Literature DB >> 35966389

SITH: An R package for visualizing and analyzing a spatial model of intratumor heterogeneity.

Phillip B Nicol1, Dániel L Barabási2, Kevin R Coombes3, Amir Asiaee4.   

Abstract

Cancer progression, including the development of intratumor heterogeneity, is inherently a spatial process. Mathematical models of tumor evolution may be a useful starting point for understanding the patterns of heterogeneity that can emerge in the presence of spatial growth. A commonly studied spatial growth model assumes that tumor cells occupy sites on a lattice and replicate into neighboring sites. Our R package SITH provides a convenient interface for exploring this model. Our efficient simulation algorithm allows for users to generate 3D tumors with millions of cells in under a minute. For visualizing the distribution of mutations throughout the tumor, SITH provides interactive graphics and summary plots. Additionally, SITH can produce synthetic bulk and single-cell DNA-seq datasets by sampling from the simulated tumor. A streamlined API makes SITH a useful tool for investigating the relationship between spatial growth and intratumor heterogeneity. SITH is a part of CRAN and can be installed by running install.packages("SITH") from the R console. See https://CRAN.R-project.org/package=SITH for the user manual and package vignette.

Entities:  

Keywords:  Tumor evolution; sequencing; simulation

Year:  2022        PMID: 35966389      PMCID: PMC9374116          DOI: 10.1002/cso2.1033

Source DB:  PubMed          Journal:  Comput Syst Oncol        ISSN: 2689-9655


  8 in total

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Authors:  Russell Schwartz; Alejandro A Schäffer
Journal:  Nat Rev Genet       Date:  2017-02-13       Impact factor: 53.242

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Authors:  Bartlomiej Waclaw; Ivana Bozic; Meredith E Pittman; Ralph H Hruban; Bert Vogelstein; Martin A Nowak
Journal:  Nature       Date:  2015-08-26       Impact factor: 49.962

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Authors:  Niko Beerenwinkel; Roland F Schwarz; Moritz Gerstung; Florian Markowetz
Journal:  Syst Biol       Date:  2014-10-07       Impact factor: 15.683

Review 5.  Overview on Clinical Relevance of Intra-Tumor Heterogeneity.

Authors:  Giorgio Stanta; Serena Bonin
Journal:  Front Med (Lausanne)       Date:  2018-04-06

6.  How many samples are needed to infer truly clonal mutations from heterogenous tumours?

Authors:  Luka Opasic; Da Zhou; Benjamin Werner; David Dingli; Arne Traulsen
Journal:  BMC Cancer       Date:  2019-04-29       Impact factor: 4.430

7.  Consecutive seeding and transfer of genetic diversity in metastasis.

Authors:  Alexander Heyde; Johannes G Reiter; Kamila Naxerova; Martin A Nowak
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-25       Impact factor: 11.205

8.  Spatially constrained tumour growth affects the patterns of clonal selection and neutral drift in cancer genomic data.

Authors:  Ketevan Chkhaidze; Timon Heide; Benjamin Werner; Marc J Williams; Weini Huang; Giulio Caravagna; Trevor A Graham; Andrea Sottoriva
Journal:  PLoS Comput Biol       Date:  2019-07-29       Impact factor: 4.475

  8 in total

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