Transcription factor-nucleosome dynamics from plasma cfDNA identifies ER-driven states in breast cancer

血浆 cfDNA 中的转录因子核小体动力学可识别乳腺癌中的 ER 驱动状态

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作者:Satyanarayan Rao, Amy L Han, Alexis Zukowski, Etana Kopin, Carol A Sartorius, Peter Kabos, Srinivas Ramachandran

Abstract

Genome-wide binding profiles of estrogen receptor (ER) and FOXA1 reflect cancer state in ER+ breast cancer. However, routine profiling of tumor transcription factor (TF) binding is impractical in the clinic. Here, we show that plasma cell-free DNA (cfDNA) contains high-resolution ER and FOXA1 tumor binding profiles for breast cancer. Enrichment of TF footprints in plasma reflects the binding strength of the TF in originating tissue. We defined pure in vivo tumor TF signatures in plasma using ER+ breast cancer xenografts, which can distinguish xenografts with distinct ER states. Furthermore, state-specific ER-binding signatures can partition human breast tumors into groups with significantly different ER expression and mortality. Last, TF footprints in human plasma samples can identify the presence of ER+ breast cancer. Thus, plasma TF footprints enable minimally invasive mapping of the regulatory landscape of breast cancer in humans and open vast possibilities for clinical applications across multiple tumor types.

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