MicroRNA expression characterizes oligometastasis(es) |
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Authors: | Lussier Yves A Xing H Rosie Salama Joseph K Khodarev Nikolai N Huang Yong Zhang Qingbei Khan Sajid A Yang Xinan Hasselle Michael D Darga Thomas E Malik Renuka Fan Hanli Perakis Samantha Filippo Matthew Corbin Kimberly Lee Younghee Posner Mitchell C Chmura Steven J Hellman Samuel Weichselbaum Ralph R |
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Institution: | Comprehensive Cancer Center, University of Chicago, Chicago, Illinois, United States of America. ylussier@uic.edu |
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Abstract: | BackgroundCancer staging and treatment presumes a division into localized or metastatic disease. We proposed an intermediate state defined by ≤5 cumulative metastasis(es), termed oligometastases. In contrast to widespread polymetastases, oligometastatic patients may benefit from metastasis-directed local treatments. However, many patients who initially present with oligometastases progress to polymetastases. Predictors of progression could improve patient selection for metastasis-directed therapy.MethodsHere, we identified patterns of microRNA expression of tumor samples from oligometastatic patients treated with high-dose radiotherapy.ResultsPatients who failed to develop polymetastases are characterized by unique prioritized features of a microRNA classifier that includes the microRNA-200 family. We created an oligometastatic-polymetastatic xenograft model in which the patient-derived microRNAs discriminated between the two metastatic outcomes. MicroRNA-200c enhancement in an oligometastatic cell line resulted in polymetastatic progression.ConclusionsThese results demonstrate a biological basis for oligometastases and a potential for using microRNA expression to identify patients most likely to remain oligometastatic after metastasis-directed treatment. |
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