ArticleCancers2023
A Novel Blood Proteomic Signature for Prostate Cancer.
Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The research progress on diagnostic indicators related to prostate-specific antigen gray-zone prostate cancer.BMC cancer · 2025Pooled it
- Machine learning-guided multimodal profiling defines perturbed immune states at the time of cancer diagnosis.Briefings in bioinformatics · 2026Article
- Pre-diagnostic plasma proteomics profile uncovers new biomarkers and mechanistic insights for incident kidney cancer.International journal of surgery (London, England) · 2026Article
- Extracellular matrix protein 1 in cancer: multifaceted roles in tumor progression, prognosis, and therapeutic targeting.Archives of pharmacal research · 2025Review
- Article
- A Scaled Proteomic Discovery Study for Prostate Cancer Diagnostic Markers Using ProteographInternational journal of molecular sciences · 2024Article
- Multiplexed quantitative proteomics in prostate cancer biomarker development.Advances in cancer research · 2024Review
- The Potential of Extracellular Matrix- and Integrin Adhesion Complex-Related Molecules for Prostate Cancer Biomarker Discovery.Biomedicines · 2023Review
- Multi-omic diagnostics of prostate cancer in the presence of benign prostatic hyperplasia.Heliyon · 2023Article
- Proteomic analysis identifies subgroups of patients with active systemic lupus erythematosus.Clinical proteomics · 2023Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Prostate cancer is the most common malignant tumour in men. Improved testing for diagnosis, risk prediction, and response to treatment would improve care. Here, we identified a proteomic signature of prostate cancer in peripheral blood using data-independent acquisition mass spectrometry combined with machine learning. A highly predictive signature was derived, which was associated with relevant pathways, including the coagulation, complement, and clotting cascades, as well as plasma lipoprotein particle remodeling. We further validated the identified biomarkers against a second cohort, identifying a panel of five key markers (GP5, SERPINA5, ECM1, IGHG1, and THBS1) which retained most of the diagnostic power of the overall dataset, achieving an AUC of 0.91. Taken together, this study provides a proteomic signature complementary to PSA for the diagnosis of patients with localised prostate cancer, with the further potential for assessing risk of future development of prostate cancer. Data are available via ProteomeXchange with identifier PXD025484.
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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.