Special Collection on Ecological and Evolutionary Approaches to Cancer Control: Cancer Finds a Conceptual Home.

coexistence ecology ecosystem engineering evolution information landscape ecology mathematical modeling metastatic management storage effect

Journal

Cancer control : journal of the Moffitt Cancer Center
ISSN: 1526-2359
Titre abrégé: Cancer Control
Pays: United States
ID NLM: 9438457

Informations de publication

Date de publication:
Historique:
entrez: 15 10 2020
pubmed: 16 10 2020
medline: 30 6 2021
Statut: ppublish

Résumé

Despite a century of intense investigation, cancer biology and treatment remain plagued by unanswered questions. Even basic questions regarding the fundamental forces driving the formation of cancer remain controversial. Recent approaches view cancer in the context of a complex web of interactions among cancer cells of the tumor, together with their interactions with the many cells and constituents of the complex and highly dynamic tumor microenvironment. As seen in this special collection, we believe that viewing cancer as a process of evolution driven by ongoing ecological processes playing out within a dynamic environment offers many insights and potential new pathways for cancer control.

Identifiants

pubmed: 33054362
doi: 10.1177/1073274820942356
pmc: PMC7791469
doi:

Types de publication

Editorial

Langues

eng

Sous-ensembles de citation

IM

Pagination

1073274820942356

Subventions

Organisme : NCI NIH HHS
ID : U54 CA193489
Pays : United States

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Auteurs

Christopher J Whelan (CJ)

Cancer Biology and Evolution Program, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Department of Cancer Physiology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.

Robert A Gatenby (RA)

Cancer Biology and Evolution Program, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Department of Integrated Mathematical Oncology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Department of Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.

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Classifications MeSH