Sandblom Gabriel, Ladjevardi Sam, Garmo Hans, Varenhorst Eberhard
Department of Surgery, University Hospital, Lund, Sweden.
Cancer. 2008 Feb 15;112(4):813-9. doi: 10.1002/cncr.23235.
To evaluate the predictive value of prostate-specific antigen (PSA) in a population-based cohort, the authors analyzed relative survival in all men with localized prostate cancer who were registered in the Swedish National Prostate Cancer Register (NPCR) from 1996 to 2005.
All men aged <75 years with localized tumors were identified in the NPCR. A Poisson regression analysis was performed using observed death as response and the expected death rate as offset. The expected and observed numbers of survivors were calculated with stratification for PSA level and 3 categories of tumor differentiation (Gleason score 2-6, 7, and 8-10). The regression model included PSA as linear splines with a breakpoint at a PSA level of 4 ng/mL and with tumor differentiation as a categoric variable.
The Poisson regression analysis indicated a U-shaped curve for all 3 groups, with a negative correlation between PSA and relative survival in men with PSA levels <4 ng/mL and a positive correlation for men with PSA levels >4 ng/mL. The correlation was significant for all 3 groups, but the negative correlation between PSA and relative survival was significantly more pronounced in the group with Gleason scores from 8 to 10 than in the other 2 Gleason score groups.
The demonstration of an inverse correlation between PSA level and relative survival in the group of men with PSA levels <4 ng/mL indicated the presence of a small but clinically important subgroup with undifferentiated tumors who have cells that have lost the ability to secrete PSA. This group should be taken into consideration when deciding on treatment and when choosing a cutoff level in PSA screening programs.
为了评估前列腺特异性抗原(PSA)在基于人群的队列中的预测价值,作者分析了1996年至2005年在瑞典国家前列腺癌登记处(NPCR)登记的所有局限性前列腺癌男性患者的相对生存率。
在NPCR中识别出所有年龄<75岁的局限性肿瘤男性患者。采用泊松回归分析,以观察到的死亡数作为反应变量,预期死亡率作为偏移量。根据PSA水平和3类肿瘤分化程度(Gleason评分2 - 6、7和8 - 10)进行分层,计算预期和观察到的存活者数量。回归模型将PSA作为线性样条,断点为PSA水平4 ng/mL,并将肿瘤分化作为分类变量。
泊松回归分析表明,所有3组均呈U形曲线,PSA水平<4 ng/mL的男性患者中,PSA与相对生存率呈负相关,而PSA水平>4 ng/mL的男性患者中,PSA与相对生存率呈正相关。所有3组的相关性均显著,但Gleason评分为8至10的组中,PSA与相对生存率之间的负相关性明显比其他2个Gleason评分组更为显著。
PSA水平<4 ng/mL的男性患者组中,PSA水平与相对生存率呈负相关,这表明存在一个虽小但具有临床重要性的未分化肿瘤亚组,其细胞已丧失分泌PSA的能力。在决定治疗方案和选择PSA筛查项目的临界值时,应考虑这一亚组。