Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Mitochondrial fragmentation limits NK cell-based tumor immunosurveillance

Abstract

Natural killer (NK) cells have crucial roles in tumor surveillance. We found that tumor-infiltrating NK cells in human liver cancers had small, fragmented mitochondria in their cytoplasm, whereas liver NK cells outside tumors, as well as peripheral NK cells, had normal large, tubular mitochondria. This fragmentation was correlated with reduced cytotoxicity and NK cell loss, resulting in tumor evasion of NK cell-mediated surveillance, which predicted poor survival in patients with liver cancer. The hypoxic tumor microenvironment drove the sustained activation of mechanistic target of rapamycin-GTPase dynamin-related protein 1 (mTOR-Drp1) in NK cells, resulting in excessive mitochondrial fission into fragments. Inhibition of mitochondrial fragmentation improved mitochondrial metabolism, survival and the antitumor capacity of NK cells. These data reveal a mechanism of immune escape that might be targetable and could invigorate NK cell-based cancer treatments.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Mitochondrial fragmentation in TINK cells.
Fig. 2: Hypoxia induces mitochondrial fragmentation in NK cells.
Fig. 3: Hypoxia causes mitochondrial fragmentation by enhancing the constitutive activation of mTOR-Drp1 signaling.
Fig. 4: Mitochondrial fragmentation affects TINK cell survival.
Fig. 5: Aberrant mitochondrial metabolism is correlated with mitochondrial fragmentation in TINK cells.
Fig. 6: Restoration of the mitochondrial metabolism of TINK cells contributes to an increased antitumor capacity.

Similar content being viewed by others

Data availability

Microarray data were deposited into the National Center for Biotechnology Information Gene Expression Omnibus repository (accession number: GSE120123). The clinical characteristics of all patients included in the present study are shown in Supplementary Tables 13. All gene sets are shown in Supplementary Table 4. The antibodies used are shown in Supplementary Table 5. Full scans of all of the blots and gels are included in the Source Data. The data that support the findings of this study are available from the corresponding author upon request.

References

  1. Barry, K. C. et al. A natural killer–dendritic cell axis defines checkpoint therapy-responsive tumor microenvironments. Nat. Med. 24, 1178–1191 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Lopez-Soto, A., Gonzalez, S., Smyth, M. J. & Galluzzi, L. Control of metastasis by NK cells. Cancer Cell 32, 135–154 (2017).

    CAS  PubMed  Google Scholar 

  3. Morvan, M. G. & Lanier, L. L. NK cells and cancer: you can teach innate cells new tricks. Nat. Rev. Cancer 16, 7–19 (2016).

    CAS  PubMed  Google Scholar 

  4. Dadi, S. et al. Cancer immunosurveillance by tissue-resident innate lymphoid cells and innate-like T cells. Cell 164, 365–377 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Ghesquiere, B., Wong, B. W., Kuchnio, A. & Carmeliet, P. Metabolism of stromal and immune cells in health and disease. Nature 511, 167–176 (2014).

    CAS  PubMed  Google Scholar 

  6. Chang, C. H. et al. Metabolic competition in the tumor microenvironment is a driver of cancer progression. Cell 162, 1229–1241 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Gemta, L. F. et al. Impaired enolase 1 glycolytic activity restrains effector functions of tumor-infiltrating CD8+ T cells. Sci. Immunol. 4, eaap9520 (2019).

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Ma, C. et al. NAFLD causes selective CD4+ T lymphocyte loss and promotes hepatocarcinogenesis. Nature 531, 253–257 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  9. Sugiura, A. & Rathmell, J. C. Metabolic barriers to T cell function in tumors. J. Immunol. 200, 400–407 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Assmann, N. et al. Srebp-controlled glucose metabolism is essential for NK cell functional responses. Nat. Immunol. 18, 1197–1206 (2017).

    CAS  PubMed  Google Scholar 

  11. Marcais, A. et al. The metabolic checkpoint kinase mTOR is essential for IL-15 signaling during the development and activation of NK cells. Nat. Immunol. 15, 749–757 (2014).

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Keating, S. E. et al. Metabolic reprogramming supports IFN-γ production by CD56bright NK cells. J. Immunol. 196, 2552–2560 (2016).

    CAS  PubMed  Google Scholar 

  13. Keppel, M. P., Saucier, N., Mah, A. Y., Vogel, T. P. & Cooper, M. A. Activation-specific metabolic requirements for NK cell IFN-γ production. J. Immunol. 194, 1954–1962 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  14. O’Brien, K. L. & Finlay, D. K. Immunometabolism and natural killer cell responses. Nat. Rev. Immunol. 19, 282–290 (2019).

    PubMed  Google Scholar 

  15. O’Sullivan, T. E., Johnson, L. R., Kang, H. H. & Sun, J. C. BNIP3- and BNIP3L-mediated mitophagy promotes the generation of natural killer cell memory. Immunity 43, 331–342 (2015).

    PubMed  PubMed Central  Google Scholar 

  16. Pearce, E. L., Poffenberger, M. C., Chang, C. H. & Jones, R. G. Fueling immunity: insights into metabolism and lymphocyte function. Science 342, 1242454 (2013).

    PubMed  PubMed Central  Google Scholar 

  17. Mills, E. L., Kelly, B. & O’Neill, L. A. J. Mitochondria are the powerhouses of immunity. Nat. Immunol. 18, 488–498 (2017).

    CAS  PubMed  Google Scholar 

  18. Rambold, A. S. & Pearce, E. L. Mitochondrial dynamics at the interface of immune cell metabolism and function. Trends Immunol. 39, 6–18 (2018).

    CAS  PubMed  Google Scholar 

  19. De Brito, O. M. & Scorrano, L. Mitofusin 2 tethers endoplasmic reticulum to mitochondria. Nature 456, 605–610 (2008).

    PubMed  Google Scholar 

  20. Cogliati, S. et al. Mitochondrial cristae shape determines respiratory chain supercomplexes assembly and respiratory efficiency. Cell 155, 160–171 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Youle, R. J. & Karbowski, M. Mitochondrial fission in apoptosis. Nat. Rev. Mol. Cell Biol. 6, 657–663 (2005).

    CAS  PubMed  Google Scholar 

  22. Buck, M. D., O’Sullivan, D. & Pearce, E. L. T cell metabolism drives immunity. J. Exp. Med. 212, 1345–1360 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  23. Yu, T., Robotham, J. L. & Yoon, Y. Increased production of reactive oxygen species in hyperglycemic conditions requires dynamic change of mitochondrial morphology. Proc. Natl Acad. Sci. USA 103, 2653–2658 (2006).

    CAS  PubMed  Google Scholar 

  24. Vaupel, P. & Mayer, A. Hypoxia in tumors: pathogenesis-related classification, characterization of hypoxia subtypes, and associated biological and clinical implications. Adv. Exp. Med. Biol. 812, 19–24 (2014).

    CAS  PubMed  Google Scholar 

  25. Krzywinska, E. et al. Loss of HIF-1α in natural killer cells inhibits tumour growth by stimulating non-productive angiogenesis. Nat. Commun. 8, 1597 (2017).

    PubMed  PubMed Central  Google Scholar 

  26. Van der Bliek, A. M., Shen, Q. & Kawajiri, S. Mechanisms of mitochondrial fission and fusion. Cold Spring Harb. Perspect. Biol. 5, a011072 (2013).

    PubMed  PubMed Central  Google Scholar 

  27. Taguchi, N., Ishihara, N., Jofuku, A., Oka, T. & Mihara, K. Mitotic phosphorylation of dynamin-related GTPase Drp1 participates in mitochondrial fission. J. Biol. Chem. 282, 11521–11529 (2007).

    CAS  PubMed  Google Scholar 

  28. Lackner, L. L. & Nunnari, J. Small molecule inhibitors of mitochondrial division: tools that translate basic biological research into medicine. Chem. Biol. 17, 578–583 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Macia, E. et al. Dynasore, a cell-permeable inhibitor of dynamin. Dev. Cell 10, 839–850 (2006).

    CAS  PubMed  Google Scholar 

  30. Chen, H. et al. Mitofusins Mfn1 and Mfn2 coordinately regulate mitochondrial fusion and are essential for embryonic development. J. Cell Biol. 160, 189–200 (2003).

    CAS  PubMed  PubMed Central  Google Scholar 

  31. Chen, H. & Chan, D. C. Emerging functions of mammalian mitochondrial fusion and fission. Hum. Mol. Genet. 14, R283–R289 (2005).

    CAS  PubMed  Google Scholar 

  32. Schofield, C. J. & Ratcliffe, P. J. Oxygen sensing by HIF hydroxylases. Nat. Rev. Mol. Cell Biol. 5, 343–354 (2004).

    CAS  PubMed  Google Scholar 

  33. Peng, H. et al. Liver-resident NK cells confer adaptive immunity in skin-contact inflammation. J. Clin. Invest. 123, 1444–1456 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  34. Bjorkstrom, N. K., Ljunggren, H. G. & Michaelsson, J. Emerging insights into natural killer cells in human peripheral tissues. Nat. Rev. Immunol. 16, 310–320 (2016).

    PubMed  Google Scholar 

  35. Davoli, T., Uno, H., Wooten, E. C. & Elledge, S. J. Tumor aneuploidy correlates with markers of immune evasion and with reduced response to immunotherapy. Science 355, eaaf8399 (2017).

    PubMed  PubMed Central  Google Scholar 

  36. Youle, R. J. & van der Bliek, A. M. Mitochondrial fission, fusion, and stress. Science 337, 1062–1065 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  37. Van der Windt, G. J. et al. Mitochondrial respiratory capacity is a critical regulator of CD8+ T cell memory development. Immunity 36, 68–78 (2012).

    CAS  PubMed  Google Scholar 

  38. Buck, M. D. et al. Mitochondrial dynamics controls T cell fate through metabolic programming. Cell 166, 63–76 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  39. Cong, J. et al. Dysfunction of natural killer cells by FBP1-induced inhibition of glycolysis during lung cancer progression. Cell Metab. 28, 243–255 (2018).

    CAS  PubMed  Google Scholar 

  40. Kaiser, B. K. et al. Disulphide-isomerase-enabled shedding of tumour-associated NKG2D ligands. Nature 447, 482–486 (2007).

    CAS  PubMed  Google Scholar 

  41. Kopp, H. G., Placke, T. & Salih, H. R. Platelet-derived transforming growth factor-β down-regulates NKG2D thereby inhibiting natural killer cell antitumor reactivity. Cancer Res. 69, 7775–7783 (2009).

    CAS  PubMed  Google Scholar 

  42. Yang, M. et al. NK cell development requires Tsc1-dependent negative regulation of IL-15-triggered mTORC1 activation. Nat. Commun. 7, 12730 (2016).

    PubMed  PubMed Central  Google Scholar 

  43. Michelet, X. et al. Metabolic reprogramming of natural killer cells in obesity limits antitumor responses. Nat. Immunol. 19, 1330–1340 (2018).

    CAS  PubMed  Google Scholar 

  44. Cassidy-Stone, A. et al. Chemical inhibition of the mitochondrial division dynamin reveals its role in Bax/Bak-dependent mitochondrial outer membrane permeabilization. Dev. Cell 14, 193–204 (2008).

    CAS  PubMed  PubMed Central  Google Scholar 

  45. Heng, T. S., Painter, M. W. & Immunological Genome Project Consortium. The Immunological Genome Project: networks of gene expression in immune cells. Nat. Immunol. 9, 1091–1094 (2008).

    CAS  PubMed  Google Scholar 

  46. Adzhubei, I. A. et al. A method and server for predicting damaging missense mutations. Nat. Methods 7, 248–249 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  47. Davoli, T. et al. Cumulative haploinsufficiency and triplosensitivity drive aneuploidy patterns and shape the cancer genome. Cell 155, 948–962 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  48. Friedman, J., Hastie, T. & Tibshirani, R. Regularization paths for generalized linear models via coordinate descent. J. Stat. Softw. 33, 1–22 (2010).

    PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank W. Tao for advice regarding RNA sequencing data analyses. This work was supported by the Natural Science Foundation of China (reference numbers 81330071, 81788101, 81872318 and 81602491) and the Strategic Priority Research Program of the Chinese Academy of Sciences (XDPB1002 and XDA12020217).

Author information

Authors and Affiliations

Authors

Contributions

H.W., Z.T. and X.Z. conceived and conducted the project. H.W. supervised the project. X.Z. and H.W. wrote the paper. X.Z. performed the experiments and data analysis. D.J. contributed to the cell culture and mouse models. Y.Q., P.C., Y.S. and Y.J. collected tissue samples and information from patients. R.S. and B.F. contributed to the imaging analysis and interpreted the data. H.Z. performed the hypoxic experiments.

Corresponding authors

Correspondence to Zhigang Tian or Haiming Wei.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Zoltan Fehervari was the primary editor on this article and managed its editorial process and peer review in collaboration with the rest of the editorial team.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary Figs. 1–6 and Supplementary Tables 1–5.

Reporting Summary

Supplementary Video 1

Mitochondrial dynamics of live hypoxic NK cells from donor 54 during 120 min of filming.

Supplementary Video 2

Mitochondrial dynamics of live hypoxic NK cells from donor 55 during 120 min of filming.

Supplementary Video 3

Mitochondrial dynamics of live hypoxic NK cells from donor 56 during 120 min of filming.

Supplementary Video 4

Mitochondrial dynamics of live normal NK cells from donor 54 during 120 min of filming.

Supplementary Video 5

Mitochondrial dynamics of live normal NK cells from donor 55 during 120 min of filming.

Supplementary Video 6

Mitochondrial dynamics of live normal NK cells from donor 56 during 120 min of filming.

Source data

Source Data Fig. 1

Unprocessed versions of the western blots shown in Fig, 3

Source Data Fig. 2

Unprocessed versions of the western blots shown in Supplementary Fig. 3

Source Data Fig. 3

Unprocessed versions of the western blots shown in Supplementary Fig. 4

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zheng, X., Qian, Y., Fu, B. et al. Mitochondrial fragmentation limits NK cell-based tumor immunosurveillance. Nat Immunol 20, 1656–1667 (2019). https://doi.org/10.1038/s41590-019-0511-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41590-019-0511-1

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing