弥漫性胃癌肿瘤细胞形成和发展的三维计算研究。

IF 2 4区 数学 Q2 BIOLOGY
Valéria Lopes, Joana Figueiredo, Patrícia Carneiro, Marcos Gouveia, Rui D M Travasso, João Carvalho
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引用次数: 0

摘要

遗传性弥漫性胃癌的特点是弥漫性胃癌和小叶性乳腺癌的风险增加,是由细胞-细胞粘附的关键调节因子E-cadherin和α -E-catenin的致病性种系变异引起的。然而,细胞-细胞粘附的丧失如何促进细胞传播仍有待充分了解。因此,建立了一个三维计算机模型来描述弥漫性胃癌发展的初始步骤。在这个模型中,我们实施了细胞Potts方法,考虑细胞与其他细胞和细胞外基质的粘附,细胞从胃上皮挤压,以及随后的增殖。我们证明,疾病的早期特征是由突变细胞对其正常上皮邻居的粘附减少决定的,同时增加了对基质成分的粘附。重要的是,我们的模拟显示了突变细胞的机械压力和不受控制的增殖如何导致细胞形状和胃腺形态的改变。总之,这项工作强调了计算模型在阐明细胞和非细胞成分在胃癌中的作用方面的潜力,这些成分可能是治疗干预的相关靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 3D Computational Study on the Formation and Progression of Tumor Cells in Diffuse Gastric Cancer.

Hereditary diffuse gastric cancer is characterized by an increased risk of diffuse gastric cancer and lobular breast cancer, and is caused by pathogenic germline variants of E-cadherin and α -E-catenin, which are key regulators of cell-cell adhesion. However, how the loss of cell-cell adhesion promotes cell dissemination remains to be fully understood. Therefore, a three-dimensional computer model was developed to describe the initial steps of diffuse gastric cancer development. In this model, we have implemented a cellular Potts approach that contemplates cell adhesion to other cells and to the extracellular matrix, cell extrusion from the gastric epithelia, and subsequent proliferation. We demonstrate that early disease features are determined by decreased adhesion of mutant cells to their normal epithelial neighbors, with concomitant increased attachment to matrix components. Importantly, our simulation shows how mechanical pressure and uncontrolled proliferation of mutant cells lead to modifications in cell shape and in gastric gland morphology. In conclusion, this work underscores the potential of computational models to elucidate the role of cellular and noncellular components in gastric cancer that may be relevant targets in therapeutic interventions.

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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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