PDF(Pubmed)
Abstract：
UNASSIGNED: Locally advanced prostate cancer (PCa) carries a high risk of recurrence and metastasis after surgery, and the prognosis is poor. We explored the risk factors for locally advanced PCa among clinical factors (neutrophil: lymphocyte ratio, lymphocyte: monocyte ratio) and indicators of systemic inflammation [prostate-specific antigen (PSA) level, Gleason score, body mass index (BMI)] through retrospective evaluation of patients with PCa diagnosed at our center. The pathologic T stage was a key indicator of locally advanced PCa.
UNASSIGNED: Data from patients with pathologically confirmed PCa at our center from 1 January 2015 to 1 May 2020 were collected in strict accordance with inclusion and exclusion criteria. Clinical data were collected and the relationship between the indicators and the pathologic T stage was explored. First, Spearman rank correlation analysis was used to find the correlates of the pathologic T stage. Then, logistic ordered multiple regression analysis was used to identify independent risk factors. Finally, receiver operating characteristic (ROC) curves were used to assess the diagnostic accuracy for the T stage of PCa.
UNASSIGNED: After rigorous screening, the data of 177 patients were obtained. Spearman correlation analysis showed that BMI, the PSA level, Gleason score, hypertension, N stage, and M stage were significantly correlated with the T stage (P<0.05), suggesting that these factors may be involved in locally advanced PCa. Analyses of ROC curves showed that the PSA level [area under the ROC curve (AUC) =0.802] had greater value than BMI (0.675) for the diagnosis of the pathologic T stage PCa, and that a combination of BMI and PSA (combined AUC =0.822) could improve locally advanced PCa diagnosis.
UNASSIGNED: BMI and PSA are independent risk factors for locally advanced PCa. They may play a key part in locally advanced PCa.
UNASSIGNED: Data from patients with pathologically confirmed PCa at our center from 1 January 2015 to 1 May 2020 were collected in strict accordance with inclusion and exclusion criteria. Clinical data were collected and the relationship between the indicators and the pathologic T stage was explored. First, Spearman rank correlation analysis was used to find the correlates of the pathologic T stage. Then, logistic ordered multiple regression analysis was used to identify independent risk factors. Finally, receiver operating characteristic (ROC) curves were used to assess the diagnostic accuracy for the T stage of PCa.
UNASSIGNED: After rigorous screening, the data of 177 patients were obtained. Spearman correlation analysis showed that BMI, the PSA level, Gleason score, hypertension, N stage, and M stage were significantly correlated with the T stage (P<0.05), suggesting that these factors may be involved in locally advanced PCa. Analyses of ROC curves showed that the PSA level [area under the ROC curve (AUC) =0.802] had greater value than BMI (0.675) for the diagnosis of the pathologic T stage PCa, and that a combination of BMI and PSA (combined AUC =0.822) could improve locally advanced PCa diagnosis.
UNASSIGNED: BMI and PSA are independent risk factors for locally advanced PCa. They may play a key part in locally advanced PCa.
摘要：
■局部晚期前列腺癌（PCa）具有手术后复发和转移的高风险，预后较差。我们探讨了临床因素中局部晚期PCa的危险因素(中性粒细胞：淋巴细胞比率，淋巴细胞：单核细胞比率）和全身炎症指标[前列腺特异性抗原（PSA）水平，格里森得分,体重指数（BMI）]通过回顾性评估在我们中心诊断出的PCa患者。病理性T分期是局部晚期PCa的关键指标。
■严格按照纳入和排除标准收集2015年1月1日至2020年5月1日在我们中心接受病理证实的PCa患者的数据。收集临床资料，探讨指标与病理T分期的关系。首先,使用Spearman秩相关分析来找到病理T分期的相关性。然后，采用logistic有序多元回归分析确定独立危险因素.最后,受试者工作特征(ROC)曲线用于评估PCaT期的诊断准确性.
■经过严格筛选，获得了177例患者的数据。Spearman相关分析表明,PSA水平,格里森得分,高血压,N级,M分期与T分期显著相关(P<0.05),提示这些因素可能与局部晚期PCa有关。ROC曲线分析表明，PSA水平[ROC曲线下面积（AUC）=0.802]对病理T期PCa的诊断价值大于BMI（0.675）。BMI和PSA的组合（联合AUC=0.822）可以改善局部晚期PCa的诊断。
■BMI和PSA是局部晚期PCa的独立危险因素。它们可能在本地先进的PCa中起关键作用。
■严格按照纳入和排除标准收集2015年1月1日至2020年5月1日在我们中心接受病理证实的PCa患者的数据。收集临床资料，探讨指标与病理T分期的关系。首先,使用Spearman秩相关分析来找到病理T分期的相关性。然后，采用logistic有序多元回归分析确定独立危险因素.最后,受试者工作特征(ROC)曲线用于评估PCaT期的诊断准确性.
■经过严格筛选，获得了177例患者的数据。Spearman相关分析表明,PSA水平,格里森得分,高血压,N级,M分期与T分期显著相关(P<0.05),提示这些因素可能与局部晚期PCa有关。ROC曲线分析表明，PSA水平[ROC曲线下面积（AUC）=0.802]对病理T期PCa的诊断价值大于BMI（0.675）。BMI和PSA的组合（联合AUC=0.822）可以改善局部晚期PCa的诊断。
■BMI和PSA是局部晚期PCa的独立危险因素。它们可能在本地先进的PCa中起关键作用。
