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Thomas Wang

Publications and source records attributed to Thomas Wang.

2 recordsLinked to original sources

The glycosphingolipid globotriaosylceramide in the metastatic transformation of colon cancer.

The most devastating aspect of cancer is the emergence of metastases. Thus, identification of potentially metastatic cells among a tumor cell population and the underlying molecular changes that switch cells to a metastatic state are among the most important issues in cancer biology. Here we show that, although normal human colonic epithelial cells lack the glycosphingolipid globotriaosylceramide (Gb(3)), this molecule is highly expressed in metastatic colon cancer. In addition, a subpopulation of cells that are greatly enriched in Gb(3) and have an invasive phenotype was identified in human colon cancer cell lines. In epithelial cells in culture, Gb(3) was necessary and sufficient for cell invasiveness. Transfection of Gb(3) synthase, resulting in Gb(3) expression in noncancerous polarized epithelial cells lacking endogenous Gb(3), induced cell invasiveness. Furthermore, Gb(3) knockdown by small inhibitory RNA in colon cancer epithelial cells inhibited cell invasiveness. Gb(3) is the plasma membrane receptor for Shiga toxin 1. The noncatalytic B subunit of Shiga toxin 1 causes apoptosis of human colon cancer cells expressing Gb(3). Injections of the B subunit of Shiga toxin 1 into HT29 human colon cancer cells engrafted into the flanks of nude mice inhibited tumor growth. These data demonstrate the appearance of a subpopulation of Gb(3) containing epithelial cells in the metastatic stage of human colon cancer and suggest their possible role in colon cancer invasiveness.

Animals↗

Numerical deconvolution of cDNA microarray signal: simulation study.

A computational model for simulation of the cDNA microarray experiments has been created. The simulation allows one to foresee the statistical properties of replicated experiments without actually performing them. We introduce a new concept, the so-called bio-weight, which allows for reconciliation between conflicting meanings of biological and statistical significance in microarray experiments. It is shown that, for a small sample size, the bio-weight is a more powerful criterion of the presence of a signal in microarray data as compared to the standard approach based on t test. Joint simulation of microarray and quantitative PCR data shows that the genes recovered by using the bio-weight have better chances to be confirmed by PCR than those obtained by the t test technique. We also employ extreme value considerations to derive plausible cutoff levels for hypothesis testing.

Cell Line, Tumor↗