Abstract 1272: Enhancer RNA cell line database reveals new associations between TF activity and cancer subtype

• Published in: Cancer research (Chicago, Ill.) Ill.), 2020-08, Vol.80 (16_Supplement), p.1272-1272
• Main Authors: Azofeifa, Joseph, Basken, Joel, Lai, Maria, Langendorf, Ryan, Norris, Laura, Read, Tim, Robbins-Pianka, Adam
• Format: Article
• Language: English
• ISSN: 0008-5472; 1538-7445
• DOI: 10.1158/1538-7445.AM2020-1272

Cell type and lineage is driven, in large part, by changes in transcription factor activity. Particularly in cancer, misregulation of transcription factor binding can lead to de-differentiated states and overproliferation. Recent work suggests that enhancer RNAs are a highly predictive readout of transcription factor activity, however, measuring them is an arduous process. We developed an automated strategy to measure nascent RNAs for over 50 different cancer cell line models. By a modified PRO-seq assay, we annotated enhancer RNAs and transcription factors unique to specific cancer backgrounds. Examples include: ESR1 activity in ER+ breast cancer models, AR activity in castration-sensitive prostate models and GATA3 in AML. This database is the first standardized collection of enhancer RNAs and and can be used in conjunction with the BROAD's CCLE and DepMap consortiums to help expedite treatment options. Citation Format: Joseph Azofeifa, Joel Basken, Maria Lai, Ryan Langendorf, Laura Norris, Tim Read, Adam Robbins-Pianka. Enhancer RNA cell line database reveals new associations between TF activity and cancer subtype [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1272.