Evidence map›Paper›PMID 41350993›Full record

ArticleBMC urology2025

Preoperative predictors about lymph node metastasis and biochemical recurrence in high-risk prostate cancer patients: a clinic pathological retrospective study.

Chuanyu Wang, Guipeng Wang, Lihua Xiao, Haotian Du, Youcheng Xu, Shengxian Li, Xuecheng Yang

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Article in BMC urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Chuanyu WangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Guipeng WangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Lihua XiaoDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Haotian DuDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Youcheng XuDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Shengxian LiDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China. Lishengxian@qdu.edu.cn.
Xuecheng YangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China. m18661805062@163.com.

Funding

National Natural Science Foundation of China Grant 82404089the Natural Science Foundation of Shandong Province ZR2024MH105the Natural Science Foundation of Shandong Province ZR2024QH266
6 · The paper itself

Abstract

objectiveTo explore the predictive value of the ratio of high grade cores and other preoperative factors in predicting lymph node metastasis and biochemical recurrence (BCR) in high-risk prostate cancer patients. PATIENTS AND

methodsThis retrospective research was focus on high-risk prostate cancer patients that undergoing RP and PLND at The Affiliated Hospital of Qingdao University between January 2018 and March 2023 (n=99). Firth regression was employed to identify predictive factors for lymph node metastasis, and receiver operating characteristic (ROC) curves with area under the curve (AUC) and maximum Youden index were used to assess model performance; ROC differences were compared using the DeLong test. Biochemical recurrence (BCR)-free survival was estimated by the Kaplan–Meier method, and Cox regression analysis evaluated the impact of preoperative factors on BCR.Statistical significance was set at two-sided p < 0.05.

resultsAmong 99 patients, 19.6% had lymph node metastasis. Univariable analysis identified cTstage (p=0.031), FPSA(p=0.038) and the ratio of high grade cores (p < 0.001) as significant predictors; however, only the ratio of high grade cores remained significant in the firth regression model (p < 0.001), Chi-square testing further demonstrated that a ratio of high grade cores >50% had a correlation coefficient of 0.55 with lymph node metastasis (p < 0.001). Regarding BCR analysis, a total of 74 patients completed follow-up, Cox regression analysis indicated that a ratio of high grade cores >0.3 (p < 0.001),PI-RADS score = 5 (p=0.036) was a significant predictor of BCR (p < 0.001). Logistic regression analysis further demonstrated that the ratio of high grade cores was significantly associated with BCR within 12 months (p = 0.014).

conclusionsThe ratio of high grade cores is an independent preoperative predictor of both lymph node metastasis and BCR in prostate cancer patients. Specifically, a ratio of high grade cores >50% showed a correlation with lymph node metastasis (r = 0.55, p < 0.001), while a ratio of high grade cores >0.3 was significantly associated with BCR.

Indexed as

Lymphatic MetastasisNeoplasm Recurrence, LocalProstatic NeoplasmsAgedHumansMaleMiddle AgedPredictive Value of TestsPreoperative PeriodProstate-Specific AntigenRetrospective StudiesRisk AssessmentProstate-Specific AntigenBiochemical recurrenceLymph node metastasisPrognostic factorsProstate cancerRatio of high grade cores

Identifiers

PMID41350993
PMCPMC12797792

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