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MicroRNA Profiles Discriminate among Colon Cancer Metastasis

Drusco, Alessandra; Nuovo, Gerard J.; Zanesi, Nicola; Di Leva, Gianpiero; Pichiorri, Flavia; Volinia, Stefano; Fernandez, Cecilia; Antenucci, Anna; Costinean, Stefan; Bottoni, Arianna; Rosito, Immacolata A.; Liu, Chang-Gong; Burch, Aaron; Acunzo, Mario; Pekarsky, Yuri; Alder, Hansjuerg; Ciardi, Antonio; Croce, Carlo M.

Authors

Alessandra Drusco

Gerard J. Nuovo

Nicola Zanesi

Flavia Pichiorri

Stefano Volinia

Cecilia Fernandez

Anna Antenucci

Stefan Costinean

Arianna Bottoni

Immacolata A. Rosito

Chang-Gong Liu

Aaron Burch

Mario Acunzo

Yuri Pekarsky

Hansjuerg Alder

Antonio Ciardi

Carlo M. Croce



Contributors

Alfons Navarro
Editor

Abstract

MicroRNAs are being exploited for diagnosis, prognosis and monitoring of cancer and other diseases. Their high tissue specificity and critical role in oncogenesis provide new biomarkers for the diagnosis and classification of cancer as well as predicting patients' outcomes. MicroRNAs signatures have been identified for many human tumors, including colorectal cancer (CRC). In most cases, metastatic disease is difficult to predict and to prevent with adequate therapies. The aim of our study was to identify a microRNA signature for metastatic CRC that could predict and differentiate metastatic target organ localization. Normal and cancer tissues of three different groups of CRC patients were analyzed. RNA microarray and TaqMan Array analysis were performed on 66 Italian patients with or without lymph nodes and/or liver recurrences. Data obtained with the two assays were analyzed separately and then intersected to identify a primary CRC metastatic signature. Five differentially expressed microRNAs (hsa-miR-21, -103, -93, -31 and -566) were validated by qRT-PCR on a second group of 16 American metastatic patients. In situ hybridization was performed on the 16 American patients as well as on three distinct commercial tissues microarray (TMA) containing normal adjacent colon, the primary adenocarcinoma, normal and metastatic lymph nodes and liver. Hsa-miRNA-21, -93, and -103 upregulation together with hsa-miR-566 downregulation defined the CRC metastatic signature, while in situ hybridization data identified a lymphonodal invasion profile. We provided the first microRNAs signature that could discriminate between colorectal recurrences to lymph nodes and liver and between colorectal liver metastasis and primary hepatic tumor.

Citation

Drusco, A., Nuovo, G. J., Zanesi, N., Di Leva, G., Pichiorri, F., Volinia, S., …Croce, C. M. (in press). MicroRNA Profiles Discriminate among Colon Cancer Metastasis. PloS one, 9(6), Article e96670. https://doi.org/10.1371/journal.pone.0096670

Journal Article Type Article
Acceptance Date Apr 10, 2014
Online Publication Date Jun 12, 2014
Deposit Date Jun 12, 2023
Journal PloS one
Print ISSN 1932-6203
Publisher Public Library of Science
Peer Reviewed Peer Reviewed
Volume 9
Issue 6
Article Number e96670
DOI https://doi.org/10.1371/journal.pone.0096670
Keywords Multidisciplinary