Elena Grassi, Valentina Vurchio, George D. Cresswell, Irene Catalano, Barbara Lupo, Francesco Sassi, Francesco Galimi, Sofia Borgato, Martina Ferri, Marco Viviani, Simone Pompei, Gianvito Urgese, Bingjie Chen, Eugenia R. Zanella, Francesca Cottino, Mariangela Russo, Gianluca Mauri, Filippo Pietrantonio, Maria Giulia Zampino, Luca Lazzari, Silvia Marsoni, Alberto Bardelli, Marco Cosentino Lagomarsino, Andrea Sottoriva, Livio Trusolino, Andrea Bertotti
{"title":"微卫星稳定型结直肠癌DNA突变率的异质性和进化","authors":"Elena Grassi, Valentina Vurchio, George D. Cresswell, Irene Catalano, Barbara Lupo, Francesco Sassi, Francesco Galimi, Sofia Borgato, Martina Ferri, Marco Viviani, Simone Pompei, Gianvito Urgese, Bingjie Chen, Eugenia R. Zanella, Francesca Cottino, Mariangela Russo, Gianluca Mauri, Filippo Pietrantonio, Maria Giulia Zampino, Luca Lazzari, Silvia Marsoni, Alberto Bardelli, Marco Cosentino Lagomarsino, Andrea Sottoriva, Livio Trusolino, Andrea Bertotti","doi":"10.1126/scitranslmed.ado1641","DOIUrl":null,"url":null,"abstract":"<div >Historically, DNA sequence mutability has been considered relatively uniform and low in tumors with chromosomal instability (CIN), based on the assumption that high mutability would be detrimental in karyotypically aberrant contexts. Recent in silico analyses have challenged this view, suggesting some heterogeneity in mutation rates across CIN tumors; however, these predictions lack experimental validation. It also remains unclear how the intertumor variability of mutation rates compares to intratumor diversification and evolves along disease progression, whether mutation rates are functionally relevant in CIN cancers, and which mutational processes shape mutational accrual during CIN tumor onset and evolution. To address these gaps, we performed mutation accumulation experiments using clonal populations of patient-derived tumoroids from seven CIN, microsatellite-stable colorectal cancers (CRCs), and one microsatellite-unstable CRC. Each tumor exhibited a distinctive mutation rate footprint that was conserved among different clones from the same ancestor. In contrast, mutation rates diverged markedly across different tumors, with variations in magnitude within microsatellite-stable tumors as prominent as those distinguishing them from microsatellite-unstable tumors. New mutations reflected mutational processes associated with defective DNA replication and repair, which were not detected in normal tissues. Last, both mutation accumulation assays and high-depth whole-exome sequencing of subclonal variants showed higher mutation rates in metastatic lesions compared with matched primary tumors, suggesting positive selection for cells with increasing mutability during cancer dissemination. By providing an empirical assessment of mutation rates in human cancer, our data delineate heterogeneity, heritability, and progression-associated evolvability of DNA mutational instability as hallmarks of microsatellite-stable CRC.</div>","PeriodicalId":21580,"journal":{"name":"Science Translational Medicine","volume":"17 799","pages":""},"PeriodicalIF":15.8000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Heterogeneity and evolution of DNA mutation rates in microsatellite stable colorectal cancer\",\"authors\":\"Elena Grassi, Valentina Vurchio, George D. Cresswell, Irene Catalano, Barbara Lupo, Francesco Sassi, Francesco Galimi, Sofia Borgato, Martina Ferri, Marco Viviani, Simone Pompei, Gianvito Urgese, Bingjie Chen, Eugenia R. Zanella, Francesca Cottino, Mariangela Russo, Gianluca Mauri, Filippo Pietrantonio, Maria Giulia Zampino, Luca Lazzari, Silvia Marsoni, Alberto Bardelli, Marco Cosentino Lagomarsino, Andrea Sottoriva, Livio Trusolino, Andrea Bertotti\",\"doi\":\"10.1126/scitranslmed.ado1641\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div >Historically, DNA sequence mutability has been considered relatively uniform and low in tumors with chromosomal instability (CIN), based on the assumption that high mutability would be detrimental in karyotypically aberrant contexts. Recent in silico analyses have challenged this view, suggesting some heterogeneity in mutation rates across CIN tumors; however, these predictions lack experimental validation. It also remains unclear how the intertumor variability of mutation rates compares to intratumor diversification and evolves along disease progression, whether mutation rates are functionally relevant in CIN cancers, and which mutational processes shape mutational accrual during CIN tumor onset and evolution. To address these gaps, we performed mutation accumulation experiments using clonal populations of patient-derived tumoroids from seven CIN, microsatellite-stable colorectal cancers (CRCs), and one microsatellite-unstable CRC. Each tumor exhibited a distinctive mutation rate footprint that was conserved among different clones from the same ancestor. In contrast, mutation rates diverged markedly across different tumors, with variations in magnitude within microsatellite-stable tumors as prominent as those distinguishing them from microsatellite-unstable tumors. New mutations reflected mutational processes associated with defective DNA replication and repair, which were not detected in normal tissues. Last, both mutation accumulation assays and high-depth whole-exome sequencing of subclonal variants showed higher mutation rates in metastatic lesions compared with matched primary tumors, suggesting positive selection for cells with increasing mutability during cancer dissemination. By providing an empirical assessment of mutation rates in human cancer, our data delineate heterogeneity, heritability, and progression-associated evolvability of DNA mutational instability as hallmarks of microsatellite-stable CRC.</div>\",\"PeriodicalId\":21580,\"journal\":{\"name\":\"Science Translational Medicine\",\"volume\":\"17 799\",\"pages\":\"\"},\"PeriodicalIF\":15.8000,\"publicationDate\":\"2025-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science Translational Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.science.org/doi/10.1126/scitranslmed.ado1641\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Translational Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.science.org/doi/10.1126/scitranslmed.ado1641","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
Heterogeneity and evolution of DNA mutation rates in microsatellite stable colorectal cancer
Historically, DNA sequence mutability has been considered relatively uniform and low in tumors with chromosomal instability (CIN), based on the assumption that high mutability would be detrimental in karyotypically aberrant contexts. Recent in silico analyses have challenged this view, suggesting some heterogeneity in mutation rates across CIN tumors; however, these predictions lack experimental validation. It also remains unclear how the intertumor variability of mutation rates compares to intratumor diversification and evolves along disease progression, whether mutation rates are functionally relevant in CIN cancers, and which mutational processes shape mutational accrual during CIN tumor onset and evolution. To address these gaps, we performed mutation accumulation experiments using clonal populations of patient-derived tumoroids from seven CIN, microsatellite-stable colorectal cancers (CRCs), and one microsatellite-unstable CRC. Each tumor exhibited a distinctive mutation rate footprint that was conserved among different clones from the same ancestor. In contrast, mutation rates diverged markedly across different tumors, with variations in magnitude within microsatellite-stable tumors as prominent as those distinguishing them from microsatellite-unstable tumors. New mutations reflected mutational processes associated with defective DNA replication and repair, which were not detected in normal tissues. Last, both mutation accumulation assays and high-depth whole-exome sequencing of subclonal variants showed higher mutation rates in metastatic lesions compared with matched primary tumors, suggesting positive selection for cells with increasing mutability during cancer dissemination. By providing an empirical assessment of mutation rates in human cancer, our data delineate heterogeneity, heritability, and progression-associated evolvability of DNA mutational instability as hallmarks of microsatellite-stable CRC.
期刊介绍:
Science Translational Medicine is an online journal that focuses on publishing research at the intersection of science, engineering, and medicine. The goal of the journal is to promote human health by providing a platform for researchers from various disciplines to communicate their latest advancements in biomedical, translational, and clinical research.
The journal aims to address the slow translation of scientific knowledge into effective treatments and health measures. It publishes articles that fill the knowledge gaps between preclinical research and medical applications, with a focus on accelerating the translation of knowledge into new ways of preventing, diagnosing, and treating human diseases.
The scope of Science Translational Medicine includes various areas such as cardiovascular disease, immunology/vaccines, metabolism/diabetes/obesity, neuroscience/neurology/psychiatry, cancer, infectious diseases, policy, behavior, bioengineering, chemical genomics/drug discovery, imaging, applied physical sciences, medical nanotechnology, drug delivery, biomarkers, gene therapy/regenerative medicine, toxicology and pharmacokinetics, data mining, cell culture, animal and human studies, medical informatics, and other interdisciplinary approaches to medicine.
The target audience of the journal includes researchers and management in academia, government, and the biotechnology and pharmaceutical industries. It is also relevant to physician scientists, regulators, policy makers, investors, business developers, and funding agencies.