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A validated tumorgraft model reveals activity of dovitinib against renal cell carcinoma.

ABSTRACT: Most anticancer drugs entering clinical trials fail to achieve approval from the U.S. Food and Drug Administration. Drug development is hampered by the lack of preclinical models with therapeutic predictive value. Herein, we report the development and validation of a tumorgraft model of renal cell carcinoma (RCC) and its application to the evaluation of an experimental drug. Tumor samples from 94 patients were implanted in the kidneys of mice without additives or disaggregation. Tumors from 35 of these patients formed tumorgrafts, and 16 stable lines were established. Samples from metastatic sites engrafted at higher frequency than those from primary tumors, and stable engraftment of primary tumors in mice correlated with decreased patient survival. Tumorgrafts retained the histology, gene expression, DNA copy number alterations, and more than 90% of the protein-coding gene mutations of the corresponding tumors. As determined by the induction of hypercalcemia in tumorgraft-bearing mice, tumorgrafts retained the ability to induce paraneoplastic syndromes. In studies simulating drug exposures in patients, RCC tumorgraft growth was inhibited by sunitinib and sirolimus (the active metabolite of temsirolimus in humans), but not by erlotinib, which was used as a control. Dovitinib, a drug in clinical development, showed greater activity than sunitinib and sirolimus. The routine incorporation of models recapitulating the molecular genetics and drug sensitivities of human tumors into preclinical programs has the potential to improve oncology drug development.

SUBMITTER: Sivanand S

PROVIDER: S-EPMC3570965 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature

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A validated tumorgraft model reveals activity of dovitinib against renal cell carcinoma.

Sivanand Sharanya S Peña-Llopis Samuel S Zhao Hong H Kucejova Blanka B Spence Patrick P Pavia-Jimenez Andrea A Yamasaki Toshinari T McBride David J DJ Gillen Jessica J Wolff Nicholas C NC Morlock Lorraine L Lotan Yair Y Raj Ganesh V GV Sagalowsky Arthur A Margulis Vitaly V Cadeddu Jeffrey A JA Ross Mark T MT Bentley David R DR Kabbani Wareef W Xie Xian-Jin XJ Kapur Payal P Williams Noelle S NS Brugarolas James J

Science translational medicine 20120601 137

Most anticancer drugs entering clinical trials fail to achieve approval from the U.S. Food and Drug Administration. Drug development is hampered by the lack of preclinical models with therapeutic predictive value. Herein, we report the development and validation of a tumorgraft model of renal cell carcinoma (RCC) and its application to the evaluation of an experimental drug. Tumor samples from 94 patients were implanted in the kidneys of mice without additives or disaggregation. Tumors from 35 o ...[more]

PMID: 22674553

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Project description:An unmet medical need exists for patients with metastatic renal cell carcinoma who have progressed on VEGF-targeted and mTOR-inhibitor therapies. Fibroblast growth factor (FGF) pathway activation has been proposed as a mechanism of escape from VEGF-targeted therapies. Dovitinib is an oral tyrosine-kinase inhibitor that inhibits VEGF and FGF receptors. We therefore compared dovitinib with sorafenib as third-line targeted therapies in patients with metastatic renal cell carcinoma.In this multicentre phase 3 study, patients with clear cell metastatic renal cell carcinoma who received one previous VEGF-targeted therapy and one previous mTOR inhibitor were randomly assigned through an interactive voice and web response system to receive open-label dovitinib (500 mg orally according to a 5-days-on and 2-days-off schedule) or sorafenib (400 mg orally twice daily) in a 1:1 ratio. Randomisation was stratified by risk group and region. The primary endpoint was progression-free survival (PFS) assessed by masked central review. Efficacy was assessed in all patients who were randomly assigned and safety was assessed in patients who received at least one dose of study drug. This study is registered with ClinicalTrials.gov, number NCT01223027.284 patients were randomly assigned to the dovitinib group and 286 to the sorafenib group. Median follow-up was 11·3 months (IQR 7·9-14·6). Median PFS was 3·7 months (95% CI 3·5-3·9) in the dovitinib group and 3·6 months (3·5-3·7) in the sorafenib group (hazard ratio 0·86, 95% CI 0·72-1·04; one-sided p=0·063). 280 patients in the dovitinib group and 284 in the sorafenib group received at least one dose of study drug. Common grade 3 or 4 adverse events included hypertriglyceridaemia (38 [14%]), fatigue (28 [10%]), hypertension (22 [8%]), and diarrhoea (20 [7%]) in the dovitinib group, and hypertension (47 [17%]), fatigue (24 [8%]), dyspnoea (21 [7%]), and palmar-plantar erythrodysaesthesia (18 [6%]) in the sorafenib group. The most common serious adverse event was dyspnoea (16 [6%] and 15 [5%] in the dovitinib and sorafenib groups, respectively).Dovitinib showed activity, but this was no better than that of sorafenib in patients with renal cell carcinoma who had progressed on previous VEGF-targeted therapies and mTOR inhibitors. This trial provides reference outcome data for future studies of targeted inhibitors in the third-line setting.Novartis Pharmaceuticals Corporation.

Project description:Renal cell carcinoma (RCC) is one of the leading causes of cancer-related death worldwide. Tumour metastasis and heterogeneity lead to poor survival outcomes and drug resistance in patients with metastatic RCC (mRCC). In this study, we aimed to assess intratumoural heterogeneity (ITH) in mRCC cells by performing a combined analysis of bulk data and single-cell RNA-sequencing data, and develop novel biomarkers for prognosis prediction on the basis of the potential molecular mechanisms underlying tumorigenesis. Eligible single-cell cohorts related to mRCC were acquired using the Gene Expression Omnibus (GEO) dataset to identify potential mRCC subpopulations. We then performed gene set variation analysis to understand the differential function in primary RCC and mRCC samples. Subsequently, we applied weighted correlation network analysis to identify coexpressing gene modules that were related to the external trait of metastasis. Protein-protein interactions were used to screen hub subpopulation-difference (sub-dif) markers (ACTG1, IL6, CASP3, ACTB and RAP1B) that might be involved in the regulation of RCC metastasis and progression. Cox regression analysis revealed that ACTG1 was a protective factor (HR < 1), whereas the other four genes (IL6, CASP3, ACTB and RAP1B) were risk factors (HR > 1). Kaplan-Meier survival analysis suggested the potential prognostic value of these sub-dif markers. The expression of sub-dif markers in mRCC was further evaluated in clinical samples by immunohistochemistry (IHC). Additionally, the genetic features of sub-dif marker expression patterns, such as genetic variation profiles, correlations with tumour-infiltrating lymphocytes (TILs), and targeted signalling pathway activities, were assessed in bulk RNA-seq datasets. In conclusion, we established novel subpopulation markers as key prognostic factors affecting EMT-related signalling pathway activation in mRCC, which could facilitate the implementation of a treatment for mRCC patients.

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A validated tumorgraft model reveals activity of dovitinib against renal cell carcinoma.

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A validated tumorgraft model reveals activity of dovitinib against renal cell carcinoma.

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