BACKGROUND: Ovarian cancer is the leading cause of death among malignancies in women. Despite advances in treatment, >50% of patients relapse. For disease monitoring, the identification of a blood-based biomarker would be of prime interest. In this regard, noncoding RNAs, such as microRNA (miRNA) or small nuclear RNA (snRNA), have been suggested as biomarkers for noninvasive cancer diagnosis. In the present study, we sought to identify differentially expressed miRNA/snRNA in sera of ovarian cancer patients and investigate their potential to aid in therapy monitoring. METHODS: miRNA/snRNA abundance was investigated in serum (n = 10) by microarray analysis and validated in an extended serum set (n = 119) by reverse-transcription quantitative PCR. RESULTS: Abundance of U2-1 snRNA fragment (RNU2-1f) was significantly increased in sera of ovarian cancer patients (P < 0.0001) and paralleled International Federation of Gynecology and Obstetrics stage as well as residual tumor burden after surgery (P < 0.0001 and P = 0.011, respectively). Moreover, for patients with suboptimal debulking, preoperative RNU2-1f concentration was associated with radiographic response after chemotherapy and with platinum resistance (P = 0.0088 and P = 0.0015, respectively). Interestingly, according to the RNU2-1f abundance dynamics, persistent RNU2-1f positivity before surgery and after chemotherapy identified a subgroup of patients with high risk of recurrence and poor prognosis. CONCLUSIONS: This is the first report to suggest that a circulating snRNA can serve as an auxiliary diagnostic tool for monitoring tumor dynamics in ovarian cancer. Our results provide a rationale to further investigate whether this high-risk patient group may benefit from additional therapies that are directly applied after chemotherapy.
BACKGROUND:Ovarian cancer is the leading cause of death among malignancies in women. Despite advances in treatment, >50% of patients relapse. For disease monitoring, the identification of a blood-based biomarker would be of prime interest. In this regard, noncoding RNAs, such as microRNA (miRNA) or small nuclear RNA (snRNA), have been suggested as biomarkers for noninvasive cancer diagnosis. In the present study, we sought to identify differentially expressed miRNA/snRNA in sera of ovarian cancerpatients and investigate their potential to aid in therapy monitoring. METHODS: miRNA/snRNA abundance was investigated in serum (n = 10) by microarray analysis and validated in an extended serum set (n = 119) by reverse-transcription quantitative PCR. RESULTS: Abundance of U2-1 snRNA fragment (RNU2-1f) was significantly increased in sera of ovarian cancerpatients (P < 0.0001) and paralleled International Federation of Gynecology and Obstetrics stage as well as residual tumor burden after surgery (P < 0.0001 and P = 0.011, respectively). Moreover, for patients with suboptimal debulking, preoperative RNU2-1f concentration was associated with radiographic response after chemotherapy and with platinum resistance (P = 0.0088 and P = 0.0015, respectively). Interestingly, according to the RNU2-1f abundance dynamics, persistent RNU2-1f positivity before surgery and after chemotherapy identified a subgroup of patients with high risk of recurrence and poor prognosis. CONCLUSIONS: This is the first report to suggest that a circulating snRNA can serve as an auxiliary diagnostic tool for monitoring tumor dynamics in ovarian cancer. Our results provide a rationale to further investigate whether this high-risk patient group may benefit from additional therapies that are directly applied after chemotherapy.
Authors: Jens Köhler; Martin Schuler; Thomas Christoph Gauler; Stefanie Nöpel-Dünnebacke; Maike Ahrens; Andreas-Claudius Hoffmann; Stefan Kasper; Felix Nensa; Benedikt Gomez; Maria Hahnemann; Frank Breitenbuecher; Danjouma Cheufou; Filiz Özkan; Kaid Darwiche; Mathias Hoiczyk; Henning Reis; Stefan Welter; Wilfried Ernst Erich Eberhardt; Martin Eisenacher; Helmut Teschler; Georgios Stamatis; Wolff Schmiegel; Stephan Albrecht Hahn; Alexander Baraniskin Journal: J Cancer Res Clin Oncol Date: 2015-12-19 Impact factor: 4.553
Authors: Marta Fernandez-Mercado; Lorea Manterola; Erika Larrea; Ibai Goicoechea; María Arestin; María Armesto; David Otaegui; Charles H Lawrie Journal: J Cell Mol Med Date: 2015-06-27 Impact factor: 5.310