Molecular characterization and clinical impact of TMPRSS2-ERG rearrangement on prostate cancer: comparison between FISH and RT-PCR
EntityUAM. Departamento de Biología Molecular
PublisherHindawi Publishing Corporation
10.1155/2013/465179BioMed Research International 2013 (2013): 465179
ISSN2314-6133 (print); 2314-6141] (online)
Funded byThis study has been funded by the Grants FIS PI06/01619 and PI10/01206 from the Instituto de Salud Carlos III, Madrid, ACOMP 12/029 from the Generalitat Valenciana, Valencia, and Astra Zeneca, Spain.
SubjectsBiología y Biomedicina / Biología
Rights© 2013 A. Fernández-Serra et al.
Esta obra está bajo una Licencia Creative Commons Atribución 4.0 Internacional.
Prostate cancer (PCa) is a very heterogeneous disease, and there are constraints in its current diagnosis. Serum PSA levels, digital rectal examination (DRE), and histopathologic analysis often drive to overdiagnosis and overtreatment. Since 2005, the presence of the genetic rearrangement between transmembrane-serine protease gene (TMPRSS2) and the erythroblast transformation-specific (ETS)member ERG (v-ets erythroblastosis virus E26 oncogene homolog avian) has been demonstrated in almost half of PCa cases. Both FISH and RT-PCR are useful tools for detecting these rearrangements, but very few comparatives between both techniques have been published. In this study, we included FFPE tumors from 294 PCa patients treated with radical prostatectomy with more than 5 years of followup.We constructed a total of 20 tissue microarrays in order to perform break-apart and tricolor probe FISH approaches that were compared with RT-PCR, showing a concordance of 80.6% ( P < 0.001). The presence of TMPRSS2-ERG rearrangement was observed in 56.6% of cases. No association between TMPRSS2-ERG status and clinicopathological parameters nor biochemical progression and clinical progression free survival was found. In conclusion, this study demonstrates that both FISH and RT-PCR are useful tools in the assessment of the TMPRSS2-ERG fusion gene status in PCa patients and that this genetic feature per se lacks prognostic value.
Google Scholar:Fernández-Serra, Antonio - Rubio, Luis Alberto - Calatrava, Ana - Rubio-Briones, José - Salgado, Rocío N. - Gil-Benso, Rosario - Espinet, Blanca - García Casado, Zaida - López Guerrero, José Antonio
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Gene expression analyses determine two different subpopulations in KIT-negative GIST-like (KNGL) patients Moura, David S.; Ramos, Rafael; Fernández-Serra, Antonio; Serrano, Teresa; Cruz, Julia; Álvarez-Alegret, Ramiro; Ortiz-Durán, Rosa; Vicioso, Luis; Gómez-Dorronsoro, María Luisa; Garcia del Muro, Xavier; Martínez-Trufero, Javier; Rubio-Casadevall, Jordi; Sevilla, Isabel; Laínez, Nuria; Gutiérrez, Antonio; Serrano, César; López-Álvarez, María; Hindi, Nadia; Tarón, Miguel; López Guerrero, José Antonio; Martín-Broto, Javier