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Biomedical subjects

James W F Catto

Publications and source records attributed to James W F Catto.

11 recordsLinked to original sources
PubMed2007

DNA methylation and immunohistochemical analysis of the S100A4 calcium binding protein in human prostate cancer.

BACKGROUND: The role of DNA methylation in the transcriptional regulation of S100A4 is unknown in human prostate cancer. METHODS: Critical CpG sites within intron 1 of S100A4 were sequenced in DNA obtained from prostatic adenocarcinoma, non-malignant epithelium, and prostate cancer cell lines. S100A4 protein expression was assessed by immunohistochemistry and Western blotting. RESULTS: Methylation was seen in all cases of cancer, non-malignant epithelium, and in prostate cancer cell lines, but was absent in all cases of blood DNA. S100A4 immunoexpression was absent in all cases of malignant and non-malignant epithelium, while strong-moderate expression was seen in the stroma and lymphocytes. Western blotting showed absent S100A4 expression in LNCaP and Du145 cells and low levels in PC-3 cells. CONCLUSIONS: S100A4 protein is not expressed in benign or malignant prostatic epithelium nor in LNCaP and Du145 cells. The mechanism underlying absent S100A4 expression in prostatic epithelium and cell lines may involve methylation.

Adenocarcinoma↗
PubMed2006

Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression.

PURPOSE: New methods are required to improve the prediction of cancer progression as traditional statistical tests have limited accuracy. Accurate predictions would allow physicians to offer specific treatment according to individual patient risk. While predictive improvements are obtained using ANN, the hidden nature of these networks prevents insight and has hindered their widespread implementation. NFM is an alternate form of artificial intelligence using fuzzy logic (which is a multivalued logic which provides reasoning under uncertainty). By defuzzification the NFM rule base becomes transparent to overcome the black box nature of ANN. MATERIALS AND METHODS: Combinations of clinicopathological (tumor stage and grade, patient age, gender, and smoking status) and molecular (immunohistochemical expression of p53 and methylation status of 11 loci) data from 117 patients were used to develop and compare predictive models of tumor progression using NFM, ANN and LR. RESULTS: NFM (88% to 100% sensitivity, 97% to 100% specificity and 94% to 100% accuracy) predicted the presence and timing of cancer progression more accurately than ANN (81% to 87%, 95% to 100% and 89% to 90%, p = 0.002) and LR 3%, 61% to 72% and 47% to 53%, p = 0.00005). NFM was able to interrogate the clinicopathological and molecular data, and select the most important parameters (age, grade, stage, smoking, methylation) for progression prediction. CONCLUSIONS: Intelligent systems and molecular biomarkers improved the accuracy of cancer progression predictions. NFM appeared superior to ANN in terms of accuracy, sensitivity, specificity and transparency. The use of NFM in routine clinical practice warrants further validation.

Aged↗
PubMed2006

Multifocal urothelial cancers with the mutator phenotype are of monoclonal origin and require panurothelial treatment for tumor clearance.

PURPOSE: UC is a disease of the entire urothelium, characterized by multiplicity and multifocality. The clonal relationship among multiple UCs has implications regarding adjuvant chemotherapy. It has been investigated in studies of chromosomal alteration and single gene mutation. However, these genetic changes can occur in unrelated tumors under similar carcinogenic selection pressures. Tumors with high MSI have numerous DNA mutations, of which many provide no selection benefit. While these tumors represent an ideal model for studying UC clonality, their low frequency has prevented their previous investigation. MATERIALS AND METHODS: We investigated 32 upper and lower urinary tract UCs with high MSI and 4 nonUC primary cancers in 9 patients. We used the high frequency and specificity of individual DNA mutations in these tumors (MSI at 17 loci) and the early timing of epigenetic events (methylation of 7 gene promoters) to investigate tumor clonality. RESULTS: Molecular alterations varied among tumors from different primary organs but they appeared related in the UCs of all 9 patients. While 7 patients had a high degree of concordance among UCs, in 2 the UCs shared only a few similar alterations. Genetic and epigenetic abnormalities were frequently found in normal urothelial samples. CONCLUSIONS: Multiple UCs in each patient appeared to arise from a single clone. The molecular order of tumor development varied from the timing of clinical presentation and suggested that residual malignant cells persist in the urinary tract despite apparent curative surgery. These cells lead to subsequent tumor relapse and new methods are required to detect and eradicate them.

Adult↗
PubMed2005

Promoter hyper-methylation of calcium binding proteins S100A6 and S100A2 in human prostate cancer.

BACKGROUND: S100A6 and S100A2 are members of the S100 family of calcium binding proteins, which are down regulated in prostate cancer, however the molecular mechanism(s) underlying their loss of expression is unknown. METHODS: The promoter and exon 1 region of the S100A6 and S100A2 genes was sequenced in bisulfite modified DNA from non-malignant, benign prostatic hyperplasia (BPH), malignant and metastatic prostate tissues and in cell lines. Immunohistochemistry was performed to correlate S100A2 expression with methylation status. RESULTS: S100A6 methylation was absent or occurred at isolated sites in 14/14 cases of non-malignant epithelium and 5/5 cases of BPH tissues, whereas methylation was seen in 14/27 (52%) cases of prostatic cancer (P<0.0001), 2/2 cases of metastatic cancer and in the CWR22 prostatic cancer xenograft. Critical CpG sites within the S100A2 promoter were methylated in LNCaP, LNCaP-LN3, and CWR22 cells but not in Du145, PC3 or BPH45 cells. In tissues, S100A2 methylation was seen in 32/34 (94%) cases of adenocarcinoma and 5/5 cases of metastatic cancer. However, S100A2 methylation was also seen in 9/12 (75%) cases of non-malignant tissues and in 5/5 cases of BPH. Immunostaining, showed absent S100A2 expression all 41 cases of prostatic cancer, whereas staining was seen in the basal cells of non-malignant epithelium. CONCLUSIONS: Loss of S100A6 and S100A2 proteins is frequent in human prostatic cancer. A major mechanism underlying the loss of S100A6 expression appears to involve promoter hyper-methylation. However, mechanisms other than methylation of the known promoter are involved in silencing S100A2 in the prostate.

Adenocarcinoma↗
PubMed2005

Promoter hypermethylation is associated with tumor location, stage, and subsequent progression in transitional cell carcinoma.

PURPOSE: Transitional cell carcinoma (TCC) is a pan-urothelial disease characterized by multiplicity. Although little is known about the molecular events in upper-tract TCC, similar carcinogenic mechanisms are thought to occur throughout the urinary tract. However, we have previously shown that distinct patterns of microsatellite instability occur in upper and lower urinary tract TCC, suggesting biologic differences between these tumors. Here we investigate the extent of promoter hypermethylation in TCC throughout the urinary tract. PATIENTS AND METHODS: Tissue was obtained from 280 patients (median follow-up, 56 months) whose tumors comprised 116 bladder and 164 upper-tract tumors (UTT). Analysis for hypermethylation at 11 CpG islands, using methylation-sensitive polymerase chain reaction and bisulfite sequencing, was performed for each sample and compared with the tumor's clinicopathologic details, microsatellite instability status, and subsequent behavior. RESULTS: Promoter methylation was present in 86% of TCC and occurred both more frequently and more extensively in UTT (94%) than in bladder tumors (76%; P < .0001). Methylation was associated with advanced tumor stage (P = .0001) and higher tumor progression (P = .03) and mortality rates (P = .04), when compared with tumors without methylation. Multivariate analysis revealed that methylation at the RASSF1A and DAPK loci, in addition to tumor stage and grade, were associated with disease progression (P < .04). CONCLUSION: Despite morphologic similarities, there are genetic and epigenetic differences between TCC in the upper and lower urinary tracts. Methylation occurs commonly in urinary tract tumors, may affect carcinogenic mechanisms, and is a prognostic marker and a potential therapeutic target.

Adult↗
PubMed2004

Dysregulated expression of S100A11 (calgizzarin) in prostate cancer and precursor lesions.

S100A11 is a calcium-binding protein implicated in a variety of biologic functions such as proliferation and differentiation as well as in cancer. To further understand its role in prostate cancer, we performed immunohistochemistry on a series of benign, premalignant, malignant and metastatic prostate cancer tissues in addition to prostate cancer derived cell lines. In benign prostatic hyperplasia (n=30) and benign tissue adjacent to adenocarcinoma (n=54), S100A11 expression was significantly higher in basal cells compared with in luminal cells (P <0.001). A complete absence of staining was seen in 4/14 (29%) lesions of prostatic intraepithelial neoplasia. The majority of tumors, 39/54 (72%), showed significant overexpression of S100A11 compared with the luminal cells of adjacent benign epithelium (P <0.001), whereas 14/54 (26%) of cases showed an absence of staining. All 4 cases of metastatic cancer showed intense to moderate expression. There was a significant association between S100A11 expression and high pathologic stage (pT3b) versus lower stages (pT2a-3a; P=0.027), but not with tumor Gleason score or prostate-specific antigen levels. LNCaP, PC3, and Du145 cancer cell lines showed intense to moderate S100A11 expression by immunochemistry, which was confirmed by Western blotting and reverse-transcription polymerase chain reaction. A survey of 14 other types of normal tissues arranged on a tissue microarray showed that S100A11 is widely expressed amongst epithelia. Our finding of frequent dysregulated expression of S100A11 in cancer and precursor lesions, together with an association with high histological stage, suggests that S100A11 may be involved in prostate cancer development and progression.

Adenocarcinoma↗
PubMed2003

Distinct patterns of microsatellite instability are seen in tumours of the urinary tract.

To date, two forms of microsatellite instability (MSI) have been described in human cancer. MSI typical of hereditary nonpolyposis colon cancer (HNPCC), is due to deficient DNA mismatch repair (MMR) and is defined with mono- and dinucleotide repeat microsatellites. A second variety of instability is best seen at selective tetranucleotide repeats (EMAST; elevated microsatellite alterations at select tetranucleotides). While MSI occurs infrequently in bladder cancers, EMAST is common. Sporadic tumours with the largest proportion showing MSI are those found most frequently in HNPCC kindreds. While bladder cancer is not frequently seen in HNPCC, upper urinary tract tumours (UTTs) are. Having previously found a low frequency of MSI in bladder cancer, we sought to determine the relative levels of MSI and EMAST in transitional cell carcinoma (TCC) of the upper and lower urinary tracts. Microsatellite analysis was performed at 10 mono- and dinucleotide and eight tetranucleotide loci, in 89 bladder and 71 UTT TCC. Contrasting patterns of instability were seen in urinary tumours. In bladder cancer, MSI was rare and EMAST was common. The presence of EMAST was not related to tumour grade, stage, subsequent outcome or immunohistochemical expression of the MMR proteins. In UTT, while MSI occurred frequently, EMAST was seen less frequently than in bladder cancer. When TCC of the upper and lower urinary tracts are compared, MSI-H is more frequent in UTT and EMAST more frequent in bladder cancer. Our findings show that, as for colorectal cancer, the pattern of MSI varies with location in the urinary tract. In addition, we have confirmed that MSI and EMAST are discrete forms of MSI, and that the presence of EMAST does not affect tumour phenotype.

Adaptor Proteins, Signal Transducing↗
PubMed2003

Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks.

PURPOSE: New techniques for the prediction of tumor behavior are needed, because statistical analysis has a poor accuracy and is not applicable to the individual. Artificial intelligence (AI) may provide these suitable methods. Whereas artificial neural networks (ANN), the best-studied form of AI, have been used successfully, its hidden networks remain an obstacle to its acceptance. Neuro-fuzzy modeling (NFM), another AI method, has a transparent functional layer and is without many of the drawbacks of ANN. We have compared the predictive accuracies of NFM, ANN, and traditional statistical methods, for the behavior of bladder cancer. EXPERIMENTAL DESIGN: Experimental molecular biomarkers, including p53 and the mismatch repair proteins, and conventional clinicopathological data were studied in a cohort of 109 patients with bladder cancer. For all three of the methods, models were produced to predict the presence and timing of a tumor relapse. RESULTS: Both methods of AI predicted relapse with an accuracy ranging from 88% to 95%. This was superior to statistical methods (71-77%; P < 0.0006). NFM appeared better than ANN at predicting the timing of relapse (P = 0.073). CONCLUSIONS: The use of AI can accurately predict cancer behavior. NFM has a similar or superior predictive accuracy to ANN. However, unlike the impenetrable "black-box" of a neural network, the rules of NFM are transparent, enabling validation from clinical knowledge and the manipulation of input variables to allow exploratory predictions. This technique could be used widely in a variety of areas of medicine.

Artificial Intelligence↗
PubMed2003

Differential expression of hMLH1 and hMSH2 is related to bladder cancer grade, stage and prognosis but not microsatellite instability.

Defects in the DNA mismatch repair proteins result in microsatellite instability and malignancy in hereditary non-polyposis colorectal carcinoma (HNPCC). However, the role of mismatch repair (MMR) proteins and microsatellite instability (MSI) in transitional cell carcinoma of the bladder is less clear. In our study, the expression of 2 MMR proteins and the frequency of MSI in Transitional cell carcinoma of the bladder (TCC) were investigated. One hundred eleven patients with TCC of the bladder were studied, with complete clinicopathological data (median follow up of 5 years, range 5-16 years). Immunohistochemistry was used to detect the expression levels of hMLH1 and hMSH2. Microsatellite analysis for 14 loci (10 loci from the Bethesda consensus panel and the repeats in the TGFbetaR2, BAX, hMSH3 and hMSH6 genes) was performed on 84 tumors. Reduced expression of either MMR protein was seen in 26 of 111 tumors (23%). Reduced expression was seen more commonly in muscle invasive (p<0.03) and high grade TCC (p<0.03) than in superficial, low grade tumors. By 5 years, reduced expression of either MMR protein was associated with fewer recurrences of superficial tumors (p=0.015) and fewer relapses in all tumors (p=0.03), compared to tumors with normal expression. Nine tumors had reduced expression of both MMR proteins, analysis which suggests a synergistic reduction in expression (p=0.001). MMR expression was related to patient age, younger patients being more likely to have reduced MMR expression than older patients (p<0.01). MSI was seen at multiple loci in 1 tumor (1%) and at a single locus in 6 tumors (7%). MSI was not associated with MMR expression. Our findings indicate that reduced expression of the MMR proteins may have an important contribution in the development of a subset of TCCs and suggest a potential role for MMR expression as prognostic indicators.

Adaptor Proteins, Signal Transducing↗