A Proof of Concept for Biomarker-Guided Targeted Therapy against Ovarian Cancer Based on Patient-Derived Tumor Xenografts.
Adam C PalmerDeborah PlanaHui GaoJoshua M KornGuizhi YangJohn GreenXiamei ZhangRoberto VelazquezMargaret E McLaughlinDavid A RuddyColleen KowalJulie MuszynskiCaroline BullockStacy RiveraDaniel P RakiecGiNell ElliottPaul FordjourRonald MeyerAlice LooEsther KurthJeffrey A EngelmanHans BitterWilliam R SellersJuliet A WilliamsPeter Karl SorgerPublished in: Cancer research (2020)
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.
Keyphrases
- gene expression
- endothelial cells
- locally advanced
- end stage renal disease
- newly diagnosed
- healthcare
- minimally invasive
- electronic health record
- ejection fraction
- palliative care
- squamous cell carcinoma
- chronic kidney disease
- big data
- transcription factor
- chemotherapy induced
- peritoneal dialysis
- peripheral blood
- climate change
- risk assessment
- papillary thyroid
- quality improvement
- combination therapy
- acute coronary syndrome
- coronary artery disease
- lymph node metastasis
- patient reported outcomes
- affordable care act
- health insurance
- skeletal muscle
- cervical cancer screening