter H; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Sellers WR; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Williams JA; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
  • Sorger PK; Oncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts.
Cancer Res ; 80(19): 4278-4287, 2020 10 01.
Article em En | MEDLINE | ID: mdl-32747364
Advanced ovarian cancers are a leading cause of cancer-related death in women and are currently treated with surgery and chemotherapy. This standard of care is often temporarily successful but exhibits a high rate of relapse, after which, treatment options are few. Here we investigate whether biomarker-guided use of multiple targeted therapies, including small molecules and antibody-drug conjugates, is a viable alternative. A panel of patient-derived ovarian cancer xenografts (PDX), similar in genetics and chemotherapy responsiveness to human tumors, was exposed to 21 monotherapies and combination therapies. Three monotherapies and one combination were found to be active in different subsets of PDX. Analysis of gene expression data identified biomarkers associated with responsiveness to each of the three targeted therapies, none of which directly inhibits an oncogenic driver. While no single treatment had as high a response rate as chemotherapy, nearly 90% of PDXs were eligible for and responded to at least one biomarker-guided treatment, including tumors resistant to standard chemotherapy. The distribution of biomarker positivity in The Cancer Genome Atlas data suggests the potential for a similar precision approach in human patients. SIGNIFICANCE: This study exploits a panel of patient-derived xenografts to demonstrate that most ovarian tumors can be matched to effective biomarker-guided treatments.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Protocolos de Quimioterapia Combinada Antineoplásica / Biomarcadores Tumorais / Ensaios Antitumorais Modelo de Xenoenxerto Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Cancer Res Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Protocolos de Quimioterapia Combinada Antineoplásica / Biomarcadores Tumorais / Ensaios Antitumorais Modelo de Xenoenxerto Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Cancer Res Ano de publicação: 2020 Tipo de documento: Article