Summary of Study ST001755

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001125. The data can be accessed directly via it's Project DOI: 10.21228/M88X12 This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST001755
Study TitleA reductionist approach using primary and metastatic cell-derived extracellular vesicles reveals hub proteins associated with oral cancer prognosis
Study SummaryOral squamous cell carcinoma (OSCC) has high mortality rates that are largely associated with lymph node metastasis. However, the molecular mechanisms that drive OSCC metastasis are unknown. Extracellular vesicles (EVs) are membrane-bound particles that play a role in intercellular communication and impact cancer development and progression. Thus, profiling EVs would be of great significance to decipher the role of EV cargo in OSCC metastasis. For that purpose, we used a reductionist approach to map the proteomic, miRNA, metabolomic, and lipidomic profiles of extracellular vesicles (EVs) derived from human primary tumor (SCC-9) cells and matched lymph node metastases (LN1) cells. Distinct omics profiles were associated with the metastatic phenotype, including 670 proteins, 217 miRNAs, 26 metabolites, and 64 lipids differentially abundant between LN1- and SCC-9-derived EVs. A multi-omics integration identified 11 ‘hub proteins’ significantly decreased at the metastatic site compared to primary tumor-derived EVs. We confirmed the validity of these findings with analysis of data from multiple public databases, and found that low abundance of seven hub proteins in metastatic EVs is correlated with reduced survival and tumor aggressiveness in cancer patients. In summary, this multi-omics approach identified proteins transported by EVs that are associated with metastasis, and which may potentially serve as prognostic markers in OSCC.
Institute
National Center for Research in Energy and Materials
DepartmentBrazilian Biosciences National Laboratory - LNBio
LaboratoryMass Spectrometry Laboratory
Last NameBusso Lopes
First NameAriane
AddressR. Giuseppe Máximo Scolfaro, 10000
Emailariane.lopes@lnbio.cnpem.br
Phone+55 19 3512-1276
Submit Date2021-04-26
Num Groups2
Total Subjects10
Raw Data AvailableYes
Raw Data File Type(s)cdf
Analysis Type DetailGC-MS
Release Date2021-05-14
Release Version1
Ariane Busso Lopes Ariane Busso Lopes
https://dx.doi.org/10.21228/M88X12
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Factors:

Subject type: Cultured cells; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Factor
SA163992LN1_3-EV intensityMetastatic EV
SA163993LN1_4-EV intensityMetastatic EV
SA163994LN1_5-EV intensityMetastatic EV
SA163995LN1_2-EV intensityMetastatic EV
SA163996LN1_1-EV intensityMetastatic EV
SA163997SCC-9_2-EV intensityPrimary tumor EV
SA163998SCC-9_3-EV intensityPrimary tumor EV
SA163999SCC-9_4-EV intensityPrimary tumor EV
SA164000SCC-9_5-EV intensityPrimary tumor EV
SA164001SCC-9_1-EV intensityPrimary tumor EV
Showing results 1 to 10 of 10
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