ArticleOpen biology2017
Cancer cells exhibit clonal diversity in phenotypic plasticity.
Article in Open biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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.
The trial behind it
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
25 citing papers in PubMed.
- The Great Escape: the systems biology of endocrine resistance and lineage plasticity.Endocrine-related cancer · 2026Review
- The impact of chronic exposure to cigarette and waterpipe smoke extracts on telomeres, telomerase, and cancer progression.Frontiers in genetics · 2026Article
- Advancements in prospective single-cell lineage barcoding and their applications in research.Genome research · 2024Review
- Advancing cancer drug development with mechanistic mathematical modeling: bridging the gap between theory and practice.Journal of pharmacokinetics and pharmacodynamics · 2024Review
- The epithelial-mesenchymal plasticity landscape: principles of design and mechanisms of regulation.Nature reviews. Genetics · 2023Review
- Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research.Nature communications · 2022Article
- Review
- Article
- Transition Therapy: Tackling the Ecology of Tumor Phenotypic Plasticity.Bulletin of mathematical biology · 2021Article
- Morphological features of single cells enable accurate automated classification of cancer from non-cancer cell lines.Scientific reports · 2021Article
- Detection of phenotype-specific therapeutic vulnerabilities in breast cells using a CRISPR loss-of-function screen.Molecular oncology · 2021Article
- The impact of phenotypic heterogeneity of tumour cells on treatment and relapse dynamics.PLoS computational biology · 2021Article
- Therapeutically Targeting Cancers That Overexpress FOXC1: A Transcriptional Driver of Cell Plasticity, Partial EMT, and Cancer Metastasis.Frontiers in oncology · 2021Review
- Methodological Advancements for Investigating Intra-tumoral Heterogeneity in Breast Cancer at the Bench and Bedside.Journal of mammary gland biology and neoplasia · 2020Article
- Improved detection of differentially represented DNA barcodes for high-throughput clonal phenomics.Molecular systems biology · 2020Article
- Cellular Plasticity in Breast Cancer Progression and Therapy.Frontiers in molecular biosciences · 2020Review
- New Insights Into the Role of Phenotypic Plasticity and EMT in Driving Cancer Progression.Frontiers in molecular biosciences · 2020Review
- Heterogeneity of Vascular Endothelial Cells, De Novo Arteriogenesis and Therapeutic Implications in Pancreatic Neuroendocrine Tumors.Journal of clinical medicine · 2019Review
- Interrogation of Phenotypic Plasticity between Epithelial and Mesenchymal States in Breast Cancer.Journal of clinical medicine · 2019Article
- Contribution of Epithelial Plasticity to Therapy Resistance.Journal of clinical medicine · 2019Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Phenotypic heterogeneity in cancers is associated with invasive progression and drug resistance. This heterogeneity arises in part from the ability of cancer cells to switch between phenotypic states, but the dynamics of this cellular plasticity remain poorly understood. Here we apply DNA barcodes to quantify and track phenotypic plasticity across hundreds of clones in a population of cancer cells exhibiting epithelial or mesenchymal differentiation phenotypes. We find that the epithelial-to-mesenchymal cell ratio is highly variable across the different clones in cancer cell populations, but remains stable for many generations within the progeny of any single clone-with a heritability of 0.89. To estimate the effects of combination therapies on phenotypically heterogeneous tumours, we generated quantitative simulations incorporating empirical data from our barcoding experiments. These analyses indicated that combination therapies which alternate between epithelial- and mesenchymal-specific treatments eventually select for clones with increased phenotypic plasticity. However, this selection could be minimized by increasing the frequency of alternation between treatments, identifying designs that may minimize selection for increased phenotypic plasticity. These findings establish new insights into phenotypic plasticity in cancer, and suggest design principles for optimizing the effectiveness of combination therapies for phenotypically heterogeneous tumours.
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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.