Navigating the Collagen Jungle: The Biomedical Potential of Fiber Organization in Cancer.
Navigating the Collagen Jungle: The Biomedical Potential of Fiber Organization in Cancer.
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DOI：
10.3390/bioengineering8020017
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发表时间：
2021-01-21
期刊：
影响因子：
--
通讯作者：
Eliceiri KW
中科院分区：
文献类型：
--
作者：
Ouellette JN;Drifka CR;Pointer KB;Liu Y;Lieberthal TJ;Kao WJ;Kuo JS;Loeffler AG;Eliceiri KW
最近的研究强调了关键的肿瘤微环境特征的重要性，尤其是富含胶原的细胞外基质(ECM)在表征肿瘤侵袭和进展方面的重要性。这引起了基础研究人员和包括病理学家在内的临床医生的极大兴趣，他们将胶原纤维评估作为癌症发展和进展研究的一部分。纤维状胶原是正常细胞外基质中含量最丰富的，并被发现在许多癌症中表达上调。最近的研究表明，在多种癌症类型中，良性和恶性组织中特定的胶原纤维组织模式不同，而且似乎与疾病分期、预后、治疗反应和其他临床特征有关。开发基于图像的胶原纤维生物标记物用于临床应用具有巨大的潜力，但其在标准临床实践中的采用取决于进一步的翻译和临床评估。在这里，我们提供了作为候选癌症生物标记物的纤维状胶原结构和组织的当前文献的全面综述，以及寻求在生物医学研究和临床工作流程中利用这些信息的研究人员和临床医生面临的挑战和下一步的新视角。
Recent research has highlighted the importance of key tumor microenvironment features, notably the collagen-rich extracellular matrix (ECM) in characterizing tumor invasion and progression. This led to great interest from both basic researchers and clinicians, including pathologists, to include collagen fiber evaluation as part of the investigation of cancer development and progression. Fibrillar collagen is the most abundant in the normal extracellular matrix, and was revealed to be upregulated in many cancers. Recent studies suggested an emerging theme across multiple cancer types in which specific collagen fiber organization patterns differ between benign and malignant tissue and also appear to be associated with disease stage, prognosis, treatment response, and other clinical features. There is great potential for developing image-based collagen fiber biomarkers for clinical applications, but its adoption in standard clinical practice is dependent on further translational and clinical evaluations. Here, we offer a comprehensive review of the current literature of fibrillar collagen structure and organization as a candidate cancer biomarker, and new perspectives on the challenges and next steps for researchers and clinicians seeking to exploit this information in biomedical research and clinical workflows.
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影响因子：
4.6
作者：
CHAUDHURI, S;NGUYEN, H;FRANK, CB
通讯作者：
FRANK, CB
影响因子：
--
作者：
Bredfeldt JS;Liu Y;Conklin MW;Keely PJ;Mackie TR;Eliceiri KW
通讯作者：
Eliceiri KW
影响因子：
6
作者：
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通讯作者：
Volk, Susan W.
影响因子：
5.2
作者：
Chen, Jian;Chen, Zhiyu;Li, Xiaowu
通讯作者：
Li, Xiaowu
影响因子：
4.6
作者：
Despotovic, Sanja Z.;Milkcvic, Dorde N.;Rabasovic, Mihailo D.
通讯作者：
Rabasovic, Mihailo D.