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PXD031771

PXD031771 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleBreast Cancer Cell Secretome Analysis to Decipher miRNA Tumor Biology and Discover Potential Biomarkers
DescriptionMicroRNA (miRNA/miR) miR526b and miR655 overexpressed tumor cell-free secretions promote breast cancer phenotypes in the tumor microenvironment (TME). However, the mechanisms of miRNA regulating TME have never been investigated. With mass spectrometry analysis of MCF7-miRNA-overexpressed versus miRNA-low MCF7-Mock tumor cell secretomes, we identified 34 novel secretory proteins coded by eight genes YWHAB, TXNDC12, MYL6B, SFN, FN1, PSMB6, PRDX4, and PEA15 those are differentially regulated. We used bioinformatic tools and systems biology approaches to identify these markers’ role in breast cancer. Gene ontology analysis showed that the top functions are related to apoptosis, oxidative stress, membrane transport, and motility, supporting miRNA-induced phenotypes. These secretory markers expression is high in breast tumors, and a strong positive correlation exists between upregulated markers’ mRNA expressions with miRNA cluster expression in luminal A breast tumors. Gene expression of secretome markers is higher in tumor tissues compared to normal samples, and immunohistochemistry data supported gene expression data. Moreover, both up and downregulated marker expressions are associated with breast cancer patient survival. miRNA regulates these marker protein expressions by targeting transcription factors of these genes. Premature miRNA (pri-miR526b and pri-miR655) are established breast cancer blood biomarkers. Here we report novel secretory markers upregulated by miR526b and miR655 (YWHAB, MYL6B, PSMB6, and PEA15) are significantly upregulated in breast cancer patients’ plasma, and are potential breast cancer biomarkers.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_08:46:33.942.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterRiley Feser
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
Instrument6530A Q-TOF LC/MS
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-02-21 02:42:33ID requested
12023-05-10 13:21:49announced
22023-11-14 08:46:42announced2023-11-14: Updated project metadata.
Publication List
Feser R, Opperman RM, Nault B, Maiti S, Chen VC, Majumder M, Breast cancer cell secretome analysis to decipher miRNA regulating the tumor microenvironment and discover potential biomarkers. Heliyon, 9(4):e15421(2023) [pubmed]
Keyword List
submitter keyword: MicroRNA, Bioinformatics, miR655, miR526b, Systems Biology, Secretome, Biomarker,Breast Cancer, Estrogen Receptor-Positive (ER+), Luminal A, Tumor Microenvironment (TME)
Contact List
Mousumi Majumder
contact affiliationDepartment of Biology, Brandon University, 3rd Floor, John R. Brodie Science Centre, 270 18th Street, Brandon, MB, Canada, R7A 6A9
contact emailmajumderm@brandonu.ca
lab head
Riley Feser
contact affiliationBrandon University
contact emailfeserrj36@brandonu.ca
dataset submitter
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Dataset FTP location
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