Objective. It has been well elucidated that multiple types of cancers are at high risk of thrombosis. Several studies have indicated the prognostic value of fibrinogen (Fib) and D-dimer (DD) in prostate cancer (PCa). However, it remains unclear regarding the association of the comprehensive coagulation markers with the clinicopathological features of PCa. Methods. A total of 423 pathologically diagnosed patients with PCa were consecutively collected and stratified as low-intermediate-risk or high-risk groups. The association of coagulation parameters including Fib, DD, prothrombin (PT), activated partial thromboplastin time (APTT), thrombin time (TT), and antithrombin III (AT-III) with clinicopathological features was determined by univariate and multivariate logistic regression analyses. Results. The levels of Fib, DD, and PT were significantly higher in the high-risk group (, , and , resp.), while APTT, TT, and AT-III were similar between two groups (, all). Univariate logistic regression analysis demonstrated that Fib, DD, and PT were all positively correlated with high-risk PCa (, ; , ; , ). Nonetheless, after adjusting for PSA, grade, and stage, Fib (T3 vs. T1, , 95% CI: 1.725-133.959, ) but not DD or PT was the unique independent factor associated with high-risk PCa in the multivariate regression analysis. Conclusions. Our study firstly revealed that Fib but other coagulation markers was independently associated with the severity of PCa, suggesting Fib might be useful in PCa risk stratification beyond PSA, stage, and grade.

中文翻译：

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全身凝血标志物，尤其是纤维蛋白原与经直肠超声引导下前列腺活检患者前列腺癌的侵袭性密切相关

客观。已经很好地阐明了多种类型的癌症具有血栓形成的高风险。多项研究表明纤维蛋白原 (Fib) 和 D-二聚体 (DD) 在前列腺癌 (PCa) 中的预后价值。然而，关于综合凝血标志物与 PCa 临床病理学特征的关联仍不清楚。方法。连续收集了 423 名病理诊断为 PCa 的患者，并将其分层为低中危或高危组。通过单变量和多变量逻辑回归分析确定凝血参数包括 Fib、DD、凝血酶原 (PT)、活化部分凝血活酶时间 (APTT)、凝血酶时间 (TT) 和抗凝血酶 III (AT-III) 与临床病理学特征的关联。结果。高危组的 Fib、DD 和 PT 水平显着升高（, ,和，分别），而两组之间的 APTT、TT 和 AT-III 相似（,全部）。单因素逻辑回归分析表明，Fib、DD 和 PT 均与高危 PCa 呈正相关（, ; , ; , ）。尽管如此，在调整 PSA、分级和分期后，Fib（T3 与 T1，, 95% CI: 1.725-133.959,)但不是 DD 或 PT 是多元回归分析中与高风险 PCa 相关的唯一独立因素。结论。我们的研究首先揭示了 Fib 和其他凝血标志物与 PCa 的严重程度独立相关，这表明 Fib 可能在 PSA、分期和分级之外的 PCa 风险分层中有用。