Sansregret, L., Vanhaesebroeck, B. & Swanton, C. Determinants and medical implications of chromosomal instability in most cancers. Nat. Rev. Clin. Oncol. 15, 139–150 (2018).
MacKenzie, Okay. J. et al. CGAS surveillance of micronuclei hyperlinks genome instability to innate immunity. Nature 548, 461–465 (2017).
Harding, S. M. et al. Mitotic development following DNA injury permits sample recognition inside micronuclei. Nature 548, 466–470 (2017).
Bakhoum, S. F. & Cantley, L. C. The multifaceted position of chromosomal instability in most cancers and its microenvironment. Cell 174, 1347–1360 (2018).
Bakhoum, S. F. et al. Chromosomal instability drives metastasis by means of a cytosolic DNA response. Nature 553, 467–472 (2018).
Ben-David, U. & Amon, A. Context is every part: aneuploidy in most cancers. Nat. Rev. Genet. 21, 44–62 (2020).
Zhou, L., Jilderda, L. J. & Foijer, F. Exploiting aneuploidy-imposed stresses and coping mechanisms to battle most cancers. Open Biol. 10, 200148 (2020).
Santaguida, S. et al. Chromosome mis-segregation generates cell-cycle-arrested cells with advanced karyotypes which are eradicated by the immune system. Dev. Cell 41, 638–651.e5 (2017).
Hirai, H. et al. Small-molecule inhibition of Wee1 kinase by MK-1775 selectively sensitizes p53-deficient tumor cells to DNA-damaging brokers. Mol. Most cancers Ther. 8, 2992–3000 (2009).
Heijink, A. M. et al. A haploid genetic display identifies the G1/S regulatory equipment as a determinant of Wee1 inhibitor sensitivity. Proc. Natl Acad. Sci. USA 112, 15160–15165 (2015).
Pépin, G. & Gantier, M. Assessing the cGAS–cGAMP–STING exercise of most cancers cells. Strategies Mol. Biol. 1725, 257–266 (2018).
Parkes, E. E. et al. The medical and molecular significance related to STING signaling in breast most cancers. NPJ Breast Most cancers 7, 81 (2021).
Dixon, C. R. et al. STING nuclear companions contribute to innate immune signaling responses. iScience 24, 103055 (2021).
Basit, A. et al. The cGAS/STING/TBK1/IRF3 innate immunity pathway maintains chromosomal stability by means of regulation of p21 ranges. Exp. Mol. Med. 52, 643–657 (2020).
Zhong, L. et al. Phosphorylation of cGAS by CDK1 impairs self-DNA sensing in mitosis. Cell Discov. 6, 26 (2020).
Suter, M. A. et al. cGAS–STING cytosolic DNA sensing pathway is suppressed by JAK2–STAT3 in tumor cells. Sci. Rep. 11, 7243 (2021).
Vincent, J. et al. Small molecule inhibition of cGAS reduces interferon expression in main macrophages from autoimmune mice. Nat. Commun. 8, 750 (2017).
Manning, A. L. et al. The kinesin-13 proteins Kif2a, Kif2b, and Kif2c/MCAK have distinct roles throughout mitosis in human cells. Mol. Biol. Cell 18, 2970–2979 (2007).
Pulaski, B. A. & Ostrand‐Rosenberg, S. Mouse 4T1 breast tumor mannequin. Curr. Protoc. Immunol. https://doi.org/10.1002/0471142735.im2002s39 (2000).
Parkes, E. E. et al. Activation of STING-dependent innate immune signaling by S-phase-specific DNA injury in breast most cancers. J. Natl Most cancers Inst. 109, djw199 (2016).
Orr, B., Talje, L., Liu, Z., Kwok, B. H. & Compton, D. A. Adaptive resistance to an inhibitor of chromosomal instability in human most cancers cells. Cell Rep. 17, 1755–1763 (2016).
Avalle, L., Pensa, S., Regis, G., Novelli, F. & Poli, V. STAT1 and STAT3 in tumorigenesis: a matter of steadiness. JAKSTAT 1, 65–72 (2012).
Hui, Okay. P. Y. et al. Extremely pathogenic avian influenza H5N1 virus delays apoptotic responses by way of activation of STAT3. Sci. Rep. 6, 28593 (2016).
Carter, L. et al. Molecular evaluation of circulating tumor cells identifies distinct copy-number profiles in sufferers with chemosensitive and chemorefractory small-cell lung most cancers. Nat. Med. 23, 114–119 (2016).
Senftleben, U. et al. Activation by IKKα of a second, evolutionary conserved, NF-κB signaling pathway. Science 293, 1495–1499 (2001).
Chen, S.-J., Huang, S.-S. & Chang, N.-S. Function of WWOX and NF-κB in lung most cancers development. Transl. Resp. Med. 1, 15 (2013).
Zamanian-Daryoush, M., Mogensen, T. H., DiDonato, J. A. & Williams, B. R. G. NF-κB activation by double-stranded-RNA-activated protein kinase (PKR) is mediated by means of NF-κB-inducing kinase and IκB kinase. Mol. Cell. Biol. 20, 1278–1290 (2000).
Heijink, A. M. et al. BRCA2 deficiency instigates cGAS-mediated inflammatory signaling and confers sensitivity to tumor necrosis factor-α-mediated cytotoxicity. Nat. Commun. 10, 100 (2019).
Johnson, D. E., O’Keefe, R. A. & Grandis, J. R. Concentrating on the IL-6/JAK/STAT3 signalling axis in most cancers. Nat. Rev. Clin. Oncol. 15, 234–248 (2018).
Horvath, C. M. The Jak–STAT pathway stimulated by interferon α or interferon β. Sci. STKE 2004, tr10 (2004).
Bromberg, J. F., Horvath, C. M., Wen, Z., Schreiber, R. D. & Darnell, J. E. Transcriptionally energetic Stat1 is required for the antiproliferative results of each interferon alpha and interferon gamma. Proc. Natl Acad. Sci. USA 93, 7673–7678 (1996).
Carter, S. L., Eklund, A. C., Kohane, I. S., Harris, L. N. & Szallasi, Z. A signature of chromosomal instability inferred from gene expression profiles predicts medical consequence in a number of human cancers. Nat. Genet. 38, 1043–1048 (2006).
Meyers, R. M. et al. Computational correction of copy quantity impact improves specificity of CRISPR–Cas9 essentiality screens in most cancers cells. Nat. Genet. 49, 1779–1784 (2017).
Tsherniak, A. et al. Defining a most cancers dependency map. Cell 170, 564–576 (2017).
Foijer, F. et al. Deletion of the MAD2L1 spindle meeting checkpoint gene is tolerated in mouse fashions of acute T-cell lymphoma and hepatocellular carcinoma. eLife 6, e20873 (2017).
Foijer, F. et al. Chromosome instability induced by Mps1 and p53 mutation generates aggressive lymphomas exhibiting aneuploidy-induced stress. Proc. Natl Acad. Sci. USA 111, 13427–13432 (2014).
de Wind, N., Dekker, M., Berns, A., Radman, M. & te Riele, H. Inactivation of the mouse Msh2 gene ends in mismatch restore deficiency, methylation tolerance, hyperrecombination, and predisposition to most cancers. Cell 82, 321–330 (1995).
Bakker, B. et al. Single-cell sequencing reveals karyotype heterogeneity in murine and human malignancies. Genome Biol. 17, 115 (2016).
van den Bos, H. et al. Quantification of aneuploidy in mammalian programs. Strategies Mol. Biol. 1896, 159–190 (2019).
Shoshani, O. et al. Transient genomic instability drives tumorigenesis by means of accelerated clonal evolution. Genes Dev. 35, 1093–1109 (2021).
Pozo, F. M. et al. MYO10 drives genomic instability and irritation in most cancers. Sci. Adv. 7, eabg6908 (2021).
LJ, S. Tocilizumab: a evaluate in rheumatoid arthritis. Medicine 77, 1865–1879 (2017).
Decout, A., Katz, J. D., Venkatraman, S. & Ablasser, A. The cGAS–STING pathway as a therapeutic goal in inflammatory ailments. Nat. Rev. Immunol. 21, 548–569 (2021).
Jones, V. S. et al. Cytokines in most cancers drug resistance: cues to new therapeutic methods. Biochim. Biophys. Acta 1865, 255–265 (2016).
Duan, Z., Lamendola, D. E., Penson, R. T., Kronish, Okay. M. & Seiden, M. V. Overexpression of IL-6 however not IL-8 will increase paclitaxel resistance of U-2OS human osteosarcoma cells. Cytokine 17, 234–242 (2002).
Ran, F. A. et al. Genome engineering utilizing the CRISPR–Cas9 system. Nat. Protoc. 8, 2281–2308 (2013).
Schukken, Okay. The results of aneuploidy and chromosome instability: survival, cell dying and most cancers. PhD thesis, Univ. Groningen (2020).
FastQC: a top quality management device for prime throughput sequence knowledge model 0.11.9 (Babraham Bioinformatics, 2019).
Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J. 17, 10–12 (2011).
Kim, D., Langmead, B. & Salzberg, S. L. HISAT: a quick spliced aligner with low reminiscence necessities. Nat. Strategies 12, 357–360 (2015).
Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq knowledge with DESeq2. Genome Biol. 15, 550 (2014).
Howe, Okay. L. et al. Ensembl 2021. Nucleic Acids Res. 49, D884–D891 (2021).
Liberzon, A. et al. The Molecular Signatures Database Hallmark Gene Set Assortment. Cell Syst. 1, 417–425 (2015).
Garcia-Alonso, L. et al. Transcription issue actions improve markers of drug sensitivity in most cancers. Most cancers Res. 78, 769–780 (2018).
Colaprico, A. et al. TCGAbiolinks: an R/Bioconductor bundle for integrative evaluation of TCGA knowledge. Nucleic Acids Res. 44, e71 (2016).
Hänzelmann, S., Castelo, R. & Guinney, J. GSVA: gene set variation evaluation for microarray and RNA-seq knowledge. BMC Bioinformatics 14, 7 (2013).
Yoshihara, Okay. et al. Inferring tumour purity and stromal and immune cell admixture from expression knowledge. Nat. Commun. 4, 2612 (2013).
Buccitelli, C. et al. Pan-cancer evaluation distinguishes transcriptional adjustments of aneuploidy from proliferation. Genome Res. 27, 501–511 (2017).
Jassal, B. et al. The reactome pathway knowledgebase. Nucleic Acids Res. 48, D498–D503 (2020).
