Gene expression profiling in leiomyosarcomas and undifferentiated pleomorphic sarcomas: SRC as a new diagnostic marker


Autoria(s): Villacis, Rolando A. R.; Silveira, Sara M.; Barros-Filho, Mateus C.; Marchi, Fabio A.; Domingues, Maria Aparecida Custódio; Scapulatempo-Neto, Cristovam; Aguiar, Samuel; Lopes, Ademar; Cunha, Isabela W.; Rogatto, Silvia Regina
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

18/03/2015

18/03/2015

16/07/2014

Resumo

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Background: Undifferentiated Pleomorphic Sarcoma (UPS) and high-grade Leiomyosarcoma (LMS) are soft tissue tumors with an aggressive clinical behavior, frequently developing local recurrence and distant metastases. Despite several gene expression studies involving soft tissue sarcomas, the potential to identify molecular markers has been limited, mostly due to small sample size, in-group heterogeneity and absence of detailed clinical data.Materials and Methods: Gene expression profiling was performed for 22 LMS and 22 UPS obtained from untreated patients. To assess the relevance of the gene signature, a meta-analysis was performed using five published studies. Four genes (BAD, MYOCD, SRF and SRC) selected from the gene signature, meta-analysis and functional in silico analysis were further validated by quantitative PCR. In addition, protein-protein interaction analysis was applied to validate the data. SRC protein immunolabeling was assessed in 38 UPS and 52 LMS.Results: We identified 587 differentially expressed genes between LMS and UPS, of which 193 corroborated with other studies. Cluster analysis of the data failed to discriminate LMS from UPS, although it did reveal a distinct molecular profile for retroperitoneal LMS, which was characterized by the over-expression of smooth muscle-specific genes. Significantly higher levels of expression for BAD, SRC, SRF, and MYOCD were confirmed in LMS when compared with UPS. SRC was the most value discriminator to distinguish both sarcomas and presented the highest number of interaction in the in silico protein-protein analysis. SRC protein labeling showed high specificity and a positive predictive value therefore making it a candidate for use as a diagnostic marker in LMS.Conclusions: Retroperitoneal LMS presented a unique gene signature. SRC is a putative diagnostic marker to differentiate LMS from UPS.

Formato

8

Identificador

http://dx.doi.org/10.1371/journal.pone.0102281

Plos One. San Francisco: Public Library Science, v. 9, n. 7, 8 p., 2014.

1932-6203

http://hdl.handle.net/11449/117390

10.1371/journal.pone.0102281

WOS:000341306600056

WOS000341306600056.pdf

Idioma(s)

eng

Publicador

Public Library Science

Relação

Plos One

Direitos

openAccess

Tipo

info:eu-repo/semantics/article