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Metadata

Name
Microarray profiling of mononuclear peripheral blood cells to identify novel candidate genes related to chemoradiation response in rectal cancer
Repository
Gemma
Identifier
gemma.experiment:8051
Description
Peripheral blood mononuclear cells have emerged recently as pathology markers of cancer and other diseases, making possible their use as therapy predictors. Furthermore, the importance of the immune response in radiosensivity of solid organs led us to hypothesized that microarray gene expression profiling of peripheral blood mononuclear cells could identify patients with response to chemoradiation in rectal cancer. 27 patients with locally advanced rectal cancer were recruited initially to perform the study. Peripheral blood samples were obtained before neaodjuvant treatment. RNA was extracted and purified to obtain cDNA and cRNA for hybridization of microarrays included in Human WG CodeLink bioarrays. Quantitative real time PCR was used to validate microarray experiment data. Results were correlated with pathological response, according to Mandard´s criteria and final UICC Stage (patients with tumor regression grade 1-2 and downstaging being defined as responders and patients with grade 3-5 and no downstaging as non-responders).
Last Updated (by provider): Feb 23 2013
Contributors: M Cuadros P Palma
Data or Study Types
gene expression
Keywords
functional genomics
Source Organization
University of British Columbia
Access Conditions
available
Access Hyperlink
www.chibi.ubc.ca/Gemma/expressionExperiment/showExpressionExperiment.html?id=8051

Distributions

  • Encoding Format: HTML ; URL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE44172
  • Encoding Format: TSV ; URL: http://www.chibi.ubc.ca/Gemma/expressionExperiment/showExpressionExperiment.html?id=8051
  • Encoding Format: TSV ; URL: http://www.chibi.ubc.ca/Gemma/expressionExperiment/showExpressionExperiment.html?id=8051
This project was funded in part by grant U24AI117966 from the NIH National Institute of Allergy and Infectious Diseases as part of the Big Data to Knowledge program. We thank all members of the bioCADDIE community for their valuable input on the overall project.