Evolution of fibroblasts in the lung metastatic microenvironment is driven by stage-specific transcriptional plasticity

Abstract

Mortality from breast cancer is almost exclusively a result of tumor metastasis, and lungs are one of the main metastatic sites. Cancer-associated fibroblasts (CAFs) are prominent players in the microenvironment of breast cancer. However, their role in the metastatic niche is largely unknown. In this study, we profiled the transcriptional co-evolution of lung fibroblasts isolated from transgenic mice at defined stage-specific time points of metastases formation. Employing multiple knowledge-based platforms of data analysis provided powerful insights on functional and temporal regulation of the transcriptome of fibroblasts. We demonstrate that fibroblasts in lung metastases are transcriptionally dynamic and plastic, and reveal stage-specific gene signatures that imply functional tasks, including extracellular matrix remodeling, stress response and shaping the inflammatory microenvironment. Furthermore, we identified Myc as a central regulator of fibroblast rewiring and found that stromal upregulation of Myc transcriptional networks is associated with disease progression in human breast cancer.

Data availability

Sequencing data have been deposited in GEO under accession code GSE128999.

The following data sets were generated
The following previously published data sets were used

Article and author information

Author details

  1. Ophir Shani

    Pathology, Tel Aviv University, Tel Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  2. Yael Raz

    Pathology, Tel Aviv University, Tel Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  3. Lea Monteran

    Pathology, Tel Aviv University, Tel Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  4. Ye'ela Scharff

    Pathology, Tel Aviv University, Tel Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  5. Oshrat Levi-Galibov

    Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
    Competing interests
    The authors declare that no competing interests exist.
  6. Or Megides

    Clinical Microbiology and Immunology, Tel Aviv University, Tel Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  7. Hila Shacham

    Clinical Microbiology and Immunology, Tel Aviv University, Tel Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  8. Noam Cohen

    Pathology, Tel Aviv University, Tel Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  9. Dana Silverbush

    Blavatnik School of Computer Sciences, Tel Aviv University, Tel Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  10. Camilla Avivi

    Pathology, Sheba Medical Center, Ramat Gan, Israel
    Competing interests
    The authors declare that no competing interests exist.
  11. Roded Sharan

    Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  12. Asaf Madi

    Pathology, Tel Aviv University, Tel Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  13. Ruth Scherz-Shouval

    Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
    Competing interests
    The authors declare that no competing interests exist.
  14. Iris Barshack

    Pathology, Sheba Medical Center, Ramat Gan, Israel
    Competing interests
    The authors declare that no competing interests exist.
  15. Ilan Tsarfaty

    Clinical Microbiology and Immunology, Tel Aviv University, Tel Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  16. Neta Erez

    Pathology, Tel Aviv University, Tel Aviv, Israel
    For correspondence
    Netaerez@tauex.tau.ac.il
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6506-9074

Funding

H2020 European Research Council (637069 MetCAF)

  • Ophir Shani
  • Yael Raz

Israel Science Foundation (1060/18)

  • Ophir Shani
  • Yael Raz
  • Noam Cohen
  • Neta Erez

The Emerson Collective

  • Ophir Shani
  • Lea Monteran
  • Neta Erez

Israel Cancer Association

  • Ophir Shani
  • Neta Erez

Israel Cancer Research Fund (Project Grant)

  • Ophir Shani
  • Yael Raz
  • Lea Monteran
  • Neta Erez

Breast Cancer Research Foundation

  • Or Megides
  • Ilan Tsarfaty

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

Ethics

Animal experimentation: This study was performed in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the Tel Aviv University. All of the animals were handled according to approved institutional animal care and use committee (IACUC) protocols #: 01-18-035, M-13-026, 01-17-024) of the Tel Aviv University.

Human subjects: Human patient samples were collected and processed at the Sheba Medical Center, Israel under an approved institutional review board (IRB) (3112-16).

Copyright

© 2021, Shani 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

  • 3,973
    views
  • 560
    downloads
  • 27
    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. Ophir Shani
  2. Yael Raz
  3. Lea Monteran
  4. Ye'ela Scharff
  5. Oshrat Levi-Galibov
  6. Or Megides
  7. Hila Shacham
  8. Noam Cohen
  9. Dana Silverbush
  10. Camilla Avivi
  11. Roded Sharan
  12. Asaf Madi
  13. Ruth Scherz-Shouval
  14. Iris Barshack
  15. Ilan Tsarfaty
  16. Neta Erez
(2021)
Evolution of fibroblasts in the lung metastatic microenvironment is driven by stage-specific transcriptional plasticity
eLife 10:e60745.
https://doi.org/10.7554/eLife.60745

Share this article

https://doi.org/10.7554/eLife.60745

Further reading

    1. Cancer Biology
    2. Immunology and Inflammation
    Almudena Mendez-Perez, Andres M Acosta-Moreno ... Esteban Veiga
    Short Report

    In this study, we present a proof-of-concept classical vaccination experiment that validates the in silico identification of tumor neoantigens (TNAs) using a machine learning-based platform called NAP-CNB. Unlike other TNA predictors, NAP-CNB leverages RNA-seq data to consider the relative expression of neoantigens in tumors. Our experiments show the efficacy of NAP-CNB. Predicted TNAs elicited potent antitumor responses in mice following classical vaccination protocols. Notably, optimal antitumor activity was observed when targeting the antigen with higher expression in the tumor, which was not the most immunogenic. Additionally, the vaccination combining different neoantigens resulted in vastly improved responses compared to each one individually, showing the worth of multiantigen-based approaches. These findings validate NAP-CNB as an innovative TNA identification platform and make a substantial contribution to advancing the next generation of personalized immunotherapies.

    1. Cancer Biology
    Han V Han, Richard Efem ... Richard Z Lin
    Research Article

    Most human pancreatic ductal adenocarcinoma (PDAC) are not infiltrated with cytotoxic T cells and are highly resistant to immunotherapy. Over 90% of PDAC have oncogenic KRAS mutations, and phosphoinositide 3-kinases (PI3Ks) are direct effectors of KRAS. Our previous study demonstrated that ablation of Pik3ca in KPC (KrasG12D; Trp53R172H; Pdx1-Cre) pancreatic cancer cells induced host T cells to infiltrate and completely eliminate the tumors in a syngeneic orthotopic implantation mouse model. Now, we show that implantation of Pik3ca−/− KPC (named αKO) cancer cells induces clonal enrichment of cytotoxic T cells infiltrating the pancreatic tumors. To identify potential molecules that can regulate the activity of these anti-tumor T cells, we conducted an in vivo genome-wide gene-deletion screen using αKO cells implanted in the mouse pancreas. The result shows that deletion of propionyl-CoA carboxylase subunit B gene (Pccb) in αKO cells (named p-αKO) leads to immune evasion, tumor progression, and death of host mice. Surprisingly, p-αKO tumors are still infiltrated with clonally enriched CD8+ T cells but they are inactive against tumor cells. However, blockade of PD-L1/PD1 interaction reactivated these clonally enriched T cells infiltrating p-αKO tumors, leading to slower tumor progression and improve survival of host mice. These results indicate that Pccb can modulate the activity of cytotoxic T cells infiltrating some pancreatic cancers and this understanding may lead to improvement in immunotherapy for this difficult-to-treat cancer.