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: ["Gene"].

Please return the output as a JSON object of the format: {"Gene": ["IGF", ...]}. 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:

Long noncoding RNA LINP1 regulates repair of DNA double-strand breaks in triple-negative breast cancer. Long noncoding RNAs (lncRNAs) play critical roles during tumorigenesis by functioning as scaffolds that regulate protein-protein, protein-DNA or protein-RNA interactions. Using a clinically guided genetic screening approach, we identified lncRNA in nonhomologous end joining (NHEJ) pathway 1 (LINP1), which is overexpressed in human triple-negative breast cancer. We found that LINP1 enhances repair of DNA double-strand breaks by serving as a scaffold linking Ku80 and DNA-PKcs, thereby coordinating the NHEJ pathway. Importantly, blocking LINP1, which is regulated by p53 and epidermal growth factor receptor (EGFR) signaling, increases the sensitivity of the tumor-cell response to radiotherapy in breast cancer.
{"Gene": ["lncRNAs", "Long noncoding RNA", "DNA-PKcs", "LINP1", "Long noncoding RNAs", "p53", "epidermal growth factor receptor", "lncRNA in nonhomologous end joining (NHEJ) pathway 1", "Ku80", "EGFR"]}