ArticleeLife2022
Quantifying chromosomal instability from intratumoral karyotype diversity using agent-based modeling and Bayesian inference.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- SPC24 boosts tumor progression and correlates with immune infiltrates in pancreatic adenocarcinoma.Frontiers in oncology · 2026Article
- ALFA-K: Local adaptive mapping of karyotype fitness landscapes.Nature communications · 2025Article
- Detecting branching rate heterogeneity with tree balance statistics in lineage tracing trees.bioRxiv : the preprint server for biology · 2025Article
- CINner: Modeling and simulation of chromosomal instability in cancer at single-cell resolution.PLoS computational biology · 2025Article
- Cell-cycle dependent DNA repair and replication unifies patterns of chromosome instability.Nature communications · 2025Article
- Article
- Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation.Cancer biology & therapy · 2024Review
- HIV-1 Vif disrupts phosphatase feedback regulation at the kinetochore, leading to a pronounced pseudo-metaphase arrest.bioRxiv : the preprint server for biology · 2024Article
- Low-pass whole genome sequencing of circulating tumor cells to evaluate chromosomal instability in triple-negative breast cancer.Scientific reports · 2024Article
- Targeting chromosomal instability in patients with cancer.Nature reviews. Clinical oncology · 2024Review
- Inference of chromosome selection parameters and missegregation rate in cancer from DNA-sequencing data.Scientific reports · 2024Article
- Oncotree2vec - a method for embedding and clustering of tumor mutation trees.Bioinformatics (Oxford, England) · 2024Article
- The yin and yang of chromosomal instability in prostate cancer.Nature reviews. Urology · 2024Review
- A survey of chromosomal instability measures across mechanistic models.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- CINner: modeling and simulation of chromosomal instability in cancer at single-cell resolution.bioRxiv : the preprint server for biology · 2024Article
- Impact of Resistance on Therapeutic Design: A Moran Model of Cancer Growth.Bulletin of mathematical biology · 2024Article
- The reckoning of chromosomal instability: past, present, future.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2024Review
- Chromosomal instability in aneuploid acute lymphoblastic leukemia associates with disease progression.EMBO molecular medicine · 2024Article
- Disentangling the roles of aneuploidy, chromosomal instability and tumour heterogeneity in developing resistance to cancer therapies.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023Review
- A survey of CIN measures across mechanistic models.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Chromosomal instability (CIN)-persistent chromosome gain or loss through abnormal mitotic segregation-is a hallmark of cancer that drives aneuploidy. Intrinsic chromosome mis-segregation rate, a measure of CIN, can inform prognosis and is a promising biomarker for response to anti-microtubule agents. However, existing methodologies to measure this rate are labor intensive, indirect, and confounded by selection against aneuploid cells, which reduces observable diversity. We developed a framework to measure CIN, accounting for karyotype selection, using simulations with various levels of CIN and models of selection. To identify the model parameters that best fit karyotype data from single-cell sequencing, we used approximate Bayesian computation to infer mis-segregation rates and karyotype selection. Experimental validation confirmed the extensive chromosome mis-segregation rates caused by the chemotherapy paclitaxel (18.5 ± 0.5/division). Extending this approach to clinical samples revealed that inferred rates fell within direct observations of cancer cell lines. This work provides the necessary framework to quantify CIN in human tumors and develop it as a predictive biomarker.
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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.