Expression, genomic patterns predict sarcoma progression

Expression, genomic patterns predict sarcoma progression
The Complexity Index in Sarcoma and Genomic Index prognostic signatures are valid independent methods of assessing synovial sarcoma prognosis, according to a study published online Jan. 14 in the Journal of Clinical Oncology.

(HealthDay)—The Complexity Index in Sarcoma (CINSARC) and Genomic Index prognostic signatures are valid independent methods of assessing synovial sarcoma (SS) prognosis, according to a study published online Jan. 14 in the Journal of Clinical Oncology.

Pauline Lagarde, of the Institut Bergonié in Bordeaux, France, and colleagues examined whether expression and genomic prognostic signatures related to chromosome integrity in and (CINSARC and Genomic Index) could predict outcomes in SS. In a training/validation approach, 100 patients with primary untreated SS tumors underwent expression and genomic profiling.

The researchers found that CINSARC and Genomic Index exhibited significant independent and validated prognostic values. Fourteen genes in the CINSARC signature were identified through comparing of tumors with or without metastasis; and in an independent cohort, KIF14 and CDCA2, were validated as prognostic markers. Metastasis was associated with genome complexity in both adult and pediatric SS; the adult genome was more frequently rearranged, and, accordingly, metastasis did not develop in pediatric patients who had an even genomic profile.

"To conclude, this study offers results that are meaningful for understanding the metastatic potential of sarcomas in general, and particularly in SS for which this study provides a biologic explanation for the distinct aggressiveness of pediatric and adult SS," the authors write.

More information: Abstract
Full Text (subscription or payment may be required)

Journal information: Journal of Clinical Oncology

Copyright © 2013 HealthDay. All rights reserved.

Citation: Expression, genomic patterns predict sarcoma progression (2013, January 18) retrieved 10 May 2024 from https://medicalxpress.com/news/2013-01-genomic-patterns-sarcoma.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

Integrating genetic information with breast cancer risk factors may help refine prognosis

 shares

Feedback to editors