ArticleBMC cancer2021
Significance of coagulation and fibrinolysis markers for benign and malignant soft tissue tumors.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 12 citations in OpenAlex.
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- D-Dimer Dynamics as a Prognostic and Monitoring Biomarker in Triple-Negative and Metastatic Breast Cancer: A Narrative Review.Breast cancer (Dove Medical Press) · 2026Review
- DR-70 (fibrinogen-fibrin degradation products) as a prognostic biomarker in dogs with neoplasms.The veterinary quarterly · 2024Article
- A single-center study of reference intervals for TAT, PIC, TM and t-PAIC in healthy older Chinese adults.Thrombosis journal · 2024Article
- Atherosclerosis-related biomarker PABPC1 predicts pan-cancer events.Stroke and vascular neurology · 2024Article
- Venous Thromboembolic Event Following Soft Tissue Sarcoma Diagnosis is Associated with the Development of Pulmonary Metastasis.Annals of surgical oncology · 2023Article
- Do coagulation or fibrinolysis reflect the disease condition in patients with soft tissue sarcoma?BMC cancer · 2022Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe intimate relationship between coagulation and fibrinolysis in malignant tumors is a well-known phenomena, with the malignant phenotype enhancing coagulation and fibrinolysis. We hypothesized that soft tissue sarcoma (STS) affects the expression of coagulation and fibrinolysis markers, which could be used to distinguish STS from benign soft tissue tumors. We analyzed the correlations between plasma levels of D-dimer (DD), plasmin-α2 plasmin inhibitor complex (PIC), soluble fibrin (SF), and thrombin-antithrombin III complex (TAT) in benign soft tissue tumors and STS to elucidate whether these markers can be used to predict STS.
methodsPlasma DD, PIC, SF and TAT levels in primary soft tissue tumors (benign 67, STS 68) were measured before biopsy or treatment. The marker levels were analyzed and compared to various clinicopathological parameters.
resultsIn malignancy (STS), the average DD, PIC and SF levels were significantly higher than in benign tumors. Multivariate logistic analysis of continuous variables indicated that only PIC exhibited a significant difference (OR: 24.5, 95%CI: 3.55-170, p = 0.0012). Receiver operating characteristic curve analysis produced area under the curve values for DD: 0.691, PIC: 0.784, SF: 0.734 and TAT: 0.588. Youden's index was used to establish thresholds of 0.37 (DD), 0.80 (PIC), 0.90 (SF) and 0.82 (TAT). Threshold values for PIC and SF indicated high specificity (0.881, 0.791) and high positive predictive value (0.818, 0.745), respectively. The highest accuracy value among the markers was observed for PIC (0.704). Significant differences in multivariate analysis of binary variables were demonstrated by categorizing low and high groups based on their threshold, PIC (≥0.80) (OR: 3.36, 95%CI: 1.19-9.43, p = 0.0212) and SF (≥0.90) (OR: 2.63, 95%CI: 1.04-6.66, p = 0.0404) .
conclusionsOf the coagulation and fibrinolysis markers studied, increased PIC levels were related to STS and over 0.80 PIC was the most suitable for the prediction of STS, which, along with other diagnostic tools, represents a helpful subsidiary tool for the prediction of STS.
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