To find ovarian tumor-specific molecules that could be used as diagnostic and therapeutic targets, custom bioinformatics algorithms were developed and used to analyze gene expression data from 296 ovarian cancer tissues and 1,839 normal tissues, revealing 17 candidate RNA molecules produced by most of the cancer tissues but by few of the normal tissues, according to a study.
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