Extracellular signal-regulated kinase mediates chromatin rewiring and lineage transformation in lung cancer

  1. Yusuke Inoue
  2. Ana Nikolic
  3. Dylan Farnsworth
  4. Rocky Shi
  5. Fraser D Johnson
  6. Alvin Liu
  7. Marc Ladanyi
  8. Romel Somwar
  9. Marco Gallo
  10. William W Lockwood  Is a corresponding author
  1. British Columbia Cancer Agency, Canada
  2. University of Calgary, Canada
  3. Memorial Sloan-Kettering Cancer Center, United States

Abstract

Small-cell lung cancer (SCLC) is neuroendocrine in origin and rarely contains mutations in the MAPK pathway. Likewise, non-SCLC (NSCLC) that transform to SCLC concomitantly with development of therapy resistance downregulate MAPK signaling, suggesting an inverse relationship between pathway activation and lineage state. To test this, we activated MAPK in SCLC through expression of mutant KRAS or EGFR, which revealed suppression of the neuroendocrine differentiation via ERK. We found that ERK induces expression of ETS factors that mediate transformation into a NSCLC-like state. ATAC-seq demonstrated ERK-driven changes in chromatin accessibility at putative regulatory regions and global chromatin rewiring at neuroendocrine and ETS transcriptional targets. Further, induction of ETS factors and suppression of neuroendocrine differentiation were dependent on histone acetyltransferases CBP/p300. Overall, we describe how the ERK-CBP/p300-ETS axis promotes a lineage shift between neuroendocrine and non-neuroendocrine phenotypes and provide rationale for the disruption of this program during transformation-driven resistance to targeted therapy.

Data availability

Gene expression data has been deposited to GEO under the accession code GSE160482. ATAC seq data has been deposited to GEO under the accession code GSE160204

The following data sets were generated

Article and author information

Author details

  1. Yusuke Inoue

    Department of Integrative Oncology, British Columbia Cancer Agency, Vancouver, Canada
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8075-0597
  2. Ana Nikolic

    Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
    Competing interests
    The authors declare that no competing interests exist.
  3. Dylan Farnsworth

    Department of Integrative Oncology, British Columbia Cancer Agency, Vancouver, Canada
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2402-159X
  4. Rocky Shi

    Department of Integrative Oncology, British Columbia Cancer Agency, Vancouver, Canada
    Competing interests
    The authors declare that no competing interests exist.
  5. Fraser D Johnson

    Department of Integrative Oncology, British Columbia Cancer Agency, Vancouver, Canada
    Competing interests
    The authors declare that no competing interests exist.
  6. Alvin Liu

    Department of Integrative Oncology, British Columbia Cancer Agency, Vancouver, Canada
    Competing interests
    The authors declare that no competing interests exist.
  7. Marc Ladanyi

    Human Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  8. Romel Somwar

    Human Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Marco Gallo

    Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
    Competing interests
    The authors declare that no competing interests exist.
  10. William W Lockwood

    Department of Integrative Oncology, British Columbia Cancer Agency, Vancouver, Canada
    For correspondence
    wlockwood@bccrc.ca
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9831-3408

Funding

Canadian Institutes of Health Research (PJT-148725)

  • William W Lockwood

Michael Smith Foundation for Health Research (Scholar Award)

  • William W Lockwood

Canadian Institutes of Health Research (New Investigator Award)

  • William W Lockwood

British Columbia Lung Association (Research Grant)

  • Yusuke Inoue
  • William W Lockwood

Terry Fox Research Institute (New Investigator Award)

  • William W Lockwood

Canadian Institutes of Health Research (PJT-156278)

  • Marco Gallo

Canada Research Chairs (Brain Cancer Epigenomics (Tier 2))

  • Marco Gallo

Alberta Health Services (Clinician Investigator Program fellowship)

  • Ana Nikolic

Alberta Innovates (Fellowship)

  • Ana Nikolic

Japanese Respiratory Society (Lilly Oncology Fellowship Program Award)

  • Yusuke Inoue

Michael Smith Foundation for Health Research (Fellowship)

  • Yusuke Inoue

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

Copyright

© 2021, Inoue 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

  • 5,347
    views
  • 567
    downloads
  • 21
    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. Yusuke Inoue
  2. Ana Nikolic
  3. Dylan Farnsworth
  4. Rocky Shi
  5. Fraser D Johnson
  6. Alvin Liu
  7. Marc Ladanyi
  8. Romel Somwar
  9. Marco Gallo
  10. William W Lockwood
(2021)
Extracellular signal-regulated kinase mediates chromatin rewiring and lineage transformation in lung cancer
eLife 10:e66524.
https://doi.org/10.7554/eLife.66524

Share this article

https://doi.org/10.7554/eLife.66524

Further reading

    1. Cancer Biology
    Yang Peng, Jing Yang ... Liang Weng
    Research Article

    Background:

    Cervical adenocarcinoma (ADC) is more aggressive compared to other types of cervical cancer (CC), such as squamous cell carcinoma (SCC). The tumor immune microenvironment (TIME) and tumor heterogeneity are recognized as pivotal factors in cancer progression and therapy. However, the disparities in TIME and heterogeneity between ADC and SCC are poorly understood.

    Methods:

    We performed single-cell RNA sequencing on 11 samples of ADC tumor tissues, with other 4 SCC samples served as controls. The immunochemistry and multiplexed immunofluorescence were conducted to validate our findings.

    Results:

    Compared to SCC, ADC exhibited unique enrichments in several sub-clusters of epithelial cells with elevated stemness and hyper-malignant features, including the Epi_10_CYSTM1 cluster. ADC displayed a highly immunosuppressive environment characterized by the enrichment of regulatory T cells (Tregs) and tumor-promoting neutrophils. The Epi_10_CYSTM1 cluster recruits Tregs via ALCAM-CD6 signaling, while Tregs reciprocally induce stemness in the Epi_10_CYSTM1 cluster through TGFβ signaling. Importantly, our study revealed that the Epi_10_CYSTM1 cluster could serve as a valuable predictor of lymph node metastasis for CC patients.

    Conclusions:

    This study highlights the significance of ADC-specific cell clusters in establishing a highly immunosuppressive microenvironment, ultimately contributing to the heightened aggressiveness and poorer prognosis of ADC compared to SCC.

    Funding:

    Funded by the National Natural Science Foundation of China (82002753; 82072882; 81500475) and the Natural Science Foundation of Hunan Province (2021JJ40324; 2022JJ70103).

    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.