ReviewClinical proteomics2026
Comprehensive biochemical insights into derivatives of PSA and glycosylation-specific changes in PSA: role in diagnosis and management of prostate cancer.
Review in Clinical proteomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProstate cancer (PCa) is the most commonly diagnosed cancer in men worldwide, and prostate-specific antigen (PSA) test is currently the standard of choice for PCa diagnosis. Globally, several methods are employed for diagnosis of PCa, and each holds a unique role and importance. Serum PSA test and Magnetic Resonance Imaging (MRI) are widely used for diagnosis of PCa; however, MRI has certain limitations and disadvantages compared to PSA test. Moreover, growing evidences suggest that solely simple testing of serum PSA levels to diagnose PCa leads to widespread overdiagnosis and overtreatment. This is because simple PSA test has certain limitations, including lack of specificity, elevation in Benign Prostatic Hyperplasia (BPH) and inability to detect a significant number of PSA-negative tumors. Additionally, serum PSA levels do not directly correlate with higher grades and stages of PCa. MAIN BODY: The purpose of this manuscript is to provide comprehensive and up-to-date knowledge, critical perspectives, and practical applications of derivatives of PSA and glycosylation-specific changes in PSA, with the aim of minimizing unnecessary and excessive biopsy in patients suspected of having PCa. Therefore, the use of various derivatives of PSA was focused here to increase the sensitivity and specificity of serum PSA for diagnosis of PCa. In addition to PSA levels, glycan structure of PSA changes with progression of PCa, which suggest that aberrant PSA glycosylation increases as PCa progresses. Differences in the glycan structure of PSA enable to distinguish normal PSA from cancerous origin, suggesting an important biochemical application of glycan structure of PSA in the diagnosis of PCa. Thus, present study highlights the role of derivatives of PSA and glycosylation-specific changes in PSA in the diagnosis and management of PCa. Additionally, this article emphasizes integration of glycan-based assays with PSA derivatives into multi-analyte panels, paving the way for more sensitive and specific diagnosis of PCa and aiding in the management of PCa.
conclusionThe manuscript will provide extensive information to minimize superfluous biopsies, identify patients truly needing biopsy, differentiate BPH from PCa, distinguish indolent from aggressive PCa, enable early diagnosis and treatment at early-stage, monitor treatment response and early detection of recurrence.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.