2115897-23-7Relevant articles and documents
Identifying transcriptional programs underlying cancer drug response with TraCe-seq
Chang, Matthew T.,Shanahan, Frances,Nguyen, Thi Thu Thao,Staben, Steven T.,Gazzard, Lewis,Yamazoe, Sayumi,Wertz, Ingrid E.,Piskol, Robert,Yang, Yeqing Angela,Modrusan, Zora,Haley, Benjamin,Evangelista, Marie,Malek, Shiva,Foster, Scott A.,Ye, Xin
, p. 86 - 93 (2021/09/25)
Genetic and non-genetic heterogeneity within cancer cell populations represent major challenges to anticancer therapies. We currently lack robust methods to determine how preexisting and adaptive features affect cellular responses to therapies. Here, by conducting clonal fitness mapping and transcriptional characterization using expressed barcodes and single-cell RNA sequencing (scRNA-seq), we have developed tracking differential clonal response by scRNA-seq (TraCe-seq). TraCe-seq is a method that captures at clonal resolution the origin, fate and differential early adaptive transcriptional programs of cells in a complex population in response to distinct treatments. We used TraCe-seq to benchmark how next-generation dual epidermal growth factor receptor (EGFR) inhibitor–degraders compare to standard EGFR kinase inhibitors in EGFR-mutant lung cancer cells. We identified a loss of antigrowth activity associated with targeted degradation of EGFR protein and an essential role of the endoplasmic reticulum (ER) protein processing pathway in anti-EGFR therapeutic efficacy. Our results suggest that targeted degradation is not always superior to enzymatic inhibition and establish TraCe-seq as an approach to study how preexisting transcriptional programs affect treatment responses.
SYSTEMS AND METHODS TO TRACK THE EVOLUTION OF SINGLE CELLS
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Paragraph 0142-0144, (2021/09/26)
Cells in a given population often display heterogeneity that may affect how each cell responds to a particular treatment or growth condition. The methods described herein allow determination of which cells from an initial population survive a treatment or condition, and how surviving cells evolve over time. For example, the methods described herein may be used to model drug resistance, response and/or adaptation in a cell population.
Design, Synthesis, and Evaluation of VHL-Based EZH2 Degraders to Enhance Therapeutic Activity against Lymphoma
Tu, Yalin,Sun, Yameng,Qiao, Shuang,Luo, Yao,Liu, Panpan,Jiang, Zhong-Xing,Hu, Yumin,Wang, Zifeng,Huang, Peng,Wen, Shijun
, p. 10167 - 10184 (2021/07/26)
Traditional EZH2 inhibitors are developed to suppress the enzymatic methylation activity, and they may have therapeutic limitations due to the nonenzymatic functions of EZH2 in cancer development. Here, we report proteolysis-target chimera (PROTAC)-based EZH2 degraders to target the whole EZH2 in lymphoma. Two series of EZH2 degraders were designed and synthesized to hijack E3 ligase systems containing either von Hippel-Lindau (VHL) or cereblon (CRBN), and some VHL-based compounds were able to mediate EZH2 degradation. Two best degraders, YM181 and YM281, induced robust cell viability inhibition in diffuse large B-cell lymphoma (DLBCL) and other subtypes of lymphomas, outperforming a clinically used EZH2 inhibitor EPZ6438 (tazemetostat) that was only effective against DLBCL. The EZH2 degraders displayed promising antitumor activities in lymphoma xenografts and patient-derived primary lymphoma cells. Our study demonstrates that EZH2 degraders have better therapeutic activity than EZH2 inhibitors, which may provide a potential anticancer strategy to treat lymphoma.
