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
{"title":"Epigenetic Heritability of Cell Plasticity Drives Cancer Drug Resistance through a One-to-Many Genotype-to-Phenotype Paradigm","authors":"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","doi":"10.1158/0008-5472.can-25-0999","DOIUrl":null,"url":null,"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.","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"587 1","pages":""},"PeriodicalIF":12.5000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/0008-5472.can-25-0999","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
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.
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.