Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA280991 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Sunitinib treatment exacerbates intratumoral heterogeneity in metastatic renal cancer
| PRJNA275643 | 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: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
Project description:Transcriptome analysis was used to identify gene expression changes during development of sunitinib resistance in a renal cell carcinoma patient-derived xenograft (PDX) model. During the response phase, tumors exhibited a 91% reduction in volume, characterized by induction of TNFRSF1A, TNFAIP3, NFKB2, CCL2, CCL20, BIRC3, and MOAP1. Ingenuity Pathway Analysis indicated decreased expression of cell survival genes during tumor response to sunitinib. In this model, after 4 weeks of treatment, tumors developed resistance despite continued administration of the tyrosine kinase inhibitor (TKI) sunitinib (40 mg/kg/d p.o.). Resistance was associated with increased expression of VEGFA, EPO, IL-8, ANGPT2, TNFRSF12, MAPK3/7, MAPKBP1, and increased cell survival genes, suggesting activation of angiogenesis and MAPK/ERK pathways. Tumor lysate mRNA evaluated for murine gene expression to examine the contribution of host effects, indicated that tumor response was associated with downregulation of immune cell trafficking, cellular movement, and inflammatory response genes. During tumor escape, genes associated with cellular movement, inflammatory response, and immune cell trafficking were strongly induced, along with intratumoral accumulation of myeloid derived suppressor cells (MDSC), indicating a role for host factors during emergence of sunitinib resistance. The same PDX model was used to assess anti-tumor efficacy of sunitinib combined with MEK inhibitor (MEKi) PD-0325901 (4 mg/kg/d p.o.) using different schedules. The most effective treatment regimen was either continuous treatment with both drugs or switching from sunitinib to PD-0325901 monotherapy at d30, which reduced tumor volume by 78.6% (p=0.0241) and 88.5% (p=0.0068), respectively. The combination of MEKi with TKI (sunitinib, axitinib, or pazopanib) suppressed levels of phospho-MEK1/2 and phospho-ERK1/2, and decreased intratumoral MDSC. Thus, continuous treatment with sunitinib alone did not maintain tumor response, and addition of a MEKi abrogated resistance leading to prolonged survival. Study was comprised of three experimental groups (pre-treatment, response, escape). All tumors came from the same PDX model. There were four biological replicates in each group. Four mice were used, with each of the 3 groups per mouse. There were no control or reference samples.
2015-12-17 | E-GEOD-76068 | biostudies-arrayexpress
Project description: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. A Cartes d’Identite des Tumeurs (CIT) study from the 'Institut Curie' and the french 'Ligue Nationale Contre le Cancer' (http://cit.ligue-cancer.net).
2015-01-27 | E-MTAB-3267 | biostudies-arrayexpress