A pre-screening strategy to assess resected tumor margins by imaging cytoplasmic viscosity and hypoxia

  1. Hui Huang
  2. Youpei Lin
  3. Wenrui Ma
  4. Jiannan Liu
  5. Jing Han
  6. Xiaoyi Hu
  7. Meilin Tang
  8. Shiqiang Yan
  9. Mieradilijiang Abudupataer
  10. Chenping Zhang
  11. Qiang Gao
  12. Weijia Zhang  Is a corresponding author
  1. Fudan University, China
  2. Zhongshan Hospital, Fudan University, China
  3. Shanghai Jiao Tong University School of Medicine, China

Abstract

To assure complete tumor removal, frozen section analysis is the most common procedure for intraoperative pathological assessment of resected tumor margins. However, during one operation, multiple biopsies may be sent for examination, but only few of them are made into cryosections because of the complex preparation protocols and time-consuming pathological analysis, which potentially increases the risk of overlooking tumor involvement. Here, we propose a fluorescence-based pre-screening strategy that allows high-throughput, convenient, and fast gross assessment of resected tumor margins. A dual-activatable cationic fluorescent molecular rotor was developed to specifically illuminate live tumor cells’ cytoplasm by emitting two different fluorescence signals in response to elevations in hypoxia-induced nitroreductase (a biochemical marker) and cytoplasmic viscosity (a biophysical marker), two characteristics of cancer cells. The ability of the fluorescent molecular rotor in detecting tumor cells was evaluated in mouse and human specimens of multiple tissues by comparing with hematoxylin and eosin staining. Importantly, the fluorescent molecular rotor achieved 100% specificity in discriminating lung and liver cancers from normal tissue, allowing pre-screening of the tumor-free surgical margins and promoting clinical decision. Altogether, this type of fluorescent molecular rotor and the proposed strategy may serve as a new option to facilitate intraoperative assessment of resected tumor margins.

Data availability

All data generated or analysed during this study are included in the manuscript and supplementary files. Source data files have been provided.

Article and author information

Author details

  1. Hui Huang

    Fudan University, Shanghai, China
    Competing interests
    The authors declare that no competing interests exist.
  2. Youpei Lin

    Fudan University, Shanghai, China
    Competing interests
    The authors declare that no competing interests exist.
  3. Wenrui Ma

    Zhongshan Hospital, Fudan University, Shanghai, China
    Competing interests
    The authors declare that no competing interests exist.
  4. Jiannan Liu

    Shanghai Jiao Tong University School of Medicine, Shanghai, China
    Competing interests
    The authors declare that no competing interests exist.
  5. Jing Han

    Shanghai Jiao Tong University School of Medicine, Shanghai, China
    Competing interests
    The authors declare that no competing interests exist.
  6. Xiaoyi Hu

    Fudan University, Shanghai, China
    Competing interests
    The authors declare that no competing interests exist.
  7. Meilin Tang

    Fudan University, Shanghai, China
    Competing interests
    The authors declare that no competing interests exist.
  8. Shiqiang Yan

    Fudan University, Shanghai, China
    Competing interests
    The authors declare that no competing interests exist.
  9. Mieradilijiang Abudupataer

    Zhongshan Hospital, Fudan University, Shanghai, China
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5421-9820
  10. Chenping Zhang

    Shanghai Jiao Tong University School of Medicine, Shanghai, China
    Competing interests
    The authors declare that no competing interests exist.
  11. Qiang Gao

    Fudan University, Shanghai, China
    Competing interests
    The authors declare that no competing interests exist.
  12. Weijia Zhang

    Fudan University, Shanghai, China
    For correspondence
    weijiazhang@fudan.edu.cn
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6928-0416

Funding

National Key Research and Development Program of China (2018YFC1005002)

  • Weijia Zhang

National Natural Science Foundation of China (82070482,81772007,21734003,51927805)

  • Weijia Zhang

Shanghai Municipal Education Commission (2017-01-07-00-07-E00027)

  • Weijia Zhang

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Animal experimentation: Animal model procedures were conducted in accordance with the protocols approved by the Department of Laboratory Animal Science, Fudan University (202012023S).

Human subjects: Written informed consent and consent to publish were obtained from all patients before participation. All procedures were conducted in accordance with the protocols approved by the Ethics Committee of the Institutes of Biomedical Sciences, Fudan University (2020-014).

Copyright

© 2021, Huang et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 867
    views
  • 207
    downloads
  • 0
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Hui Huang
  2. Youpei Lin
  3. Wenrui Ma
  4. Jiannan Liu
  5. Jing Han
  6. Xiaoyi Hu
  7. Meilin Tang
  8. Shiqiang Yan
  9. Mieradilijiang Abudupataer
  10. Chenping Zhang
  11. Qiang Gao
  12. Weijia Zhang
(2021)
A pre-screening strategy to assess resected tumor margins by imaging cytoplasmic viscosity and hypoxia
eLife 10:e70471.
https://doi.org/10.7554/eLife.70471

Share this article

https://doi.org/10.7554/eLife.70471

Further reading

    1. Biochemistry and Chemical Biology
    Gabriella O Estevam, Edmond Linossi ... James S Fraser
    Research Article

    Mutations in the kinase and juxtamembrane domains of the MET Receptor Tyrosine Kinase are responsible for oncogenesis in various cancers and can drive resistance to MET-directed treatments. Determining the most effective inhibitor for each mutational profile is a major challenge for MET-driven cancer treatment in precision medicine. Here, we used a deep mutational scan (DMS) of ~5764 MET kinase domain variants to profile the growth of each mutation against a panel of 11 inhibitors that are reported to target the MET kinase domain. We validate previously identified resistance mutations, pinpoint common resistance sites across type I, type II, and type I ½ inhibitors, unveil unique resistance and sensitizing mutations for each inhibitor, and verify non-cross-resistant sensitivities for type I and type II inhibitor pairs. We augment a protein language model with biophysical and chemical features to improve the predictive performance for inhibitor-treated datasets. Together, our study demonstrates a pooled experimental pipeline for identifying resistance mutations, provides a reference dictionary for mutations that are sensitized to specific therapies, and offers insights for future drug development.

    1. Biochemistry and Chemical Biology
    2. Genetics and Genomics
    Kira Breunig, Xuifen Lei ... Luiz O Penalva
    Research Article

    RNA binding proteins (RBPs) containing intrinsically disordered regions (IDRs) are present in diverse molecular complexes where they function as dynamic regulators. Their characteristics promote liquid-liquid phase separation (LLPS) and the formation of membraneless organelles such as stress granules and nucleoli. IDR-RBPs are particularly relevant in the nervous system and their dysfunction is associated with neurodegenerative diseases and brain tumor development. Serpine1 mRNA-binding protein 1 (SERBP1) is a unique member of this group, being mostly disordered and lacking canonical RNA-binding domains. We defined SERBP1’s interactome, uncovered novel roles in splicing, cell division and ribosomal biogenesis, and showed its participation in pathological stress granules and Tau aggregates in Alzheimer’s brains. SERBP1 preferentially interacts with other G-quadruplex (G4) binders, implicated in different stages of gene expression, suggesting that G4 binding is a critical component of SERBP1 function in different settings. Similarly, we identified important associations between SERBP1 and PARP1/polyADP-ribosylation (PARylation). SERBP1 interacts with PARP1 and its associated factors and influences PARylation. Moreover, protein complexes in which SERBP1 participates contain mostly PARylated proteins and PAR binders. Based on these results, we propose a feedback regulatory model in which SERBP1 influences PARP1 function and PARylation, while PARylation modulates SERBP1 functions and participation in regulatory complexes.