For the study, Wu's and team evaluated 70 SNPs in eight microRNA pathway genes. These were taken from 380 ovarian cancer cases, as well as from 146 healthy women.
The researchers found 16 SNPs that were predictive of ovarian cancer risk. Patients who carried five or fewer of these SNPs were at low risk for ovarian cancer. However, patients with six and seven SNPs had more than a twofold increased risk, and those with eight or more had over a fivefold increased risk.
In addition, as the number of these SNPs increases, so does resistance to treatment and poorer survival, Wu said.
This information, along with other genetic and lifestyle risk factors, could be used to develop an ovarian cancer risk-prediction model, Wu said.
In a fourth study, researchers led by Dr. Gangning Liang, an associate professor of research in the department of urology at the University of Southern California, reported finding a DNA modification called a "methylation pattern," that may diagnosis bladder cancer and detect patients at risk for recurrence of the disease.
"Bladder cancer is the fifth most common cancer in men and the sixth most common in women," Liang said during the teleconference. "It is mainly found in smokers."
DNA methylation is a process in which genes can be either silenced or activated in cancer. For the study, researchers measured DNA methylation in 12 patients who did not have bladder cancer, 52 patients with non-invasive bladder tumors and 39 patients with invasive bladder tumors.
Comparing cancerous tissue with normal bladder tissue, they found 158 "hypermethylated" loci and 366 "hypomethylated" locations. In addition, they found 21 places that were hypermethylated in the normal-appearing bladder tissue in patients with bladder cancer.
These loci may be markers for identifying people at risk f
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