ArticleCancer medicine2023
Accurate prostate cancer detection based on enrichment and characterization of prostate cancer specific circulating tumor cells.
Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Circulating tumour cells as a window into lethality in prostate cancer.Nature reviews. Urology · 2026Review
- Inflammatory and Epigenetic Biomarkers in Prostate Disease: Current Evidence, Clinical Limitations, and Future Multimarker Strategies.Diagnostics (Basel, Switzerland) · 2026Review
- Liquid biopsy, multi-cancer early detection, and artificial intelligence: new frontiers in cancer screening from a technological and immunological perspective.Frontiers in immunology · 2026Review
- Research protocol for the evaluation of TriNetra™ prostate: a circulating tumor cell-based diagnostic tool for prostate cancer.International journal of surgery protocols · 2025Article
- Circulating tumor cells: Blood-based detection, molecular biology, and clinical applications.Cancer cell · 2025Review
- The development and applications of circulating tumour cells, circulating tumour DNA and other emerging biomarkers for early cancer detection.Exploration of targeted anti-tumor therapy · 2025Review
- A revolutionary era in advancing precision immuno-oncology; role of circulating tumor cells.The journal of liquid biopsy · 2024Review
- Single-cell and spatial omics unravel the spatiotemporal biology of tumour border invasion and haematogenous metastasis.Clinical and translational medicine · 2024Review
- Article
- Clinical significance of genomic sequencing of circulating tumour cells (CTCs) in cancer.The journal of liquid biopsy · 2024Review
- Accurate prostate cancer detection based on enrichment and characterization of prostate cancer specific circulating tumor cells.Cancer medicine · 2023Article
Corrections and comments
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Authors and funding
18 authors at 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe low specificity of serum PSA resulting in the inability to effectively differentiate prostate cancer from benign prostate conditions is a persistent clinical challenge. The low sensitivity of serum PSA results in false negatives and can miss high-grade prostate cancers. We describe a non-invasive test for detection of prostate cancer based on functional enrichment of prostate adenocarcinoma associated circulating tumor cells (PrAD-CTCs) from blood samples followed by their identification by immunostaining for pan-cytokeratins (PanCK), prostate specific membrane antigen (PSMA), alpha methyl-acyl coenzyme-A racemase (AMACR), epithelial cell adhesion molecule (EpCAM), and common leucocyte antigen (CD45).
methodsAnalytical validation studies were performed to establish the performance characteristics of the test using VCaP prostate cancer cells spiked into healthy donor blood (HDB). The clinical performance characteristics of the test were evaluated in a case-control study with 160 known prostate cancer cases and 800 healthy males, followed by a prospective clinical study of 210 suspected cases of prostate cancer.
resultsAnalytical validation established analyte stability as well as acceptable performance characteristics. The test showed 100% specificity and 100% sensitivity to differentiate prostate cancer cases from healthy individuals in the case control study and 91.2% sensitivity and 100% specificity to differentiate prostate cancers from benign prostate conditions in the prospective clinical study.
conclusionsThe test accurately detects PrAD-CTCs with high sensitivity and specificity irrespective of stage, serum PSA or Gleason score, which translates into low risks of false negatives or overdiagnosis. The high accuracy of the test could offer advantages over PSA based prostate cancer detection.
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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.