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 Citations (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.

Original language	English
Journal	Nature Biotechnology
Volume	30
Issue number	9
Pages (from-to)	842-8
Number of pages	7
ISSN	1087-0156
DOIs	https://doi.org/10.1038/nbt.2345
Publication status	Published - Sept 2012

Keywords

Animals
Biomedical Research
Humans
Individualized Medicine
Mice
Neoplasms
Signal Transduction
Systems Biology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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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.",

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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

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SP - 842

EP - 848

JO - Nature Biotechnology

JF - Nature Biotechnology

IS - 9

ER -

Navigating cancer network attractors for tumor-specific therapy

Abstract

Keywords

UN SDGs

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