Navigating cancer network attractors for tumor-specific therapy

Pau Creixell; Erwin Schoof; Janine T Erler; Rune Linding

doi:10.1038/nbt.2345

Navigating cancer network attractors for tumor-specific therapy

Pau Creixell, Erwin Schoof, Janine T Erler, Rune Linding

98 Citationer (Scopus)

Abstract

Cells employ highly dynamic signaling networks to drive biological decision processes. Perturbations to these signaling networks may attract cells to new malignant signaling and phenotypic states, termed cancer network attractors, that result in cancer development. As different cancer cells reach these malignant states by accumulating different molecular alterations, uncovering these mechanisms represents a grand challenge in cancer biology. Addressing this challenge will require new systems-based strategies that capture the intrinsic properties of cancer signaling networks and provide deeper understanding of the processes by which genetic lesions perturb these networks and lead to disease phenotypes. Network biology will help circumvent fundamental obstacles in cancer treatment, such as drug resistance and metastasis, empowering personalized and tumor-specific cancer therapies.

Originalsprog	Engelsk
Tidsskrift	Nature Biotechnology
Vol/bind	30
Udgave nummer	9
Sider (fra-til)	842-8
Antal sider	7
ISSN	1087-0156
DOI	https://doi.org/10.1038/nbt.2345
Status	Udgivet - sep. 2012

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10.1038/nbt.2345

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title = "Navigating cancer network attractors for tumor-specific therapy",

abstract = "Cells employ highly dynamic signaling networks to drive biological decision processes. Perturbations to these signaling networks may attract cells to new malignant signaling and phenotypic states, termed cancer network attractors, that result in cancer development. As different cancer cells reach these malignant states by accumulating different molecular alterations, uncovering these mechanisms represents a grand challenge in cancer biology. Addressing this challenge will require new systems-based strategies that capture the intrinsic properties of cancer signaling networks and provide deeper understanding of the processes by which genetic lesions perturb these networks and lead to disease phenotypes. Network biology will help circumvent fundamental obstacles in cancer treatment, such as drug resistance and metastasis, empowering personalized and tumor-specific cancer therapies.",

keywords = "Animals, Biomedical Research, Humans, Individualized Medicine, Mice, Neoplasms, Signal Transduction, Systems Biology",

author = "Pau Creixell and Erwin Schoof and Erler, {Janine T} and Rune Linding",

year = "2012",

month = sep,

doi = "10.1038/nbt.2345",

language = "English",

volume = "30",

pages = "842--8",

journal = "Nature Biotechnology",

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T1 - Navigating cancer network attractors for tumor-specific therapy

AU - Creixell, Pau

AU - Schoof, Erwin

AU - Erler, Janine T

AU - Linding, Rune

PY - 2012/9

Y1 - 2012/9

N2 - Cells employ highly dynamic signaling networks to drive biological decision processes. Perturbations to these signaling networks may attract cells to new malignant signaling and phenotypic states, termed cancer network attractors, that result in cancer development. As different cancer cells reach these malignant states by accumulating different molecular alterations, uncovering these mechanisms represents a grand challenge in cancer biology. Addressing this challenge will require new systems-based strategies that capture the intrinsic properties of cancer signaling networks and provide deeper understanding of the processes by which genetic lesions perturb these networks and lead to disease phenotypes. Network biology will help circumvent fundamental obstacles in cancer treatment, such as drug resistance and metastasis, empowering personalized and tumor-specific cancer therapies.

AB - Cells employ highly dynamic signaling networks to drive biological decision processes. Perturbations to these signaling networks may attract cells to new malignant signaling and phenotypic states, termed cancer network attractors, that result in cancer development. As different cancer cells reach these malignant states by accumulating different molecular alterations, uncovering these mechanisms represents a grand challenge in cancer biology. Addressing this challenge will require new systems-based strategies that capture the intrinsic properties of cancer signaling networks and provide deeper understanding of the processes by which genetic lesions perturb these networks and lead to disease phenotypes. Network biology will help circumvent fundamental obstacles in cancer treatment, such as drug resistance and metastasis, empowering personalized and tumor-specific cancer therapies.

KW - Animals

KW - Biomedical Research

KW - Humans

KW - Individualized Medicine

KW - Mice

KW - Neoplasms

KW - Signal Transduction

KW - Systems Biology

U2 - 10.1038/nbt.2345

DO - 10.1038/nbt.2345

M3 - Review

C2 - 22965061

SN - 1087-0156

VL - 30

SP - 842

EP - 848

JO - Nature Biotechnology

JF - Nature Biotechnology

IS - 9

ER -

Navigating cancer network attractors for tumor-specific therapy

Abstract

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