The journey began with T3p, a small RNA molecule detected in breast cancer but not in normal tissue. When it was first described in 2018, it stood out as unusual. That initial finding launched a six-year effort to systematically identify similar orphan non-coding RNAs (oncRNAs) across major cancer types, determine which ones actively contribute to disease, and test whether they could help monitor patients using simple blood tests.
In our newly published study, we describe how this work progressed from analyzing large cancer genome datasets to developing machine learning models, conducting large-scale functional experiments in mice, and ultimately confirming the clinical relevance of these RNAs in nearly 200 breast cancer patients using blood samples.
Cancer-Specific OncRNAs Are Widespread
One of the first major…