Uncovering Potential Breast Cancer Biomarkers Amp; Possible Drug Targets Using Advanced Quantitative Mass Spectrometry

This study is currently recruiting participants.
Verified April 2012 by National University Hospital, Singapore
Sponsor:
Information provided by (Responsible Party):
National University Hospital, Singapore
ClinicalTrials.gov Identifier:
NCT01619514
First received: April 2, 2012
Last updated: June 13, 2012
Last verified: April 2012

April 2, 2012
June 13, 2012
March 2012
March 2014   (final data collection date for primary outcome measure)
Evaluate the use of advanced quantitative mass spectometry (Super SILAC) as a discovery platform to uncover novel protein biomarkers in tumor
SILAC is a method of advanced quantitative mass spectometry that allows whole proteome analysis as comprehensively as transcriptome analysis. It allows quantification of whole-proteome, measure post-translational modifications and map complete interactome of a protein. Super-SILAC, an improvement of the SILAC method, enables the comparison of the amounts of hundreds or thousands of proteins from a particular tissue between different patients. This technology may enable the discovery of novel tumor protein markers that may be important in tumor progression and treatment response.
Same as current
Complete list of historical versions of study NCT01619514 on ClinicalTrials.gov Archive Site
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Uncovering Potential Breast Cancer Biomarkers Amp; Possible Drug Targets Using Advanced Quantitative Mass Spectrometry
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The purpose of this study is to evaluate the use of advanced quantitative mass spectometry (Super SILAC) as a discovery platform to uncover novel protein biomarkers in tumor and to compare the protein profile between different subtypes of breast cancer (ER positive, HER2 positive, triple negative). A maximum of 100 breast tumor specimens will be obtained from the NUHS Tissue repository, comprising approximately equal proportion of ER positive, HER2 positive, and triple negative tumors. Samples will be analyzed using advanced Mass Spectrometry (Super SILAC) as a discovery platform to identify novel protein biomarkers that may be important in cancer. DNA and RNA will also be extracted from tumor samples for correlative analysis with the proteomics data. Genomics and proteomics data will be correlated with clinical data including treatment response and survival data. Importance of proposed research to science or medicine:Identification of tumor biomarkers may allow better prognostication, follow-up, and selection of treatment for cancer patients in the future. Potential benefits and risks: No direct benefit to the patient. Risk to the subjects is minimal as there is no direct patient contact, and analysis is done on previously donated tumor samples. Patients have previously provided consent to donate their samples for research into the NUHS Tissue Repository.

Novel tumor biomarkers that determine tumor biology, including prognosis and treatment sensitivity, may be detectable using the novel advanced quantitative mass spectromy method (Super SILAC). Different subtypes of breast cancers will have different proteomic profiles analyzed using super SILAC.

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Observational
Observational Model: Cohort
Time Perspective: Retrospective
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Probability Sample

Tumor specimens that have been stored in the NUHS tissue repository will be retrieved

Breast Cancer
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*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Recruiting
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March 2014   (final data collection date for primary outcome measure)

Inclusion Criteria:

  • Patients with breast cancer
Female
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No
Contact: Soo Chin Lee, MBBS, MRCP +65 6779 5555 Soo_Chin_Lee@nuhs.edu.sg
Singapore
 
NCT01619514
2012/00106
Yes
National University Hospital, Singapore
National University Hospital, Singapore
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Not Provided
National University Hospital, Singapore
April 2012

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP