Literature DB >> 16488894

On estimating the polyclonal fraction in lineage-marker studies of tumor origin.

Michael A Newton1.   

Abstract

Insight into the biology of tumor formation is provided by studies which demonstrate through the use of cell-lineage markers that some tumors have a polyclonal origin. Novelli et al. (1996) proposed to use the proportion of heterotypic tumors among the tumors that are either heterotypic or pure and of the minority marker type as a lower bound on the marginal fraction of polyclonal tumors. Generally, Novelli's ratio does not provide a valid lower bound for the marginal polyclonal fraction, as we demonstrate by analyzing relevant conditional probabilities. Estimation of the polyclonal fraction requires modeling assumptions on the distribution of the number of involved clones. Using three elementary models, we develop maximum likelihood estimation of the polyclonal fraction. We establish robustness of our estimates to misspecification of the clone-marking process, though the estimates are sensitive to assumptions about polyclonal mechanisms. On data from several published studies, our estimates of the polyclonal fraction are substantially smaller than Novelli's ratio.

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Year:  2006        PMID: 16488894     DOI: 10.1093/biostatistics/kxj022

Source DB:  PubMed          Journal:  Biostatistics        ISSN: 1465-4644            Impact factor:   5.899


  4 in total

Review 1.  From gene mutations to tumours--stem cells in gastrointestinal carcinogenesis.

Authors:  S J Leedham; S Schier; A T Thliveris; R B Halberg; M A Newton; N A Wright
Journal:  Cell Prolif       Date:  2005-12       Impact factor: 6.831

Review 2.  Polyclonal tumors in the mammalian intestine: are interactions among multiple initiated clones necessary for tumor initiation, growth, and progression?

Authors:  Richard B Halberg; William F Dove
Journal:  Cell Cycle       Date:  2007-01-28       Impact factor: 4.534

3.  Polyclonality of familial murine adenomas: analyses of mouse chimeras with low tumor multiplicity suggest short-range interactions.

Authors:  Andrew T Thliveris; Richard B Halberg; Linda Clipson; William F Dove; Ruth Sullivan; Mary Kay Washington; Stephen Stanhope; Michael A Newton
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-03       Impact factor: 11.205

Review 4.  Lineage tracing in human tissues.

Authors:  Calum Gabbutt; Nicholas A Wright; Ann-Marie Baker; Darryl Shibata; Trevor A Graham
Journal:  J Pathol       Date:  2022-05-05       Impact factor: 9.883

  4 in total

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