Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Prediction of response to FOLFOX

ABSTRACT: The patients who underwent surgery for primary lesions were examined. All patients had metastatic or recurrent CRC and received modified FOLFOX6. Responders and nonresponders were determined based on the best observed response at the end of the first-line treatment, mFOLFOX6. Gene-expression profiles of primary CRC were determined using Human Genome GeneChip arrays U133.

ORGANISM(S): Homo sapiens

PROVIDER: GSE19860 | GEO | 2013/01/03

SECONDARY ACCESSION(S): PRJNA122139

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Prediction of response to FOLFOX

Project description:The patients who underwent surgery for primary lesions were examined. All patients had metastatic or recurrent CRC and received modified FOLFOX6. Responders and nonresponders were determined based on the best observed response at the end of the first-line treatment, mFOLFOX6. Gene-expression profiles of primary CRC were determined using Human Genome GeneChip arrays U133. Colorectal cancer patients who had undergone surgical resection of colorectal cancer were studied. To identify molecular signatures to predict response to mFOLFOX6 regimen, gene expression profiles were compared between Reponder and Non-responder. Some patients are overlapped with Bevacizumab therapy.

2013-01-03 | E-GEOD-19860 | biostudies-arrayexpress

Prediction of response to bevacizumab

2013-01-03 | GSE19862 | GEO

Prediction of response to bevacizumab

Project description:The patients who underwent surgery for primary lesions were examined. All patients had metastatic or recurrent CRC and received bevacizumab therapy as first line or second line treatment. Responders and nonresponders were determined based on RECIST and confirmed by CT or MRI. Gene-expression profiles of primary CRC were determined using Human Genome GeneChip arrays U133. Colorectal cancer patients who had undergone surgical resection of colorectal cancer were studied. To identify molecular signatures to predict response to bevacizumab, gene expression profiles were compared between Reponder and Non-responder.

2013-01-03 | E-GEOD-19862 | biostudies-arrayexpress

CRC samples for FOLFOX therapy prediction

2011-11-21 | GSE28702 | GEO

CRC samples for FOLFOX therapy prediction

Project description:The aim of this study is to identify responders to FOLFOX therapy by applying the Random Forests (RF) algorithm to gene expression data. Eighty-three unresectable colorectal cancer (CRC) patients including 42 responders and 41 non-responders were divided into training (54 patients) and test (29 patients) sets. Samples were divided (approximately 2:1 ratio) into training and test sets. As a result, 54 of 83 samples obtained in the first half of this period were selected for the training set, and the remaining 29 samples in the latter half were selected as the test set.

2011-11-21 | E-GEOD-28702 | biostudies-arrayexpress

Transcription profiling of CD34 positive mononuclear cells from drug naive, chronic myeloid leukemia (CML) patients to determine an expression signature predictive of a major cytogenic response in CML patients treated with Imatinib.

Project description:Newly diagnosed chronic phase chronic myeloid leukemia (CML) patients with a major cytogenetic response (MCyR) after 12 months of imatinib therapy have an excellent long-term outcome, while patients without MCyR have a high progression risk. Since patients with primary cytogenetic resistance may benefit from more intensive therapy up-front, we sought to identify biomarkers to predict MCyR. Keywords: Two group comparison to identify trasncriptomic signature that predicts response to therapy CD34+ cells were isolated from cryopreserved mononuclear cells of chronic phase CML patients with a complete cytogenetic response (CCyR) or >65% Ph-positive metaphases after 12 months of imatinib therapy (training set N=36). Gene expression profiles generated on amplified RNA using Affymetrix HG-U133 Plus 2.0 arrays were compared between responders and non-responders, using the criteria ANOVA p<0.1 and fold difference >I1.5I. A minimal response classifier derived from the comparison was used to predict response in a prospectively collected validation set using same criteria for responders/nonresponders (N=23).

2009-12-31 | E-GEOD-14671 | biostudies-arrayexpress

Exploring MicroRNA Patterns as Biomarkers of FOLFOX Chemotherapy-Induced Peripheral Neuropathy in Patients with Colorectal Cancer

Project description:This study aimed to identify potential miRNA-based biomarkers that can predict FOLFOX-CIPN symptoms. High throughput microRNA sequencing was performed on the RNA circulating in the plasma of eight patients with CRC who underwent FOLFOX chemotherapy. miRNA expression profiles were evaluated according to two groups: those who underwent ≤three cycles and those who underwent ≥six cycles of FOLFOX chemotherapy.

2024-03-06 | GSE260661 | GEO

Gene expression signature in advanced colorectal cancer patients select drugs and response for the use of leucovorin, fluorouracil, and irinotecan

Project description:In patients with advanced colorectal cancer, leucovorin, fluorouracil, and irinotecan (FOLFIRI) is considered as one of the reference first-line treatments. However, only about half of treated patients respond to this regimen, and there is no clinically useful marker that predicts response. A major clinical challenge is to identify the subset of patients who could benefit from this chemotherapy. We aimed to identify a gene expression profile in primary colon cancer tissue that could predict chemotherapy response. Patients and Methods:- Tumor colon samples from 21 patients with advanced colorectal cancer were analyzed for gene expression profiling using Human Genome GeneChip arrays U133. At the end of the first-line treatment, the best observed response, according to WHO criteria, was used to define the responders and nonresponders. Discriminatory genes were first selected by the significance analysis of microarrays algorithm and the area under the receiver operating characteristic curve. A predictor classifier was then constructed using support vector machines. Finally, leave-one-out cross validation was used to estimate the performance and the accuracy of the output class prediction rule. Results:- We determined a set of 14 predictor genes of response to FOLFIRI. Nine of nine responders (100% specificity) and 11 of 12 nonresponders (92% sensitivity) were classified correctly, for an overall accuracy of 95%. Conclusion:- After validation in an independent cohort of patients, our gene signature could be used as a decision tool to assist oncologists in selecting colorectal cancer patients who could benefit from FOLFIRI chemotherapy, both in the adjuvant and the first-line metastatic setting.

2014-10-06 | GSE62080 | GEO

Transcription profiling of human AML to identift molecular predictors of response in a study of tipifarnib treatment in relapsed and refractory AML

Project description:Gene signatures were derived to separate responders from nonresponders by tipifarnib treatment. Experiment Overall Design: 58 samples from 58 patients

2008-06-13 | E-GEOD-5122 | biostudies-arrayexpress

Expression profiling of rheumatoid arthritis patients treated with anti-TNF

Project description:Expression profiles of anti-TNF responders were compared to profiles of anti-TNF non-responders in order to identify an expression signature for anti-TNF response In total 42 patients were treated with anti-TNF. RNA was isoloated from white blood cells and anti-TNF responders (n=18) were compared to nonresponders (n=24) regarding expression profiles

2012-01-01 | E-GEOD-33377 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data