Epigenetic Heritability of Cell Plasticity Drives Cancer Drug Resistance through a One-to-Many Genotype-to-Phenotype Paradigm

IF 12.5 1区 医学 Q1 ONCOLOGY
Erica A. Oliveira, Salvatore Milite, Javier Fernandez-Mateos, George D. Cresswell, Erika Yara-Romero, Georgios Vlachogiannis, Bingjie Chen, Chela T. James, Lucrezia Patruno, Gianluca Ascolani, Ahmet Acar, Timon Heide, Inmaculada Spiteri, Alex Graudenzi, Giulio Caravagna, Andrea Bertotti, Trevor A. Graham, Luca Magnani, Nicola Valeri, Andrea Sottoriva
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引用次数: 0

Abstract

Cancer drug resistance is multi-factorial, driven by heritable (epi)genetic changes but also phenotypic plasticity. Here, we dissected drivers of resistance by perturbing colorectal cancer patient-derived organoids longitudinally with drugs in sequence. Combined longitudinal lineage tracking, single cell multi-omics analysis, evolutionary modelling, and machine learning revealed that different targeted drugs select for distinct subclones, supporting rationally designed drug sequences. The cellular memory of drug resistance was encoded as a heritable epigenetic configuration from which multiple transcriptional programs could run, supporting a one-to-many (epi)genotype-to-phenotype map that explains how clonal expansions and plasticity manifest together. This epigenetic landscape may ensure drug resistant subclones can exhibit distinct phenotypes in changing environments while still preserving the cellular memory encoding for their selective advantage. Chemotherapy resistance was instead entirely driven by transient phenotypic plasticity rather than stable clonal selection. Inducing further chromosomal instability before drug application changed clonal evolution but not convergent transcriptional programs. Collectively, these data show how genetic and epigenetic alterations are selected to engender a "permissive epigenome” that enables phenotypic plasticity.
细胞可塑性的表观遗传力通过一对多基因型-表型范式驱动癌症耐药
癌症耐药是多因素的,由遗传(epi)遗传变化和表型可塑性驱动。在这里,我们通过按顺序用药物纵向干扰结直肠癌患者来源的类器官来解剖耐药的驱动因素。结合纵向谱系追踪、单细胞多组学分析、进化建模和机器学习,揭示了不同的靶向药物选择不同的亚克隆,支持合理设计药物序列。耐药的细胞记忆被编码为一种可遗传的表观遗传配置,多个转录程序可以从中运行,支持一对多(epi)基因型-表型图谱,解释了克隆扩增和可塑性如何共同表现。这种表观遗传格局可以确保耐药亚克隆在不断变化的环境中表现出不同的表型,同时仍然保留细胞记忆编码,以保持其选择优势。化疗耐药完全是由短暂的表型可塑性而不是稳定的克隆选择驱动的。在药物应用前诱导进一步的染色体不稳定性改变了克隆进化,但没有改变聚合转录程序。总的来说,这些数据显示了遗传和表观遗传改变是如何被选择来产生一个“允许的表观基因组”,从而实现表型可塑性。
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来源期刊
Cancer research
Cancer research 医学-肿瘤学
CiteScore
16.10
自引率
0.90%
发文量
7677
审稿时长
2.5 months
期刊介绍: Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research. With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445. Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.
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