Dataset Information


Human Serum Low Molecular Mass Prostate-specific Antigen As Biomarker.

ABSTRACT: Background:Prostate-specific antigen (PSA) is a glycoprotein tumor marker known to exist as numerous glycospecies. Investigations on its glycobiochemical properties aimed at their use in the preparation of adjuncts in determining PSA concentration for clinical purposes have accumulated a lot of data on its structural properties. In this study, we reconsidered unexplored ubiquitously present low molecular mass species of PSA regarding to molecular mass, origin and pathophysiological source specificity in order to evaluate them as biomarkers. Methods:Data on low molecular mass PSA-immunoreactive species from sera of subjects with prostate cancer (PCa), benign prostatic hyperplasia (BPH), breast cancer (BCa), and urine of healthy males obtained by on-chip immunoaffinity chromatography combined with mass spectrometry were analyzed. Results:The results obtained indicated PSA species common to BCa, PCa, and BPH at 12-13 kDa, 17-19 kDa and 21-24 kDa. The striking difference in predominant frequencies made the profile characteristic in each examined pathophysiological condition. On the other hand, paired groups of prostatic and extraprostatic PSA contained rare species with small differences among groups concerning individual species. Low molecular mass PSA also included rare species unique for each group of samples. Conclusion:The results obtained revealed that uniformity of low molecular mass PSA-immunoreactive species in sera prevails over diversity related to cancer and non-cancer conditions, but at the same time some of them are molecules with biomarker potential for BPH detection.


PROVIDER: S-EPMC6294081 | BioStudies | 2017-01-01T00:00:00Z


REPOSITORIES: biostudies

Similar Datasets

2016-01-01 | S-EPMC5012650 | BioStudies
2019-01-01 | S-EPMC6826376 | BioStudies
2011-01-01 | S-EPMC3100237 | BioStudies
2017-01-01 | S-EPMC5533870 | BioStudies
2020-01-01 | S-EPMC7255360 | BioStudies
2020-01-01 | S-EPMC7222547 | BioStudies
2017-01-01 | S-EPMC5739598 | BioStudies
1000-01-01 | S-EPMC4984473 | BioStudies
2019-01-31 | GSE113234 | GEO
2016-01-01 | S-EPMC5190043 | BioStudies