William Zhang
University of Toronto
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by William Zhang.
Clinical Cancer Research | 2005
Robert K. Nam; William Zhang; Michael A.S. Jewett; John Trachtenberg; Laurence Klotz; Marjan Emami; Linda Sugar; Joan Sweet; Ants Toi; Steven A. Narod
Purpose: We examined a panel of 13 polymorphisms in 13 different genes to determine whether specific genotypes can help predict prostate cancer at the time of biopsy among men prescreened with prostate-specific antigen and digital rectal exam. Experimental Design: We examined 2,088 consecutive men who were referred for prostate biopsy from 1997 to 2003. Thirteen genes were examined, including TNF308, GSTT1, KLK2, endostatin, MCRA, MCRV, tyrosinase, MSR1, CHK2, RNasel, HOGG1-326, HOGG1-11657, and HRAS1. Odds ratio for detection of prostate cancer were adjusted for age, race, prostate-specific antigen, digital rectal exam, family history of prostate cancer, and urinary symptoms. Results: Of the 2,088 men, 996 (47.7%) had cancer detected. Four genes (TNF308, GSTT1, KLK2, and HOGG1-326) were significantly associated with prostate cancer. The adjusted odds ratios (OR) for prostate cancer for patients with the AA genotype of the TNF308 gene was 1.92 [95% confidence interval (95% CI), 1.0-1.5, P = 0.05], compared with those with the GG genotype, and for patients with the TT genotype of the KLK2 gene, the OR was 1.5 (95% confidence interval, 1.0-2.2, P = 0.04), compared with the CC genotype. The OR for patients with a homozygous deletion of the GSTT1 gene was 0.81 (95% CI, 0.6-1.0, P = 0.06) compared with those with the deletion, and the OR for patients with the GG genotype of the HOGG1-326 gene was 0.68 (95% CI, 0.5-1.0, P = 0.05) compared with the CC genotype. Patients who had all four alleles that were positively associated with prostate cancer had an OR of 9.33 (95% CI, 2.4-35.8, P = 0.0005) for prostate cancer compared with patients with alleles that were negatively associated with prostate cancer. Conclusions: Of the 13 polymorphisms, two were found to be positively associated with prostate cancer (TNF308 and KLK2) and two were negatively associated with prostate cancer (GSTT1 and HOGG1-326). Future studies are required to confirm these results.
Clinical Cancer Research | 2009
Robert K. Nam; William Zhang; John Trachtenberg; Arun Seth; Laurence Klotz; Aleksandra Stanimirovic; Sanoj Punnen; Vasundara Venkateswaran; Ants Toi; D. Andrew Loblaw; Linda Sugar; Katherine A. Siminovitch; Steven A. Narod
Purpose: Several single nucleotide polymorphisms (SNP) have been associated with the risk of prostate cancer. The clinical utility of using SNPs in the early detection of prostate cancer has not been evaluated. Experimental Design: We examined a panel of 25 SNPs from candidate genes and chromosomal regions in 3,004 unselected men who were screened for prostate cancer using serum prostate-specific antigen (PSA) and digital rectal examination. All underwent a prostate biopsy. We evaluated the ability of these SNPs to help predict the presence of prostate cancer at biopsy. Results: Of the 3,004 patients, 1,389 (46.2%) were found to have prostate cancer. Fifteen of the 25 SNPs studied were significantly associated with prostate cancer (P = 0.02-7 × 10−8). We selected a combination of 4 SNPs with the best predictive value for further study. After adjusting for other predictive factors, the odds ratio for patients with all four of the variant genotypes compared with men with no variant genotype was 5.1 (95% confidence interval, 1.6-16.5; P = 0.006). When incorporated into a nomogram, genotype status contributed more significantly than PSA, family history, ethnicity, urinary symptoms, and digital rectal examination (area under the curve = 0.74). The positive predictive value of the PSA test ranged from 42% to 94% depending on the number of variant genotypes carried (P = 1 × 10−15). Conclusions: SNP genotyping can be used in a clinical setting for the early detection of prostate cancer in a nomogram approach and by improving the positive predictive value of the PSA test.
Breast Cancer Research and Treatment | 2008
Joanne Kotsopoulos; William Zhang; Shiyu Zhang; David R. McCready; Maureen E. Trudeau; Phil Zhang; Ping Sun; Steven A. Narod
Background An accumulating body of evidence suggests that there is an inverse relationship between the intake of folate (a water-soluble B-vitamin) and the risk of developing breast cancer. Individual variation in the genes involved in the transport of folate, or its metabolism, may affect risk, or may modify the association between folate and breast cancer risk. Methods We performed a case-control study to evaluate the association between common polymorphisms in six folate-related genes and the risk of breast cancer in 1,009 breast cancer patients and 907 healthy controls. Study subjects were genotyped for eight single nucleotide polymorphisms (SNPs) in these six genes. Results We observed no association between the MTHFR, RFC, MS and MTRR genotypes and the risk of breast cancer. Conclusion These data do not support the hypothesis that genetic variation in genes involved in the metabolism of folate are implicated in the etiology of breast cancer.
Journal of Clinical Oncology | 2003
Robert K. Nam; William Zhang; John Trachtenberg; Eleftherios P. Diamandis; Ants Toi; Marjan Emami; Minnie Ho; Joan Sweet; Andrew Evans; Michael A.S. Jewett; Steven A. Narod
PURPOSE We examined the relationship between a mutant (T) for wild-type (C) allele substitution of the human kallikrein-2 gene (KLK2), circulating human kallikrein-2 (hK2) levels and prostate cancer risk. PATIENTS AND METHODS We studied 1,287 consecutive men who underwent prostate biopsies because of an abnormal prostate-specific antigen level. Serum and DNA were obtained before biopsy. Cases were patients with cancer, and controls were patients with no cancer. The mutant and wild-type alleles of the KLK2 gene were designated as the T and C alleles, respectively. RESULTS Of the 1,287 men, 616 had cancer, and 671 had no cancer. The overall distribution of the CC, CT, and TT KLK2 genotypes was 55.1%, 38.2%, and 6.8%, respectively. The median hK2 levels for men with the CC, CT, and TT genotypes were 0.24, 0.18, and 0.062 ng/mL and correlated with the genotypes, respectively (P =.0001). The adjusted odds ratios for prostate cancer for patients with the TT and CT genotypes compared with patients with the CC genotype, were 2.13 (95% confidence interval [CI], 1.3 to 3.5; P =.004) and 1.51 (95% CI, 1.2 to 2.0; P =.002), respectively. The adjusted odds ratio for prostate cancer for patients in the fourth quartile of hK2 compared with the first quartile was 4.33 (95% CI, 2.9 to 6.4; P =.0001). When combined, the adjusted odds ratio for having prostate cancer was 13.92 (95% CI, 6.6 to 29.2; P =.0001) for patients with high hK2 levels and at least one T allele. CONCLUSION The C/T polymorphism of the KLK2 gene and circulating levels of hK2 are correlated and, in combination, are highly predictive for prostate cancer.
Clinical Cancer Research | 2006
Robert K. Nam; William Zhang; Laurence Klotz; John Trachtenberg; Michael A.S. Jewett; Joan Sweet; Ants Toi; Seamus Teahan; Vasundara Venkateswaran; Linda Sugar; Andrew Loblaw; Katherine A. Siminovitch; Steven A. Narod
Purpose: Increased levels of serum human kallikrein-2 (hK2) and an hK2 gene (KLK2) variant are positively associated for prostate cancer, but the relationships between them remain unclear. We examined five variants of the KLK2 gene to further define its relevance to prostate cancer susceptibility and hK2 levels. Experimental Design: We genotyped 645 men with biopsy-proven prostate cancer (cases) and 606 males with biopsies negative for prostate cancer (controls) for five additional single nucleotide polymorphisms (SNP) across the KLK2 gene and also tested for serum hK2 levels. These SNPs were identified from sequencing the KLK2 gene among 20 patients with aggressive prostate cancer. Odds ratios (OR) for prostate cancer detection and haplotype analysis were done. Results: Among the SNPs studied, the A allele of the KLK2-SNP1 (G > A, rs2664155) and the T allele of the KLK2-SNP5 (C > T, rs198977) polymorphisms showed positive associations with prostate cancer, adjusted ORs for KLK2-SNP1 AG and AA genotypes being 1.4 [95% confidence interval (95% CI), 1.2-1.8; P = 0.002] and for KLK2-SNP5 TT or CT genotypes being 1.3 (95% CI, 1.1-1.6; P = 0.05). Haplotype analyses also revealed a significant association between prostate cancer and the haplotype containing both risk alleles (ACCTT), OR being 5.1 (95% CI, 1.6-6.5; P = 0.005). Analysis of serum hK2 revealed hK2 levels to be significantly increased in association with KLK2-SNP1 AA and AG risk genotypes compared with the GG genotype (P = 0.001) and also in association with the ACCTT risk haplotype compared with the most common non-risk haplotype (P = 0.05). Conclusions: These findings suggest a role for the KLK2 gene in prostate cancer susceptibility and imply that this role may be realized at least in part by the induction of increases in hK2 production.
Journal of Biomedical Research | 2014
William Zhang; Zhenqing Feng; Steven A. Narod
Abstract Cruciferous vegetables belong to the plant family that has flowers with four equal-sized petals in the pattern of a crucifer cross. These vegetables are an abundant source of dietary phytochemicals, including glucosinolates and their hydrolysis products such as indole-3-carbinol (I3C) and 3,3′-diindolylmethane (DIM). By 2013, the total number of natural glucosinolates that have been documented is estimated to be 132. Recently, cruciferous vegetable intake has garnered great interest for its multiple health benefits such as anticancer, antiviral infections, human sex hormone regulation, and its therapeutic and preventive effects on prostate cancer and high grade prostatic intraepithelial neoplasia (HGPIN). DIM is a hydrolysis product of glucosinolates and has been used in various trials. This review is to provide an insight into the latest developments of DIM in treating or preventing both prostate cancer and HGPIN.
Cancer Epidemiology, Biomarkers & Prevention | 2003
Robert K. Nam; William Zhang; John Trachtenberg; Michael A.S. Jewett; Marjan Emami; Danny Vesprini; William Chu; Minnie Ho; Joan Sweet; Andrew Evans; Ants Toi; Michael Pollak; Steven A. Narod
Cancer Epidemiology, Biomarkers & Prevention | 2004
Joe H. Lai; Danny Vesprini; William Zhang; Martin J. Yaffe; Michael Pollak; Steven A. Narod
Cancer Research | 2003
Sean P. Cleary; William Zhang; Nando Di Nicola; Melyssa Aronson; Jennifer Aubé; Amanda Steinman; Riad Haddad; Mark Redston; Steven Gallinger; Steven A. Narod; Robert Gryfe
Cancer Epidemiology, Biomarkers & Prevention | 2003
Alexander Liede; William Zhang; Maria Lourdes De Leon Matsuda; Alex Tan; Steven A. Narod