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:

Pharmacogenetic predictors for EGFR-inhibitor-associated skin toxicity. The aim of this study was to investigate pharmacogenetic determinants of skin rash associated with epidermal growth factor receptor (EGFR) inhibitor treatment. A total of 109 prospectively sampled cancer patients, receiving the first treatment with an EGFR inhibitor, were genotyped for functional EGFR polymorphisms and tagging variants in genes involved in receptor downstream signaling. Skin rash was absent in 26 (23.9%) patients and associated with shorter overall survival compared with patients presenting skin rash (P=0.005). The EGFR polymorphisms, 497G/A (P=0.008), and the haplotypes of the promoter variants, EGFR-216G/T and -191C/A (P=0.029), were associated with the appearance of skin rash. In addition, a common haplotype in the PIK3CA gene was associated with skin rash (P=0.045) and overall survival (P=0.009). In conclusion, genetic variation within the EGFR gene and its downstream signaling partner PIK3CA might predict EGFR-inhibitor-related skin rash.
{"Chemical": []}