Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Capecitabine and Gemcitabine in Patients With Metastatic Colorectal Cancer

ABSTRACT: This study is for patients with colorectal cancer that has spread and has increased in size after standard treatments. This study is being done to find out how long it takes their tumors to grow after treatment with the chemotherapy drugs capecitabine and gemcitabine. Capecitabine is a chemotherapy drug that has been approved by the FDA for the treatment of colorectal cancer. We are adding another drug (called gemcitabine), which is approved by the FDA for the treatment of cancer of the pancreas to see if the ability of capecitabine to shrink tumors can be improved by adding gemcitabine. The side effects of the combination will also be evaluated. Another purpose of this study is to measure the levels of certain substances that affect how the body reacts to the chemotherapy agents in cancer cells (in the tumor). In addition, the genes (which are the cell’s blueprint for these substances) will also be evaluated in the blood.

DISEASE(S): Colon Cancer,Colorectal Cancer,Colorectal Neoplasms

PROVIDER: 2016458 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Pemetrexed and gemcitabine as combination therapy for the treatment of Group3 medulloblastoma

Project description:We devised a high-throughput, cell-based assay to identify novel therapeutic compounds to treat Group3 medulloblastoma (G3 MB). Mouse G3 MBs, grown as neurospheres, were screened against a library of approximately 7,000 compounds including FDA-approved drugs. We identified two FDA-approved drugs, pemetrexed and gemcitabine that preferentially inhibited tumor proliferation in vitro compared to control neurospheres, and substantially inhibited tumor proliferation in vivo. When combined, the two drugs significantly increased survival P7 Trp53-/-, Cdkn2c-/- neurospheres and MYC mouse cells were compared treated and untreated with drugs pemetrexed+gemcitabine

2014-04-15 | E-GEOD-46406 | biostudies-arrayexpress

Pemetrexed and gemcitabine as combination therapy for the treatment of Group3 medulloblastoma

2014-04-15 | GSE46406 | GEO

Machine Learning Identifies Candidates for Drug Repurposing in Alzheimer's Disease

Project description:Clinical trials of novel therapeutics for Alzheimer's Disease (AD) have consumed a large amount of time and resources with largely negative results. Repurposing drugs already approved by the Food and Drug Administration (FDA) for another indication is a more rapid and less expensive option. In this study, we profile 80 FDA-approved and clinically tested drugs in neural cell cultures, with the goal of producing a ranked list of possible repurposing candidates.

2021-01-14 | GSE164788 | GEO

GNPS-FDA(Selleckchemicals)_NIHcollectionIandII

Project description:http://www.nihclinicalcollection.com/index.php http://www.selleckchem.com/screening/fda-approved-drug-library.html#chemicallib

2014-03-19 | MSV000078567 | GNPS

Identification of FDA-Approved Drugs that Induce Heart Regeneration in Mammals

Project description:Identification of FDA-Approved Drugs that Induce Heart Regeneration in Mammals

| PRJNA1004155 | ENA

Differential Molecular Effects of Imiglucerase and Velaglucerase Alfa in Gaucher Disease Mice [RNA-Seq]

Project description:Gaucher disease type 1 is an inborn error of metabolic disease with the defective activity of the lysosomal enzyme acid b-glucosidase (GCase). Enzyme replacement/reconstitution therapy (ERT), infusions with purified recombinant GCases, is efficacious in reversing hematologic, hepatic, splenic, and bony disease manifestations in Gaucher type 1 patients. However, the tissue specific molecular events in Gaucher disease and their response to therapy are not known yet. To explore the molecular events underlying GCase treatment, we evaluated the tissue-specific gene expression profiles and molecular responses in our Gaucher disease mouse model, which were treated with two FDA approved commercially available GCases, imiglucerase (imig) and velaglucerase alfa (vela). Using microarray and mRNA-Seq techniques, differentially expressed genes (DEGs) were identified in the spleen and liver by the direct comparison of imig- vs. vela- treated mice. Among them three gene expression networks were derived from these spleens: 1) cell division/proliferation, 2) hematopoietic system and 3) inflammatory/macrophage response. Our study showed the occurrence of differential molecular pathophysiologic processes in the mice treated with imig compared with vela even though these two biosimilars had the same histological and biochemical efficacy 9V/null mice (Gaucher mouse model) were injected weekly via tail vein with 60U/kg/wk of imig or vela for 8 wks. To understand the molecular events underlying GCase treatment, we evaluated the tissue-specific gene expression profiles and molecular responses in our Gaucher disease mouse model, which were treated with two FDA approved commercially available GCases, imiglucerase (imig) and velaglucerase alfa (vela).

2013-09-07 | E-GEOD-44640 | biostudies-arrayexpress

Efficacy of GV1001 with gemcitabine/capecitabine in previously untreated patients with advanced pancreatic ductal adenocarcinoma having high serum eotaxin levels (KG4/2015): an open-label, randomized, phase 3 trial.

Project description:The TeloVac study indicated that GV1001 did not to improve the survival of advanced pancreatic ductal adenocarcinoma (PDAC) patients. However, the cytokine examinations of the study suggested that high serum eotaxin levels may predict responses to GV1001. This phase III trial aimed to assess the efficacy of GV1001 with gemcitabine/capecitabine for eotaxin-high patients with untreated locally advanced and metastatic PDAC. In addition, we proposed potential blood markers to predict response to GV1001 treatment based on correlative studies.

2022-09-03 | GSE212575 | GEO

Rong2020 - Grover-clintox: A classification model to predict the likelihood of failure in clinical trials due to toxicity

Project description:This model has been trained using the GROVER transformer and the Molecule Net dataset ClinTox, the authors trained a classification model to predict the likelihood of failure in clinical trials due to toxicity. The dataset has been built using FDA approved drugs (non-toxic) and a set of drugs that have failed at advanced clinical trial stages. Model Type: Predicitive machine learning model. Model Relevance: Probability that a molecule is approved by the FDA and probability that a molecule shows toxicity in clinical trials. Model Encoded by: Amna Ali (Ersilia) Metadata Submitted in BioModels by: Zainab Ashimiyu-Abdusalam Implementation of this model code by Ersilia is available here: https://github.com/ersilia-os/eos6fza

2024-06-05 | MODEL2406050004 | BioModels

mRNA Expression profiles of MDA-231-Gem cells and MDA-231 cells

Project description:Gemcitabine was approved to be sufficient effects on most solid tumors, including breast cancer and others. There has been little study of how the evolution of chemoresistance in cancer affects other aspects of disease pathogenesis. The primary aim of this study was to explore the molecules involved in gemcitabine resistance and its underlying regulatory mechanisms in breast cancer.

2014-11-11 | GSE63138 | GEO

microRNA Expression profiles of MDA-231-Gem cells and MDA-231 cells

2014-11-11 | GSE63139 | GEO