| Literature DB >> 26628213 |
Jin Huang1, Kathleen H Reilly2, Hui-Zhen Zhang3, Hai-Bo Wang4.
Abstract
BACKGROUND: Prostate cancer is the second most common diagnosed cancer in men. Due to the low specificity of current diagnosis methods for detecting prostate cancer, identification of new biomarkers is highly desirable. The study was conducted to determine the clinical utility of the prostate cancer gene 3 (PCA3) assay to predict biopsy-detected cancers in Chinese men.Entities:
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Year: 2015 PMID: 26628213 PMCID: PMC4666051 DOI: 10.1186/s12894-015-0110-x
Source DB: PubMed Journal: BMC Urol ISSN: 1471-2490 Impact factor: 2.264
The characteristics of the study population
| Prostate cancer | BPHa |
| |
|---|---|---|---|
| Age (Years)b | 71.00 ± 11.00 | 67.00 ± 13.00 | 0.12 |
| PSA(ng/ml)b | 15.54 ± 39.21 | 8.70 ± 5.78 | <0.01 |
| PCA3 score | 111.37 ± 278.26 | 17.76 ± 72.71 | <0.01 |
| <35 | 22 (19.6) | 15 (62.5) | <0.01 |
| ≥35 | 90 (80.4) | 9 (37.5) | |
| % free PSAb | 0.12 ± 0.08 | 0.18 ± 0.17 | 0.03 |
| Biopsy Gleason score | |||
| ≤7 | 75 (67.0) | ||
| ≥8 | 37 (33.0) |
aBPH, benign prostatic hyperplasia
bMedian ± interquartile range
Fig. 1ROC curve of PCA3 score and PSA for detecting prostate cancer. PCA3: prostate cancer gene 3; PSA: prostate-specific antigen. ROC: receiver operating characteristic
Sensitivity and specificity of the PCA3 score and PSA
| % Sensitivity (95 % CI) | % Specificity (95 % CI) | |
|---|---|---|
| PCA3 score cutoff 20 | 83.0 (74.8–89.5) | 58.3 (36.6–77.9) |
| PCA3 score cutoff 35 | 80.4 (71.8–87.3) | 62.5 (40.6–81.2) |
| PSA cutoff 4 | 95.5 (89.9–98.5) | 16.7 (4.7–37.4) |
| PSA cutoff 10 | 71.4 (62.1–79.6) | 58.3 (36.6–77.9) |
Univariate and multivariate logistic regression analyses in predicting prostate cancer detection upon prostate biopsy
| OR (95 % CI) |
| |
|---|---|---|
| Univariate logistic regression model | ||
| Age | 1.05 (0.99–1.11) | 0.14 |
| % free PSA | 1.22 (0.75–1.98) | 0.43 |
| PSA level (ng/ml) | ||
| <4 | 1.0 | |
| 4 ~ 10 | 2.16 (0.48–9.70) | 0.31 |
| >10 | 6.40 (1.47–27.83) | 0.01 |
| PCA3 score | ||
| <35 | 1.0 | |
| ≥35 | 6.82 (2.64–17.61) | <0.01 |
| Multivariate logistic regression model | ||
| PSA level 4 ~ 10 ng/ml | 2.66 (0.50–14.08) | 0.25 |
| PSA level >10 ng/ml | 6.99 (1.38–35.33) | 0.02 |
| PCA3 score ≥35 | 6.73 (2.49–18.14) | <0.01 |