Ferre-Giraldo, A.; Castells, M.; Sánchez-Herrero, J.F.; López-Rodrigo, O.; de Rocco-Ponce, M.; Bassas, L.; Vigués, F.; Sumoy, L.; Larriba, S.
Semen sEV tRF-Based Models Increase Non-Invasive Prediction Accuracy of Clinically Significant Prostate Cancer among Patients with Moderately Altered PSA Levels. Int. J. Mol. Sci. 2024, 25, 10122.
https://doi.org/10.3390/ijms251810122
AMA Style
Ferre-Giraldo A, Castells M, Sánchez-Herrero JF, López-Rodrigo O, de Rocco-Ponce M, Bassas L, Vigués F, Sumoy L, Larriba S.
Semen sEV tRF-Based Models Increase Non-Invasive Prediction Accuracy of Clinically Significant Prostate Cancer among Patients with Moderately Altered PSA Levels. International Journal of Molecular Sciences. 2024; 25(18):10122.
https://doi.org/10.3390/ijms251810122
Chicago/Turabian Style
Ferre-Giraldo, Adriana, Manel Castells, José Francisco Sánchez-Herrero, Olga López-Rodrigo, Maurizio de Rocco-Ponce, LluÃs Bassas, Francesc Vigués, Lauro Sumoy, and Sara Larriba.
2024. "Semen sEV tRF-Based Models Increase Non-Invasive Prediction Accuracy of Clinically Significant Prostate Cancer among Patients with Moderately Altered PSA Levels" International Journal of Molecular Sciences 25, no. 18: 10122.
https://doi.org/10.3390/ijms251810122
APA Style
Ferre-Giraldo, A., Castells, M., Sánchez-Herrero, J. F., López-Rodrigo, O., de Rocco-Ponce, M., Bassas, L., Vigués, F., Sumoy, L., & Larriba, S.
(2024). Semen sEV tRF-Based Models Increase Non-Invasive Prediction Accuracy of Clinically Significant Prostate Cancer among Patients with Moderately Altered PSA Levels. International Journal of Molecular Sciences, 25(18), 10122.
https://doi.org/10.3390/ijms251810122