Key result
A 10-protein plasma model identifies occult cancer in unprovoked VTE with a 0.78 c-statistic.
Why the study?
About 5% of patients with unprovoked VTE have occult cancer, and 50% remain undetected despite standard screening, prompting investigation of novel proteomic biomarkers.
Does quantitative targeted proteomics identify novel biomarkers for occult cancer in patients with unprovoked VTE?
Cohort (n=476)
Yes
Does quantitative targeted proteomics identify novel biomarkers for occult cancer in patients with unprovoked VTE?
A targeted plasma proteomic profile consisting of 10 proteins showed potential as a novel biomarker for detecting occult cancer in patients with unprovoked VTE.
Hypothesis-generating for proteomic detection of occult cancer in unprovoked VTE; requires prospective validation before clinical adoption.
Abstract Background About 5% of patients with unprovoked venous thromboembolism (VTE) have occult cancer. Despite standard cancer screening, 50% of cancers remain undetected. We used quantitative targeted proteomics to identify novel cancer biomarkers among patients with unprovoked VTE. Methods Patients ≥40 years with a first unprovoked VTE and without a malignancy in the preceding 5 years were invited to an international prospective cohort study. Plasma samples were collected within 10 days after VTE. The primary outcome was an adjudicated cancer diagnosis during 12-month follow-up. Concentrations of 269 plasma proteins, covering coagulation, complement, and cancer-associated pathways, were measured using quantitative mass spectrometry-based targeted proteomics. In a nested case-control study, protein profiles of patients with cancer were compared with those of randomly sampled unique control patients (ratio 3:1). Proteins with an unadjusted P-value <0.05 and fold change ≥15% were combined in a multivariable logistic regression model. To address the variability in the obtained model, the protein selection and model building approach was replicated in 250 bootstrap samples and an optimism-adjusted c-statistic was calculated. Results Of the 476 included participants, 28 (5.9%) were newly diagnosed with cancer. Plasma samples were available for 24 cases, which were compared with those of 75 control patients. Concentrations of P-selectin, β-2-microglobulin, complement C7, intracellular adhesion molecule 1, and lumican were higher in cases than in controls, whereas coagulation factors VII, X, and XII, β-Ala-His dipeptidase, and kalistatin were lower. The optimism-adjusted c-statistic of the multivariable logistic regression model including these proteins was 0.78 (95%CI, 0.70-0.87). Conclusions Ten differentially abundant proteins were identified in patients with occult cancer, suggesting potential of plasma proteomic tests as novel biomarker for occult cancer in patients with unprovoked VTE.
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Guman et al. (2025) conducted a cohort in Unprovoked venous thromboembolism (VTE) (n=476). Quantitative targeted proteomics vs. Controls without cancer was evaluated on Adjudicated cancer diagnosis during 12-month follow-up (c-statistic 0.78, 95% CI 0.70-0.87). A multivariable model of 10 differentially abundant plasma proteins identified occult cancer in patients with unprovoked VTE with an optimism-adjusted c-statistic of 0.78 (95% CI, 0.70-0.87).
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