Time trends in clinical risk stratification for prostate cancer: Implications for outcomes (data from CaPSURE)

被引:241
|
作者
Cooperberg, MR
Lubeck, DP
Mehta, SS
Carroll, PR
机构
[1] Univ Calif San Francisco, UCSF Mt Zion Comprehens Canc Ctr, Dept Urol, Program Urol Oncol,Urol Outcomes Res Grp, San Francisco, CA 94115 USA
[2] TAP Phamraceut Prod Inc, Lake Forest, IL USA
来源
JOURNAL OF UROLOGY | 2003年 / 170卷 / 06期
关键词
prostatic neoplasms; risk factors; prognosis; prostate-specific antigen;
D O I
10.1097/01.ju.0000095025.03331.c6
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Purpose: Many instruments designed to predict prostate cancer risk use a combination of clinical T stage, biopsy Gleason score and serum prostate specific antigen (PSA). We designed a study to characterize time trends in these parameters and their impact on patient risk stratification. Materials and Methods: Data were abstracted from CaPSURE (Cancer of the Prostate Strategic Urological Research Endeavor), a disease registry of 8,685 men with prostate cancer. The 6,260 men diagnosed since 1989 who had complete clinical information reported were categorized into low, intermediate or high risk groups based on established parameters for T stage, Gleason score and PSA. Results: Between 1989 to 1990 and 2001 to 2002 the proportion of patients presenting with high, intermediate and low risk disease changed from 40.9%, 28.0% and 31.2% to 14.8%, 37.5% and 47.7%, respectively (p<0.0001). The incidence of T1 tumors increased from 16.7% to 48.5% and that of T3-4 tumors decreased from 11.8% to 3.5%, respectively (p<0.0001). The incidence of Gleason 2 to 6 tumors decreased from 77.1% to 66.4%, while that of Gleason 7 tumors increased from 12.9% to 24.8%, respectively (p=0.0030). PSA levels 10 ng/ml or less increased from 43.6% to 77.7%, respectively, while PSA 10 to 20 and greater than 20 ng/ml decreased accordingly (p<0.0001). These trends were mirrored in subset analysis of black patients. Conclusions: A significant downward risk migration has occurred over time. Gleason score is now more likely and PSA less likely than previously to drive risk assignment. This shift is most likely attributable to changes in practice patterns with respect to screening and pathological grading. These changes should be considered when applying nomograms derived from earlier datasets to contemporary cases.
引用
收藏
页码:S21 / S25
页数:5
相关论文
共 50 条
  • [21] Quality of life after second treatment for prostate cancer:: Data from CaPSURE™
    Lubeck, DP
    Sadetsky, N
    Pasta, DJ
    Mehta, SS
    Carroll, PR
    JOURNAL OF UROLOGY, 2003, 169 (04): : 34 - 34
  • [22] Predicting recurrence following radical prostatectomy for patients with high-risk prostate cancer: Data from CaPSURE
    Grossfeld, GD
    Latini, DM
    Lubeck, DP
    Mehta, SS
    Carroll, PR
    JOURNAL OF UROLOGY, 2002, 167 (04): : 358 - 358
  • [23] Clinical implications of genomic evaluations for prostate cancer risk stratification, screening, and treatment: a narrative review
    Chung, Jae-Seung
    Morgan, Todd M.
    Hong, Sung Kyu
    PROSTATE INTERNATIONAL, 2020, 8 (03) : 99 - 106
  • [24] Use of imaging tests for staging newly diagnosed prostate cancer: Trends from the CaPSURE database
    Kindrick, AV
    Grossfeld, GD
    Stier, DM
    Flanders, SC
    Henning, JM
    Carroll, PR
    JOURNAL OF UROLOGY, 1998, 160 (06): : 2102 - 2106
  • [25] The CaPSURE database: A methodology for clinical practice and research in prostate cancer
    Lubeck, DP
    Litwin, MS
    Henning, JM
    Stier, DM
    Mazonson, P
    Fisk, R
    Carroll, PR
    UROLOGY, 1996, 48 (05) : 773 - 777
  • [26] Toward a Data Mining Approach for Risk Stratification in Prostate Cancer
    van Herk, M. B.
    McWilliam, A.
    Sanderson, B.
    Kennedy, J.
    Kershaw, L.
    West, C. M. L.
    Choudhury, A.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2016, 96 (02): : S224 - S225
  • [27] Complementary and alternative medicine use among men with prostate cancer - Data from CaPSURE
    Chan, JM
    Elkin, EP
    Silva, SJ
    Broering, JM
    Latini, DM
    Carroll, PR
    JOURNAL OF UROLOGY, 2004, 171 (04): : 123 - 124
  • [28] Impact of obesity on prostate cancer recurrence after radical prostatectomy: Data from CaPSURE
    Bassett, WW
    Cooperberg, MR
    Sadetsky, N
    Silva, S
    DuChane, J
    Pasta, DJ
    Chan, JM
    Anast, JW
    Carroll, PR
    Kane, CJ
    UROLOGY, 2005, 66 (05) : 1060 - 1065
  • [29] Validation of a comorbidity index in men with prostate cancer:: Data from the CaPSURE™ database.
    Stier, DM
    Lubeck, DP
    Greenfield, S
    Dukes, K
    Kaplan, SH
    Flanders, SC
    Henning, JM
    JOURNAL OF UROLOGY, 1998, 159 (05): : 141 - 141
  • [30] Incidence of urethral stricture after primary treatment for prostate cancer: Data from CaPSURE
    Elliott, Sean P.
    Meng, Maxwell V.
    Elkin, Eric P.
    McAninch, Jack W.
    Duchane, Janeen
    Carroll, Peter R.
    JOURNAL OF UROLOGY, 2007, 178 (02): : 529 - 534