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

NCT ID: NCT01619514

Last Updated: 2013-12-11

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Study Classification

OBSERVATIONAL

Study Start Date

2012-03-31

Brief Summary

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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.

Detailed Description

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Conditions

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Breast Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients with breast cancer
Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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National University Hospital, Singapore

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Nationa University Hospital

Singapore, , Singapore

Site Status RECRUITING

Countries

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Singapore

Central Contacts

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Soo Chin Lee, MBBS, MRCP

Role: CONTACT

Phone: +65 6779 5555

Email: [email protected]

Facility Contacts

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Soo Chin Lee, MBBS, MRCP

Role: primary

References

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Geiger T, Cox J, Ostasiewicz P, Wisniewski JR, Mann M. Super-SILAC mix for quantitative proteomics of human tumor tissue. Nat Methods. 2010 May;7(5):383-5. doi: 10.1038/nmeth.1446. Epub 2010 Apr 4.

Reference Type BACKGROUND
PMID: 20364148 (View on PubMed)

Neubert TA, Tempst P. Super-SILAC for tumors and tissues. Nat Methods. 2010 May;7(5):361-2. doi: 10.1038/nmeth0510-361. No abstract available.

Reference Type BACKGROUND
PMID: 20431548 (View on PubMed)

Other Identifiers

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2012/00106

Identifier Type: -

Identifier Source: org_study_id