Literature DB >> 15530488

Evaluation of pathways for progression of heterogeneous breast tumors.

Laura Sontag1, David E Axelrod.   

Abstract

To better understand the progression of heterogeneous breast cancers, four models of progession pathways have been evaluated. The models describe the progression through the grades of ductal carcinoma in situ (DCIS) 1, 2, and 3, and through the grades of invasive ductal carcinoma (IDC) 1, 2, and 3. The first three pathways, termed linear, nonlinear, and branched, describe DCIS as a progenitor of IDC, and grades of DCIS progressing into grades of IDC. The fourth pathway, termed parallel, describes DCIS and IDC as diverging from a common progenitor and progressing through grades in parallel. The best transition rates for the linear, nonlinear, and branched pathways were sought using a random search in combination with a directed search based on the Nelder-Mead simplex method. Parameter values for the parallel pathway were determined with heuristic graphs. Results of computer simulation were compared with clinically observed frequencies of grades of DCIS and grades of IDC that were reported to occur together in heterogeneous tumors. Each of the four pathways could simulate frequencies that resembled, to varying degrees, the clinical observations. The parallel pathway produced the best correspondence with clinical observations. These results quantify the traditional descriptions in which grades of DCIS are the progenitors of grades of IDC. The results also raise the alternative possibility that, in some tumors with both components, DCIS and IDC may have diverged from a common progenitor.

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Mesh:

Year:  2005        PMID: 15530488     DOI: 10.1016/j.jtbi.2004.08.002

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  27 in total

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Review 2.  Preinvasive breast cancer.

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4.  [Preparation of two types p53 recombinant adenovirus and quantitative exogenous expression of green fluorescence protein by flow cytometry].

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Journal:  Zhongguo Fei Ai Za Zhi       Date:  2010-05

Review 5.  Evolution of cooperation among tumor cells.

Authors:  Robert Axelrod; David E Axelrod; Kenneth J Pienta
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-28       Impact factor: 11.205

6.  Comparison of HER2 amplification status among breast cancer subgroups offers new insights in pathways of breast cancer progression.

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Journal:  Virchows Arch       Date:  2017-05-31       Impact factor: 4.064

7.  A 2D mechanistic model of breast ductal carcinoma in situ (DCIS) morphology and progression.

Authors:  Kerri-Ann Norton; Michael Wininger; Gyan Bhanot; Shridar Ganesan; Nicola Barnard; Troy Shinbrot
Journal:  J Theor Biol       Date:  2009-12-16       Impact factor: 2.691

8.  Avoiding Pitfalls in the Statistical Analysis of Heterogeneous Tumors.

Authors:  David E Axelrod; Naomi Miller; Judith-Anne W Chapman
Journal:  Biomed Inform Insights       Date:  2009-01-01

Review 9.  Next-generation sequencing: a powerful tool for the discovery of molecular markers in breast ductal carcinoma in situ.

Authors:  Hitchintan Kaur; Shihong Mao; Seema Shah; David H Gorski; Stephen A Krawetz; Bonnie F Sloane; Raymond R Mattingly
Journal:  Expert Rev Mol Diagn       Date:  2013-03       Impact factor: 5.225

10.  Early dysregulation of cell adhesion and extracellular matrix pathways in breast cancer progression.

Authors:  Lyndsey A Emery; Anusri Tripathi; Chialin King; Maureen Kavanah; Jane Mendez; Michael D Stone; Antonio de las Morenas; Paola Sebastiani; Carol L Rosenberg
Journal:  Am J Pathol       Date:  2009-08-21       Impact factor: 4.307

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