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

  • 3,944
    views
  • 558
    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
    Sofia V Krasik, Ekaterina A Bryushkova ... Ekaterina O Serebrovskaya
    Research Article

    The current understanding of humoral immune response in cancer patients suggests that tumors may be infiltrated with diffuse B cells of extra-tumoral origin or may develop organized lymphoid structures, where somatic hypermutation and antigen-driven selection occur locally. These processes are believed to be significantly influenced by the tumor microenvironment through secretory factors and biased cell-cell interactions. To explore the manifestation of this influence, we used deep unbiased immunoglobulin profiling and systematically characterized the relationships between B cells in circulation, draining lymph nodes (draining LNs), and tumors in 14 patients with three human cancers. We demonstrated that draining LNs are differentially involved in the interaction with the tumor site, and that significant heterogeneity exists even between different parts of a single lymph node (LN). Next, we confirmed and elaborated upon previous observations regarding intratumoral immunoglobulin heterogeneity. We identified B cell receptor (BCR) clonotypes that were expanded in tumors relative to draining LNs and blood and observed that these tumor-expanded clonotypes were less hypermutated than non-expanded (ubiquitous) clonotypes. Furthermore, we observed a shift in the properties of complementarity-determining region 3 of the BCR heavy chain (CDR-H3) towards less mature and less specific BCR repertoire in tumor-infiltrating B-cells compared to circulating B-cells, which may indicate less stringent control for antibody-producing B cell development in tumor microenvironment (TME). In addition, we found repertoire-level evidence that B-cells may be selected according to their CDR-H3 physicochemical properties before they activate somatic hypermutation (SHM). Altogether, our work outlines a broad picture of the differences in the tumor BCR repertoire relative to non-tumor tissues and points to the unexpected features of the SHM process.

    1. Cancer Biology
    2. Computational and Systems Biology
    Rosalyn W Sayaman, Masaru Miyano ... Mark A LaBarge
    Research Article Updated

    Effects from aging in single cells are heterogenous, whereas at the organ- and tissue-levels aging phenotypes tend to appear as stereotypical changes. The mammary epithelium is a bilayer of two major phenotypically and functionally distinct cell lineages: luminal epithelial and myoepithelial cells. Mammary luminal epithelia exhibit substantial stereotypical changes with age that merit attention because these cells are the putative cells-of-origin for breast cancers. We hypothesize that effects from aging that impinge upon maintenance of lineage fidelity increase susceptibility to cancer initiation. We generated and analyzed transcriptomes from primary luminal epithelial and myoepithelial cells from younger <30 (y)ears old and older >55 y women. In addition to age-dependent directional changes in gene expression, we observed increased transcriptional variance with age that contributed to genome-wide loss of lineage fidelity. Age-dependent variant responses were common to both lineages, whereas directional changes were almost exclusively detected in luminal epithelia and involved altered regulation of chromatin and genome organizers such as SATB1. Epithelial expression variance of gap junction protein GJB6 increased with age, and modulation of GJB6 expression in heterochronous co-cultures revealed that it provided a communication conduit from myoepithelial cells that drove directional change in luminal cells. Age-dependent luminal transcriptomes comprised a prominent signal that could be detected in bulk tissue during aging and transition into cancers. A machine learning classifier based on luminal-specific aging distinguished normal from cancer tissue and was highly predictive of breast cancer subtype. We speculate that luminal epithelia are the ultimate site of integration of the variant responses to aging in their surrounding tissue, and that their emergent phenotype both endows cells with the ability to become cancer-cells-of-origin and represents a biosensor that presages cancer susceptibility.