PXD020795

PXD020795 is an original dataset announced via ProteomeXchange.

Title	Five microRNAs in serum are able to differentiate breast cancer patients from healthy individuals
Description	Breast Cancer is the cancer with most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. We focused on studying the expression levels of 30 microRNAs in the serum of 96 breast cancer patients versus 92 control individuals. Bioinformatic studies provide a microRNA signature, designated as a predictor, based upon the expression levels of 5 microRNAs. Then, we tested the predictor in a group of 60 randomly chosen women. Lastly, a proteomic study unveiled the over-expression and down-regulation of proteins differently expressed in the serum of breast cancer patients versus that of control individuals. Twenty-six microRNAs differentiate cancer tissue from healthy tissue and 16 microRNAs differentiate the serum of cancer patients from that of the control group. The tissue expression of miR-99a-5p, mir-497-5p, miR-362, and miR-1274, and the serum levels of miR-141 correlated with patient survival. Moreover, the predictor consisting of mir-125b-5p, miR-29c-3p, mir-16-5p, miR-1260, and miR-451a was able to differentiate breast cancer patients from controls. The predictor was validated in 20 new cases of breast cancer patients and tested in 60 volunteer women, assigning 11 out of 60 women to the cancer group. An association of low levels of mir-16-5p with a high content of CD44 protein in serum was found. Circulating microRNAs in serum can represent biomarkers for cancer prediction. Their clinical relevance and use of the predictor here described might be of potential importance for breast cancer prediction.
HostingRepository	PRIDE
AnnounceDate	2020-09-18
AnnouncementXML	Submission_2020-09-18_03:34:05.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Cristina Mir
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	LTQ Orbitrap

Revision	Datetime	Status	ChangeLog Entry
0	2020-08-07 07:07:32	ID requested
⏵ 1	2020-09-18 03:34:05	announced

Dataset with its publication pending

submitter keyword: Breast cancer, microRNAs, quantitative proteomics

Matilde E. Lleonart
contact affiliation	Biomedical Research in Cancer Stem Cells Group. Pathology Department. Vall d'Hebron Research Institute (VHIR). Barcelona, Spain
contact email	matilde.lleonart@vhir.org
lab head
Cristina Mir
contact affiliation	Institut de Recerca Hospital Vall d'Hebron
contact email	cristina.mir@vhir.org
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD020795
     1. Label: PRIDE project
     2. Name: Five microRNAs in serum are able to differentiate breast cancer patients from healthy individuals