2017
DOI: 10.1158/0008-5472.can-17-1662
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Multiscale Modeling of Inflammation-Induced Tumorigenesis Reveals Competing Oncogenic and Oncoprotective Roles for Inflammation

Abstract: Chronic inflammation is a serious risk factor for cancer; however, the routes from inflammation to cancer are poorly understood. On the basis of the processes implicated by frequently mutated genes associated with inflammation and cancer in three organs (stomach, colon, and liver) extracted from the Gene Expression Omnibus, The Cancer Genome Atlas, and Gene Ontology databases, we present a multiscale model of the long-term evolutionary dynamics leading from inflammation to tumorigenesis. The model incorporates… Show more

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Cited by 103 publications
(79 citation statements)
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“…Second, we checked whether cell cycle relevant gene contribute substantially to the heterogeneity of gene expression. If so, the cell cycle co-factor would need to be removed out to ensure that it does not introduce spurious correlations or inflate the variances [53,56]. As shown in Fig.…”
Section: Expression Quantification and Normalization For Scrna-seq Datamentioning
confidence: 99%
“…Second, we checked whether cell cycle relevant gene contribute substantially to the heterogeneity of gene expression. If so, the cell cycle co-factor would need to be removed out to ensure that it does not introduce spurious correlations or inflate the variances [53,56]. As shown in Fig.…”
Section: Expression Quantification and Normalization For Scrna-seq Datamentioning
confidence: 99%
“…The tumor microenvironment involves multiple cell types that interact among each other in diverse ways, thus giving rise to a complex adaptive ecological system (49)(50)(51). For such a system, mathematical models can help reveal the mechanisms underlying the emergent behavior and eventually aid in designing effective therapeutic strategies to modulate those aspects of the microenvironment that fuel disease aggressiveness (52)(53)(54)(55)(56)(57)(58).…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, our simulation suggests that stemness increases with evolutionary processes when we limit the mutations to proliferation and differentiation ( Figure 4C). Here, we consider only two types mutations that often occur in the precancerous stage [15,27]. To simulate a more complicated process of cancer development, we must extend the simulation to include more mutations, such as apoptosis, DNA damage repair, and immune response pathways.…”
Section: Modeling Tumor Development With Cell-to-cell Variancementioning
confidence: 99%