Biomarker Analysis in Metastatic Colorectal Cancer Treated With Cetuximab
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ABSTRACT:
DISEASE(S): Colorectal Cancer,Colorectal Neoplasms
PROVIDER: 2158250 | ecrin-mdr-crc |
REPOSITORIES: ECRIN MDR
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Project description:Mutational status of KRAS in CRC is used to aid patient stratification for Cetuximab treatment. However, only a subset (10-40%) of patients with wt KRAS respond. We analyzed 40 mCRC tumors for Cetuximab response using a functional ex vivo platform. In the subset of non-responsive tumors, mutational (KRAS/BRAF and PIK3CA) and expression (AREG/EREG) analysis of key genes, transcriptomic profiling and GSEA were carried out to elucidate the molecular mechanisms underlying the response. Our analysis revealed deregulation of multiple pathways, notably Notch and Erbb2 and combined blockade of these two nodes elicited significant antitumor response. These findings collectively indicate the dependence of Cetuximab insensitive mCRC tumors on Notch and Erbb2 for survival and progression. 8 Primary tumors tested in ex vivo platform for response to Cetuximab were subjected to expression analysis
2014-04-01 | E-GEOD-56386 | biostudies-arrayexpress
Project description:Mutational status of KRAS in CRC is used to aid patient stratification for Cetuximab treatment. However, only a subset (10-40%) of patients with wt KRAS respond. We analyzed 40 mCRC tumors for Cetuximab response using a functional ex vivo platform. In the subset of non-responsive tumors, mutational (KRAS/BRAF and PIK3CA) and expression (AREG/EREG) analysis of key genes, transcriptomic profiling and GSEA were carried out to elucidate the molecular mechanisms underlying the response. Our analysis revealed deregulation of multiple pathways, notably Notch and Erbb2 and combined blockade of these two nodes elicited significant antitumor response. These findings collectively indicate the dependence of Cetuximab insensitive mCRC tumors on Notch and Erbb2 for survival and progression.
2014-04-01 | GSE56386 | GEO
Project description:Abstract Background. Epidermal growth factor receptor (EGFR) is a targetable molecule in basal-like breast cancer, which comprises most “triple negative” breast cancer (TNBC), the only breast cancer subtype without established targeted therapy. Methods. In this randomized phase II trial, metastatic TNBC patients received the anti-EGFR antibody cetuximab (250mg/kg/week iv) with carboplatin (AUC2/wk iv) added on progression, or concomitant cetuximab + carboplatin. Molecular subtyping was done on archival specimens and those with accessible tumors provided fresh tissue, before and after 7-14 days of therapy, for microarray analyses to explore EGFR pathway inhibition. Results. Of 102 TNBC patients 74% were of the basal-like molecular subtype. Response rate to cetuximab was 6% (2/31), and was 16% (4/25) to cetuximab + carboplatin after progression. Upfront cetuximab + carboplatin produced responses in 17% (12/71); 31% responded or had prolonged disease stabilization. Time to progression was 2.1 months (95% CI 1.8-5.5) and overall survival 10.4 months (95% CI 7.7-13.1) for those treated with the combination regimen. Among 16 patients with evaluable serial biopsies, genomic patterns of the EGFR pathway showed activated status in 13 and inhibition by therapy in 5. Conclusions. While most TNBC were basal-like, a significant proportion were different subtypes. The aggressive nature of metastatic TNBC leads to limited survival. Despite a promising preclinical rationale and evidence of EGFR pathway activation in most, targeted treatment with cetuximab as a single agent had marginal activity and cetuximab added to carboplatin demonstrated modest activity. Serial biopsies as part of metastatic breast cancer studies are feasible, and this study confirmed that the EGFR pathway was inhibited by therapy in only a minority suggesting ligand-independent activation in most tumors. Tissue acquisition and drug selection based upon individualized pathway activation status should be an important part of future studies of TNBC. This series contains 36 microarrays that are from 18 patients with fresh frozen tissue available from the metastatic site. Pretreatment samples (Bx0) are available for two patients. Pretreatment and post single agent treatment (7-14 days after start of treatment with cetuximab; BxSingle) are available for three patients. Pretreatment and post combination treatment (7-14 days after start of treatment with cetuximab plus carboplatin; BxCombo) are available for eight patients. Two patients have a pretreatment sample, a sample after 7-14 days of treatment with single agent cetuximab, and a third sample 7-14 days on cetuximab plus carboplatin after switching to the combination arm upon progression on the single agent arm. Samples were hybridized with Stratagene common reference spiked with RNA from two breast cancer cell lines (ME16C and MCF-7) on Custom 1x44K Agilent microarrays. Arrays were scanned on an Axon 4000B scanner and analyzed with GenePix Pro software.
2012-07-13 | E-GEOD-23428 | biostudies-arrayexpress
Project description:Most head and neck cancer (HNC) patients are resistant to cetuximab, an antibody against the epithelial growth factor receptor. Such therapy resistance is known to be mediated, in part, by stromal cells surrounding the tumor cells; however, the mechanisms underlying such a resistance phenotype remain unclear. To identify the mechanisms underlying cetuximab resistance in an unbiased manner, RNA-sequencing (RNA-seq) of HNC patient-derived xenografts (PDXs) was performed. Comparing the gene expression of HNC-PDXs before and after treatment with cetuximab indicated that the TGF-beta signaling pathway was upregulated in the stromal cells of PDXs that progressed to cetuximab (CetuximabProg-PDX). However, in PDXs that were extremely sensitive to cetuximab, and when tumors shrunk following cetuximab treatment (CetuximabSen-PDX), the TGF-beta pathway was downregulated in the stromal compartment. Histopathological analysis of PDXs showed that in CetuximabProg-PDX, TGF-beta-activation was detected in cancer-associated fibroblasts (CAFs). These TGF-beta-activated CAFs were sufficient to limit cetuximab efficacy in vitro and in vivo. Moreover, blocking the TGF-beta pathway using the SMAD3 inhibitor, SIS3, enhanced cetuximab efficacy and prevented the progression of CetuximabProg-PDX. Altogether, our findings indicate, for the first time, that TGF-beta-activated CAFs play a role in limiting cetuximab efficacy in HNC.
2020-03-23 | GSE143279 | GEO
Project description:To obtain differentially expressed genes associated with cetuximab resistance mechanism, we analyzed RNA samples using whole genome microarray expression profiling as a discovery platform to identify genes. Two kinds of RNA samples were extracted from SAS, Sa3, and HSC-3 cells: control cells and cetuximab-resistant cells.
2018-12-01 | GSE114928 | GEO
Project description:Cetuximab (Erbitux) is an antibody drug against EGFR and commonly used in late stage HNSCC and metastatic colorectal cancer. The oncogenic mutation of certain genes are known to drive Cetuximab resistance such as K-RAS or b-RAF mutation. The aberrant activation of signaling pathways in the presence of Cetuximab treatment to overcome cellular stress contribute to acquired resistance to Cetuximab as well. To better understand the mechanisms and molecular patterns of Cetuximab resistant cells, the Cetuximab resistant cells are trained for examining the gene expression profile. The gene expression array is used for identify the molecular signature governing the Cetuximab resitance.
2017-03-02 | GSE63916 | GEO
Project description:Cetuximab is an epidermal growth factor receptor (EGFR)-blocking antibody approved for treatment of metastatic colorectal cancer. We examined differences in global gene expression between the syngeneic DiFi colorectal cancer cells, and a subline of DiFi cells with acquired resistance to cetuximab (DiFi5). We used Affymetrix HG-U133A array to compare the expression pattern of genes that are up-regulated or down-regulated between the parental DiFi colorectal cancer cells and the cetuximab-resistant DiFi5 cells. We generated a cetuximab-resistant DiFi subline, termed DiFi5, by chronic exposure of parental DiFi cells to serially increased doses of cetuximab (from 0.5 nM to 5 nM) for over 1 year. The resulting DiFi5 subline exhibits significant resistance to cetuximab-induced apoptosis. After we confirmed that the phenotype was stable over a period of time of more than 6 months, the RNA from DiFi and DiFi5 cells were extracted and hybridized to an Affymetrix HG-U133A array according to the manufacturerâs instructions. Following the hybridization, the array was scanned using a laser confocal scanner, and microarray image data were analyzed using DNA-Chip Analyzer (dChip), version 1.3, by the Sequencing and Microarray Facility at MD Anderson Cancer Center.
2016-07-17 | E-GEOD-71210 | biostudies-arrayexpress
Project description:Cetuximab is an epidermal growth factor receptor (EGFR)-blocking antibody approved for treatment of metastatic colorectal cancer. We examined differences in global gene expression between the syngeneic DiFi colorectal cancer cells, and a subline of DiFi cells with acquired resistance to cetuximab (DiFi5). We used Affymetrix HG-U133A array to compare the expression pattern of genes that are up-regulated or down-regulated between the parental DiFi colorectal cancer cells and the cetuximab-resistant DiFi5 cells.
2016-07-17 | GSE71210 | GEO
Project description:This ordinary differential equation model simulating the interactions between tumor and immune cells is detailed in the publication:
Ahmed M. Makhlouf, Lamiaa El-Shennawy, Hesham A. Elkaranshawy, "Mathematical Modelling for the Role of CD4+T Cells in Tumor-Immune Interactions", Comput Math Methods Med. 2020 Feb 19;2020:7187602.
doi: 10.1155/2020/7187602
Comment:
This no treatment model is described by equations 1-7 of the publication manuscript.
Abstract:
Mathematical modelling has been used to study tumor-immune cell interaction. Some models were proposed to examine the effect of circulating lymphocytes, natural killer cells, and CD8+T cells, but they neglected the role of CD4+T cells. Other models were constructed to study the role of CD4+T cells but did not consider the role of other immune cells. In this study, we propose a mathematical model, in the form of a system of nonlinear ordinary differential equations, that predicts the interaction between tumor cells and natural killer cells, CD4+T cells, CD8+T cells, and circulating lymphocytes with or without immunotherapy and/or chemotherapy. This system is stiff, and the Runge–Kutta method failed to solve it. Consequently, the “Adams predictor-corrector” method is used. The results reveal that the patient’s immune system can overcome small tumors; however, if the tumor is large, adoptive therapy with CD4+T cells can be an alternative to both CD8+T cell therapy and cytokines in some cases. Moreover, CD4+T cell therapy could replace chemotherapy depending upon tumor size. Even if a combination of chemotherapy and immunotherapy is necessary, using CD4+T cell therapy can better reduce the dose of the associated chemotherapy compared to using combined CD8+T cells and cytokine therapy. Stability analysis is performed for the studied patients. It has been found that all equilibrium points are unstable, and a condition for preventing tumor recurrence after treatment has been deduced. Finally, a bifurcation analysis is performed to study the effect of varying system parameters on the stability, and bifurcation points are specified. New equilibrium points are created or demolished at some bifurcation points, and stability is changed at some others. Hence, for systems turning to be stable, tumors can be eradicated without the possibility of recurrence. The proposed mathematical model provides a valuable tool for designing patients’ treatment intervention strategies.
2024-09-02 | BIOMD0000001042 | BioModels
Project description:Abstract Background. Epidermal growth factor receptor (EGFR) is a targetable molecule in basal-like breast cancer, which comprises most “triple negative” breast cancer (TNBC), the only breast cancer subtype without established targeted therapy. Methods. In this randomized phase II trial, metastatic TNBC patients received the anti-EGFR antibody cetuximab (250mg/kg/week iv) with carboplatin (AUC2/wk iv) added on progression, or concomitant cetuximab + carboplatin. Molecular subtyping was done on archival specimens and those with accessible tumors provided fresh tissue, before and after 7-14 days of therapy, for microarray analyses to explore EGFR pathway inhibition. Results. Of 102 TNBC patients 74% were of the basal-like molecular subtype. Response rate to cetuximab was 6% (2/31), and was 16% (4/25) to cetuximab + carboplatin after progression. Upfront cetuximab + carboplatin produced responses in 17% (12/71); 31% responded or had prolonged disease stabilization. Time to progression was 2.1 months (95% CI 1.8-5.5) and overall survival 10.4 months (95% CI 7.7-13.1) for those treated with the combination regimen. Among 16 patients with evaluable serial biopsies, genomic patterns of the EGFR pathway showed activated status in 13 and inhibition by therapy in 5. Conclusions. While most TNBC were basal-like, a significant proportion were different subtypes. The aggressive nature of metastatic TNBC leads to limited survival. Despite a promising preclinical rationale and evidence of EGFR pathway activation in most, targeted treatment with cetuximab as a single agent had marginal activity and cetuximab added to carboplatin demonstrated modest activity. Serial biopsies as part of metastatic breast cancer studies are feasible, and this study confirmed that the EGFR pathway was inhibited by therapy in only a minority suggesting ligand-independent activation in most tumors. Tissue acquisition and drug selection based upon individualized pathway activation status should be an important part of future studies of TNBC.
2012-07-14 | GSE23428 | GEO