Torre, L. A. et al. World most cancers statistics, 2012. CA Most cancers J. Clin. 65, 87–108. https://doi.org/10.3322/caac.21262 (2015).
Bray, F. et al. World most cancers statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 nations. CA Most cancers J. Clin. 68, 394–424. https://doi.org/10.3322/caac.21492 (2018).
Ferlay, J. et al. Most cancers statistics for the yr 2020: An summary. Int. J. Most cancers 149, 778–789. https://doi.org/10.1002/ijc.33588 (2021).
Hanahan, D. & Weinberg, R. A. Hallmarks of most cancers: The subsequent era. cell 144, 646–674. https://doi.org/10.1016/j.cell.2011.02.013 (2011).
Hanahan, D. Hallmarks of most cancers: New dimensions. Most cancers Discov. 12, 31–46. https://doi.org/10.1158/2159-8290.CD-21-1059 (2022).
Papaccio, F. et al. Concise overview: most cancers cells, most cancers stem cells, and mesenchymal stem cells: Affect in most cancers improvement. Stem Cells Transl. Med. 6, 2115–2125. https://doi.org/10.1002/sctm.17-0138 (2017).
Virga, F., Ehling, M. & Mazzone, M. Blood vessel proximity shapes most cancers cell metabolism. Cell Metab. 30, 16–18. https://doi.org/10.1016/j.cmet.2019.06.011 (2019).
Chu, D.-T. et al. The consequences of adipocytes on the regulation of breast most cancers within the tumor microenvironment: An replace. Cells 8, 857. https://doi.org/10.3390/cells8080857 (2019).
Corrêa, L. H., Corrêa, R., Farinasso, C. M., de Sant’Ana Dourado, L. P. & Magalhães, Okay. G. Adipocytes and macrophages interaction within the orchestration of tumor microenvironment: New implications in most cancers development. Entrance. Immunol. 8, 1129. https://doi.org/10.3389/fimmu.2017.01129 (2017).
Su, S. et al. CD10+ GPR77+ cancer-associated fibroblasts promote most cancers formation and chemoresistance by sustaining most cancers stemness. Cell 172, 841–856. https://doi.org/10.1016/j.cell.2018.01.009 (2018).
Monteran, L. & Erez, N. The darkish aspect of fibroblasts: Most cancers-associated fibroblasts as mediators of immunosuppression within the tumor microenvironment. Entrance. Immunol. 10, 1835. https://doi.org/10.3389/fimmu.2019.01835 (2019).
Vesely, M. D., Kershaw, M. H., Schreiber, R. D. & Smyth, M. J. Pure innate and adaptive immunity to most cancers. Ann. Rev. Immunol. 29, 235–271. https://doi.org/10.1146/annurev-immunol-031210-101324 (2011).
Shurin, M. R., Umansky, V., Malyguine, A. & Scientist, P. The Tumor Immunoenvironment (Springer, 2013).
Binnewies, M. et al. Understanding the tumor immune microenvironment (TIME) for efficient remedy. Nat. Med. 24, 541–550. https://doi.org/10.1038/s41591-018-0014-x (2018).
Egeblad, M., Nakasone, E. S. & Werb, Z. Tumors as organs: Complicated tissues that interface with your complete organism. Dev. Cell 18, 884–901. https://doi.org/10.1016/j.devcel.2010.05.012 (2010).
Lyssiotis, C. A. & Kimmelman, A. C. Metabolic interactions within the tumor microenvironment. Developments Cell Biol. 27, 863–875. https://doi.org/10.1016/j.tcb.2017.06.003 (2017).
Van Ginderachter, J. A. The Tumor Immunoenvironment 405–430 (Springer, 2013).
Sica, A. et al. Seminars in Most cancers Biology 349–355 (Elsevier, 2008). https://doi.org/10.1016/j.semcancer.2008.03.004.
Condeelis, J. & Pollard, J. W. Macrophages: Obligate companions for tumor cell migration, invasion, and metastasis. Cell 124, 263–266. https://doi.org/10.1016/j.cell.2006.01.007 (2006).
Vitale, I., Manic, G., Coussens, L. M., Kroemer, G. & Galluzzi, L. Macrophages and metabolism within the tumor microenvironment. Cell Metab. 30, 36–50. https://doi.org/10.1016/j.cmet.2019.06.001 (2019).
Balkwill, F., Charles, Okay. A. & Mantovani, A. Smoldering and polarized irritation within the initiation and promotion of malignant illness. Most cancers Cell 7, 211–217. https://doi.org/10.1016/j.ccr.2005.02.013 (2005).
Jeong, H. et al. Tumor-associated macrophages improve tumor hypoxia and cardio glycolysis. Most cancers Res. 79, 795–806. https://doi.org/10.1158/0008-5472.CAN-18-2545 (2019).
Noy, R. & Pollard, J. W. Tumor-associated macrophages: from mechanisms to remedy. Immunity 41, 49–61. https://doi.org/10.1016/j.immuni.2014.06.010 (2014).
Saccani, A. et al. p50 nuclear factor-κB overexpression in tumor-associated macrophages inhibits M1 inflammatory responses and antitumor resistance. Most cancers Res. 66, 11432–11440. https://doi.org/10.1158/0008-5472.CAN-06-1867 (2006).
Frese, Okay. Okay. & Tuveson, D. A. Maximizing mouse most cancers fashions. Nat. Rev. Most cancers 7, 654–658. https://doi.org/10.1038/nrc2192 (2007).
Music, H. Okay. & Hwang, D. Y. Use of C57BL/6N mice on the number of immunological researches. Lab. Anim. Res. 33, 119–123. https://doi.org/10.5625/lar.2017.33.2.119 (2017).
Kranen, H. J. V. et al. Frequent p 53 alterations however low incidence of ras mutations in UV-B-induced pores and skin tumors of hairless mice. Carcinogenesis 16, 1141–1147. https://doi.org/10.1093/carcin/16.5.1141 (1995).
Balmain, A. & Pragnell, I. B. Mouse pores and skin carcinomas induced in vivo by chemical carcinogens have a reworking Harvey-ras oncogene. Nature 303, 72–74. https://doi.org/10.1038/303072a0 (1983).
Cardiff, R. D. & Kenney, N. Mouse mammary tumor biology: A brief historical past. Adv. Most cancers Res. 98, 53–116. https://doi.org/10.1016/S0065-230X(06)98003-8 (2007).
Enno, A. et al. MALToma-like lesions within the murine gastric mucosa after long-term an infection with Helicobacter felis. A mouse mannequin of Helicobacter pylori-induced gastric lymphoma. Am. J. Pathol. 147, 217 (1995).
Jonkers, J. & Berns, A. Conditional mouse fashions of sporadic most cancers. Nat. Rev. Most cancers 2, 251–265. https://doi.org/10.1038/nrc777 (2002).
Workman, P. et al. Tips for the welfare and use of animals in most cancers analysis. Br. J. Most cancers 102, 1555–1577. https://doi.org/10.1038/sj.bjc.6605642 (2010).
Crawley, J. N. What’s Improper with my Mouse?: Behavioral Phenotyping of Transgenic and Knockout Mice (Wiley, 2007).
Sicoli, D. et al. CCR5 receptor antagonists block metastasis to bone of v-Src oncogene-transformed metastatic prostate most cancers cell strains. Most cancers Res. 74, 7103–7114. https://doi.org/10.1158/0008-5472.CAN-14-0612 (2014).
Jantscheff, P. et al. Mouse-Derived Isograft (MDI) in vivo tumor fashions I. spontaneous sMDI fashions: Characterization and most cancers therapeutic approaches. Cancers 11, 244. https://doi.org/10.3390/cancers11020244 (2019).
Flurkey, Okay. & Currer, J. M. The Jackson Laboratory Handbook on Genetically Standardized Mice (Jackson Laboratory, 2009).
Gingrich, J. R. et al. Metastatic prostate most cancers in a transgenic mouse. Most cancers Res. 56, 4096–4102 (1996).
Chiaverotti, T. et al. Dissociation of epithelial and neuroendocrine carcinoma lineages within the transgenic adenocarcinoma of mouse prostate mannequin of prostate most cancers. Am. J. Pathol. 172, 236–246. https://doi.org/10.2353/ajpath.2008.070602 (2008).
Bianchi-Frias, D., Pritchard, C., Mecham, B. H., Coleman, I. M. & Nelson, P. S. Genetic background influences murine prostate gene expression: Implications for most cancers phenotypes. Genome Biol. 8, 1–15. https://doi.org/10.1186/gb-2007-8-6-r117 (2007).
Pollard, J. W. Tumour-educated macrophages promote tumour development and metastasis. Nat. Rev. Most cancers 4, 71. https://doi.org/10.1038/nrc1256 (2004).
Quatromoni, J. G. & Eruslanov, E. Tumor-associated macrophages: Perform, phenotype, and hyperlink to prognosis in human lung most cancers. Am. J. Trans. Res. 4, 376 (2012).
Bingle, Á., Brown, N. & Lewis, C. The position of tumour-associated macrophages in tumour development: Implications for brand new anticancer therapies. J. Pathol. A J. Pathol. Soc. Nice Br. Irel. 196, 254–265. https://doi.org/10.1002/path.1027 (2002).
Lin, E. Y., Nguyen, A. V., Russell, R. G. & Pollard, J. W. Colony-stimulating issue 1 promotes development of mammary tumors to malignancy. J. Exp. Med. 193, 727–740. https://doi.org/10.1084/jem.193.6.727 (2001).
Gajewski, T. F., Schreiber, H. & Fu, Y.-X. Innate and adaptive immune cells within the tumor microenvironment. Nat. Immunol. 14, 1014–1022. https://doi.org/10.1038/ni.2703 (2013).
Kraman, M. et al. Suppression of antitumor immunity by stromal cells expressing fibroblast activation protein–α. Science 330, 827–830. https://doi.org/10.1126/science.1195300 (2010).
Dong, P. et al. CD86+/CD206+, diametrically polarized tumor-associated macrophages, predict hepatocellular carcinoma affected person prognosis. Int. J. Mol. Sci. 17, 320. https://doi.org/10.3390/ijms17030320 (2016).
Jeong, H., Hwang, I., Kang, S. H., Shin, H. C. & Kwon, S. Y. Tumor-associated macrophages as potential prognostic biomarkers of invasive breast most cancers. J. Breast Most cancers 22, 38–51. https://doi.org/10.4048/jbc.2019.22.e5 (2019).
Xu, M. et al. Intratumoral supply of IL-21 overcomes anti-Her2/Neu resistance via shifting tumor-associated macrophages from M2 to M1 phenotype. J. Immunol. 194, 4997–5006. https://doi.org/10.4049/jimmunol.1402603 (2015).
Jayasingam, S. D. et al. Evaluating the polarization of tumor-associated macrophages into M1 and M2 phenotypes in human most cancers tissue: technicalities and challenges in routine medical observe. Entrance. Oncol. 9, 1512. https://doi.org/10.3389/fonc.2019.01512 (2020).
Harms, P. W. et al. Multiplex immunohistochemistry and immunofluorescence: A sensible replace for pathologists. Mod. Pathol. 36, 100197. https://doi.org/10.1016/j.modpat.2023.100197 (2023).
Badr, N. M. et al. Characterization of the immune microenvironment in inflammatory breast most cancers utilizing multiplex immunofluorescence. Pathobiology 90, 31–43. https://doi.org/10.1159/000524549 (2023).
Rojas, F., Hernandez, S., Lazcano, R., Laberiano-Fernandez, C. & Parra, E. R. Multiplex immunofluorescence and the digital picture evaluation workflow for analysis of the tumor immune setting in translational analysis. Entrance. Oncol. 12, 889886. https://doi.org/10.3389/fonc.2022.889886 (2022).
Freeman, H. C., Hugill, A., Expensive, N. T., Ashcroft, F. M. & Cox, R. D. Deletion of nicotinamide nucleotide transhydrogenase: A brand new quantitive trait locus accounting for glucose intolerance in C57BL/6J mice. Diabetes 55, 2153–2156. https://doi.org/10.2337/db06-0358 (2006).
Mekada, Okay. et al. Genetic variations amongst C57BL/6 substrains. Exp. Anim. 58, 141–149. https://doi.org/10.1538/expanim.58.141 (2009).
Huang, T.-T. et al. Genetic modifiers of the phenotype of mice poor in mitochondrial superoxide dismutase. Hum. Mol. Genet. 15, 1187–1194. https://doi.org/10.1093/hmg/ddl034 (2006).
Bryant, C. D. et al. Behavioral variations amongst C57BL/6 substrains: Implications for transgenic and knockout research. J. Neurogenet. 22, 315–331 (2008).
Matsuo, N. et al. Behavioral profiles of three C57BL/6 substrains. Entrance. Behav. Neurosci. 4, 29. https://doi.org/10.3389/fnbeh.2010.00029 (2010).
Fischer, M., Kosyakova, N., Liehr, T. & Dobrowolski, P. Giant deletion on the Y-chromosome lengthy arm (Yq) of C57bl/6jbomtac inbred mice. Mamm. Genome 28, 31–37. https://doi.org/10.1007/s00335-016-9669-0 (2017).
MacBride, M. M., Navis, A., Dasari, A. & Perez, A. V. Delicate reproductive affect of a Y chromosome deletion on a C57BL/6J substrain. Mamm. Genome 28, 155–165. https://doi.org/10.1007/s00335-017-9680-0 (2017).
Mattapallil, M. J. et al. The Rd8 mutation of the Crb1 gene is current in vendor strains of C57BL/6N mice and embryonic stem cells, and confounds ocular induced mutant phenotypes. Investig. Ophthalmol. Vis. Sci. 53, 2921–2927. https://doi.org/10.1167/iovs.12-9662 (2012).
Kumar, V. et al. C57BL/6N mutation in cytoplasmic FMRP interacting protein 2 regulates cocaine response. Science 342, 1508–1512. https://doi.org/10.1126/science.1245503 (2013).
Mahajan, V. S. et al. Putting immune phenotypes in gene-targeted mice are pushed by a copy-number variant originating from a commercially accessible C57BL/6 pressure. Cell Rep. 15, 1901–1909. https://doi.org/10.1016/j.celrep.2016.04.080 (2016).
Kajioka, E. H., Andres, M. L., Nelson, G. A. & Gridley, D. S. Immunologic variables in female and male C57BL/6 mice from two sources. Comp. Med. 50, 288–291 (2000).
Åhlgren, J. & Voikar, V. Experiments finished in Black-6 mice: what does it imply?. Lab. Anim. 48, 171–180. https://doi.org/10.1038/s41684-019-0288-8 (2019).
Dobrowolski, P., Fischer, M. & Naumann, R. Novel insights into the genetic background of genetically modified mice. Trans. Res. 27, 265–275. https://doi.org/10.1007/s11248-018-0073-2 (2018).
Council, N. R. Information for the Care and Use of Laboratory Animals. (2010).
