| Literature DB >> 31938054 |
Renaud Grépin1, Mélanie Guyot2, Aurore Dumond1, Jérôme Durivault1, Damien Ambrosetti3, Jean-François Roussel4, Florence Dupré4, Hervé Quintens5, Gilles Pagès2.
Abstract
Metastatic clear cell renal cell carcinomas (mRCC) over-express the vascular endothelial growth factor (VEGF). Hence, the anti-VEGF antibody bevacizumab/Avastin (BVZ) combined with interferon alpha (IFN) was approved for the treatment of mRCC. However, approval was lost in July 2016 due to the absence of sustained efficacy. We previously showed that BVZ accelerates tumor growth in experimental models of mRCC in mice, results in part explained by down-regulation of the phospho tyrosine phosphatase receptor kappa (PTPRκ) in tumor cells. The epidermal growth factor receptor (EGFR) is a direct target of PTPRκ. Its down-regulation leads to constitutive activation of EGFR, an observation which prompted us to test the effect of the EGFR inhibitor erlotinib/Tarceva (ERLO) in addition to BVZ/IFN. The influence of the long non-coding RNA, EGFR-AS1, on ERLO efficacy was also addressed.Entities:
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Year: 2020 PMID: 31938054 PMCID: PMC6956821 DOI: 10.7150/thno.38346
Source DB: PubMed Journal: Theranostics ISSN: 1838-7640 Impact factor: 11.556
Analysis of pro-angiogenic/pro-lymphangiogenic/pro-inflammatory genes/proteins in tumors from mice treated with ERLO, BVZ/INF or BVZ/INF/ERLO.
The percentage expression of the different genes evaluated by qPCR and the amounts of cytokines detected by ELISA are shown. The indication “m” stands for mouse genes. If not indicated the genes are human ones. For the measured genes, the reference values (100) correspond to the content of a given gene in tumors of the placebo-treated mice. The amounts of cytokine in tumor extracts are given in picograms (pg) or nanograms (ng) per milligrams (mg) of total protein. The statistically significant differences are shown. * p < 0.05: ** p < 0.01:*** p < 0.001. A good prognostic marker is presented in black characters on a grey background; a poor prognostic marker is presented in white characters on a black background and markers with no significant modification are presented in black characters on a white background. The number of good or bad prognostic markers and the markers that are not influenced by a given treatment are shown. A score of +1 is given to a good prognostic marker whereas a score of -1 is given to a poor prognostic marker. The final score corresponds to the addition of good and poor prognostic markers. For 786-O cells, BVZ/INF and BVZ/INF/ERLO treatments gave positive scores (3 and 2 respectively) with the highest number of good prognostic indicators (8), whereas ERLO gave a negative score (-3) with the highest number of bad prognostic factors (-8). For A498 cells, BVZ/INF/ERLO treatment gave the worst score (-2) with the highest number of poor prognostic indicators (-7), whereas BVZ/INF and ERLO gave equivalent positive scores (1) with the highest number of good prognostic indicators for ERLO (7).
Sensitivity of the primary cells to the different treatments.
The IC50 for the different drugs ± SD is shown. 786-O cells are sensitive to sunitinib and erlotinib and serve as the reference. We considered the cells to be sensitive to a drug if the concentration giving 50% inhibition of cell proliferation (IC50) was lower than or equal to the IC50 in 786-O cells and was considered resistant if the IC50 was higher than for 786-O cells. CC, M and TF cells were derived from tumors of metastatic patients. When cells are sensitive to a given treatment, the value is presented on a white background but if cells are insensitive it is on a black background.