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PXD007066

PXD007066 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomics Analysis of Human Breast Milk to Assess Breast Cancer Risk
DescriptionDetection of breast cancer (BC) in young women is challenging because mammography, the most common tool for detecting BC, is not effective on the dense breast tissue characteristic of young women. In addition to the limited means for detecting their BC, young women face a transient increased risk of pregnancy-associated BC. As a consequence, reproductively active women could benefit significantly from a tool that provides them with accurate risk assessment and early detection of BC. One potential method for detection of BC is biochemical monitoring of proteins and other molecules in bodily fluids such as serum, nipple aspirate, ductal lavage, tear, urine, saliva and breast milk. Of all these fluids, only breast milk provides access to a large volume of breast tissue, in the form of exfoliated epithelial cells, and to the local breast environment, in the form of molecules in the milk. Thus, analysis of breast milk is a non-invasive method with significant potential for assessing BC risk. Here we analyzed human breast milk by mass spectrometry (MS)-based proteomics to build a biomarker signature for early detection of BC. Ten milk samples from 8 women provided 5 paired-groups (cancer versus control) for analysis of differentially expressed proteins: 2 within woman comparisons (milk from a diseased breast versus a healthy breast of the same woman) and 3 across women comparisons (milk from a woman with cancer versus a woman without cancer). Despite a wide range in the time between milk donation and cancer diagnosis (cancer diagnosis occurred from 1 month before to 24 months after milk donation), the levels of some proteins differed significantly between cancer and control in several of the 5 comparison groups. These pilot data are supportive of the idea that molecular analysis of breast milk will identify proteins informative for early detection and accurate assessment of BC risk, and warrant further research.
HostingRepositoryPRIDE
AnnounceDate2024-10-22
AnnouncementXMLSubmission_2024-10-22_04:39:21.214.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterRoshanak Aslebagh
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListphosphorylated residue; monohydroxylated residue; acetylated residue; iodoacetamide derivatized residue
InstrumentQ-Tof Ultima
Dataset History
RevisionDatetimeStatusChangeLog Entry
02017-07-17 08:21:57ID requested
12017-12-18 01:36:23announced
22024-10-22 04:39:29announced2024-10-22: Updated project metadata.
Publication List
10.1002/elps.201700123;
Aslebagh R, Channaveerappa D, Arcaro KF, Darie CC, Proteomics analysis of human breast milk to assess breast cancer risk. Electrophoresis, 39(4):653-665(2018) [pubmed]
Keyword List
curator keyword: Biomedical
submitter keyword: Mass spectrometry,Breast cancer, Breast milk, Proteomics, Biomarkers
Contact List
Costel C. Darie
contact affiliationClarkson University
contact emailcdarie@clarkson.edu
lab head
Roshanak Aslebagh
contact affiliationClarkson University
contact emailaslebar@clarkson.edu
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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