Systematic characterization of A-to-I RNA editing hotspots in microRNAs across human cancers.

RNA editing, a widespread post-transcriptional mechanism, has emerged as a new player in cancer biology. Recent studies have reported key roles for individual miRNA editing events, but a comprehensive picture of miRNA editing in human cancers remains largely unexplored. Here, we systematically characterized the miRNA editing profiles of 8595 samples across 20 cancer types from miRNA sequencing data of The Cancer Genome Atlas and identified 19 adenosine-to-inosine (A-to-I) RNA editing hotspots. We independently validated 15 of them by perturbation experiments in several cancer cell lines. These miRNA editing events show extensive correlations with key clinical variables (e.g., tumor subtype, disease stage, and patient survival time) and other molecular drivers. Focusing on the RNA editing hotspot in miR-200b, a key tumor metastasis suppressor, we found that the miR-200b editing level correlates with patient prognosis opposite to the pattern observed for the wild-type miR-200b expression. We further experimentally showed that, in contrast to wild-type miRNA, the edited miR-200b can promote cell invasion and migration through its impaired ability to inhibit ZEB1/ZEB2 and acquired concomitant ability to repress new targets, including LIFR, a well-characterized metastasis suppressor. Our study highlights the importance of miRNA editing in gene regulation and suggests its potential as a biomarker for cancer prognosis and therapy.

Poly ADP-ribose polymerase-1 as a potential therapeutic target in Merkel cell carcinoma.

BACKGROUND: Patients with metastatic Merkel cell carcinoma are treated similarly to small cell lung cancer (SCLC). Poly ADP-ribose polymerase-1 (PARP1) is overexpressed in SCLC and response to PARP inhibitors have been reported in patients with SCLC. Our study explores PARP as a therapeutic target in Merkel cell carcinoma. METHODS: We evaluated PARP1 expression and Merkel cell polyomavirus (MCPyV) in 19 patients with Merkel cell carcinoma. Target exome-sequencing was performed in 14 samples. Sensitivity to olaparib was tested in 4 Merkel cell carcinoma cell lines. RESULTS: Most Merkel cell carcinomas (74%) express PARP1 at high levels. Mutations in DNA-damage repair genes were identified in 9 samples (64%), occurred exclusively in head neck primaries, and correlated with TP53/RB1 mutations. The TP53/RB1 mutations were more frequent in MCPyV-negative tumors. Sensitivity to olaparib was seen in the Merkel cell carcinoma line with highest PARP1 expression. CONCLUSION: Based on PARP1 overexpression, DNA-damage repair gene mutations, platinum sensitivity, and activity of olaparib in a Merkel cell carcinoma line, clinical trials with PARP inhibitors are warranted in Merkel cell carcinoma.

Characterization of Human Cancer Cell Lines by Reverse-phase Protein Arrays.

Cancer cell lines are major model systems for mechanistic investigation and drug development. However, protein expression data linked to high-quality DNA, RNA, and drug-screening data have not been available across a large number of cancer cell lines. Using reverse-phase protein arrays, we measured expression levels of ∼230 key cancer-related proteins in >650 independent cell lines, many of which have publically available genomic, transcriptomic, and drug-screening data. Our dataset recapitulates the effects of mutated pathways on protein expression observed in patient samples, and demonstrates that proteins and particularly phosphoproteins provide information for predicting drug sensitivity that is not available from the corresponding mRNAs. We also developed a user-friendly bioinformatic resource, MCLP, to help serve the biomedical research community.

The Genomic Landscape and Clinical Relevance of A-to-I RNA Editing in Human Cancers.

Adenosine-to-inosine (A-to-I) RNA editing is a widespread post-transcriptional mechanism, but its genomic landscape and clinical relevance in cancer have not been investigated systematically. We characterized the global A-to-I RNA editing profiles of 6,236 patient samples of 17 cancer types from The Cancer Genome Atlas and revealed a striking diversity of altered RNA-editing patterns in tumors relative to normal tissues. We identified an appreciable number of clinically relevant editing events, many of which are in noncoding regions. We experimentally demonstrated the effects of several cross-tumor nonsynonymous RNA editing events on cell viability and provide the evidence that RNA editing could selectively affect drug sensitivity. These results highlight RNA editing as an exciting theme for investigating cancer mechanisms, biomarkers, and treatments.