Mapping Cancer Stem Cell Markers Distribution:A Hypergraph Analysis Across Organs

arXiv - QuanBio - Quantitative Methods Pub Date : 2024-07-27 DOI:arxiv-2407.19330

David H. Margarit, Gustavo Paccosi, Marcela V. Reale, Lilia M. Romanelli

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Abstract

This study presents an interdisciplinary approach to analyse the distribution of cancer stem cell markers (CSCMs) across various cancer-affected organs using hypergraphs. Cancer stem cells (CSCs) play a crucial role in cancer initiation, progression, and metastasis. By employing hypergraphs, we model the relationships between CSCM locations and cancerous organs, providing a comprehensive representation of these interactions. Initially, we utilised an unweighted incidence matrix and its Markov transition matrices to gain a dynamic perspective on CSCM distributions. This method allows us to observe how these markers spread and influence cancer progression in a dynamical context. By calculating mutual information for each node and hyperedge, our analysis uncovers complex interaction patterns between CSCMs and organs, highlighting the critical roles of certain markers in cancer progression and metastasis. Our approach offers a detailed representation of cancer stem cell networks, enhancing our understanding of the mechanisms driving cancer heterogeneity and metastasis. By integrating hypergraph theory with cancer biology, this study provides valuable insights for developing targeted cancer therapies.

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绘制癌症干细胞标记物分布图：跨器官的超图分析

本研究提出了一种跨学科方法，利用超图分析癌症干细胞标记物（CSCMs）在各种癌症影响器官中的分布。癌症干细胞（CSCs）在癌症的发生、发展和转移中起着至关重要的作用。通过使用超图，我们建立了癌症干细胞位置与癌症器官之间的关系模型，为这些相互作用提供了全面的表征。最初，我们利用非加权发病矩阵及其马尔科夫转换矩阵来获得 CSCM 分布的动态视角。通过计算每个节点和超边的互信息，我们的分析揭示了 CSCM 与器官之间复杂的相互作用模式，突出了某些标记物在癌症进展和转移中的关键作用。我们的方法提供了癌症干细胞网络的详细表征，增强了我们对癌症异质性和转移驱动机制的理解。通过将超图理论与癌症生物学相结合，这项研究为开发癌症靶向疗法提供了宝贵的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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arXiv - QuanBio - Quantitative Methods

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