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This article is part of the supplement: São Paulo Advanced School of Comparative Oncology: Abstracts

Open Access Poster presentation

Copy number alteration signature defines undifferentiated pleomorphic sarcomas and leiomyosarcomas with poor prognosis

Sara Martoreli Silveira1*, Rolando Rolando Andre Rios Villacis1, Fabio Albuquerque Marchi2, Mateus de Camargo Barros Filho1, Sandra Drigo Linde1, Cristovam Scapulatempo Neto3, Isabela Werneck da Cunha4, Ademar Lopes5 and Silvia Regina Rogatto16

Author affiliations

1 Neogene Laboratory, CIPE, A. C. Camargo Hospital, São Paulo, Brazil

2 Institute of Mathematics and Statistics, Inter-Institutional Program on Bioinformatics, São Paulo, Brazil

3 Department of Pathology, Barretos Cancer Hospital (Pio XII Foundation), Barretos, Brazil

4 Department of Anatomic Pathology, A. C. Camargo Hospital, São Paulo, Brazil

5 Department of Pelvic Surgery, A.C. Camargo Cancer Hospital, São Paulo, Brazil

6 Department of Urology, Faculty of Medicine, UNESP, Botucatu, São Paulo, Brazil

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Citation and License

BMC Proceedings 2013, 7(Suppl 2):P64  doi:10.1186/1753-6561-7-S2-P64

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1753-6561/7/S2/P64


Published:4 April 2013

© 2013 Silveira et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Background

Undifferentiated high-grade pleomorphic sarcomas (UPS) display an aggressive clinical behavior with frequent development of distant metastasis and local recurrence. Since these tumors, particularly leiomyosarcomas (LMS), present a similar morphological pattern with other entities, the classification criterion by exclusion is frequently used.

Methodology

In this study, array-based comparative genomic hybridization (array CGH) was applied in 20 UPS and 17 LMS (untreated cases). Array CGH (Agilent Technologies, 44K) data were analyzed by Nexus Software (v 6.0, BioDiscovery). Multivariate analysis was performed in order to identify the most important prognostic factors.

Results

LMS presented lower frequency of genomic alterations in comparison with UPS. None of the variables were identified as independent prognostic factors, but gains at 1q21.3 were significantly associated with poor survival and showed almost significance as an independent prognostic factor (relative risk 13.8, P = 0.019). In addition, copy number profile of UPS and LMS was indistinguishable by unsupervised hierarchical clustering analysis, one out of three clusters presented cases associated with poor prognosis (P = 0.022). Relative copy number analysis for ARNT, SLC27A3, PBXIP1 and CCND1 genes was performed by quantitative real time PCR in 11 LMS and 16 UPS confirming the array CGH findings. Gains on 1q21-q22 involving ARNT, PXIP1 and SCL27A3 were observed exclusively in a subset of UPS.

Conclusions

These findings describing a poor prognosis genomic signature in a subgroup of UPS and LMS can contribute to better stratify these patients for treatment.

Financial support

FAPESP and CAPES.