MicroRNA expression characterizes oligometastasis(es).
PLoS One, 2011;6(12):e28650.
Lussier YA[1], Xing HR, Salama JK, Khodarev NN, Huang Y, Zhang Q, Khan SA, Yang X, Hasselle MD, Darga TE, Malik R, Fan H, Perakis S, Filippo M, Corbin K, Lee Y, Posner MC, Chmura SJ, Hellman S, Weichselbaum RR
Affiliations
PMID: 22174856DOI: 10.1371/journal.pone.0028650
Impact factor: 3.752
Abstract
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.
MeSH terms
Animals; Cell Line, Tumor; Cluster Analysis; Databases, Genetic; Disease Models, Animal; Disease Progression; Female; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Humans; Lung; Mice; MicroRNAs; Neoplasm Metastasis; Reproducibility of Results; Xenograft Model Antitumor Assays
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