IDH1/2 mutations (IDHmut) increase methylation of DNA and histones in gliomas. IDHmut inhibitors are effective against low-grade IDHmut gliomas, but new strategies against high-grade IDHmut gliomas are needed. Although histone deacetylase inhibitors (HDACi) are ineffective against IDHwt glioblastoma (GBM), their potential in IDHmut gliomas has not been extensively studied. We previously established that IDHmut gliomas are more sensitive to HDACi than IDHwt GBM. Here we show that IDHmut is associated with greater sensitivity to HDACi only in glioma, not in IDHmut chondrosarcoma or cholangiocarcinoma. While HDACi induced more histone acetylation and gene regulation in IDHmut glioma than in IDHwt GBM, such acetylation was mostly within gene deserts, whereas IDHmut glioma promoters paradoxically lost histone acetylation. Two mediators of HDACi resistance, YAP and TAZ, were methylated and suppressed in IDHmut gliomas but not in other IDHmut cancers. Inducing YAP or TAZ expression in IDHmut gliomas conferred resistance to HDACi. Finally, belinostat extended in vivo survival only in IDHmut glioma models, not in IDHmut GBM models. Our findings provide a mechanistic rationale for further studies of HDACi in patients with IDHmut glioma, as well as the potential use of YAP/TAZ as a biomarker of HDACi sensitivity in cancers.
Thomas K. Sears, Matthew McCord, Wenxia Wang, Alicia Steffens, Kathleen McCortney, Rahul Chaliparambil, Jann N. Sarkaria, Craig M. Horbinski
Usage data is cumulative from October 2025 through May 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 2,291 | 110 |
| 669 | 30 | |
| Figure | 492 | 0 |
| Table | 62 | 0 |
| Supplemental data | 738 | 15 |
| Citation downloads | 136 | 0 |
| Totals | 4,388 | 155 |
| Total Views | 4,543 | |
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.