ReviewTranslational oncology2026
From prostate specific antigen to genomic signatures: Advances in biomarkers for prostate cancer diagnosis and prognosis.
Review in Translational oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Olfactory Science and Technology in Prostate Cancer Diagnosis: From Invertebrate Models to Artificial Intelligence.Life (Basel, Switzerland) · 2026Review
- Incremental diagnostic value of MRI PI-RADS classification combined with PSA density for prostate cancer.Frontiers in oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer is one of the most prevalent malignancies affecting men worldwide. It arises from the uncontrolled proliferation of abnormal cells within the prostate gland, an essential component of the male reproductive system, and exhibits highly variable clinical behaviour, ranging from indolent, localised tumours to aggressive, metastatic disease. Early detection significantly improves treatment outcomes and survival rates, emphasising the urgent need for more sensitive and specific diagnostic approaches. This review provides a comprehensive overview of diagnostic and prognostic biomarkers associated with prostate cancer, highlighting their potential in early detection and disease monitoring. Traditional biomarkers such as digital rectal examination (DRE), prostate-specific antigen (PSA), prostatic acid phosphatase (PAP), and alkaline phosphatase (ALP) are discussed alongside emerging molecular markers that offer enhanced accuracy and predictive value. These include PCA3, SelectMDx, ExoDx Prostate (EPI), bone-specific ALP (BALP), 4Kscore, circulating tumour cells (CTCs), prostate health index (PHI), Oncotype DX Genomic Prostate Score (GPS), Decipher test, and ERG gene fusion. Additionally, the review addresses key genetic alterations implicated in prostate carcinogenesis, including mutations in BRCA1/2, HOXB13, and PTEN deletions, as well as changes in the androgen receptor pathway. By evaluating recent advancements and applications of these biomarkers, this review aims to enhance understanding of their role in improving early diagnosis, prognosis, and personalised management of prostate cancer.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.