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Usage Information

CCAT1 is an enhancer-templated RNA that predicts BET sensitivity in colorectal cancer
Mark L. McCleland, Kathryn Mesh, Edward Lorenzana, Vivek S. Chopra, Ehud Segal, Colin Watanabe, Benjamin Haley, Oleg Mayba, Murat Yaylaoglu, Florian Gnad, Ron Firestein
Mark L. McCleland, Kathryn Mesh, Edward Lorenzana, Vivek S. Chopra, Ehud Segal, Colin Watanabe, Benjamin Haley, Oleg Mayba, Murat Yaylaoglu, Florian Gnad, Ron Firestein
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Research Article Oncology

CCAT1 is an enhancer-templated RNA that predicts BET sensitivity in colorectal cancer

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Abstract

Colon tumors arise in a stepwise fashion from either discrete genetic perturbations or epigenetic dysregulation. To uncover the key epigenetic regulators that drive colon cancer growth, we used a CRISPR loss-of-function screen and identified a number of essential genes, including the bromodomain and extraterminal (BET) protein BRD4. We found that BRD4 is critical for colon cancer proliferation, and its knockdown led to differentiation effects in vivo. JQ1, a BET inhibitor, preferentially reduced growth in a subset of epigenetically dysregulated colon cancers characterized by the CpG island methylator phenotype (CIMP). Integrated transcriptomic and genomic analyses defined a distinct superenhancer in CIMP+ colon cancers that regulates cMYC transcription. We found that the long noncoding RNA colon cancer–associated transcript 1 (CCAT1) is transcribed from this superenhancer and is exquisitely sensitive to BET inhibition. Concordantly, cMYC transcription and cell growth were tightly correlated with the presence of CCAT1 RNA in a variety of tumor types. Taken together, we propose that CCAT1 is a clinically tractable biomarker for identifying patients who are likely to benefit from BET inhibitors.

Authors

Mark L. McCleland, Kathryn Mesh, Edward Lorenzana, Vivek S. Chopra, Ehud Segal, Colin Watanabe, Benjamin Haley, Oleg Mayba, Murat Yaylaoglu, Florian Gnad, Ron Firestein

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Usage data is cumulative from September 2025 through September 2026.

Usage JCI PMC
Text version 1,582 100
PDF 419 42
Figure 1,116 3
Table 133 0
Supplemental data 1,026 56
Citation downloads 277 0
Totals 4,553 201
Total Views 4,754
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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