Dataset Information

Node Survival in Networks under Correlated Attacks.

ABSTRACT: We study the interplay between correlations, dynamics, and networks for repeated attacks on a socio-economic network. As a model system we consider an insurance scheme against disasters that randomly hit nodes, where a node in need receives support from its network neighbors. The model is motivated by gift giving among the Maasai called Osotua. Survival of nodes under different disaster scenarios (uncorrelated, spatially, temporally and spatio-temporally correlated) and for different network architectures are studied with agent-based numerical simulations. We find that the survival rate of a node depends dramatically on the type of correlation of the disasters: Spatially and spatio-temporally correlated disasters increase the survival rate; purely temporally correlated disasters decrease it. The type of correlation also leads to strong inequality among the surviving nodes. We introduce the concept of disaster masking to explain some of the results of our simulations. We also analyze the subsets of the networks that were activated to provide support after fifty years of random disasters. They show qualitative differences for the different disaster scenarios measured by path length, degree, clustering coefficient, and number of cycles.

SUBMITTER: Hao Y

PROVIDER: S-EPMC4416727 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Node Survival in Networks under Correlated Attacks.

Hao Yan Y Armbruster Dieter D Hütt Marc-Thorsten MT

PloS one 20150501 5

We study the interplay between correlations, dynamics, and networks for repeated attacks on a socio-economic network. As a model system we consider an insurance scheme against disasters that randomly hit nodes, where a node in need receives support from its network neighbors. The model is motivated by gift giving among the Maasai called Osotua. Survival of nodes under different disaster scenarios (uncorrelated, spatially, temporally and spatio-temporally correlated) and for different network arc ...[more]

PMID: 25932635

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Project description:IntroductionSyntenin is a scaffolding-PDZ domain-containing protein. Although it is reported that syntenin is associated with melanoma growth and metastasis, the possible role of syntenin in breast cancer has not been well elucidated. The present study investigated the expression and function of syntenin in breast cancer.MethodsReal-time polymerase chain reaction (PCR) and Western blots were used to determine the mRNA and protein expression of syntenin. With a combination of overexpression and RNA interference, the effect of syntenin on migration, invasion, and ERK1/2 activation was examined in breast cancer cell lines. The effect of syntenin in vivo was assessed with an orthotropic xenograft tumor model in BALB/c nu/nu mice. In addition, the expression level of syntenin in clinical breast cancer tissues was evaluated with immunohistochemistry. The Kaplan-Meier survival curve was used to evaluate patient survival, and the Cox proportional hazards model was used for multivariate analysis.ResultsOur study showed that syntenin expression was upregulated in high-metastasis breast cancer cell lines and breast cancer tissues. Overexpression of syntenin in breast cancer cells promoted cell migration and invasion in vitro. Moreover, overexpression of syntenin promoted breast tumor growth and lung metastasis in vivo. We further showed that activation of integrin ?1 and ERK1/2 was required for syntenin-mediated migration and invasion of breast cancer cells. The correlation between syntenin expression and tumor size (P = 0.011), lymph node status (P = 0.001), and recurrence (P = 0.002) was statistically significant. More important, syntenin expression in primary tumors was significantly related to patients' overall survival (OS; P = 0.023) and disease-free survival (DFS; P = 0.001). Its status was an independent prognostic factor of OS (P = 0.049) and DFS (P = 0.002) in our cohort of patients.ConclusionsThese results suggest that syntenin plays a significant role in breast cancer progression, and it warrants further investigation as a candidate molecular marker of breast cancer metastasis and a potential therapeutic target.

Dataset Information

Node Survival in Networks under Correlated Attacks.

Publications

Node Survival in Networks under Correlated Attacks.

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