ArticleNature2018
Genetic and transcriptional evolution alters cancer cell line drug response.
Article in Nature, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 563 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
563 citing papers in PubMed.
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- A platform of serially transplantable AML PDX models covering subgroups for which no cell lines exist.HemaSphere · 2026Article
- Hierarchical modeling of tumor subtypes in cell lines using large-scale genomic datasets.iScience · 2026Article
- Current Perspectives on 2D and 3D Cell Culture Models in Cancer Research: Molecular Determinants of Tumor Biology and Therapeutic Response.Current issues in molecular biology · 2026Review
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- Humoral immunity in cancer.Signal transduction and targeted therapy · 2026Review
- map3C: a computational tool for processing multiomic single-cell Hi-C data.Bioinformatics (Oxford, England) · 2026Article
- Harnessing human tumor organoids for cancer modeling and precision therapy.Protein & cell · 2026Review
- A Personalized Haplotype-Resolved Near-Gapless Genome Framework for Somatic Variant Discovery in Hepatocellular Carcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Tumor heterogeneity: development, mechanisms, and therapeutic implications.Signal transduction and targeted therapy · 2026Review
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- Lung organoids and organ-on-a-chip models in respiratory disease research: advances, applications, and challenges.Respiratory research · 2026Review
- A High-Fidelity and Ancestrally Inclusive Patient-Derived Organoid Platform Resolves Cancer Cell Plasticity in Uterine Carcinosarcoma.bioRxiv : the preprint server for biology · 2026Article
- Organoids in Cancer Research: Current Applications, Limitations, and Technological Advances.Journal of chest surgery · 2026Review
- Impact of static and dynamic magneto-mechanical stimulation with vortex microdiscs on glioblastoma cells cultured on 2D substrates with physiological stiffness.Nanoscale advances · 2026Article
- Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.Genetic epidemiology · 2026Article
503 more citing papers are in PubMed but not listed here.
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30 authors.
Funding
Abstract
Human cancer cell lines are the workhorse of cancer research. Although cell lines are known to evolve in culture, the extent of the resultant genetic and transcriptional heterogeneity and its functional consequences remain understudied. Here we use genomic analyses of 106 human cell lines grown in two laboratories to show extensive clonal diversity. Further comprehensive genomic characterization of 27 strains of the common breast cancer cell line MCF7 uncovered rapid genetic diversification. Similar results were obtained with multiple strains of 13 additional cell lines. Notably, genetic changes were associated with differential activation of gene expression programs and marked differences in cell morphology and proliferation. Barcoding experiments showed that cell line evolution occurs as a result of positive clonal selection that is highly sensitive to culture conditions. Analyses of single-cell-derived clones demonstrated that continuous instability quickly translates into heterogeneity of the cell line. When the 27 MCF7 strains were tested against 321 anti-cancer compounds, we uncovered considerably different drug responses: at least 75% of compounds that strongly inhibited some strains were completely inactive in others. This study documents the extent, origins and consequences of genetic variation within cell lines, and provides a framework for researchers to measure such variation in efforts to support maximally reproducible cancer research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.