Jiunn-Bey Pao

Polymorphisms inside MicroRNAs and MicroRNA Target Sites Predict Clinical Outcomes in Prostate Cancer Patients Receiving Androgen-Deprivation Therapy

Purpose: Recent evidence indicates that small noncoding RNA molecules, known as microRNAs (miRNAs), are involved in cancer initiation and progression. We hypothesized that genetic variations in miRNAs and miRNA target sites could be associated with the efficacy of androgen-deprivation therapy (ADT) in men with prostate cancer. Experimental Design: We systematically evaluated 61 common single nucleotide polymorphisms (SNPs) inside miRNAs and miRNA target sites in a cohort of 601 men with advanced prostate cancer treated with ADT. The prognostic significance of these SNPs on disease progression, prostate cancer-specific mortality (PCSM) and all-cause mortality (ACM) after ADT were assessed by Kaplan–Meier analysis and Cox regression model. Results: Four, seven, and four SNPs were significantly associated with disease progression, PCSM, and ACM, respectively, after ADT in univariate analysis. KIF3C rs6728684, CDON rs3737336, and IFI30 rs1045747 genotypes remained as significant predictors for disease progression; KIF3C rs6728684, PALLD rs1071738, GABRA1 rs998754, and SYT9 rs4351800 remained as significant predictors for PCSM; and SYT9 rs4351800 remained as a significant predictor for ACM in multivariate models that included clinicopathologic predictors. Moreover, strong combined genotype effects on disease progression and PCSM were also observed. Patients with a greater number of unfavorable genotypes had a shorter time to progression and worse prostate cancer-specific survival during ADT (P for trend < 0.001). Conclusion: SNPs inside miRNAs and miRNA target sites have a potential value to improve outcome prediction in prostate cancer patients receiving ADT. Clin Cancer Res; 17(4); 1–9. ©2010 AACR.

Genetic polymorphisms in androgen receptor-binding sites predict survival in prostate cancer patients receiving androgen-deprivation therapy

BACKGROUND Activated androgen receptor binds to androgen-responsive elements (AREs) in genome to regulate target gene transcription and, consequently, mediates physiological or tumorigenic processes of the prostate. Our aim was to determine whether genetic variants in AREs are associated with clinical outcomes after androgen-deprivation therapy (ADT) in prostate cancer patients. PATIENTS AND METHODS We systematically investigated 55 common single-nucleotide polymorphisms (SNPs) in the genome-wide insilico-predicted AREs in a cohort of 601 men with advanced prostate cancer treated with ADT. The prognostic significance of these SNPs on disease progression, prostate cancer-specific mortality (PCSM) and all-cause mortality (ACM) after ADT was assessed by Kaplan-Meier analysis and Cox regression model. RESULTS In univariate analysis, two, five, and four SNPs were associated with disease progression, PCSM, and ACM, respectively. After adjusting for known prognostic factors, ARRDC3 rs2939244, FLT1 rs9508016, and SKAP1 rs6504145 remained as significant predictors for PCSM and FBXO32 rs7830622 and FLT1 rs9508016 remained as significant predictors for ACM in multivariate analysis. Moreover, strong combined genotype effects on PCSM and ACM were also observed (P(trend) < 0.001). CONCLUSION Our results suggest that SNPs in AREs influence prostate cancer survival and may further advance our understanding of the disease progression.BACKGROUND Activated androgen receptor binds to androgen-responsive elements (AREs) in genome to regulate target gene transcription and, consequently, mediates physiological or tumorigenic processes of the prostate. Our aim was to determine whether genetic variants in AREs are associated with clinical outcomes after androgen-deprivation therapy (ADT) in prostate cancer patients. PATIENTS AND METHODS We systematically investigated 55 common single-nucleotide polymorphisms (SNPs) in the genome-wide insilico-predicted AREs in a cohort of 601 men with advanced prostate cancer treated with ADT. The prognostic significance of these SNPs on disease progression, prostate cancer-specific mortality (PCSM) and all-cause mortality (ACM) after ADT was assessed by Kaplan-Meier analysis and Cox regression model. RESULTS In univariate analysis, two, five, and four SNPs were associated with disease progression, PCSM, and ACM, respectively. After adjusting for known prognostic factors, ARRDC3 rs2939244, FLT1 rs9508016, and SKAP1 rs6504145 remained as significant predictors for PCSM and FBXO32 rs7830622 and FLT1 rs9508016 remained as significant predictors for ACM in multivariate analysis. Moreover, strong combined genotype effects on PCSM and ACM were also observed (Ptrend < 0.001). CONCLUSION Our results suggest that SNPs in AREs influence prostate cancer survival and may further advance our understanding of the disease progression.

Genetic polymorphisms in oestrogen receptor-binding sites affect clinical outcomes in patients with prostate cancer receiving androgen-deprivation therapy

Abstract.  Huang C‐N, Huang S‐P, Pao J‐B, Hour T‐C, Chang T‐Y, Lan Y‐H, Lu T‐L, Lee H‐Z, Juang S‐H, Wu P‐P, Huang C‐Y, Hsieh C‐J, Bao B‐Y (Kaohsiung Medical University Hospital, Kaohsiung; Kaohsiung Medical University, Kaohsiung; Taipei City Hospital, Taipei; Kaohsiung Medical University, Kaohsiung; China Medical University, Taichung; National Taiwan University Hospital; Oriental Institute of Technology; National Taiwan University, Taipei; China Medical University Hospital, Taichung, Taiwan). Genetic polymorphisms in oestrogen receptor‐binding sites affect clinical outcomes in patients with prostate cancer receiving androgen‐deprivation therapy. J Intern Med 2012; 271: 499–509.

Clinical significance of runt-related transcription factor 1 polymorphism in prostate cancer

What’s known on the subject? and What does the study add?

Individual and cumulative association of prostate cancer susceptibility variants with clinicopathologic characteristics of the disease.

BACKGROUND Recent genome-wide association studies have identified several independent single nucleotide polymorphisms (SNPs) strongly associated with prostate cancer (PCa) risk. However, their individual and cumulative associations with clinicopathologic characteristics of the disease remain inconclusive. METHODS We systematically evaluated 20 PCa risk SNPs in a cohort of 320 localized PCa patients receiving radical prostatectomy, and the associations of these variants with age at diagnosis, preoperative prostate-specific antigen concentration, Gleason score, pathologic stage, surgical margin, and lymph node metastasis were evaluated. RESULTS Eight SNPs, rs10486567 at 7p15, rs6465657 at 7q21, rs6983267, rs1447295, and rs4242382 at 8q24, 10993994 at 10q11, rs4430796 at 17q12, and rs266849 at 19q13, were significantly (P< or =0.048) associated with some specific clinicopathologic features. In combination of these 8 SNPs, men who carried 4 or 5, or more than 5 unfavorable alleles had an increasing likelihood of adverse clinicopathologic features, as compared with men who carried fewer than 4 unfavorable alleles (P for trend, 0.031, <0.001, 0.006, and 0.003, for Gleason scores 8-10, advanced pathologic stage, positive surgical margin, and lymph node metastasis, respectively). CONCLUSIONS Our results suggested that loci associated with PCa risk might also have a cumulative and significant association with disease aggressiveness.

Significant associations of prostate cancer susceptibility variants with survival in patients treated with androgen-deprivation therapy

Androgen‐deprivation therapy (ADT) is the most common therapy for advanced prostate cancer, but the prognosis significantly differs among individuals. In this study, we evaluated recently identified 19 prostate cancer susceptibility variants as prognostic predictors for the survival after ADT. A total of 601 prostate cancer patients treated with ADT were enrolled in this study cohort. The prognostic significance of the prostate cancer risk variants on disease progression, prostate cancer‐specific mortality (PCSM) and all‐cause mortality (ACM) after ADT were assessed by Kaplan–Meier analysis and Cox regression model. Two polymorphisms, rs16901979 and rs7931342, were significantly associated with PCSM (p = 0.005 for rs16901979 and p = 0.038 for rs7931342), and rs16901979 was also associated with ACM (p = 0.003) following ADT. Although the effect of rs7931342 was attenuated after controlling for other known clinical prognostic factors, rs16901979 remained a significant predictor for PCSM and ACM after ADT (p = 0.002). Moreover, the addition of the rs16901979 status in current clinical staging system further enhanced the risk prediction on PCSM and ACM particularly for the high‐risk patients with distant metastasis (p < 0.017). In conclusion, this is the first study showing that prostate cancer risk variants, such as rs16901979, might improve outcome prediction following ADT, thus allowing identification of high‐risk patients who might benefit from appropriate adjuvant therapy.

Common genetic variants in Wnt signaling pathway genes as potential prognostic biomarkers for colorectal cancer.

Compelling evidence has implicated the Wnt signaling pathway in the pathogenesis of colorectal cancer. We assessed the use of tag single nucleotide polymorphisms (tSNPs) in adenomatous polyposis coli (APC)/β-catenin (CTNNB1) genes to predict outcomes in patients with colorectal cancer. We selected and genotyped 10 tSNP to predict common variants across entire APC and CTNNB1 genes in 282 colorectal cancer patients. The associations of these tSNPs with distant metastasis-free survival and overall survival were evaluated by Kaplan-Meier analysis, Cox regression model, and survival tree analysis. The 5-year overall survival rate was 68.3%. Survival tree analysis identified a higher-order genetic interaction profile consisting of the APC rs565453, CTNNB1 2293303, and APC rs1816769 that was significantly associated with overall survival. The 5-year survival overall rates were 89.2%, 66.1%, and 58.8% for the low-, medium-, and high-risk genetic profiles, respectively (log-rank P = 0.001). After adjusting for possible confounders, including age, gender, carcinoembryonic antigen levels, tumor differentiation, stage, lymphovascular invasion, perineural invasion, and lymph node involvement, the genetic interaction profile remained significant. None of the studied SNPs were individually associated with distant metastasis-free survival and overall survival. Our results suggest that the genetic interaction profile among Wnt pathway SNPs might potentially increase the prognostic value in outcome prediction for colorectal cancer.

Genetic Variants in CASP3, BMP5, and IRS2 Genes May Influence Survival in Prostate Cancer Patients Receiving Androgen-Deprivation Therapy

Several genome-wide association studies (GWAS) have been conducted to identify the common single nucleotide polymorphisms (SNPs) that influence the risk of prostate cancer. It was hypothesized that some prostate cancer-associated SNPs might relate to the clinical outcomes in patients treated for prostate cancer using androgen-deprivation therapy (ADT). A cohort of 601 patients who have received ADT for prostate cancer was genotyped for 29 SNPs that have been associated with prostate cancer in Cancer Genetic Markers of Susceptibility GWAS, and within the genes that have been implicated in cancer. Prognostic significance of these SNPs on the disease progression, prostate cancer-specific mortality (PCSM) and all-cause mortality (ACM) after ADT were assessed by Kaplan-Meier analysis and Cox regression model. Three SNPs, namely CASP3 rs4862396, BMP5 rs3734444 and IRS2 rs7986346, were found to be closely associated with the ACM (P≤0.042), and BMP5 rs3734444 and IRS2 rs7986346 were also noted to be significantly related to the PCSM (P≤0.032) after adjusting for the known clinicopathologic predictors. Moreover, patients carrying a greater number of unfavorable genotypes at the loci of interest had a shorter time to ACM and PCSM during ADT (P for trend <0.001). Our results suggest that CASP3 rs4862396, BMP5 rs3734444 and IRS2 rs7986346 may affect the survival in patients after ADT for prostate cancer, and the analysis of these SNPs can help identify patients at higher risk of poor outcome.

Genetic Polymorphisms of Matrix Metalloproteinases and Clinical Outcomes in Colorectal Cancer Patients

Background: Colorectal cancer metastasis is a multistep process involving degradation of extracellular matrix components by proteolytic enzymes. Among them, matrix metalloproteinases (MMPs) are the principal degrading enzymes and their expressions/activities are also correlated with survival. Much research has showed the associations between genetic polymorphisms in MMPs and risk of colorectal cancer; however, their prognostic significance has not been well determined. Methods: We selected and genotyped 4 cancer-associated single nucleotide polymorphisms (SNPs) in a cohort of 282 colorectal cancer patients. The associations of these SNPs with distant metastasis-free survival and overall survival were evaluated by Kaplan-Meier analysis, Cox regression model, and survival tree analysis. Results: The relative risks of developing distant metastasis after curative surgery were higher in individuals with minor homozygote AA genotype than in those with GG/GA genotypes at MMP2 rs243866 (P = 0.012). Survival tree analysis also identified a higher-order genetic interaction profile consisting of MMP2 rs243866 and MMP2 rs2285053 that was significantly associated with distant metastasis-free survival (Ptrend = 0.016). After adjusting for possible confounders, the genetic interaction profile remained significant (Ptrend = 0.050). Conclusions: These results suggest that genetic variations in the MMP2 might be potential predictors of distant metastasis-free survival after curative surgery.

Genetic variants in ultraconserved regions associate with prostate cancer recurrence and survival.

Ultraconserved regions (UCRs) are DNA segments of longer than 200 bp in length that are completely conserved between human, rat, and mouse genomes. Recent studies have shown that UCRs are frequently located at fragile sites involved in cancers, and their levels of transcription can be altered during human tumorigenesis. We systematically evaluated 14 common single-nucleotide polymorphisms (SNPs) within UCRs in three cohorts of prostate cancer patients, to test the hypothesis that these UCR SNPs might influence clinical outcomes. Examination using multivariate analysis adjusted for known clinicopathologic factors found association between rs8004379 and recurrence in localized disease [hazard ratio (HR) 0.61, 95% confidence interval (CI) 0.41–0.91, P = 0.015], which was confirmed in the replication set (HR 0.70, 95% CI 0.51–0.96, P = 0.027). Remarkably, a consistent association of rs8004379 with a decreased risk for prostate cancer-specific mortality was also observed in the advanced prostate cancer patient group (HR 0.48, 95% CI 0.32–0.70, P < 0.001). Additional in silico analysis suggests that rs8004379 tends to affect NPAS3 expression, which in turn was found to be correlated with patient prognosis. In conclusion, our findings suggest that SNPs within UCRs may be valuable prognostic biomarkers for assessing prostate cancer treatment response and survival.