MicroRNA expression characterizes oligometastasis(es).
BACKGROUND: Cancer 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. METHODS: Here, we identified patterns of microRNA expression of tumor samples from oligometastatic patients treated with high-dose radiotherapy. RESULTS: Patients 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. CONCLUSIONS: These 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.
Duke Scholars
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Related Subject Headings
- Xenograft Model Antitumor Assays
- Reproducibility of Results
- Neoplasm Metastasis
- MicroRNAs
- Mice
- Lung
- Humans
- General Science & Technology
- Gene Expression Regulation, Neoplastic
- Gene Expression Profiling
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Xenograft Model Antitumor Assays
- Reproducibility of Results
- Neoplasm Metastasis
- MicroRNAs
- Mice
- Lung
- Humans
- General Science & Technology
- Gene Expression Regulation, Neoplastic
- Gene Expression Profiling