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Translating Proteomic Into Functional Data: An High Mobility Group A1 (HMGA1) Proteomic Signature Has Prognostic Value in Breast Cancer.
- Source :
-
Molecular & cellular proteomics : MCP [Mol Cell Proteomics] 2016 Jan; Vol. 15 (1), pp. 109-23. Date of Electronic Publication: 2015 Nov 02. - Publication Year :
- 2016
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Abstract
- Cancer is a very heterogeneous disease, and biological variability adds a further level of complexity, thus limiting the ability to identify new genes involved in cancer development. Oncogenes whose expression levels control cell aggressiveness are very useful for developing cellular models that permit differential expression screenings in isogenic contexts. HMGA1 protein has this unique property because it is a master regulator in breast cancer cells that control the transition from a nontumorigenic epithelial-like phenotype toward a highly aggressive mesenchymal-like one. The proteins extracted from HMGA1-silenced and control MDA-MB-231 cells were analyzed using label-free shotgun mass spectrometry. The differentially expressed proteins were cross-referenced with DNA microarray data obtained using the same cellular model and the overlapping genes were filtered for factors linked to poor prognosis in breast cancer gene expression meta-data sets, resulting in an HMGA1 protein signature composed of 21 members (HRS, HMGA1 reduced signature). This signature had a prognostic value (overall survival, relapse-free survival, and distant metastasis-free survival) in breast cancer. qRT-PCR, Western blot, and immunohistochemistry analyses validated the link of three members of this signature (KIFC1, LRRC59, and TRIP13) with HMGA1 expression levels both in vitro and in vivo and wound healing assays demonstrated that these three proteins are involved in modulating tumor cell motility. Combining proteomic and genomic data with the aid of bioinformatic tools, our results highlight the potential involvement in neoplastic transformation of a restricted list of factors with an as-yet-unexplored role in cancer. These factors are druggable targets that could be exploited for the development of new, targeted therapeutic approaches in triple-negative breast cancer.<br /> (© 2016 by The American Society for Biochemistry and Molecular Biology, Inc.)
- Subjects :
- ATPases Associated with Diverse Cellular Activities
Blotting, Western
Breast Neoplasms diagnosis
Breast Neoplasms genetics
Carrier Proteins genetics
Carrier Proteins metabolism
Cell Cycle Proteins
Cell Line, Tumor
Disease-Free Survival
Gene Expression Regulation, Neoplastic
HMGA1a Protein genetics
Humans
Immunohistochemistry
Kaplan-Meier Estimate
Kinesins genetics
Kinesins metabolism
Mass Spectrometry
Membrane Proteins genetics
Membrane Proteins metabolism
Multivariate Analysis
Prognosis
Proteome genetics
RNA Interference
Reverse Transcriptase Polymerase Chain Reaction
Translational Research, Biomedical methods
Breast Neoplasms metabolism
HMGA1a Protein metabolism
Proteome metabolism
Proteomics methods
Subjects
Details
- Language :
- English
- ISSN :
- 1535-9484
- Volume :
- 15
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Molecular & cellular proteomics : MCP
- Publication Type :
- Academic Journal
- Accession number :
- 26527623
- Full Text :
- https://doi.org/10.1074/mcp.M115.050401