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Interpreting tissue stiffening with lung tumorigenesis by imaging architectural resembling of extracellular matrix components
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  • Published: 08 April 2026

Interpreting tissue stiffening with lung tumorigenesis by imaging architectural resembling of extracellular matrix components

  • Chuncheng Wang  ORCID: orcid.org/0000-0002-7181-38481,2 na1,
  • Shuhao Qian  ORCID: orcid.org/0000-0002-5276-20451 na1,
  • Wenyue Li3,4,5 na1,
  • Lingxi Zhou1,
  • Lingmei Chen1,
  • Jia Meng  ORCID: orcid.org/0000-0003-3455-205X1,
  • Rushan Jiang1,
  • Bo Niu1,
  • Ke Sun6,
  • Zhihua Ding  ORCID: orcid.org/0000-0003-2554-37411,
  • Xiaozhao Wang  ORCID: orcid.org/0009-0002-0257-43934,5,7,
  • Shuangmu Zhuo  ORCID: orcid.org/0000-0001-5767-51972 &
  • …
  • Zhiyi Liu  ORCID: orcid.org/0000-0002-8122-84741,8 

Communications Biology (2026) Cite this article

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Subjects

  • Computational biophysics
  • Multiphoton microscopy

Abstract

Lung cancer leads to a series of physiological abnormalities. The remodeling of extracellular matrix (especially elastin and collagen fibers) has been drawing increasing attention as it is suggested to be a hallmark of tumorigenesis. However, the interaction between these crucial matrix components, together with their relationship to mechanical changes, remains poorly understood. Here, we develop a quantitative multiphoton microscopy system to elucidate the relationship between tissue stiffening and elastin-collagen interplay in lung cancer. Based on label-free images of both fibers, we establish a metric termed resemblance metric (RM) to characterize their interaction by quantifying the similarity of their morpho-structural distributions. Specifically, RM is found to increase with lung tumorigenesis, and exhibits superior sensitivity in identifying human lung cancer through ex vivo quantitative imaging. Nanoindentation results suggest a strong correlation between tissue stiffness and inter-channel interaction, notably greater than that between stiffness and any individual morpho-structural feature of either fiber type. Finally, the translational potential of RM-based imaging is demonstrated through tumor boundary identification via in vivo imaging within a mouse model harboring human lung cancer.

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Data availability

All data supporting the findings of this study are available within the paper and its Supplementary Information. The source data that make up all graphs in the paper are shown in Supplementary Data 1. The source data for animal tumor experiments are provided in Supplementary Data 2. Any further data that support the findings of this study are available from the corresponding authors upon reasonable request.

Code availability

Custom MATLAB (R2023a) source code including illustrative example data for the calculation of RM has been deposited on GitHub (https://github.com/dukeotter/Resemblance_Index_Demo_Availability), and on the Zenodo platform65.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (62275232 to Z.L., 62375104 to S.Z., 32371411 to X.W., and 62575254 to Z.D.) and the Natural Science Foundation of Zhejiang Province (LZ25F050007 to Z.L.).

Author information

Author notes
  1. These authors contributed equally: Chuncheng Wang, Shuhao Qian, Wenyue Li.

Authors and Affiliations

  1. State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Hangzhou, China

    Chuncheng Wang, Shuhao Qian, Lingxi Zhou, Lingmei Chen, Jia Meng, Rushan Jiang, Bo Niu, Zhihua Ding & Zhiyi Liu

  2. School of Science, Jimei University, Xiamen, China

    Chuncheng Wang & Shuangmu Zhuo

  3. Zhejiang University-University of Edinburgh Institute, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China

    Wenyue Li

  4. Dr. Li Dak Sum & Yip Yio Chin Center for Stem Cells and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China

    Wenyue Li & Xiaozhao Wang

  5. China Orthopedic Regenerative Medicine Group (CORMed), Hangzhou, China

    Wenyue Li & Xiaozhao Wang

  6. Department of Pathology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China

    Ke Sun

  7. Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China

    Xiaozhao Wang

  8. Intelligent Optics & Photonics Research Center, Jiaxing Research Institute, Zhejiang University, Jiaxing, China

    Zhiyi Liu

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Contributions

Z.L., S.Z., X.W., Z.D., K.S., and C.W. conceived the idea. C.W., S.Q., L.Z., J.M., and R.J. performed the experiments and imaging. C.W., S.Q., J.M., L.Z., L.C., and B.N. conducted the simulation experiments. C.W., S.Q., L.Z., L.C. and Z.L. performed data analysis with conceptual support from all authors. X.W., W.L., and C.W. conducted the nanoindentation experiments. C.W., Z.L., and S.Q. drafted the main manuscript, with suggestions from all authors. All authors discussed the results and commented on the manuscript.

Corresponding authors

Correspondence to Xiaozhao Wang, Shuangmu Zhuo or Zhiyi Liu.

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Communications Biology thanks Karissa Tilbury and the other anonymous reviewer(s) for their contribution to the peer review of this work. Primary handling editors: Chao Zhou and Johannes Stortz. A peer review file is available.

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Wang, C., Qian, S., Li, W. et al. Interpreting tissue stiffening with lung tumorigenesis by imaging architectural resembling of extracellular matrix components. Commun Biol (2026). https://doi.org/10.1038/s42003-026-10004-6

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  • Received: 20 March 2025

  • Accepted: 26 March 2026

  • Published: 08 April 2026

  • DOI: https://doi.org/10.1038/s42003-026-10004-6

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