The CGCC at Memorial Sloan-Kettering is one of four centers that are studying changes in the number of copies of genes -- whether particular bits of the genome are gained (have extra copies) or have been deleted (have lost copies) in a given tumor sample. "When you do this in hundreds of samples of the same cancer," Dr. Ladanyi explained, "you see that there are characteristic genetic changes that occur over and over again, in tumors from different patients." The other centers looking at copy numbers are using different approaches and in some cases different technologies. "The idea is that each technology has its own advantages and disadvantages, and by using several methods to measure the same thing, you can get the most accurate picture of this class of genetic abnormalities," Dr. Ladanyi said.
Other characterization centers are looking at additional aspects of genetic changes in tumors, including patterns of gene expression, changes in microRNAs (which regulate gene expression), and alterations called DNA methylation (a modification that does not change the gene sequence but alters expression of neighboring genes). There are also three Genome Sequencing Centers that use high-throughput methods similar to those used for the Human Genome Project, and a bioinformatics center to analyze all of the data that is being generated.
Some members of the research community have criticized TCGA's approach, questioning whether it is the most efficient way to find genetic changes related to cancer and expressing concern about the cost of the project in relation to the amount of data it is likely to generate. One alternative that's been suggested is a so-called functional genomics approach, which looks for normal cellular pathways that play a role in cancer by using molecules called short hairpin RNAs (which are engineered to target and suppress specific genes) and studying the response of cancer cells.
"The various approaches to learning more about cancer genes complement each other," said Dr. Varmus. "Ultimately, the more data we have about all the genes that play a role in cancer, the faster we will be able to develop diagnostic procedures and drugs that will benefit patients."