Integrated Genomic and Functional microRNA Analysis Identifies miR-30-5p as a Tumor Suppressor and Potential Therapeutic Nanomedicine in Head and Neck Cancer.

PURPOSE: To identify deregulated and inhibitory miRNAs and generate novel mimics for replacement nanomedicine for head and neck squamous cell carcinomas (HNSCC). EXPERIMENTAL DESIGN: We integrated miRNA and mRNA expression, copy number variation, and DNA methylation results from The Cancer Genome Atlas (TCGA), with a functional genome-wide screen. RESULTS: We reveal that the miR-30 family is commonly repressed, and all 5 members sharing these seed sequence similarly inhibit HNSCC proliferation in vitro. We uncover a previously unrecognized inverse relationship with overexpression of a network of important predicted target mRNAs deregulated in HNSCC, that includes key molecules involved in proliferation (EGFR, MET, IGF1R, IRS1, E2F7), differentiation (WNT7B, FZD2), adhesion, and invasion (ITGA6, SERPINE1). Reexpression of the most differentially repressed family member, miR-30a-5p, suppressed this mRNA program, selected signaling proteins and pathways, and inhibited cell proliferation, migration, and invasion in vitro. Furthermore, a novel miR-30a-5p mimic formulated into a targeted nanomedicine significantly inhibited HNSCC xenograft tumor growth and target growth receptors EGFR and MET in vivo. Significantly decreased miR-30a/e family expression was related to DNA promoter hypermethylation and/or copy loss in TCGA data, and clinically with decreased disease-specific survival in a validation dataset. Strikingly, decreased miR-30e-5p distinguished oropharyngeal HNSCC with poor prognosis in TCGA (P = 0.002) and validation (P = 0.007) datasets, identifying a novel candidate biomarker and target for this HNSCC subset. CONCLUSIONS: We identify the miR-30 family as an important regulator of signal networks and tumor suppressor in a subset of HNSCC patients, which may benefit from miRNA replacement nanomedicine therapy.

Proteomic analysis of oral cavity squamous cell carcinoma specimens identifies patient outcome-associated proteins.

CONTEXT: Global proteomic analysis of oral cavity squamous cell carcinoma was performed to identify changes that reflect patient outcomes. OBJECTIVES: To identify differentially expressed proteins associated with patient outcomes and to explore the use of imaging mass spectrometry as a clinical tool to identify clinically relevant proteins. DESIGN: Two-dimensional separation of digested peptides generated from 43 specimens with high-resolution mass spectrometry identified proteins associated with disease-specific death, distant metastasis, and loco-regional recurrence. RNA expressions had been correlated to protein levels to test transcriptional regulation of clinically relevant proteins. Imaging mass spectrometry explored an alternative platform for assessing clinically relevant proteins that would complement surgical pathologic diagnosis. RESULTS: Seventy-two peptide features were found to be associated with 3 patient outcomes: disease-specific death (9), distant metastasis (16), and loco-regional recurrence (39); 8 of them were associated with multiple outcomes. Functional ontology revealed major changes in cell adhesion and calcium binding. Thirteen RNAs showed strong correlation with their encoded proteins, implying transcriptional control. Reduction of DSP, PKP1, and TRIM29 was associated with significantly shorter time to onset of distant metastasis. Reduction of PKP1 and TRIM29 correlated with poorer disease-specific survival. Additionally, S100A8 and S100A9 reductions were verified for their association with poor prognosis using imaging mass spectrometry, a platform more adaptable for use with surgical pathology. CONCLUSIONS: Using global proteomic analysis, we have identified proteins associated with clinical outcomes. The list of clinically relevant proteins observed will provide a means to develop clinical assays for prognosis and optimizing treatment selection.