Tissue Biomarkers in Predicting Response to Sunitinib Treatment of Metastatic Renal Cell Carcinoma
Jazyk angličtina Země Řecko Médium print
Typ dokumentu srovnávací studie, časopisecké články, práce podpořená grantem
PubMed
26408740
PII: 35/10/5661
Knihovny.cz E-zdroje
- Klíčová slova
- Metastatic renal carcinoma, biomarkers, immunohistochemistry, prediction, targeted-therapy,
- MeSH
- čipová analýza tkání metody MeSH
- dospělí MeSH
- imunoenzymatické techniky MeSH
- indoly terapeutické užití MeSH
- karcinom z renálních buněk farmakoterapie mortalita sekundární MeSH
- ledviny metabolismus patologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- lymfatické metastázy MeSH
- míra přežití MeSH
- nádorové biomarkery metabolismus MeSH
- nádory ledvin farmakoterapie mortalita patologie MeSH
- následné studie MeSH
- prognóza MeSH
- protinádorové látky terapeutické užití MeSH
- pyrroly terapeutické užití MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- staging nádorů MeSH
- studie případů a kontrol MeSH
- stupeň nádoru MeSH
- sunitinib MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- srovnávací studie MeSH
- Názvy látek
- indoly MeSH
- nádorové biomarkery MeSH
- protinádorové látky MeSH
- pyrroly MeSH
- sunitinib MeSH
AIM: To identify tissue biomarkers that are predictive of the therapeutic effect of sunitinib in treatment of metastatic clear cell renal cell carcinoma (mCRCC). MATERIALS AND METHODS: Our study included 39 patients with mCRCC treated with sunitinib. Patients were stratified into two groups based on their response to sunitinib treatment: non-responders (progression), and responders (stable disease, regression). The effect of treatment was measured by comparing imaging studies before the initiation treatment with those performed at between 3rd and 7th months of treatment, depending on the patient. Histological samples of tumor tissue and healthy renal parenchyma, acquired during surgery of the primary tumor, were examined with immunohistochemistry to detect tissue targets involved in the signaling pathways of tumor growth and neoangiogenesis. We selected mammalian target of rapamycine, p53, vascular endothelial growth factor, hypoxia-inducible factor 1 and 2 and carbonic anhydrase IX. We compared the average levels of biomarker expression in both, tumor tissue, as well as in healthy renal parenchyma. Results were evaluated using the Student's t-test. RESULTS: For responders, statistically significant differences in marker expression in tumor tissue versus healthy parenchyma were found for mTOR (4%/16.7%; p=0.01031), p53 (4%/12.7%; p=0.042019), VEGF (62.7%/45%; p=0.019836) and CAIX (45%/15.33%; p=0.001624). A further significant difference was found in the frequency of high expression (more than 60%) between tumor tissue and healthy parenchyma in VEGF (65%/35%; p=0.026487) and CAIX (42%/8%; p=0.003328). CAIX was expressed at high levels in the tumor tissue in both evaluated groups. CONCLUSION: A significantly higher expression of VEGF in CRCC in comparison to healthy parenchyma can predict a better response to sunitinib.