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1.
Front Oncol ; 12: 852952, 2022.
Article in English | MEDLINE | ID: mdl-35480113

ABSTRACT

Melanoma is a highly prevalent cancer with an increasing incidence worldwide and high metastatic potential. Brain metastasis is a major complication of the disease, as more than 50% of metastatic melanoma patients eventually develop intracranial disease. MicroRNAs (miRNAs) have been found to play an important role in the tumorigenicity of different cancers and have potential as markers of disease outcome. Identification of relevant miRNAs has generally stemmed from miRNA profiling studies of cells or tissues, but these approaches may have missed miRNAs with relevant functions that are expressed in subfractions of cancer cells. We performed an unbiased in vivo screen to identify miRNAs with potential functions as metastasis suppressors using a lentiviral library of miRNA decoys. Notably, we found that a significant fraction of melanomas that metastasized to the brain carried a decoy for miR-124a, a miRNA that is highly expressed in the brain/neurons. Additional loss- and gain-of-function in vivo validation studies confirmed miR-124a as a suppressor of melanoma metastasis and particularly of brain metastasis. miR-124a overexpression did not inhibit tumor growth in vivo, underscoring that miR-124a specifically controls processes required for melanoma metastatic growth, such as seeding and growth post-extravasation. Finally, we provide proof of principle of this miRNA as a promising therapeutic agent by showing its ability to impair metastatic growth of melanoma cells seeded in distal organs. Our efforts shed light on miR-124a as an antimetastatic agent, which could be leveraged therapeutically to impair metastatic growth and improve patient survival.

2.
Clin Cancer Res ; 16(5): 1577-86, 2010 Mar 01.
Article in English | MEDLINE | ID: mdl-20179230

ABSTRACT

PURPOSE: To identify a melanoma microRNA (miRNA) expression signature that is predictive of outcome and then evaluate its potential to improve risk stratification when added to the standard-of-care staging criteria. EXPERIMENTAL DESIGN: Total RNA was extracted from 59 formalin-fixed paraffin-embedded melanoma metastases and hybridized to miRNA arrays containing 911 probes. We then correlated miRNA expression with post-recurrence survival and other clinicopathologic criteria. RESULTS: We identified a signature of 18 miRNAs whose overexpression was significantly correlated with longer survival, defined as more than 18 months post-recurrence survival. Subsequent cross-validation showed that a small subset of these miRNAs can predict post-recurrence survival in metastatic melanoma with an estimated accuracy of 80.2% (95% confidence interval, 79.8-80.6%). In contrast to standard-of-care staging criteria, a six-miRNA signature significantly stratified stage III patients into "better" and "worse" prognostic categories, and a multivariate Cox regression analysis revealed the signature to be an independent predictor of survival. Furthermore, we showed that most miRNAs from the signature also showed differential expression between patients with better and worse prognoses in the corresponding paired primary melanoma. CONCLUSIONS: MiRNA signatures have potential as clinically relevant biomarkers of prognosis in metastatic melanoma. Our data suggest that molecularly based models of risk assessment can improve the standard staging criteria and support the incorporation of miRNAs into such models.


Subject(s)
Melanoma/genetics , MicroRNAs/analysis , Neoplasm Recurrence, Local/genetics , Neoplasm Recurrence, Local/mortality , Skin Neoplasms/genetics , Biomarkers, Tumor/genetics , Female , Gene Expression Profiling , Humans , Kaplan-Meier Estimate , Male , Melanoma/mortality , Melanoma/pathology , MicroRNAs/genetics , Middle Aged , Neoplasm Recurrence, Local/pathology , Neoplasm Staging , Oligonucleotide Array Sequence Analysis , Reverse Transcriptase Polymerase Chain Reaction , Skin Neoplasms/mortality , Skin Neoplasms/pathology
3.
Exp Cell Res ; 315(8): 1490-504, 2009 May 01.
Article in English | MEDLINE | ID: mdl-19245809

ABSTRACT

Epithelial to mesenchymal transition (EMT) integrates changes to cell morphology and signaling pathways resulting from modifications to the cell's transcriptional response. Different combinations of stimuli ignite this process in the contexts of development or tumor progression. The human MUC1 gene encodes multiple alternatively spliced forms of a polymorphic oncoprotein that is aberrantly expressed in epithelial malignancies. MUC1 is endowed with various signaling modules and has the potential to mediate proliferative and morphological changes characteristic of the progression of epithelial tumors. The tyrosine-rich cytoplasmic domain and the heavily glycosylated extracellular domain both play a role in MUC1-mediated signal transduction. However, the attribution of function to specific domains of MUC1 is difficult due to the concomitant presence of multiple forms of the protein, which stem from alternative splicing and proteolytic cleavage. Here we show that DA3 mouse mammary tumor cells stably transfected with a truncated genomic fragment of human MUC1 undergo EMT. In their EMT, these cells demonstrate altered [i] morphology, [ii] signaling pathways and [iii] expression of epithelial and mesenchymal markers. Similarly to well characterized human breast cancer cell lines, cells transfected with truncated MUC1 show an ERK-dependent increased spreading on fibronectin, and a PI3K-dependent enhancement of their proliferative rate.


Subject(s)
Breast Neoplasms/physiopathology , Epithelial Cells/cytology , Extracellular Signal-Regulated MAP Kinases/physiology , Gene Deletion , Mesoderm/cytology , Mucin-1/pharmacology , Phosphatidylinositol 3-Kinases/physiology , Animals , Base Sequence , Cell Line , Cell Proliferation , Epithelial Cells/metabolism , Epithelial Cells/pathology , Female , Flow Cytometry , Gene Expression Profiling , Gene Knockdown Techniques , Humans , Immunoblotting , Mesoderm/metabolism , Mesoderm/pathology , Mice , Molecular Sequence Data , Mucin-1/genetics
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