| Autor: |
Ouellette JN; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.; Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA., Drifka CR; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.; Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA., Pointer KB; Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA., Liu Y; Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA., Lieberthal TJ; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA., Kao WJ; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.; Department of Industrial and Manufacturing Systems Engineering, Faculty of Engineering, University of Hong Kong, Pokfulam, Hong Kong., Kuo JS; Department of Neurosurgery, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA., Loeffler AG; Department of Pathology, MetroHealth Medical Center, Cleveland, OH 44109, USA., Eliceiri KW; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.; Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA.; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI 53705, USA.; Morgridge Institute for Research, Madison, WI 53715, USA. |
| Abstrakt: |
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. |
