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Biology subjects

LaFave, L.

Publications and source records attributed to LaFave, L..

3 recordsLinked to original sources

PRMT5 inhibitors actively promote metastatic progression of lung adenocarcinoma

Epigenetic changes are a major driver of cancer progression, placing considerable focus on epigenetic regulators as therapeutic targets. Protein arginine methyltransferase 5 (PRMT5) is one such regulator, and numerous PRMT5 inhibitors (PRMT5i) in clinical trials. Despite this, the mechanisms and consequences of PRMT5i-resistance are unknown. Here, we demonstrate that aggressive cancer progression is an inbuilt feature of PRMT5i-resistance acquisition in lung adenocarcinoma (LUAD). Independently-generated resistant cell lines gain dedifferentiation signatures that typify late-stage disease and show increased metastatic potential in vivo. We establish that these state shifts are a direct consequence of PRMT5i action; treatment induces rapid and widespread chromatin rewiring, enabling derepression of late-stage disease states that are stably established in resistant cells. Notably, treatment of lung tumor-bearing mice drives rapid disease advancement without decreasing tumor burden, showing that drug-induced disease progression supersedes any benefits from PRMT5 inhibition in vivo. Furthermore, analyses of human cell lines and patient cohorts supports the notion of PRMT5 inhibition-mediated dedifferentiation. Collectively our data show that PRMT5i can actively promote self-resistance and disease progression in different tumor types. This raises serious concerns for the use of PRMT5i in patients, arguing that clinical studies should consider the possibility of drug-induced plasticity, resistance, and disease advancement.

cancer biology↗

Senescent fibroblasts in the tumor stroma rewire lung cancer metabolism and plasticity

Senescence has been demonstrated to either inhibit or promote tumorigenesis. Resolving this paradox requires spatial mapping and functional characterization of senescent cells in the native tumor niche. Here, we identified senescent p16Ink4a+ cancer-associated fibroblasts with a secretory phenotype that promotes fatty acid uptake and utilization by aggressive lung adenocarcinoma driven by Kras and p53 mutations. Furthermore, rewiring of lung cancer metabolism by p16Ink4a+ cancer- associated fibroblasts also altered tumor cell identity to a highly plastic/dedifferentiated state associated with progression in murine and human LUAD. Our ex vivo senolytic screening platform identified XL888, a HSP90 inhibitor, that cleared p16Ink4a+ cancer- associated fibroblasts in vivo. XL888 administration after establishment of advanced lung adenocarcinoma significantly reduced tumor burden concurrent with the loss of plastic tumor cells. Our study identified a druggable component of the tumor stroma that fulfills the metabolic requirement of tumor cells to acquire a more aggressive phenotype.

cancer biology↗

Chromatin potential identified by shared single cell profiling of RNA and chromatin

Cell differentiation and function are regulated across multiple layers of gene regulation, including the modulation of gene expression by changes in chromatin accessibility. However, differentiation is an asynchronous process precluding a temporal understanding of the regulatory events leading to cell fate commitment. Here, we developed SHARE-seq, a highly scalable approach for measurement of chromatin accessibility and gene expression within the same single cell. Using 34,774 joint profiles from mouse skin, we develop a computational strategy to identify cis-regulatory interactions and define Domains of Regulatory Chromatin (DORCs), which significantly overlap with super-enhancers. We show that during lineage commitment, chromatin accessibility at DORCs precedes gene expression, suggesting changes in chromatin accessibility may prime cells for lineage commitment. We therefore develop a computational strategy (chromatin potential) to quantify chromatin lineage-priming and predict cell fate outcomes. Together, SHARE-seq provides an extensible platform to study regulatory circuitry across diverse cells within tissues.

genomics↗