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Three-dimensional visualization of human brain tumors using the CUBIC technique

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Abstract

Application of tissue clearing techniques on human brain tumors is still limited. This study was to investigate the application of CUBIC on 3D pathological studies of human brain tumors. Brain tumor specimens derived from 21 patients were cleared with CUBIC. Immunostaining was conducted on cleared specimens to label astrocytes, microglia and microvessels, respectively. All tumor specimens achieved transparency after clearing. Immunostaining and CUBIC are well compatible in a variety of human brain tumors. Spatial morphologies of microvessels, astrocytes and microglia of tumors were clearly visualized in 3D, and their 3D morphological parameters were easily quantified. By comparing the quantitative morphological parameters of microvessels among brain tumors of different malignancy, we found that mean vascular diameter was positively correlated with tumor malignancy. Our study demonstrates that CUBIC can be successfully applied to 3D pathological studies of various human brain tumors, and 3D studies of human brain tumors hold great promise in helping us better understand brain tumor pathology in the future.

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Data underlying the results presented in this paper may be obtained from the authors upon reasonable request.

References

  1. Louis DN, Perry A, Reifenberger G et al (2016) The 2016 world health organization classification of tumors of the central nervous system: a summary. Acta Neuropathol 131:803–820

    Article  Google Scholar 

  2. Sun L, Wang D, Zubovits JT et al (2009) An improved processing method for breast whole-mount serial sections for three-dimensional histopathology imaging. Am J Clin Pathol 131:383–392

    Article  Google Scholar 

  3. Booth ME, Treanor D, Roberts N et al (2015) Three-dimensional reconstruction of ductal carcinoma in situ with virtual slides. Histopathology 66:966–973

    Article  Google Scholar 

  4. Richardson DS, Lichtman JW (2015) Clarifying Tissue Clearing. Cell 162:246–257

    Article  CAS  Google Scholar 

  5. Ueda HR, Erturk A, Chung K et al (2020) Tissue clearing and its applications in neuroscience. Nat Rev Neurosci 21:61–79

    Article  CAS  Google Scholar 

  6. Erturk A, Becker K, Jahrling N et al (2012) Three-dimensional imaging of solvent-cleared organs using 3DISCO. Nat Protoc 7:1983–1995

    Article  CAS  Google Scholar 

  7. Susaki EA, Tainaka K, Perrin D et al (2015) Advanced CUBIC protocols for whole-brain and whole-body clearing and imaging. Nat Protoc 10:1709–1727

    Article  CAS  Google Scholar 

  8. Chung K, Wallace J, Kim SY et al (2013) Structural and molecular interrogation of intact biological systems. Nature 497:332–337

    Article  CAS  Google Scholar 

  9. Wan P, Zhu J, Xu J et al (2018) Evaluation of seven optical clearing methods in mouse brain. Neurophotonics 5:035007

    Article  Google Scholar 

  10. Lloyd-Lewis B, Davis FM, Harris OB et al (2016) Imaging the mammary gland and mammary tumours in 3D: optical tissue clearing and immunofluorescence methods. Breast Cancer Res 18:127

    Article  Google Scholar 

  11. Tainaka K, Kubota SI, Suyama TQ et al (2014) Whole-body imaging with single-cell resolution by tissue decolorization. Cell 159:911–924

    Article  CAS  Google Scholar 

  12. Xu Y, Li P, Wang M et al (2019) Imaging the brain in 3D using a combination of CUBIC and immunofluorescence staining. Biomed Opt Express 10:2141–2149

    Article  CAS  Google Scholar 

  13. Liang H, Wang H, Wang S et al (2018) 3D imaging of PSD-95 in the mouse brain using the advanced CUBIC method. Mol Brain 11:50

    Article  Google Scholar 

  14. Louis D, Perry A, Wesseling P et al (2021) The 2021 who classification of tumors of the central nervous system: a summary. Neuro Oncol 23:1231–1251

    Article  CAS  Google Scholar 

  15. Boulagnon-Rombi C, Fleury C, Fichel C et al (2017) Immunohistochemical Approach to the Differential Diagnosis of Meningiomas and Their Mimics. J Neuropathol Exp Neurol 76:289–298

    Article  CAS  Google Scholar 

  16. Deb P, Boruah D, Dutta V (2012) Morphometric study of microvessels in primary CNS tumors and its correlation with tumor types and grade. Microvasc Res 84:34–43

    Article  Google Scholar 

  17. Karperien A, Ahammer H, Jelinek HF (2013) Quantitating the subtleties of microglial morphology with fractal analysis. Front Cell Neurosci 7:3

    Article  Google Scholar 

  18. Baslan T, Hicks J (2017) Unravelling biology and shifting paradigms in cancer with single-cell sequencing. Nat Rev Cancer 17:557–569

    Article  CAS  Google Scholar 

  19. P B, M P, I F et al. (2003) Vascular patterns in glioblastoma influence clinical outcome and associate with variable expression of angiogenic proteins: evidence for distinct angiogenic subtypes. Brain pathology (Zurich, Switzerland) 13: 133–143

  20. Komori T (2022) Grading of adult diffuse gliomas according to the 2021 WHO classification of tumors of the central nervous system. Lab Invest 102:126–133

    Article  Google Scholar 

  21. Gomez-Gaviro MV, Sanderson D, Ripoll J, Desco M. (2020) Biomedical applications of tissue clearing and three-dimensional imaging in health and disease. iScience; 23: 101432.

  22. Almagro J, Messal HA, Zaw Thin M et al (2021) Tissue clearing to examine tumour complexity in three dimensions. Nature Rev Cancer 21:718–730

    Article  CAS  Google Scholar 

  23. Tian T, Yang Z, Li X (2020) Tissue clearing technique: recent progress and biomedical applications. J Anat 238:489–507

    Article  Google Scholar 

  24. Ando K, Laborde Q, Lazar A et al (2014) Inside Alzheimer brain with CLARITY: senile plaques, neurofibrillary tangles and axons in 3-D. Acta Neuropathol 128:457–459

    Article  Google Scholar 

  25. Liu AK, Hurry ME, Ng OT et al (2016) Bringing CLARITY to the human brain: visualization of Lewy pathology in three dimensions. Neuropathol Appl Neurobiol 42:573–587

    Article  CAS  Google Scholar 

  26. Lagerweij T, Dusoswa SA, Negrean A et al (2017) Optical clearing and fluorescence deep-tissue imaging for 3D quantitative analysis of the brain tumor microenvironment. Angiogenesis 20:533–546

    Article  Google Scholar 

  27. Zhu X, Huang L, Zheng Y et al (2019) Ultrafast optical clearing method for three-dimensional imaging with cellular resolution. Proc Nati Acad Sci US Am 116:11480–11489

    Article  CAS  Google Scholar 

  28. Susaki EA, Shimizu C, Kuno A et al (2020) Versatile whole-organ/body staining and imaging based on electrolyte-gel properties of biological tissues. Nat Commun 11:1982

    Article  CAS  Google Scholar 

  29. Jing D, Zhang S, Luo W et al (2018) Tissue clearing of both hard and soft tissue organs with the PEGASOS method. Cell Res 28:803–818

    Article  CAS  Google Scholar 

  30. Pan C, Cai R, Quacquarelli FP et al (2016) Shrinkage-mediated imaging of entire organs and organisms using uDISCO. Nat Methods 13:859–867

    Article  CAS  Google Scholar 

  31. Gleave JA, Lerch JP, Henkelman RM, Nieman BJ (2013) A method for 3D immunostaining and optical imaging of the mouse brain demonstrated in neural progenitor cells. PLoS ONE 8:e72039

    Article  CAS  Google Scholar 

  32. Li J, Czajkowsky DM, Li X, Shao Z (2015) Fast immuno-labeling by electrophoretically driven infiltration for intact tissue imaging. Sci Rep 5:10640

    Article  Google Scholar 

  33. Ku T, Guan W, Evans NB et al (2020) Elasticizing tissues for reversible shape transformation and accelerated molecular labeling. Nat Methods 17:609–613

    Article  CAS  Google Scholar 

  34. Boruah D, Deb P, Srinivas V, Mani NS (2014) Morphometric study of nuclei and microvessels in gliomas and its correlation with grades. Microvasc Res 93:52–61

    Article  CAS  Google Scholar 

  35. Fortin D, Cairncross G, Hammond RJN (1999) Oligodendroglioma: an appraisal of recent data pertaining to diagnosis and treatment. Neurosurgery 45:1279–1291

    Article  CAS  Google Scholar 

  36. Andersen B, Faust Akl C, Wheeler M et al (2021) Glial and myeloid heterogeneity in the brain tumour microenvironment. Nat Rev Cancer 21:786–802

    Article  CAS  Google Scholar 

  37. Guo H, Kang H, Tong H et al (2019) Microvascular characteristics of lower-grade diffuse gliomas: investigating vessel size imaging for differentiating grades and subtypes. Eur Radiol 29:1893–1902

    Article  Google Scholar 

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Acknowledgements

We thank Dr. Jianping Liu, Zongguo Pang and Wangyan Zhang from Pathology Department of West China Hospital for their contribution in the diagnosis of brain tumors.

Funding

This study received grands from 135 Project of Outstanding Development of West China Hospital, Sichuan University (ZY2017307).

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Correspondence to Wei Wang or Jie Zhang.

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The authors declare on conflicts of interest relating to this study.

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Written informed consents about using tumor specimens for this study were obtained from all patients or their legal guardians. The study was approved by West China Hospital of Sichuan University Biomedical Research Ethics Committee.

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Xu, Y., He, Q., Wang, M. et al. Three-dimensional visualization of human brain tumors using the CUBIC technique. Brain Tumor Pathol 40, 4–14 (2023). https://doi.org/10.1007/s10014-022-00445-2

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