4.7 Article

The Effect of VEGF-Targeted Therapy on Biomarker Expression in Sequential Tissue from Patients with Metastatic Clear Cell Renal Cancer

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CLINICAL CANCER RESEARCH
卷 19, 期 24, 页码 6924-6934

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AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-13-1631

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  1. MRC [G0902275] Funding Source: UKRI
  2. Chief Scientist Office [ETM/37] Funding Source: researchfish
  3. Medical Research Council [G0902275] Funding Source: researchfish
  4. Medical Research Council [G0902275] Funding Source: Medline
  5. Breast Cancer Now [BREAST CANCER NOW RESEARCH CENTRE] Funding Source: Medline

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Purpose: To investigate how biologically relevant markers change in response to antiangiogenic therapy in metastatic clear cell renal cancer (mRCC) and correlate these changes with outcome. Experimental Design: The study used sequential tumor tissue and functional imaging (taken at baseline and 12-16 weeks) obtained from three similar phase II studies. All three studies investigated the role of VEGF tyrosine kinase inhibitors (TKI) before planned nephrectomy in untreated mRCC (n = 85). The effect of targeted therapy on ten biomarkers was measured from sequential tissue. Comparative genomic hybridization (CGH) array and DNA methylation profiling (MethylCap-seq) was performed in matched frozen pairs. Biomarker expression was correlated with early progression (progression as best response) and delayed progression (between 12-16 weeks). Results: VEGF TKI treatment caused a significant reduction in vessel density (CD31), phospho-S6K expression, PDL-1 expression, and FOXP3 expression (P < 0.05 for each). It also caused a significant increase in cytoplasmic FGF-2, MET receptor expression in vessels, Fuhrman tumor grade, and Ki-67 (P < 0.05 for each). Higher levels of Ki-67 and CD31 were associated with delayed progression (P < 0.05). Multiple samples (n = 5) from the same tumor showed marked heterogeneity of tumor grade, which increased significantly with treatment. Array CGH showed extensive intrapatient variability, which did not occur in DNA methylation analysis. Conclusion: TKI treatment is associated with dynamic changes in relevant biomarkers, despite significant heterogeneity in chromosomal and protein, but not epigenetic expression. Changes to Ki-67 expression and tumor grade indicate that treatment is associated with an increase in the aggressive phenotype of the tumor. (C)2013 AACR.

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