Alternative splicing discriminates molecular subtypes and has prognostic impact in diffuse large B-cell lymphoma.

Effect of alternative splicing (AS) on diffuse large B-cell lymphoma (DLBCL) pathogenesis and survival has not been systematically addressed. Here, we compared differentially expressed genes and exons in association with survival after chemoimmunotherapy, and between germinal center B-cell like (GCB) and activated B-cell like (ABC) DLBCLs. Genome-wide exon array-based screen was performed from samples of 38 clinically high-risk patients who were treated in a Nordic phase II study with dose-dense chemoimmunotherapy and central nervous system prophylaxis. The exon expression profile separated the patients according to molecular subgroups and survival better than the gene expression profile. Pathway analyses revealed enrichment of AS genes in inflammation and adhesion-related processes, and in signal transduction, such as phosphatidylinositol signaling system and adenosine triphosphate binding cassette transporters. Altogether, 49% of AS-related exons were protein coding, and domain prediction showed 28% of such exons to include a functional domain, such as transmembrane helix domain or phosphorylation sites. Validation in an independent cohort of 92 DLBCL samples subjected to RNA-sequencing confirmed differential exon usage of selected genes and association of AS with molecular subtypes and survival. The results indicate that AS events are able to discriminate GCB and ABC DLBCLs and have prognostic impact in DLBCL.

Excess of miRNA-378a-5p perturbs mitotic fidelity and correlates with breast cancer tumourigenesis in vivo.

BACKGROUND: Optimal expression and proper function of key mitotic proteins facilitate control and repair processes that aim to prevent loss or gain of chromosomes, a hallmark of cancer. Altered expression of small regulatory microRNAs is associated with tumourigenesis and metastasis but the impact on mitotic signalling has remained unclear. METHODS: Cell-based high-throughput screen identified miR-378a-5p as a mitosis perturbing microRNA. Transient transfections, immunofluorescence, western blotting, time-lapse microscopy, FISH and reporter assays were used to characterise the mitotic anomalies by excess miR-378a-5p. Analysis of microRNA profiles in breast tumours was performed. RESULTS: Overexpression of miR-378a-5p induced numerical chromosome changes in cells and abrogated taxol-induced mitotic block via premature inactivation of the spindle assembly checkpoint. Moreover, excess miR-378a-5p triggered receptor tyrosine kinase-MAP kinase pathway signalling, and was associated with suppression of Aurora B kinase. In breast cancer in vivo, we found that high miR-378a-5p levels correlate with the most aggressive, poorly differentiated forms of cancer. INTERPRETATION: Downregulation of Aurora B by excess miR-378a-5p can explain the observed microtubule drug resistance and increased chromosomal imbalance in the microRNA-overexpressing cells. The results suggest that breast tumours may deploy high miR-378a-5p levels to gain growth advantage and antagonise taxane therapy.

Identifying microRNAs regulating B7-H3 in breast cancer: the clinical impact of microRNA-29c.

BACKGROUND: B7-H3, an immunoregulatory protein, is overexpressed in several cancers and is often associated with metastasis and poor prognosis. Here, our aim was to identify microRNAs (miRNAs) regulating B7-H3 and assess their potential prognostic implications in breast cancer. METHODS: MicroRNAs targeting B7-H3 were identified by transfecting two breast cancer cell lines with a library of 810 miRNA mimics and quantifying changes of B7-H3 protein levels using protein lysate microarrays. For validations we used western immunoblotting and 3'-UTR luciferase assays. Clinical significance of the miRNAs was assayed by analysing whether their expression levels correlated with outcome in two cohorts of breast cancer patients (142 and 81 patients). RESULTS: We identified nearly 50 miRNAs that downregulated B7-H3 protein levels. Western immunoblotting validated the impact of the 20 most effective miRNAs. Thirteen miRNAs (miR-214, miR-363*, miR-326, miR-940, miR-29c, miR-665, miR-34b*, miR-708, miR-601, miR-124a, miR-380-5p, miR-885-3p, and miR-593) targeted B7-H3 directly by binding to its 3'-UTR region. Finally, high expression of miR-29c was associated with a significant reduced risk of dying from breast cancer in both cohorts. CONCLUSIONS: We identified miRNAs efficiently downregulating B7-H3 expression. The expression of miR-29c correlated with survival in breast cancer patients, suggesting a tumour suppressive role for this miRNA.

Protein lysate microarray analysis to identify microRNAs regulating estrogen receptor signaling in breast cancer cell lines.

Predicting the impact of microRNAs (miRNAs) on target proteins is challenging because of their different regulatory effects at the transcriptional and translational levels. In this study, we applied a novel protein lysate microarray (LMA) technology to systematically monitor for target protein levels after high-throughput transfections of 319 pre-miRs into breast cancer cells. We identified 21 miRNAs that downregulated the estrogen receptor-alpha (ERalpha), as validated by western blotting and quantitative real time-PCR, and by demonstrating the inhibition of estrogen-stimulated cell growth. Five potent ERalpha-regulating miRNAs, miR-18a, miR-18b, miR-193b, miR-206 and miR-302c, were confirmed to directly target ERalpha in 3'-untranslated region reporter assays. The gene expression signature that they repressed highly overlapped with that of a small interfering RNA against ERalpha, and across all the signatures tested, was most closely associated with the repression of known estrogen-induced genes. Furthermore, miR-18a and miR-18b showed higher levels of expression in ERalpha-negative as compared with ERalpha-positive clinical tumors. In summary, we present systematic and direct functional evidence of miRNAs inhibiting ERalpha signaling in breast cancer, and demonstrate the high-throughput LMA technology as a novel, powerful technique in determining the relative impact of various miRNAs on key target proteins and associated cellular processes and pathways.

Activation of Smad signaling enhances collagenase-3 (MMP-13) expression and invasion of head and neck squamous carcinoma cells.

Squamous cell carcinoma (SCC) cells of the head and neck specifically express collagenase-3 (matrix metalloproteinase-13 (MMP-13)), the expression of which correlates with their invasion capacity. Transforming growth factor-beta (TGF-beta) enhances MMP-13 and collagenase-1 (MMP-1) expression and invasion of SCC cells via p38 mitogen-activated protein kinase. Here, we have examined the role of Smad signaling in regulating MMP-13 expression and in invasion of head and neck SCC cells. Treatment with TGF-beta resulted in activation of Smad2 and Smad3 in SCC cells, but had no effect on their proliferation or viability. Basal activation of Smad3 and p38 was noted in SCC cells without exogenous TGF-beta stimulation, and adenoviral delivery of Smad7 and dominant-negative Smad3 inhibited p38 activation in these cells. Adenoviral overexpression of Smad3 augmented the upregulatory effect of TGF-beta on MMP-13 expression by SCC cells. Disruption of Smad signaling by adenoviral expression of kinase-defective TGF-beta type I receptor (activin-receptor-like kinase-5), Smad7, and dominant-negative Smad3 potently suppressed the basal and TGF-beta-induced expression of MMP-13 and MMP-1 in SCC cells, and inhibited their basal and TGF-beta-induced invasion through Matrigel and type I collagen. Adenoviral overexpression of Smad7 in cutaneous and oral SCC cells significantly inhibited their implantation in skin of SCID mice and growth of xenografts in vivo, as compared to LacZ adenovirus-transduced control cells. Together, these results show that Smad signaling plays an important role in promoting the invasive phenotype of human head and neck SCC cells by upregulating their collagenase expression.