Inference of tumor cell-specific transcription factor binding from cell-free DNA enables tumor subtype prediction and early detection of cancer

<p>Deregulation of transcription factors (TFs) is an important driver of tumorigenesis. We developed and validated a minimally invasive method for assessing TF activity based on cell-free DNA sequencing and nucleosome footprint analysis. We analyzed whole genome sequencing data for &gt;1,000 cell-free DNA samples from cancer patients and healthy controls using a newly developed bioinformatics pipeline that infers accessibility of TF binding sites from cell-free DNA fragmentation patterns. We observed patient-specific as well as tumor-specific patterns, including accurate prediction of tumor subtypes in prostate cancer, with important clinical implications for the management of patients. Furthermore, we show that cell-free DNA TF profiling is capable of early detection of colorectal carcinomas. Our approach for mapping tumor-specific transcription factor binding <em>in vivo</em> based on blood samples makes a key part of the noncoding genome amenable to clinical analysis</p> <p>This dataset comprises genome-wide midpoint coverages across the early stage colon cancer cohort and non-cancer controls. For every TF and every sample, coverage values relative to the transcription factor binding site are specified ni tab-separated values (one file per sample, one line per TF)</p>