ArticleJournal of theoretical biology2014
Ancestral inference in tumors: how much can we know?
Article in Journal of theoretical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 10 citations in OpenAlex.
- A Genetic Bottleneck of Mitochondrial DNA During Human Lymphocyte Development.Molecular biology and evolution · 2022Article
- Quantitative evidence for early metastatic seeding in colorectal cancer.Nature genetics · 2019Article
- Sweepstake evolution revealed by population-genetic analysis of copy-number alterations in single genomes of breast cancer.Royal Society open science · 2017Article
- Simulation framework for generating intratumor heterogeneity patterns in a cancer cell population.PloS one · 2017Article
- Early mutation bursts in colorectal tumors.PloS one · 2017Article
- Simulation-based Bayesian Analysis of Complex Data.Summer Computer Simulation Conference : (SCSC 2015) : 2015 Summer Simulation Multi-Conference (SummerSim'15) : Chicago, Illinois, USA, 26-29 July 2015. Summer Computer Simulation Conference (2015 : Chicago, Illinois) · 2015Article
- Cancer Molecular Evolution.Journal of molecular evolution · 2015Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
A tumor is thought to start from a single cell and genome. Yet genomes in the final tumor are typically heterogeneous. The mystery of this intratumoral heterogeneity (ITH) has not yet been uncovered, but much of this ITH may be secondary to replication errors. Methylation of cytosine bases often exhibits ITH and therefore may encode the ancestry of the tumor. In this study, we measure the passenger methylation patterns of a specific CpG region in 9 colorectal tumors by bisulfite sequencing and apply a tumor development model. Based on our model, we are able to retrieve information regarding the ancestry of each tumor using approximate Bayesian computation. With a large simulation study we explore the conditions under which we can estimate the model parameters, and the initial state of the first transformed cell. Finally we apply our analysis to clinical data to gain insight into the dynamics of tumor formation.
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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.