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Biology subjects

Leete, T.

Publications and source records attributed to Leete, T..

3 recordsLinked to original sources

ELP-dependent expression of MCL1 promotes resistance to EGFR inhibition in triple-negative breast cancer cells

Targeted therapies for the treatment of cancer are generally thought to exploit oncogene addiction, a phenomenon in which a single oncogene controls both the growth and survival of the tumor cell. Many well-validated examples of oncogene addiction exist; however, the utility of oncogene targeted therapies varies substantially by cancer context, even among cancers in which the targeted oncogene is similarly dysregulated. For instance, epidermal growth factor receptor (EGFR) signaling can be effectively targeted in EGFR-mutant non-small cell lung cancer (NSCLC), but not in triple-negative breast cancer (TNBC), where EGFR is activated to a similar degree. We find that EGFR controls a similar signaling/transcriptional network in TNBC and EGFR-mutant NSCLC cells, but only NSCLC cells respond to EGFR inhibition by activating cell death. To address this paradox and identify mechanisms that contribute to insensitivity to EGFR inhibition in TNBC, we performed a genome-wide CRISPR-Cas9 genetic knockout screen. Our screen identifies the Elongator (ELP) complex as a mediator of insensitivity to EGFR inhibition in TNBC. Depleting ELP proteins caused high levels of apoptotic cell death, in an EGFR inhibition-dependent manner. We find that the tRNA-modifying function of the ELP complex promotes drug insensitivity, by facilitating expression of the anti-apoptotic protein MCL1. Furthermore, pharmacological inhibition of MCL1 synergizes with EGFR inhibition across a panel of genetically diverse TNBC cells. Taken together, we find that TNBC "addiction" to EGFR signaling is masked by the ELP complex, and our study provides an actionable therapeutic strategy to overcome this resistance mechanism by co-targeting EGFR and MCL1. One sentence summaryThe Elongator Protein (ELP) Complex masks TNBC oncogene "addiction" to EGFR signaling, by promoting expression of the anti-apoptotic protein MCL1.

cancer biology↗

Next-generation cytosine base editors with minimized unguided DNA and RNA off-target events and high on-target activity

Abstract/introductory paragraphCytosine base editors (CBEs) are molecular machines which enable efficient and programmable reversion of T*A to C*G point mutations in the human genome without induction of DNA double strand breaks1, 2. Recently, the foundational cytosine base editor (CBE) BE3, containing rAPOBEC1, was reported to induce unguided, genomic DNA3, 4 and cellular RNA5 cytosine deamination when expressed in living cells. To mitigate spurious off-target events, we developed a sensitive, high-throughput cellular assay to select next-generation CBEs that display reduced spurious deamination profiles relative to rAPOBEC1-based CBEs, whilst maintaining equivalent or superior on-target editing frequencies. We screened 153 CBEs containing cytidine deaminase enzymes with diverse sequences and identified four novel CBEs with the most promising on/off target ratios. These spurious-deamination-minimized CBEs (BE4 with either RrA3F, AmAPOBEC1, SsAPOBEC3B, or PpAPOBEC1) were further optimized for superior on- and off-target DNA editing profiles through structure-guided mutagenesis of the deaminase domain. These next-generation CBEs display comparable overall DNA on-target editing frequencies, whilst eliciting a 10- to 49-fold reduction in C-to-U edits in the transcriptome of treated cells, and up to a 33-fold overall reduction in unguided off-target DNA deamination relative to BE4 containing rAPOBEC1. Taken together, these next-generation CBEs represent a new collection of base editing tools for applications in which minimization of spurious deamination is desirable and high on-target activity is required.

genomics↗

Fibroblasts from metastatic sites induce broad-spectrum drug desensitization via modulation of mitochondrial priming

Due to tumor heterogeneity, most believe that effective treatments should be tailored to the features of an individual tumor or tumor subclass. It is still unclear what information should be considered for optimal disease stratification, and most prior work focuses on tumor genomics. Here, we focus on the tumor micro-environment. Using a large-scale co-culture assay optimized to measure drug-induced cell death, we identify tumor-stroma interactions that modulate drug sensitivity. Our data show that the chemo-insensitivity typically associated with aggressive subtypes of breast cancer is not cell intrinsic, but rather a product of tumor-fibroblast interactions. Additionally, we find that fibroblast cells influence tumor drug response in two distinct and divergent manners, which were predicable based on the anatomical origin from which the fibroblasts were harvested. These divergent phenotypes result from modulation of \"mitochondrial priming\" of tumor cells, caused by secretion of inflammatory cytokines, such as IL6 and IL8, from stromal cells.

cancer biology↗