YAP and TAZ, key effectors of the Hippo pathway, are often hyperactivated in cancer, promoting tumor progression and therapy resistance. Their oncogenic role depends on interaction with TEAD transcription factors, making the TEAD-YAP/TAZ complex a promising therapeutic target. Using translational mouse models, we showed here that sustained systemic YAP/TAZ depletion caused severe side effects. These could be avoided through pulsed inhibition, which effectively suppressed tumor growth, even at advanced stages. We identified Tgfb2 as a critical YAP/TAZ target gene for tumor formation and demonstrated that YAP/TAZ drove T cell exclusion via activation of tissue remodeling genes. Consequently, YAP/TAZ inhibition enhanced immune cell infiltration. However, infiltrating T cells rapidly underwent exhaustion. Combining YAP/TAZ inhibition with immune checkpoint blockade (ICB) reversed this exhaustion and sensitized resistant tumors to immunotherapy. This combination reshaped the tumor microenvironment to support immune cell infiltration and activation, representing a therapeutic strategy that maximizes anti-tumor immunity while minimizing toxicity.
Marco Jessen, KyungMok Kim, Marie Tollot-Wegner, Anita Cindric Vranesic, Cagla Dönmez, Celina Junker, Tina Lehmann, Advitiya Khandelwal, Yuliya Kurlishchuk, Tom Hünniger, Christin Ritter, Evaristo Di Napoli, Shyam Murali, Konrad Bücking, Viktoria Haug, Sabine Muth, Tracy T. Tang, Andreas Rosenwald, Markus Radsak, Donato Inverso, Tanja Deckert-Gaudig, Volker Deckert, Orlando Paciello, Björn von Eyss
Usage data is cumulative from July 2026 through July 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 315 | 0 |
| 140 | 0 | |
| Supplemental data | 37 | 0 |
| Citation downloads | 17 | 0 |
| Totals | 509 | 0 |
| Total Views | 509 | |
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.