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Evaluation of pathways for progression of heterogeneous breast tumors

Descriptive

TitleInfo
Title
Evaluation of pathways for progression of heterogeneous breast tumors
Name (type = personal)
NamePart (type = family)
Axelrod
NamePart (type = given)
David E.
Affiliation
Genetics, Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Sontag
NamePart (type = given)
Laura
Affiliation
Mathematics, Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Genetics
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Arts and Sciences (SAS) (New Brunswick)
TypeOfResource
Text
Genre (authority = RULIB-FS)
Article, Refereed
Genre (authority = NISO JAV)
Version of Record (VoR)
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2005
Publisher
Elsevier
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
PhysicalDescription
Form (authority = RULIB)
InternetMediaType
application/pdf
Extent
11 pages
Abstract (type = abstract)
To better understand the progression of heterogeneous breast cancers, four models of progression 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 aprogenitor 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.
Subject (authority = LOCAL)
Topic
Breast cancer
Subject (authority = LOCAL)
Topic
Tumor progression
Subject (authority = LOCAL)
Topic
Invasive ductal carcinoma
Subject (authority = local)
Topic
Breast ductal carcinoma in situ
Subject (authority = LCSH)
Topic
Breast--Cancer
Subject (authority = LCSH)
Topic
Cancer invasiveness
RelatedItem (type = host)
TitleInfo
Title
Axelrod, David
Identifier (type = local)
rucore30017800001
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore30017800001.Article.17038
Identifier (type = doi)
doi:10.7282/T3QZ28BT
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Extension
DescriptiveEvent
Type
Citation
DateTime (encoding = w3cdtf)
2005
AssociatedObject
Type
Journal
Relationship
Has part
Name
Journal of Theoretical Biology
Identifier (type = volume and issue)
2(21)
Reference (type = url)
http://dx.doi.org/10.1016/j.jtbi.2004.08.002
Detail
179-189
Genre (authority = ExL-Esploro)
Journal Article
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Rights

RightsDeclaration (AUTHORITY = FS); (ID = rulibRdec0004)
Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder (ID = 1)
Name (TYPE = corporate)
CorporateName
Elsevier Ltd.
RightsEvent (AUTHORITY = rulib); (ID = 1)
Type
Permission or license
AssociatedEntity (AUTHORITY = rulib); (ID = 1)
Name
Axelrod David
Role
Depositor
Affiliation
SAS - DLS - Genetics, Rutgers University
AssociatedEntity (AUTHORITY = rulib); (ID = 2)
Name
Sontag Laura
Role
Depositor
Affiliation
SAS - Mathematics
AssociatedObject (AUTHORITY = rulib); (ID = 1)
Type
License
Name
Multiple author license v. 1
Detail
I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers. Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work. I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others. I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work. By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
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Technical

Format (TYPE = mime); (VERSION = )
application/x-tar
FileSize (UNIT = bytes)
272384
Checksum (METHOD = SHA1)
0c60d052b013c1a105b3de36e17f0c0c2f2239f5
ContentModel
Manuscript
PreservationLevel
High
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