<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2018-06-09 14:47:10, UPMCnews from company upmc tweeted. The tweet was "The intersection of radiation and medical oncology nursing. Annette Quinn from the UPMC Hillman Cancer Center discusses the increasing role of radiation oncology nurses in patient care. <hyperlink> via <mention> <hyperlink>". The most similar tweets were, 
1. On 2018-03-23 15:25:05, CNN handle of company cnn tweeted. The tweet was "A former cancer patient is now a doctor at the hospital that helped her survive <hyperlink> <hyperlink>". This tweet got 1165 number of likes. 
2. On 2018-06-04 15:27:04, Independent handle of company independent tweeted. The tweet was "Woman cured of advanced breast cancer using own immune cells in ‘exciting’ global first <hyperlink> <hyperlink>". This tweet got 151 number of likes. 
3. On 2018-06-04 21:25:41, Independent handle of company independent tweeted. The tweet was "Woman cured of advanced breast cancer using own immune cells in ‘exciting’ global first <hyperlink> <hyperlink>". This tweet got 53 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
