| Literature DB >> 23189170 |
Rong Na1, Haowen Jiang, Seong-Tae Kim, Yishuo Wu, Shijun Tong, Limin Zhang, Jianfeng Xu, Yinghao Sun, Qiang Ding.
Abstract
BACKGROUND: Prostate-specific antigen (PSA) screening is growing in popularity in China, but its impact on biopsy characteristics and outcomes are poorly understood.Entities:
Mesh:
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Year: 2012 PMID: 23189170 PMCID: PMC3506536 DOI: 10.1371/journal.pone.0049914
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristic table of prostate biopsies performed from 2003–2011 in Huashan Hospital, Shanghai, China.
| 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | P-trend | All cases | |
| No. of biopsies | 58 | 85 | 268 | 294 | 180 | 186 | 196 | 175 | 208 | / | 1650 |
| PCa (%) | 74. | 60 | 50 | 43 | 46 | 39 | 42 | 50 | 33 | 0.004 | 47 |
| Gleason score≥8 (%) | — | 50 | 61 | 51 | 46 | 42 | 32 | 40 | 27 | 2.08E-07 | 44 |
| Age of entire group (SD) (Yr) | 72.02 (7.22) | 71.09 (8.76) | 70.07 (8.02) | 71.25 (7.99) | 71.81 (9.15) | 71.65 (8.48) | 71.98 (9.15) | 70.27 (9.17) | 71.66 (9.32) | / | 71.24 (8.65) |
| Age of PCa group (SD) (Yr) | 71.65 (7.42) | 72.49 (8.25) | 71.13 (7.69) | 72.95 (7.84) | 72.41 (9.2) | 72.82 (8.86) | 75.69 (7.93) | 72.89 (8.64) | 74.72 (8.24) | 0.040 | 72.96 (8.30) |
| Age of non-PCa group (SD) (Yr) | 73.07 (7.76) | 69.00 (9.21) | 68.99 (8.22) | 69.99 (7.89) | 71.31 (9.13) | 70.88 (8.17) | 69.35 (9.08) | 67.68 (8.98) | 69.13 (9.42) | / | 69.76 (8.69) |
| tPSA° (SD) (ng/mL) | 52.67 (3.44) | 62.04 (3.07) | 48.96 (2.42) | 51.76 (2.33) | 76.81 (5.22) | 47.86 (3.95) | 56.5 (4.24) | 56.67 (4.13) | 42.72 (4.23) | 0.470 | 53.55 (3.54) |
| fPSA/tPSA (SD) | 0.15 (0.17) | 0.19 (0.21) | 0.2 (0.16) | 0.2 (0.16) | 0.12 (0.08) | 0.12 (0.08) | 0.12 (0.07) | 0.13 (0.07) | 0.12 (0.09) | 1.11E-05 | 0.15 (0.13) |
| Prostate Volume° (SD) (mL) | 39.37 (1.57) | 42.75 (1.62) | 43.65 (1.66) | 43.35 (1.64) | 46.08 (1.63) | 41.91 (1.53) | 41.27 (1.6) | 45.54 (1.64) | 41.21 (1.61) | 0.301 | 43.05 (1.62) |
| Nodule (%) | 85.29 | 76.67 | 80.18 | 81.9 | 86.76 | 81.82 | 84.21 | 80.72 | 75.58 | 0.507 | 81.34 |
No Data about Gleason Scores was available in 2003.
Figure 1The percentage of tPSA levels over 20 ng/mL in PCa patients.
There was a significant decrease in the percentage of tPSA levels over 20 ng/mL in PCa patients from 2003 to 2010 (P = 2.26×10−5).
Figure 2Trends of Gleason Score ≤6, = 7, ≥8 Groups over the years.
The percentage of ≥8 group trend to go downwards from 50% in 2004 to 27% in 2011 (P = 2.08×10−7).
Univariate analysis (testing the association between each variable and PCa).
| Age(Mean(SD)) | tPSA | fPSA/tPSA | Volume(mL) | Nodule(%) | DRE(%) | |
| PCa | 72.94(8.30) | 53.61(3.55) | 0.15(0.13) | 43.06(1.62) | 81.24 | 56.85 |
| non-PCa | 69.76(8.69) | 11.9(2.22) | 0.19(0.12) | 54.3(1.57) | 40.58 | 10.43 |
| P-value (PCa vs. non-PCa) | 2.02E-13 | 6.05E-85 | 2.56E-06 | 2.81E-20 | 1.69E-51 | 2.65E-81 |
| OR(95%CI) | 1.05 (1.03–1.06) | 4.81 (4.11–5.63) | 0.08 (0.03–0.23) | 0.34 (0.27–0.43) | 6.34 (4.99–8.06) | 12.9 (9.89–16.7) |
| AUC | 0.610 | 0.847 | 0.663 | 0.645 | 0.703 | 0.751 |
The tPSA and fPSA values are antilogarithmic when calculating P-value, OR and AUC.
Performance of tPSA only and Multivariate model for predicting PCa and high grade PCa in different stratification.
| Group | Model | PCa | High Grade PCa (Gleason Score≥8) |
| AUC (Area Under the Curve) | |||
| Total men (PCa: 774 vs. non-PCa: 876) (High grade PCa: 290) | tPSA only | 0.85 | 0.62 |
|
| 0.93 | 0.66 | |
|
| 0.93 | 0.67 | |
| Men with tPSA<20 ng/mL (PCa:198 vs. non-PCa: 692) (High grade PCa: 58) | tPSA only | 0.62 | 0.54 |
| Multivariate Model 1 | 0.86 | 0.63 | |
| Multivariate Model 2 | 0.87 | 0.63 | |
| Men with tPSA<10 ng/mL (PCa:59 vs. non-PCa:325) (High grade PCa: 18) | tPSA only | 0.57 | 0.92 |
| Multivariate Model 1 | 0.87 | 0.87 | |
| Multivariate Model 2 | 0.87 | 0.94 | |
Multivariate Model 1: Modeling by using 5 variables: age, logarithm of tPSA, logarithm of prostate volume, result of DRE, result of transrectal ultrasound.
Multivariate Model 2: Modeling by using 6 variables: age, logarithm of tPSA, fPSA/tPSA, logarithm of prostate volume, result of DRE, result of transrectal ultrasound.
-The tPSA and fPSA values are antilogarithmic when calculating AUC.
Figure 3Probability of having prostate cancer with increasing PSA in biopsy population.
The probability of having prostate cancer when undertaking prostate biopsy is raised from nearly 0% with tPSA<1.0 ng/mL to nearly 31% with tPSA = 50 ng/mL according to our study population. This figure can be use to predict the probability with tPSA level in the future.
Different sensitivities and specificities in different tPSA cutoff level.
| Sensitivity (%) | Specificity (%) | ||
| Cutoff tPSA value (ng/mL) | 4 | 99.7 | 4.4 |
| 10 | 92.4 | 37.3 | |
| 12 | 88.4 | 52.9 | |
| 15 | 82.7 | 67.5 | |
| 20 | 74.3 | 79.4 | |