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Cancer Metabolism: A Modeling Perspective

Pouyan Ghaffari Nouran (Institutionen för biologi och bioteknik, Systembiologi) ; Adil Mardinoglu (Institutionen för biologi och bioteknik, Systembiologi) ; Jens B. Nielsen (Institutionen för biologi och bioteknik, Systembiologi)
Frontiers in Physiology (1664-042X). Vol. 6 (2015),
[Artikel, refereegranskad vetenskaplig]

Tumor cells alter their metabolism to maintain unregulated cellular proliferation and survival, but this transformation leaves them reliant on constant supply of nutrients and energy. In addition to the widely studied dysregulated glucose metabolism to fuel tumor cell growth, accumulating evidences suggest that utilization of amino acids and lipids contributes significantly to cancer cell metabolism. Also recent progresses in our understanding of carcinogenesis have revealed that cancer is a complex disease and cannot be understood through simple investigation of genetic mutations of cancerous cells. Cancer cells present in complex tumor tissues communicate with the surrounding microenvironment and develop traits which promote their growth, survival, and metastasis. Decoding the full scope and targeting dysregulated metabolic pathways that support neoplastic transformations and their preservation requires both the advancement of experimental technologies for more comprehensive measurement of omics as well as the advancement of robust computational methods for accurate analysis of the generated data. Here, we review cancer-associated reprogramming of metabolism and highlight the capability of genome-scale metabolic modeling approaches in perceiving a system-level perspective of cancer metabolism and in detecting novel selective drug targets.

Nyckelord: cancer metabolism, metabolic modeling, systems biology, systems medicine, genome scale metabolic reconstruction, metabolic networks and pathways, tumor metabolism



Denna post skapades 2016-01-14. Senast ändrad 2016-01-14.
CPL Pubid: 230656

 

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Institutioner (Chalmers)

Institutionen för biologi och bioteknik, Systembiologi

Ämnesområden

Fysiologi

Chalmers infrastruktur