Skip to main content

Main menu

  • Home
  • Articles
    • Current
    • Special Feature Articles - Most Recent
    • Special Features
    • Colloquia
    • Collected Articles
    • PNAS Classics
    • List of Issues
  • Front Matter
    • Front Matter Portal
    • Journal Club
  • News
    • For the Press
    • This Week In PNAS
    • PNAS in the News
  • Podcasts
  • Authors
    • Information for Authors
    • Editorial and Journal Policies
    • Submission Procedures
    • Fees and Licenses
  • Submit
  • Submit
  • About
    • Editorial Board
    • PNAS Staff
    • FAQ
    • Accessibility Statement
    • Rights and Permissions
    • Site Map
  • Contact
  • Journal Club
  • Subscribe
    • Subscription Rates
    • Subscriptions FAQ
    • Open Access
    • Recommend PNAS to Your Librarian

User menu

  • Log in
  • My Cart

Search

  • Advanced search
Home
Home
  • Log in
  • My Cart

Advanced Search

  • Home
  • Articles
    • Current
    • Special Feature Articles - Most Recent
    • Special Features
    • Colloquia
    • Collected Articles
    • PNAS Classics
    • List of Issues
  • Front Matter
    • Front Matter Portal
    • Journal Club
  • News
    • For the Press
    • This Week In PNAS
    • PNAS in the News
  • Podcasts
  • Authors
    • Information for Authors
    • Editorial and Journal Policies
    • Submission Procedures
    • Fees and Licenses
  • Submit
Research Article

Distinguishing the immunostimulatory properties of noncoding RNAs expressed in cancer cells

Antoine Tanne, Luciana R. Muniz, Anna Puzio-Kuter, Katerina I. Leonova, Andrei V. Gudkov, David T. Ting, Rémi Monasson, Simona Cocco, Arnold J. Levine, Nina Bhardwaj, and Benjamin D. Greenbaum
  1. aTisch Cancer Institute, Department of Medicine, Hematology, and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY 10029;
  2. bRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903;
  3. cRoswell Park Cancer Institute, Buffalo, NY 14263;
  4. dMassachusetts General Hospital, Charlestown, MA 02129;
  5. eLaboratoire de Physique Théorique, CNRS and Ecole Normale Supérieure, 75005 Paris, France;
  6. fLaboratoire de Physique Statistique, CNRS and Ecole Normale Supérieure, 75005 Paris, France;
  7. gThe Simons Center for Systems Biology, School of Natural Sciences, Institute for Advanced Study, Princeton, NJ 08540;
  8. hDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY 10029

See allHide authors and affiliations

PNAS first published November 2, 2015; https://doi.org/10.1073/pnas.1517584112
Antoine Tanne
aTisch Cancer Institute, Department of Medicine, Hematology, and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY 10029;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Luciana R. Muniz
aTisch Cancer Institute, Department of Medicine, Hematology, and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY 10029;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anna Puzio-Kuter
bRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Katerina I. Leonova
cRoswell Park Cancer Institute, Buffalo, NY 14263;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andrei V. Gudkov
cRoswell Park Cancer Institute, Buffalo, NY 14263;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David T. Ting
dMassachusetts General Hospital, Charlestown, MA 02129;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rémi Monasson
eLaboratoire de Physique Théorique, CNRS and Ecole Normale Supérieure, 75005 Paris, France;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Simona Cocco
fLaboratoire de Physique Statistique, CNRS and Ecole Normale Supérieure, 75005 Paris, France;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Arnold J. Levine
bRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903;
gThe Simons Center for Systems Biology, School of Natural Sciences, Institute for Advanced Study, Princeton, NJ 08540;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: alevine@ias.edu benjamin.greenbaum@mssm.edu
Nina Bhardwaj
aTisch Cancer Institute, Department of Medicine, Hematology, and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY 10029;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Benjamin D. Greenbaum
aTisch Cancer Institute, Department of Medicine, Hematology, and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY 10029;
gThe Simons Center for Systems Biology, School of Natural Sciences, Institute for Advanced Study, Princeton, NJ 08540;
hDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY 10029
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: alevine@ias.edu benjamin.greenbaum@mssm.edu
  1. Contributed by Arnold J. Levine, September 10, 2015 (sent for review April 27, 2015; reviewed by Chakraborty Arup and Curtis G. Callan Jr.)

  • Article
  • Figures & SI
  • Info & Metrics
  • PDF
Loading

Significance

Using an approach derived from statistical physics, we quantify transcriptome-wide motif usage in human and murine noncoding RNAs (ncRNAs), determining that most have motif usage consistent with the coding genome. However, an outlier subset of tumor-associated ncRNAs comprises repetitive elements whose motif usage patterns are more typically associated with the genomes of inflammatory pathogens. We demonstrate that a key subset of these elements directly activates the cellular innate immune response. We propose that the innate response in tumors partially originates from direct interaction of immunogenic ncRNAs preferentially expressed in cancer cells with innate pattern recognition receptors.

Abstract

Recent studies have demonstrated abundant transcription of a set of noncoding RNAs (ncRNAs) preferentially within tumors as opposed to normal tissue. Using an approach from statistical physics, we quantify global transcriptome-wide motif use for the first time, to our knowledge, in human and murine ncRNAs, determining that most have motif use consistent with the coding genome. However, an outlier subset of tumor-associated ncRNAs, typically of recent evolutionary origin, has motif use that is often indicative of pathogen-associated RNA. For instance, we show that the tumor-associated human repeat human satellite repeat II (HSATII) is enriched in motifs containing CpG dinucleotides in AU-rich contexts that most of the human genome and human adapted viruses have evolved to avoid. We demonstrate that a key subset of these ncRNAs functions as immunostimulatory “self-agonists” and directly activates cells of the mononuclear phagocytic system to produce proinflammatory cytokines. These ncRNAs arise from endogenous repetitive elements that are normally silenced, yet are often very highly expressed in cancers. We propose that the innate response in tumors may partially originate from direct interaction of immunogenic ncRNAs expressed in cancer cells with innate pattern recognition receptors, and thereby assign a previously unidentified danger-associated function to a set of dark matter repetitive elements. These findings potentially reconcile several observations concerning the role of ncRNA expression in cancers and their relationship to the tumor microenvironment.

  • noncoding RNA
  • genome evolution
  • cancer immunology

Footnotes

  • ↵1To whom correspondence may be addressed. Email: alevine{at}ias.edu or benjamin.greenbaum{at}mssm.edu.
  • ↵2N.B. and B.D.G. contributed equally to this work.

  • Author contributions: A.T., D.T.T., R.M., S.C., A.J.L., N.B., and B.D.G. designed research; A.T., L.R.M., A.P.-K., R.M., S.C., and B.D.G. performed research; D.T.T., R.M., S.C., and B.D.G. contributed new reagents/analytic tools; A.T., L.R.M., A.P.-K., K.I.L., A.V.G., D.T.T., R.M., S.C., A.J.L., N.B., and B.D.G. analyzed data; and A.T., D.T.T., R.M., S.C., A.J.L., N.B., and B.D.G. wrote the paper.

  • Reviewers: C.A., Massachusetts Institute of Technology; and C.G.C., Princeton University.

  • The authors declare no conflict of interest.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1517584112/-/DCSupplemental.

Freely available online through the PNAS open access option.

Next
Back to top
Article Alerts
Email Article

Thank you for your interest in spreading the word on PNAS.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Distinguishing the immunostimulatory properties of noncoding RNAs expressed in cancer cells
(Your Name) has sent you a message from PNAS
(Your Name) thought you would like to see the PNAS web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Properties of noncoding RNAs expressed in cancer
Antoine Tanne, Luciana R. Muniz, Anna Puzio-Kuter, Katerina I. Leonova, Andrei V. Gudkov, David T. Ting, Rémi Monasson, Simona Cocco, Arnold J. Levine, Nina Bhardwaj, Benjamin D. Greenbaum
Proceedings of the National Academy of Sciences Nov 2015, 201517584; DOI: 10.1073/pnas.1517584112

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Request Permissions
Share
Properties of noncoding RNAs expressed in cancer
Antoine Tanne, Luciana R. Muniz, Anna Puzio-Kuter, Katerina I. Leonova, Andrei V. Gudkov, David T. Ting, Rémi Monasson, Simona Cocco, Arnold J. Levine, Nina Bhardwaj, Benjamin D. Greenbaum
Proceedings of the National Academy of Sciences Nov 2015, 201517584; DOI: 10.1073/pnas.1517584112
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Mendeley logo Mendeley

See related content:

  • Reverse-transcribed satellite repeats in cancer
    - Nov 02, 2015

See related content:

  • Silent pericentromeric repeats speak out
    - Nov 18, 2015
Proceedings of the National Academy of Sciences: 118 (9)
Current Issue

Submit

Sign up for Article Alerts

Jump to section

  • Article
  • Figures & SI
  • Info & Metrics
  • PDF

You May Also be Interested in

Setting sun over a sun-baked dirt landscape
Core Concept: Popular integrated assessment climate policy models have key caveats
Better explicating the strengths and shortcomings of these models will help refine projections and improve transparency in the years ahead.
Image credit: Witsawat.S.
Model of the Amazon forest
News Feature: A sea in the Amazon
Did the Caribbean sweep into the western Amazon millions of years ago, shaping the region’s rich biodiversity?
Image credit: Tacio Cordeiro Bicudo (University of São Paulo, São Paulo, Brazil), Victor Sacek (University of São Paulo, São Paulo, Brazil), and Lucy Reading-Ikkanda (artist).
Syrian archaeological site
Journal Club: In Mesopotamia, early cities may have faltered before climate-driven collapse
Settlements 4,200 years ago may have suffered from overpopulation before drought and lower temperatures ultimately made them unsustainable.
Image credit: Andrea Ricci.
Steamboat Geyser eruption.
Eruption of Steamboat Geyser
Mara Reed and Michael Manga explore why Yellowstone's Steamboat Geyser resumed erupting in 2018.
Listen
Past PodcastsSubscribe
Birds nestling on tree branches
Parent–offspring conflict in songbird fledging
Some songbird parents might improve their own fitness by manipulating their offspring into leaving the nest early, at the cost of fledgling survival, a study finds.
Image credit: Gil Eckrich (photographer).

Similar Articles

Site Logo
Powered by HighWire
  • Submit Manuscript
  • Twitter
  • Facebook
  • RSS Feeds
  • Email Alerts

Articles

  • Current Issue
  • Special Feature Articles – Most Recent
  • List of Issues

PNAS Portals

  • Anthropology
  • Chemistry
  • Classics
  • Front Matter
  • Physics
  • Sustainability Science
  • Teaching Resources

Information

  • Authors
  • Editorial Board
  • Reviewers
  • Subscribers
  • Librarians
  • Press
  • Site Map
  • PNAS Updates
  • FAQs
  • Accessibility Statement
  • Rights & Permissions
  • About
  • Contact

Feedback    Privacy/Legal

Copyright © 2021 National Academy of Sciences. Online ISSN 1091-6490