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Patient derived renal cell carcinoma xenografts exhibit distinct sensitivity patterns in response to antiangiogenic therapy and constitute a suitable tool for biomarker development
- Source :
- Oncotarget
- Publication Year :
- 2018
- Publisher :
- Impact Journals, LLC, 2018.
-
Abstract
- Systemic treatment is necessary for one third of patients with renal cell carcinoma. No valid biomarker is currently available to tailor personalized therapy. In this study we established a representative panel of patient derived xenograft (PDX) mouse models from patients with renal cell carcinomas and determined serum levels of high mobility group B1 (HMGB1) protein under treatment with sunitinib, pazopanib, sorafenib, axitinib, temsirolimus and bevacizumab. Serum HMGB1 levels were significantly higher in a subset of the PDX collection, which exhibited slower tumor growth during subsequent passages than tumors with low HMGB1 serum levels. Pre-treatment PDX serum HMGB1 levels also correlated with response to systemic treatment: PDX models with high HMGB1 levels predicted response to bevacizumab. Taken together, we provide for the first time evidence that the damage associated molecular pattern biomarker HMGB1 can predict response to systemic treatment with bevacizumab. Our data support the future evaluation of HMGB1 as a predictive biomarker for bevacizumab sensitivity in patients with renal cell carcinoma.
- Subjects :
- 0301 basic medicine
Sorafenib
Oncology
renal cell carcinoma
medicine.medical_specialty
Bevacizumab
chemical and pharmacologic phenomena
bevacizumab
Pazopanib
03 medical and health sciences
0302 clinical medicine
Renal cell carcinoma
Internal medicine
medicine
ddc:610
HMGB1
business.industry
Sunitinib
medicine.disease
VEGF
Temsirolimus
Axitinib
damage associated molecular pattern
030104 developmental biology
030220 oncology & carcinogenesis
Biomarker (medicine)
business
Research Paper
medicine.drug
Subjects
Details
- ISSN :
- 19492553
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Oncotarget
- Accession number :
- edsair.doi.dedup.....a13ffd293518c91083b2fefe1f247cdd