Distinguishing the immunostimulatory properties of noncoding RNAs expressed in cancer cells
- aTisch Cancer Institute, Department of Medicine, Hematology, and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY 10029;
- bRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903;
- cRoswell Park Cancer Institute, Buffalo, NY 14263;
- dMassachusetts General Hospital, Charlestown, MA 02129;
- eLaboratoire de Physique Théorique, CNRS and Ecole Normale Supérieure, 75005 Paris, France;
- fLaboratoire de Physique Statistique, CNRS and Ecole Normale Supérieure, 75005 Paris, France;
- 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
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Contributed by Arnold J. Levine, September 10, 2015 (sent for review April 27, 2015; reviewed by Chakraborty Arup and Curtis G. Callan Jr.)

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.
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.
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