Abstract

The objective of this study is to determine the role of tumor marker density (TMD) values such as alpha-fetoprotein tumor volume ratio (ATVR), beta-human chorionic gonadotropin tumor volume ratio (βTVR), alpha-fetoprotein testicle size ratio (ATSR), beta-human chorionic gonadotropin testicle size ratio (βTSR), lactate dehydrogenase tumor volume ratio (LTVR), and lactate dehydrogenase testicle size ratio (LTSR) in the determination of progression-free survival (PFS) in patients with testicular cancer. A retrospective study was conducted of 95 patients followed-up in our clinic with a diagnosis of testicular cancer between January 2015 and August 2022. Patients were grouped according to clinical stage, as either early stage (n = 50) or advanced stage (n = 45). Clinical and pathological data and TMD values for all patients were recorded. The median age of patients was 35 years (21-63 years). All TMDs except LTVR in advanced stage patients were found to be significantly higher than those of early stage patients (p < 0.05). Median ATVR (2.58 vs. 0.0), ATSR (0.63 vs. 0.03), βTVR (0.9 vs. 0.009), and βTSR (0.18 vs. 0.007) of the nonseminoma patients were found to be significantly higher than those of the seminoma patients, respectively (p < 0.001). Progression-free survival (months) was decreased in seminoma patients with high values of βTVR (11.3 ± 1.9 vs. 35.2 ± 0.7), βTSR (16.2 ± 3.4 vs. 35.2 ± 0.75), LTVR (17.7 ± 3.4 vs. 35.2 ± 0.7), and LTSR (21.5 ± 3.13 vs. 35.09 ± 0.8) (p < 0.001). Decreased PFS (months) was associated with higher values of ATVR (5.37 ± 0.7 vs. 35.05 ± 0.93), βTVR (7.4 ± 1.5 vs. 34.6 ± 1.3), ATSR (5.37 ± 0.75 vs. 35.05 ± 0.9), βTSR (7 ± 1.5 vs. 34.6 ± 1.3), and LTSR (7.9 ± 1.2 vs. 34.3 ± 1.5) in nonseminoma patients (p < 0.001). Based on multivariate analysis, βTVR-LTVR and ATVR-ATSR were determined to be independent risk factors for reduced PFS in seminoma and nonseminoma patients, respectively (p < 0.05). The results of this study suggest that the calculation of TMDs could be a promising and simple method for prediction of PFS among testicular cancer patients.

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