Dissecting cell type-specific metabolism in pancreatic ductal adenocarcinoma

  1. Allison N Lau
  2. Zhaoqi Li
  3. Laura V Danai
  4. Anna M Westermark
  5. Alicia M Darnell
  6. Raphael Ferreira
  7. Vasilena Gocheva
  8. Sharanya Sivanand
  9. Evan C Lien
  10. Kiera M Sapp
  11. Jared R Mayers
  12. Giulia Biffi
  13. Christopher R Chin
  14. Shawn M Davidson
  15. David A Tuveson
  16. Tyler Jacks
  17. Nicholas J Matheson
  18. Omer Yilmaz
  19. Matthew G Vander Heiden  Is a corresponding author
  1. Massachusetts Institute of Technology, United States
  2. University of Massachusetts, Amherst, United States
  3. Harvard Medical School, United States
  4. Cold Spring Harbor Laboratory, United States
  5. University of Cambridge, United Kingdom

Abstract

Tumors are composed of many different cell types including cancer cells, fibroblasts, and immune cells. Dissecting functional metabolic differences between cell types within a mixed population can be challenging due to the rapid turnover of metabolites relative to the time needed to isolate cells. To overcome this challenge, we traced isotope-labeled nutrients into macromolecules that turn over more slowly than metabolites. This approach was used to assess differences between cancer cell and fibroblast metabolism in murine pancreatic cancer organoid-fibroblast co-cultures and tumors. Pancreatic cancer cells exhibited increased pyruvate carboxylation relative to fibroblasts, and this flux depended on both pyruvate carboxylase and malic enzyme 1 activity. Consequently, expression of both enzymes in cancer cells was necessary for organoid and tumor growth, demonstrating that dissecting the metabolism of specific cell populations within heterogeneous systems can identify dependencies that may not be evident from studying isolated cells in culture or bulk tissue.

Data availability

All data generated or analyzed during this study are included in the manuscript and supporting files.

Article and author information

Author details

  1. Allison N Lau

    Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    No competing interests declared.
  2. Zhaoqi Li

    Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    No competing interests declared.
  3. Laura V Danai

    Department of Biochemistry and Molecular Biology, University of Massachusetts, Amherst, Amherst, MA, United States
    Competing interests
    No competing interests declared.
  4. Anna M Westermark

    Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    No competing interests declared.
  5. Alicia M Darnell

    Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    No competing interests declared.
  6. Raphael Ferreira

    Department of Genetics, Harvard Medical School, Boston, United States
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9881-6232
  7. Vasilena Gocheva

    Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    No competing interests declared.
  8. Sharanya Sivanand

    Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    No competing interests declared.
  9. Evan C Lien

    Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    No competing interests declared.
  10. Kiera M Sapp

    Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    No competing interests declared.
  11. Jared R Mayers

    Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8607-1787
  12. Giulia Biffi

    Cancer and Molecular Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, United States
    Competing interests
    No competing interests declared.
  13. Christopher R Chin

    Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    No competing interests declared.
  14. Shawn M Davidson

    Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    No competing interests declared.
  15. David A Tuveson

    Cancer and Molecular Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, United States
    Competing interests
    No competing interests declared.
  16. Tyler Jacks

    Koch Institute for Integrative Cancer Research and the Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    Tyler Jacks, T.J. is a member of the Board of Directors of Amgen and Thermo Fisher Scientific, is a co-Founder of Dragonfly Therapeutics and T2 Biosystems, and is a scientific advisor of SQZ Biotech, and Skyhawk Therapeutics..
  17. Nicholas J Matheson

    Department of Medicine, University of Cambridge, Cambridge, United Kingdom
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3318-1851
  18. Omer Yilmaz

    Biology, Massachusetts Institute of Technology, Cambridge, United States
    Competing interests
    No competing interests declared.
  19. Matthew G Vander Heiden

    Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
    For correspondence
    mvh@mit.edu
    Competing interests
    Matthew G Vander Heiden, Reviewing editor, eLife; is a scientific advisor for Agios Pharmaceuticals, Aeglea Biotherapeutics, iTeos Therapeutics, and Auron Therapeutics.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6702-4192

Funding

Damon Runyon Cancer Research Foundation (DRG-2241-15)

  • Allison N Lau

National Cancer Institute (U54CA163109)

  • Vasilena Gocheva

Human Frontiers Science Program (LT000195/2015-L)

  • Giulia Biffi

EMBO (ALTF 1203-2014)

  • Giulia Biffi

Howard Hughes Medical Institute

  • Tyler Jacks
  • Matthew G Vander Heiden

MRC (CSF MR/P008801/1)

  • Nicholas J Matheson

NHSBT (WPA15-02)

  • Nicholas J Matheson

NIHR Cambridge BRC

  • Nicholas J Matheson

National Institutes of Health (R01CA211184)

  • Omer Yilmaz

National Institutes of Health (R01CA034992)

  • Omer Yilmaz

Lustgarten Foundation

  • Matthew G Vander Heiden

Damon Runyon Cancer Research Foundation (DRG-2367-19)

  • Sharanya Sivanand

Stand Up To Cancer

  • Matthew G Vander Heiden

MIT Center for Precision Cancer Medicine

  • Matthew G Vander Heiden

Ludwig Center at MIT

  • Tyler Jacks
  • Matthew G Vander Heiden

Emerald Foundation

  • Matthew G Vander Heiden

National Cancer Institute (R01CA168653)

  • Matthew G Vander Heiden

National Cancer Institute (R01CA201276)

  • Matthew G Vander Heiden

National Cancer Institute (R35CA242379)

  • Matthew G Vander Heiden

National Cancer Institute (P30CA14051)

  • Matthew G Vander Heiden

Damon Runyon Cancer Research Foundation (DRG-2299-17)

  • Evan C Lien

National Cancer Institute (K99CA234221)

  • Allison N Lau

National Institutes of Health (T32GM007287)

  • Zhaoqi Li
  • Kiera M Sapp

Jane Coffin Childs Memorial Fund for Medical Research

  • Alicia M Darnell
  • Vasilena Gocheva

Swedish Foundation for Strategic Research

  • Raphael Ferreira

Knut and Alice Wallenberg Foundation

  • Raphael Ferreira

Barbro Osher Pro Suecia Foundation

  • Raphael Ferreira

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

Ethics

Animal experimentation: All animal studies were approved by the MIT Committee on Animal Care under protocol #0119-001-22.

Copyright

© 2020, Lau 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

  • 7,184
    views
  • 1,244
    downloads
  • 69
    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. Allison N Lau
  2. Zhaoqi Li
  3. Laura V Danai
  4. Anna M Westermark
  5. Alicia M Darnell
  6. Raphael Ferreira
  7. Vasilena Gocheva
  8. Sharanya Sivanand
  9. Evan C Lien
  10. Kiera M Sapp
  11. Jared R Mayers
  12. Giulia Biffi
  13. Christopher R Chin
  14. Shawn M Davidson
  15. David A Tuveson
  16. Tyler Jacks
  17. Nicholas J Matheson
  18. Omer Yilmaz
  19. Matthew G Vander Heiden
(2020)
Dissecting cell type-specific metabolism in pancreatic ductal adenocarcinoma
eLife 9:e56782.
https://doi.org/10.7554/eLife.56782

Share this article

https://doi.org/10.7554/eLife.56782

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.