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William Chu

Publications and source records attributed to William Chu.

3 recordsLinked to original sources

Does L/M cone opponency disappear in human periphery?

We have assessed the optimal cone contrast sensitivity across eccentricity in human vision of the two cone-opponent mechanisms [L/M or red-green, and S/(L + M) or blue-yellow] and the luminance mechanism. We have used a novel stimulus, termed a 'sinring', that is a radially modulated sine-wave arc, Gaussian enveloped in both angular and radial directions. This stimulus overcomes the problem inherent in Gabor stimuli of confounding stimulus spatial frequency, size, and eccentricity and so allows contrast sensitivity to be tracked accurately into the periphery. Our results show that L/M cone opponency declines steeply across the human periphery and becomes behaviourally absent by 25-30 deg (in the nasal field). This result suggests that any L/M cone-opponent neurons found in primate peripheral retina beyond this limit are unlikely to be significant for colour contrast detection measured behaviourally.

Color Perception↗

Breast tissue organochlorine levels and metabolic genotypes in relation to breast cancer risk Canada.

Genes that metabolize the rate of clearance of environmental carcinogens may be candidate genes for cancer susceptibility. There is some data to suggest that exposure to environmental pesticides and other organochlorine pollutants is a risk factor to breast cancer. It is therefore reasonable to ask if variants in the genes responsible for the metabolic activation of organochlorines are associated with different tissue burdens of organochlorines and if these variants modify the risk of breast cancer in the population. We conducted a case-control study of women who underwent an excision biopsy for suspected breast cancer in a Toronto hospital from 1995 to 1997. Patients are residents of the Greater Toronto Area and are primarily Caucasian of European descent. Cases were women with invasive breast cancer (n = 70) and controls (n = 69) were women diagnosed with benign disease, frequency matched by age to cases. Levels of organochlorines were measured in benign breast tissue and seven polymorphisms in five candidate genes were genotyped. In general, women who carried inactive alleles of the GSTM1 had higher levels of breast organochlorines, and were at modestly increased risk of breast cancer (odds ratio = 2.2; 95% CI = 1.1-4.4). However, multiple comparisons were made and generally our data do not support the hypothesis that organochlorines increase the risk of breast cancer among subgroups of women with specific metabolic genotypes.

Adult↗

Comprehensive assessment of candidate genes and serological markers for the detection of prostate cancer.

We examined whether selected polymorphisms in 11 candidate genes and serum levels of insulin-like growth factor I (IGF-I) help predict the presence of prostate cancer among patients prescreened with prostate-specific antigen (PSA) and digital rectal exam (DRE). We studied 1031 consecutive men who underwent one or more prostate biopsies because of an elevated PSA level (>4 ng/ml) or an abnormal DRE. Eleven candidate genes were examined, including the androgen receptor, SRD5A2, CYP17, CYP3A4, vitamin D receptor, PSA, GST-T1, GST-M1, GST-P1, IGF-I, and IGF binding protein 3. We also measured serum IGF-I levels before biopsy. Of the 1031 men, 483 had cancer on any biopsy (cases) and 548 men had no cancer (controls). Age, ethnicity, total PSA, and DRE result were strongly predictive of the presence of prostate cancer. The mean IGF-I level for cases (119.4 ng/ml) was lower than for controls (124.4 ng/ml, P = 0.05) and were not predictive for the presence of prostate cancer. We found no associations between the androgen receptor, SRD5A2, CYP17, CYP3A4, vitamin D receptor, GST-M1, GST-P1, and IGF binding protein 3 genotypes and prostate cancer risk. The adjusted odds ratios for having prostate cancer for patients with the GST-T1 and IGF-I variant alleles were 1.64 (95% confidence interval, 1.1-2.4; P = 0.01) and 1.70 (95% confidence interval, 1.1-2.7; P = 0.02), respectively. Nine of 11 candidate genes were not significantly predictive for prostate cancer in a clinical setting. The GST-T1 and IGF-I polymorphisms demonstrated modest associations with prostate cancer risk. IGF-I levels were not helpful in identifying patients with prostate cancer at the time of biopsy.

Adult↗