Suppr超能文献

[Prediction of the stage of patients with prostate cancer by the combination of serum prostate specific antigen and Gleason score].

作者信息

Song Gang, Zhou Li-qun, He Zhi-song, Li Ning-chen, Li Ming, Hao Jin-rui, Pan Bai-nian, Na Yan-qun

机构信息

Department of Urology, the First Hospital of Peking University, Institute of Urology, Peking University, Beijing 100034, China.

出版信息

Zhonghua Wai Ke Za Zhi. 2006 Mar 15;44(6):376-8.

Abstract

OBJECTIVE

To explore the method of predicting the stage of prostate cancer with serum prostate-specific antigen (PSA) and pathological grade.

METHODS

One hundred and eighty-seven patients were studied retrospectively with prostate cancer diagnosed by systemic biopsy in our hospital. The rank correlation analysis, rank sum test and stepwise discriminant multivariate analysis were used to assess the correlation of serum PSA level, ratio of free PSA to total PSA (FPSA/TPSA ratio) with Gleason score (GS) and stage.

RESULTS

Serum PSA level increased with GS for prostate cancer patients (r = 0.369, P < 0.001). With increasing stage, serum PSA level and GS increased (r = 0.398, 0.530, P < 0.001). Overall, FPSA/TPSA ratio was not correlated with stage (P > 0.70), but a significant negative correlation was demonstrated between them when serum PSA < or = 10 microg/L (r = -0.600, P < 0.05). When serum PSA > 20 microg/L, 67% - 87% patients with prostate cancer may be stage C or D. The equation using serum PSA and GS to predict the stage of patients with prostate cancer was: x = -3.488 + 0.041 x PSA + 0.428 x GS.

CONCLUSIONS

Serum PSA level is positively correlated with GS for prostate cancer patients. Serum PSA level and GS are positively correlated with stage. A negative correlation between FPSA/TPSA ratio and stage is demonstrated when serum PSA < or = 10 microg/L. The combination of serum PSA and GS may predict the stage of patients with prostate cancer.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验