You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Delivering the promise of miRNA cancer therapeutics. MicroRNAs (miRNAs) are pivotal post-transcriptional gene expression regulators. These endogenous small non-coding RNAs aberrantly expressed in cancer have significant roles in tumorigenesis and progression. Currently, miRNAs are being pursued as diagnostic and prognostic biomarkers, and as therapeutic tools in cancer. miRNA modulation provides the unique ability to fine-tune multiple genes simultaneously, thereby regulating relevant signaling pathways involved in cell differentiation, proliferation and survival. This unique miRNA feature shifts the traditional one drug one target paradigm to a novel one drug multiple targets paradigm. We herein review in vivo strategies of miRNA modulator (mimic and/or inhibitor) delivery in cancer models, a subject that remains the key challenge to the establishment of this novel class of RNA therapeutics.
{"Chemical": []}