The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Demonstration of inflammation-induced cancer and cancer immunoediting during primary tumorigenesis
Open accessAbstract
Here we report the effects of loss of the Toll-like receptor-associated signaling adaptor myeloid-differentiation factor 88 (MyD88) on tumor induction in two distinct mouse models of carcinogenesis. The 7,12-dimethylbenz[ a ]anthracene (DMBA)/12- O -tetradecanoylphorbol 13-acetate (TPA)-induced skin papilloma model depends on proinflammatory processes, whereas the 3′-methylcholanthrene (MCA) induction of fibrosarcoma has been used by tumor immunologists to illustrate innate and adaptive immune surveillance of cancer. When exposed to a combination of DMBA/TPA, mice lacking MyD88 formed fewer skin papillomas than genetically matched WT controls treated in a similar manner. Unexpectedly, however, fewer MyD88 −/− mice formed sarcomas than WT controls when exposed to MCA. In contrast, MyD88-deficient mice did not show a defective ability to reject highly immunogenic transplanted tumors, including MCA sarcomas. Despite the reported role of TNF in chronic inflammation, TNF-deficient mice were significantly more susceptible to MCA-induced sarcoma than WT mice. Overall, these data not only confirm the key role that MyD88 plays in promoting tumor development but also demonstrate that inflammation-induced carcinogenesis and cancer immunoediting can indeed occur in the same mouse tumor model.
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Cites
Coussens, L. M., & Werb, Z. (2002) · Nature · doi:10.1038/nature01322 · Cited by 15,111
Akira, S., & Takeda, K. (2004) · Nature reviews. Immunology · doi:10.1038/nri1391 · Cited by 8,312
Self-citationIL-23 promotes tumour incidence and growth
Langowski, J. L., Zhang, X., Wu, L., Mattson, J. D., Chen, T., Smith, K., Basham, B., McClanahan, T., Kastelein, R. A., & Oft, M. (2006) · Nature · doi:10.1038/nature04808 · Cited by 1,018
Mice deficient in tumor necrosis factor-α are resistant to skin carcinogenesis
Moore, R. J., Owens, D. M., Stamp, G., Arnott, C., Burke, F., East, N., Holdsworth, H., Turner, L., Rollins, B., Pasparakis, M., et al. (1999) · Nature Medicine · doi:10.1038/10552 · Cited by 839
Krelin, Y., Voronov, E., Dotan, S., Elkabets, M., Reich, E., Fogel, M., Huszar, M., Iwakura, Y., Segal, S., Dinarello, C. A., et al. (2007) · Cancer Research · doi:10.1158/0008-5472.can-06-2956 · Cited by 285
Cited by
Mantovani, A., Allavena, P., Sica, A., & Balkwill, F. (2008) · Nature · doi:10.1038/nature07205 · Cited by 11,399
Immunity, Inflammation, and Cancer
Grivennikov, S. I., Greten, F. R., & Karin, M. (2010) · Cell · doi:10.1016/j.cell.2010.01.025 · Cited by 10,755
Exploring the full spectrum of macrophage activation
Mosser, D. M., & Edwards, J. P. (2008) · Nature Reviews Immunology · doi:10.1038/nri2448 · Cited by 9,144
“Classically activated macrophages have the potential to contribute to the earliest stages of neoplasi”
BackgroundCancer Immunoediting: Integrating Immunity’s Roles in Cancer Suppression and Promotion
Schreiber, R. D., Old, L. J., & Smyth, M. J. (2011) · Science · doi:10.1126/science.1203486 · Cited by 6,474
Self-citationFrom Monocytes to M1/M2 Macrophages: Phenotypical vs. Functional Differentiation
Italiani, P., & Boraschi, D. (2014) · Frontiers in Immunology · doi:10.3389/fimmu.2014.00514 · Cited by 2,067
Inflammation-induced cancer: Crosstalk between tumours, immune cells and microorganisms
Elinav, E., Nowarski, R., Thaiss, C. A., Hu, B., Jin, C., & Flavell, R. A. (2013) · Nature reviews. Cancer · doi:10.1038/nrc3611 · Cited by 2,000
Schwabe, R. F., & Jobin, C. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3610 · Cited by 1,689
STING: infection, inflammation and cancer.
Barber, G. N. (2015) · Nature Reviews Immunology · doi:10.1038/nri3921 · Cited by 1,313
Dangerous liaisons: STAT3 and NF-κB collaboration and crosstalk in cancer
Grivennikov, S. I., & Karin, M. (2010) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2009.11.005 · Cited by 1,160
Toll-like receptors and cancer
Rakoff-Nahoum, S., & Medzhitov, R. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2541 · Cited by 925
Tumor necrosis factor and cancer, buddies or foes?
Wang, X., & Lin, Y. (2008) · Acta Pharmacologica Sinica · doi:10.1111/j.1745-7254.2008.00889.x · Cited by 730
MyD88: a central player in innate immune signaling
Deguine, J., & Barton, G. M. (2014) · F1000Prime Reports · doi:10.12703/p6-97 · Cited by 692
Stagg, J., Loi, S., Divisekera, U., Ngiow, S. F., Duret, H., Yagita, H., Teng, M. W., & Smyth, M. J. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016569108 · Cited by 496
Salcedo, R., Worschech, A., Cardone, M., Jones, Y., Gyulai, Z., Dai, R.-M., Wang, E., Ma, W., Haines, D., O'hUigin, C., et al. (2010) · Journal of Experimental Medicine · doi:10.1084/jem.20100199 · Cited by 429
Rakhra, K., Bachireddy, P., Zabuawala, T., Zeiser, R., Xu, L., Kopelman, A., Fan, A. C., Yang, Q., Braunstein, L., Crosby, E., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.10.002 · Cited by 339
Kokolus, K. M., Capitano, M. L., Lee, C.-T., Eng, J. W.-L., Waight, J. D., Hylander, B. L., Sexton, S., Hong, C.-C., Gordon, C. J., Abrams, S. I., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1304291110 · Cited by 335
Mechanisms linking pathogens-associated inflammation and cancer
Porta, C., Riboldi, E., & Sica, A. (2011) · Cancer Letters · doi:10.1016/j.canlet.2010.10.012 · Cited by 119
Metadata
- Authors
- Swann, J. B., Vesely, M. D., Silva, A., Sharkey, J., Akira, S., Schreiber, R. D., & Smyth, M. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2008-01-15
- Volume
- 105
- Issue
- 2
- Pages
- 652-656
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2006471464
- Cited by
- 308
- References
- 5
- FWCI
- 10.42
- Type
- journal article
- Language
- en
- Open access
- green
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