Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA275643 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Sunitinib treatment exacerbates intratumoral heterogeneity in metastatic renal cancer (CGH)
| PRJNA280991 | ENA
Project description:The aim of this study was to investigate the effect of VEGF targeted therapy (sunitinib) on intratumoral heterogeneity (ITH) in metastatic clear cell renal cancer (mRCC). 138 samples from patients with clear cell renal cell carcinoma, including biological replicates of nephrectomy samples. RNA extracted fresh frozen tissue samples.
2015-05-25 | E-GEOD-65615 | biostudies-arrayexpress
Project description:The aim of this study was to investigate the effect of VEGF targeted therapy (sunitinib) on intratumoral heterogeneity (ITH) in metastatic clear cell renal cancer (mRCC).
2015-05-25 | GSE65615 | GEO
Project description:The aim of this study was to investigate the effect of VEGF targeted therapy (sunitinib) on intratumoral heterogeneity (ITH) in metastatic clear cell renal cancer (mRCC). To explore ITH in detail, multiple tumor samples were taken from the primary renal tumors of mRCC patients who were sunitinib treated (n=23) or untreated (n=23). ITH of pathological grade, DNA (using array-based comparative genomic hybridisation), RNA (Illumina Beadarray) and protein (reverse phase protein array) were evaluated. Tumor grade heterogeneity was greater in treated compared to untreated tumors (P=0.002). Unsupervised and supervised analysis, for renal cancer driver, hypoxia and stromal gene signatures, was then performed. In untreated patient tumor samples, significant ITH occurred in chromosomal aberrations, RNA and protein expression, with clustering of DNA and RNA correlating for individual patients. In unsupervised analysis sunitinib therapy was not associated with increased ITH in DNA or RNA. However there was an increase in ITH for the driver mutation and hypoxia gene signatures (DNA and RNA) as well as increasing variability of protein expression with treatment (p<0.05). Despite this variability, significant chromosomal and RNA changes to targets of sunitinib, such as VHL, PBRM1 and CAIX, occurred in the treated samples. Together these findings suggest that sunitinib treatment has significant effects on the expression and ITH of key tumor and treatment specific genes. The results do not support the hypothesis that resistant clones are selected and predominate after initiation of targeted therapy; instead it appears that an initial clonal diversification occurs, supporting the hypothesis of polyclonal drug resistance. 128 samples from patients with clear cell renal cell carcinoma, including biological replicates of nephrectomy samples. Source of samples includes both biopsy and nephrectomy. DNA extracted from FFPE and fresh frozen tissue samples.
2015-05-25 | E-GEOD-67818 | biostudies-arrayexpress
Project description:The aim of this study was to investigate the effect of VEGF targeted therapy (sunitinib) on intratumoral heterogeneity (ITH) in metastatic clear cell renal cancer (mRCC). To explore ITH in detail, multiple tumor samples were taken from the primary renal tumors of mRCC patients who were sunitinib treated (n=23) or untreated (n=23). ITH of pathological grade, DNA (using array-based comparative genomic hybridisation), RNA (Illumina Beadarray) and protein (reverse phase protein array) were evaluated. Tumor grade heterogeneity was greater in treated compared to untreated tumors (P=0.002). Unsupervised and supervised analysis, for renal cancer driver, hypoxia and stromal gene signatures, was then performed. In untreated patient tumor samples, significant ITH occurred in chromosomal aberrations, RNA and protein expression, with clustering of DNA and RNA correlating for individual patients. In unsupervised analysis sunitinib therapy was not associated with increased ITH in DNA or RNA. However there was an increase in ITH for the driver mutation and hypoxia gene signatures (DNA and RNA) as well as increasing variability of protein expression with treatment (p<0.05). Despite this variability, significant chromosomal and RNA changes to targets of sunitinib, such as VHL, PBRM1 and CAIX, occurred in the treated samples. Together these findings suggest that sunitinib treatment has significant effects on the expression and ITH of key tumor and treatment specific genes. The results do not support the hypothesis that resistant clones are selected and predominate after initiation of targeted therapy; instead it appears that an initial clonal diversification occurs, supporting the hypothesis of polyclonal drug resistance.
2015-05-25 | GSE67818 | GEO
Project description:Gene Evaluation of DNA expression from snap-frozen renal cell cancer tissue from 5 patients with locally advanced non-metastatic tumors, submitted to nephrectomy after being treated with 2 cycles of neoadjuvant Sunitinib were compared to match controls comprising of 6 patients with no neoadjuvant intervension using microarray platform Affymetrix Human Genome U133 Plus 2.0 containing 54675 probes. Validation followed using qRT-PCR Exploratory, prospective evaluation of gene expression in renal cell tumor snap frozen tissue after neoadjuvant Sunitinib compared to a control group with no neoadjuvant treatment
2015-05-11 | E-GEOD-68629 | biostudies-arrayexpress
Project description:Dynamic epigenetic changes to VHL occurs with sunitinib in metastatic clear cell renal cancer
| PRJNA280722 | ENA
Project description:Mathematical modeling of regulatory T cell effects on renal cell carcinoma treatment
Lisette dePillis 1, , Trevor Caldwell 2, , Elizabeth Sarapata 2, and Heather Williams 2,
1.
Department of Mathematics, Harvey Mudd College, Claremont, CA 91711
2.
Harvey Mudd College, Claremont, CA 91711, United States, United States, United States
Abstract
We present a mathematical model to study the effects of the regulatory T cells (Treg) on Renal Cell Carcinoma (RCC) treatment with sunitinib. The drug sunitinib inhibits the natural self-regulation of the immune system, allowing the effector components of the immune system to function for longer periods of time. This mathematical model builds upon our non-linear ODE model by de Pillis et al. (2009) [13] to incorporate sunitinib treatment, regulatory T cell dynamics, and RCC-specific parameters. The model also elucidates the roles of certain RCC-specific parameters in determining key differences between in silico patients whose immune profiles allowed them to respond well to sunitinib treatment, and those whose profiles did not.
Simulations from our model are able to produce results that reflect clinical outcomes to sunitinib treatment such as: (1) sunitinib treatments following standard protocols led to improved tumor control (over no treatment) in about 40% of patients; (2) sunitinib treatments at double the standard dose led to a greater response rate in about 15% the patient population; (3) simulations of patient response indicated improved responses to sunitinib treatment when the patient's immune strength scaling and the immune system strength coefficients parameters were low, allowing for a slightly stronger natural immune response.
Keywords: Renal cell carcinoma, mathematical modeling., sunitinib, immune system, regulatory T cells.
2024-09-02 | BIOMD0000000908 | BioModels
Project description:A Cartes d'Identite des Tumeurs (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net); Selecting patients with metastatic clear-cell renal cell carcinoma (m-ccRCC) who might benefit from treatment with targeted tyrosine kinase inhibitors (TKIs) is a challenge. Our aim was to identify molecular markers associated with outcome in m-ccRCC patients treated with sunitinib.
2015-01-27 | E-MTAB-3269 | biostudies-arrayexpress