Abstract
Simple SummaryTesticular germ cell tumors are the most common solid cancers in men aged between 15–39 years. There is a need of non-invasive biomarkers for diagnosis and follow-up of these patients. miR-371a-3p has emerged as the most reliable biomarker of this disease, but fails to detect the teratoma subtype, which has clinical implications. In this work we describe a new method that combines miR-371a-3p quantification using RT-qPCR and hypermethylated RASSF1A quantification by droplet digital PCR in serum samples of these patients. The combination of both biomarkers detected disease (including teratoma) with a sensitivity of 100%, using cutoffs that made all healthy participants negative, being of interest for implementation in the clinical setting. The classical serum tumor markers used routinely in the management of testicular germ cell tumor (TGCT) patients—alpha fetoprotein (AFP) and human chorionic gonadotropin (HCG)—show important limitations. miR-371a-3p is the most recent promising biomarker for TGCTs, but it is not sufficiently informative for detection of teratoma, which is therapeutically relevant. We aimed to test the feasibility of hypermethylated RASSF1A (RASSF1AM) detected in circulating cell-free DNA as a non-invasive diagnostic marker of testicular germ cell tumors, combined with miR-371a-3p. A total of 109 serum samples of patients and 29 sera of healthy young adult males were included, along with representative cell lines and tumor tissue samples. We describe a novel droplet digital polymerase chain reaction (ddPCR) method for quantitatively assessing RASSF1AM in liquid biopsies. Both miR-371a-3p (sensitivity = 85.7%) and RASSF1AM (sensitivity = 86.7%) outperformed the combination of AFP and HCG (sensitivity = 65.5%) for TGCT diagnosis. RASSF1AM detected 88% of teratomas. In this representative cohort, 14 cases were negative for miR-371a-3p, all of which were detected by RASSF1AM, resulting in a combined sensitivity of 100%. We have described a highly sensitive and specific panel of biomarkers for TGCT patients, to be validated in the context of patient follow-up and detection of minimal residual disease.
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