Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Targeted drug decisions in metastatic renal cell carcinoma are exclusively made on the basis of clinical criteria. We investigated whether these biomarkers (HIF-1α, HIF-2α, CAIX, VEGF, VEGFR1, VEGFR2, VEGFR3, PDGFB, PDGFRA, PDGFRB, CD31, CD44, bcl-xL, KIT, p21, CXCR4, PTEN, (CSF)-1R, RET, and FLT-3) can predictive the different effects between sunitinib and sorafenib treatments and are available to guide targeted drug selection. We enrolled all patients who underwent nephrectomy with postoperative sunitinib- or sorafenib-treatment at our institution from 2007 to 2012. Immunohistochemical approach was applied to assess the potential differential effects of immunostainings between sunitinib- and sorafenib-treated groups. We found that patients with high HIF-2α, CD31 expression showed greater relative PFS and OS benefit and patients with high CAIX expression presented greater relative OS benefit from sunitinib than from sorafenib, patients with high VEGFR1 or PDGFRB expression levels exhibited worse relative PFS benefit from sunitinib than from sorafenib. Namely high HIF-2α, CD31, and CAIX expression levels along with low VEGFR1 and PDGFRB expression levels improved the benefit of sunitinib treatment compared with sorafenib treatment. These results can identify whether patients can benefit more from sunitinib or sorafenib for drug selection guidance, eventually with precision medicine.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4973254PMC
http://dx.doi.org/10.1038/srep30886DOI Listing

Publication Analysis

Top Keywords

sunitinib sorafenib
20
benefit sunitinib
16
drug selection
12
patients high
12
expression levels
12
metastatic renal
8
renal cell
8
targeted drug
8
high hif-2α
8
hif-2α cd31
8

Similar Publications

Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract, primarily driven by activating mutations in KIT (CD117) and platelet-derived growth factor receptor alpha (PDGFRA). The introduction of tyrosine kinase inhibitors (TKIs), especially imatinib, has significantly transformed GIST treatment. However, the emergence of both primary and secondary resistance to imatinib presents ongoing therapeutic challenges.

View Article and Find Full Text PDF

Background: The Rab family of small GTPases (RABs) regulates membrane trafficking and is implicated in tumor progression. Pancreatic cancer (PC), a highly aggressive malignancy, lacks effective therapeutic strategies. Using bioinformatics and experimental validation, we identified five RABs (RAB10, RAB11A, RAB39B, RAB28, and RAB11B) to construct a RAB prognostic model (RPM) for PC.

View Article and Find Full Text PDF

Vascular endothelial growth factor receptor tyrosine kinase inhibitors (VEGFR-TKIs) represent a class of targeted drugs that have changed the cancer therapy landscape. However, the anti-angiogenic effect of VEGFR-TKIs significantly increase the incidence of cardiovascular adverse events (AEs). In this study, we conducted a comprehensive analysis of VEGFR-TKI-related thromboembolic events (TEEs), using data from the FAERS database between the drug launch and the third quarter of 2023.

View Article and Find Full Text PDF

Background: Metastatic renal cell carcinoma (mRCC) is notably resistant to chemotherapy and radiotherapy. However, tyrosine kinase inhibitors (TKIs) and checkpoint immunotherapy have significantly improved outcomes. Still, about 20% of patients experience disease progression as their best response to TKIs, and 16-63% endure severe toxicities, reducing quality of life.

View Article and Find Full Text PDF

Background: The introduction of multi-targeted tyrosine kinase inhibitors (MTKIs) such as axitinib, lenvatinib, sorafenib, and sunitinib has greatly broadened the available treatment options for Renal Cell Carcinoma (RCC). The study aims to compare the nature of the adverse reactions associated with these four MTKIs to identify which medication poses the least risk for personalized patient management, thus enabling more accurate clinical drug oversight.

Methods: Employing a retrospective descriptive analysis methodology, this research concentrated on four commercially available MTKIs.

View Article and Find Full Text PDF