PXD031771

PXD031771 is an original dataset announced via ProteomeXchange.

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

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.

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]

submitter keyword: MicroRNA, Bioinformatics, miR655, miR526b, Systems Biology, Secretome, Biomarker,Breast Cancer, Estrogen Receptor-Positive (ER+), Luminal A, Tumor Microenvironment (TME)

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

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2023/05/PXD031771

PRIDE project URI

• PRIDE
  1. PXD031771
     1. Label: PRIDE project
     2. Name: Breast Cancer Cell Secretome Analysis to Decipher miRNA Tumor Biology and Discover Potential Biomarkers