PXD031771 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Breast Cancer Cell Secretome Analysis to Decipher miRNA Tumor Biology and Discover Potential Biomarkers |
Description | MicroRNA (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. |
HostingRepository | PRIDE |
AnnounceDate | 2023-11-14 |
AnnouncementXML | Submission_2023-11-14_08:46:33.942.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Riley Feser |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | 6530A Q-TOF LC/MS |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2022-02-21 02:42:33 | ID requested | |
1 | 2023-05-10 13:21:49 | announced | |
⏵ 2 | 2023-11-14 08:46:42 | announced | 2023-11-14: 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 affiliation | Department of Biology, Brandon University, 3rd Floor, John R. Brodie Science Centre, 270 18th Street, Brandon, MB, Canada, R7A 6A9 |
contact email | majumderm@brandonu.ca |
lab head | |
Riley Feser |
contact affiliation | Brandon University |
contact email | feserrj36@brandonu.ca |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD031771
- Label: PRIDE project
- Name: Breast Cancer Cell Secretome Analysis to Decipher miRNA Tumor Biology and Discover Potential Biomarkers