Publications by authors named "Amy E Pomeroy"

Article Synopsis
  • Most aggressive lymphomas are usually treated with combination chemotherapy, like the "CHOP" regimen, which is believed to be optimal when drugs work well together (synergy).
  • Research on PTCL cell lines shows that the CHOP regimen often exhibits antagonistic interactions rather than synergy, leading to questions about how to improve treatment effectiveness.
  • Surprisingly, concurrent administration of these drugs still leads to maximum tumor cell kill, and this can be explained using the linear-quadratic model from radiology, suggesting that even with negative interactions, the way drugs are given can result in better clinical outcomes.
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Unlabelled: Combination therapy is an important part of cancer treatment and is often employed to overcome or prevent drug resistance. Preclinical screening strategies often prioritize synergistic drug combinations; however, studies of antibiotic combinations show that synergistic drug interactions can accelerate the emergence of resistance because resistance to one drug depletes the effect of both. In this study, we aimed to determine whether synergy drives the development of resistance in cancer cell lines using live-cell imaging.

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Most aggressive lymphomas are treated with combination chemotherapy, commonly as multiple cycles of concurrent drug administration. Concurrent administration is in theory optimal when combination therapies have synergistic (more than additive) drug interactions. We investigated pharmacodynamic interactions in the standard 4-drug 'CHOP' regimen in Peripheral T-Cell Lymphoma (PTCL) cell lines, and found that CHOP consistently exhibits antagonism and not synergy.

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Combination chemotherapy can cure certain leukemias and lymphomas, but most solid cancers are only curable at early stages. We review quantitative principles that explain the benefits of combining independently active cancer therapies in both settings. Understanding the mechanistic principles underlying curative treatments, including those developed many decades ago, is valuable for improving future combination therapies.

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Article Synopsis
  • Cells process environmental signals through complex pathways that use feedback and feedforward mechanisms to adapt to changes.
  • Mathematical models of these pathways often struggle to predict outcomes due to a lack of diverse training data across different time scales.
  • The research involved measuring transcriptional changes in response to pheromones, leading to the development of a more predictive model that highlights the roles of various network components in gene expression regulation.
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The pheromone response pathway of the yeast Saccharomyces cerevisiae is a well-established model for the study of G proteins and mitogen-activated protein kinase (MAPK) cascades. Our longstanding ability to combine sophisticated genetic approaches with established functional assays has provided a thorough understanding of signalling mechanisms and regulation. In this report, we compare new and established methods used to quantify pheromone-dependent MAPK phosphorylation, transcriptional induction, mating morphogenesis, and gradient tracking.

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The transcription factor NF-κB plays an important role in the immune system, apoptosis and inflammation. Dorsal, a homolog of NF-κB, patterns the dorsal-ventral axis in the blastoderm embryo. During this stage, Dorsal is sequestered outside the nucleus by the IκB homolog Cactus.

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