A Paradoxical Role for Somatic Chromosomal Mosaicism and Chromosome Instability in Cancer: Theoretical and Technological Aspects.

Aneuploidy Cancer Chromosome instability Cytogenomics Molecular cytogenetics Somatic chromosomal mosaicism System analysis

Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2024
Historique:
medline: 24 6 2024
pubmed: 24 6 2024
entrez: 24 6 2024
Statut: ppublish

Résumé

Somatic chromosomal mosaicism, chromosome instability, and cancer are intimately linked together. Addressing the role of somatic genome variations (encompassing chromosomal mosaicism and instability) in cancer yields paradoxical results. Firstly, somatic mosaicism for specific chromosomal rearrangement causes cancer per se. Secondly, chromosomal mosaicism and instability are associated with a variety of diseases (chromosomal disorders demonstrating less severe phenotypes, complex diseases), which exhibit cancer predisposition. Chromosome instability syndromes may be considered the best examples of these diseases. Thirdly, chromosomal mosaicism and instability are able to result not only in cancerous diseases but also in non-cancerous disorders (brain diseases, autoimmune diseases, etc.). Currently, the molecular basis for these three outcomes of somatic chromosomal mosaicism and chromosome instability remains incompletely understood. Here, we address possible mechanisms for the aforementioned scenarios using a system analysis model. A number of theoretical models based on studies dedicated to chromosomal mosaicism and chromosome instability seem to be valuable for disentangling and understanding molecular pathways to cancer-causing genome chaos. In addition, technological aspects of uncovering causes and consequences of somatic chromosomal mosaicism and chromosome instability are discussed. In total, molecular cytogenetics, cytogenomics, and system analysis are likely to form a powerful technological alliance for successful research against cancer.

Identifiants

pubmed: 38913303
doi: 10.1007/978-1-0716-3946-7_3
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

67-78

Informations de copyright

© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Références

Fernández LC, Torres M, Real FX (2016) Somatic mosaicism: on the road to cancer. Nat Rev Cancer 16(1):43–55. https://doi.org/10.1038/nrc.2015.1
doi: 10.1038/nrc.2015.1 pubmed: 26678315
Machiela MJ (2019) Mosaicism, aging and cancer. Curr Opin Oncol 31(2):108–113. https://doi.org/10.1097/CCO.0000000000000500
doi: 10.1097/CCO.0000000000000500 pubmed: 30585859 pmcid: 6367020
Iourov IY, Vorsanova SG, Yurov YB, Kutsev SI (2019) Ontogenetic and pathogenetic views on somatic chromosomal mosaicism. Genes (Basel) 10:379. https://doi.org/10.3390/genes10050379
doi: 10.3390/genes10050379 pubmed: 31109140
Iourov IY, Vorsanova SG, Yurov YB (2010) Somatic genome variations in health and disease. Curr Genomics 11(6):387–396. https://doi.org/10.2174/138920210793176065
doi: 10.2174/138920210793176065 pubmed: 21358982 pmcid: 3018718
Robberecht C, Fryns JP, Vermeesch JR (2010) Piecing together the problems in diagnosing low-level chromosomal mosaicism. Genome Med 2(7):47. https://doi.org/10.1186/gm168
doi: 10.1186/gm168 pubmed: 20670383 pmcid: 2923739
Schick UM, McDavid A, Crane PK et al (2013) Confirmation of the reported association of clonal chromosomal mosaicism with an increased risk of incident hematologic cancer. PLoS One 8(3):e59823. https://doi.org/10.1371/journal.pone.0059823
doi: 10.1371/journal.pone.0059823 pubmed: 23533652 pmcid: 3606281
Vorsanova SG, Yurov YB, Iourov IY (2020) Dynamic nature of somatic chromosomal mosaicism, genetic-environmental interactions and therapeutic opportunities in disease and aging. Mol Cytogenet 13:16. https://doi.org/10.1186/s13039-020-00488-0
doi: 10.1186/s13039-020-00488-0 pubmed: 32411302 pmcid: 7206664
Ye CJ, Stilgenbauer L, Moy A et al (2019) What is karyotype coding and why is genomic topology important for cancer and evolution? Front Genet 10:1082. https://doi.org/10.3389/fgene.2019.01082
doi: 10.3389/fgene.2019.01082 pubmed: 31737054 pmcid: 6838208
Heng J, Heng HH (2021) Genome chaos, information creation, and cancer emergence: searching for new frameworks on the 50th anniversary of the “war on cancer”. Genes (Basel) 13:101. https://doi.org/10.3390/genes13010101
doi: 10.3390/genes13010101 pubmed: 35052441
Gecow A, Iantovics LB, Tez M (2022) Cancer and chaos and the complex network model of a multicellular organism. Biology (Basel) 11:1317. https://doi.org/10.3390/biology11091317
doi: 10.3390/biology11091317 pubmed: 36138796
Heng J, Heng HH (2022) Genome chaos: creating new genomic information essential for cancer macroevolution. Semin Cancer Biol 81:160–175. https://doi.org/10.1016/j.semcancer.2020.11.003
doi: 10.1016/j.semcancer.2020.11.003 pubmed: 33189848
Yurov YB, Vorsanova SG, Iourov IY (2019) Chromosome instability in the neurodegenerating brain. Front Genet 10:892. https://doi.org/10.3389/fgene.2019.00892
doi: 10.3389/fgene.2019.00892 pubmed: 31616475 pmcid: 6764389
Lin X, Kapoor A, Gu Y et al (2020) Contributions of DNA damage to Alzheimer’s disease. Int J Mol Sci 21(5):1666. https://doi.org/10.3390/ijms21051666
doi: 10.3390/ijms21051666 pubmed: 32121304 pmcid: 7084447
Thompson SL, Bakhoum SF, Compton DA (2010) Mechanisms of chromosomal instability. Curr Biol 20(6):R285–R295. https://doi.org/10.1016/j.cub.2010.01.034
doi: 10.1016/j.cub.2010.01.034 pubmed: 20334839 pmcid: 3781365
Lee JK, Choi YL, Kwon M, Park PJ (2016) Mechanisms and consequences of cancer genome instability: lessons from genome sequencing studies. Annu Rev Pathol 11:283–312. https://doi.org/10.1146/annurev-pathol-012615-044446
doi: 10.1146/annurev-pathol-012615-044446 pubmed: 26907526
Iourov IY, Vorsanova SG, Kurinnaia OS et al (2022) Somatic mosaicism in the diseased brain. Mol Cytogenet 15(1):45. https://doi.org/10.1186/s13039-022-00624-y
doi: 10.1186/s13039-022-00624-y pubmed: 36266706 pmcid: 9585840
Dhital B, Rodriguez-Bravo V (2023) Mechanisms of chromosomal instability (CIN) tolerance in aggressive tumors: surviving the genomic chaos. Chromosom Res 31(2):15. https://doi.org/10.1007/s10577-023-09724-w
doi: 10.1007/s10577-023-09724-w
Iourov IY, Vorsanova SG, Liehr T et al (2009) Increased chromosome instability dramatically disrupts neural genome integrity and mediates cerebellar degeneration in the ataxia-telangiectasia brain. Hum Mol Genet 18(14):2656–2669. https://doi.org/10.1093/hmg/ddp207
doi: 10.1093/hmg/ddp207 pubmed: 19414482
Rothblum-Oviatt C, Wright J, Lefton-Greif MA et al (2016) Ataxia telangiectasia: a review. Orphanet J Rare Dis 11(1):159. https://doi.org/10.1186/s13023-016-0543-7
doi: 10.1186/s13023-016-0543-7 pubmed: 27884168 pmcid: 5123280
Ye JC, Horne S, Zhang JZ et al (2021) Therapy induced genome chaos: a novel mechanism of rapid cancer drug resistance. Front Cell Dev Biol 9:676344. https://doi.org/10.3389/fcell.2021.676344
doi: 10.3389/fcell.2021.676344 pubmed: 34195196 pmcid: 8237085
Iourov IY, Yurov YB, Vorsanova SG, Kutsev SI (2021) Chromosome instability, aging and brain diseases. Cells 10(5):1256. https://doi.org/10.3390/cells10051256
doi: 10.3390/cells10051256 pubmed: 34069648 pmcid: 8161106
Ganmore I, Smooha G, Izraeli S (2009) Constitutional aneuploidy and cancer predisposition. Hum Mol Genet 18(R1):R84–R93. https://doi.org/10.1093/hmg/ddp084
doi: 10.1093/hmg/ddp084 pubmed: 19297405 pmcid: 2657942
Nižetić D, Groet J (2012) Tumorigenesis in Down’s syndrome: big lessons from a small chromosome. Nat Rev Cancer 12(10):721–732. https://doi.org/10.1038/nrc3355
doi: 10.1038/nrc3355 pubmed: 22996602
Pyle LC, Nathanson KL (2017) A practical guide for evaluating gonadal germ cell tumor predisposition in differences of sex development. Am J Med Genet C Semin Med Genet 175(2):304–314. https://doi.org/10.1002/ajmg.c.31562
doi: 10.1002/ajmg.c.31562 pubmed: 28544305 pmcid: 5538907
Vorsanova SG, Kolotii AD, Kurinnaia OS et al (2021) Turner’s syndrome mosaicism in girls with neurodevelopmental disorders: a cohort study and hypothesis. Mol Cytogenet 14(1):9. https://doi.org/10.1186/s13039-021-00529-2
doi: 10.1186/s13039-021-00529-2 pubmed: 33573679 pmcid: 7879607
Vorsanova SG, Demidova IA, Kolotii AD et al (2022) Klinefelter syndrome mosaicism in boys with neurodevelopmental disorders: a cohort study and an extension of the hypothesis. Mol Cytogenet 15:8. https://doi.org/10.1186/s13039-022-00588-z
doi: 10.1186/s13039-022-00588-z pubmed: 35248137 pmcid: 8897849
Oromendia AB, Amon A (2014) Aneuploidy: implications for protein homeostasis and disease. Dis Model Mech 7(1):15–20. https://doi.org/10.1242/dmm.013391
doi: 10.1242/dmm.013391 pubmed: 24396150 pmcid: 3882044
Iourov IY, Vorsanova SG, Kurinnaia OS et al (2021) Causes and consequences of genome instability in psychiatric and neurodegenerative diseases. Mol Biol 55(1):37–46. https://doi.org/10.1134/S0026893321010155
doi: 10.1134/S0026893321010155
Heng HH (2015) Debating cancer: the paradox in cancer research. World Scientific Publishing Company, New Jersey. https://doi.org/10.1142/8879
doi: 10.1142/8879
Iourov IY, Vorsanova SG, Yurov YB (2019) The variome concept: focus on CNVariome. Mol Cytogenet 12:52. https://doi.org/10.1186/s13039-019-0467-8
doi: 10.1186/s13039-019-0467-8 pubmed: 31890032 pmcid: 6924070
Iourov IY, Vorsanova SG, Yurov YB (2021) Systems cytogenomics: are we ready yet? Curr Genomics 22(2):75–78. https://doi.org/10.2174/1389202922666210219112419
doi: 10.2174/1389202922666210219112419 pubmed: 34220294 pmcid: 8188578
Iourov IY, Vorsanova SG, Kurinnaia OS et al (2022) Molecular cytogenetic and cytopostgenomic analysis of the human genome. Res Results Biomed 8(4):412–423. https://doi.org/10.18413/2658-6533-2022-8-4-0-1
doi: 10.18413/2658-6533-2022-8-4-0-1
Iourov IY, Vorsanova SG, Yurov YB et al (2020) The cytogenomic “theory of everything”: chromohelkosis may underlie chromosomal instability and mosaicism in disease and aging. Int J Mol Sci 21(21):8328. https://doi.org/10.3390/ijms21218328
doi: 10.3390/ijms21218328 pubmed: 33171981 pmcid: 7664247
Iourov IY, Vorsanova SG (2022) COVID-19 and aging-related genome (chromosome) instability in the brain: another possible time-bomb of SARS-CoV-2 infection. Front Aging Neurosci 14:786264. https://doi.org/10.3389/fnagi.2022.786264
doi: 10.3389/fnagi.2022.786264 pubmed: 35309884 pmcid: 8928435
Price WN (2018) Big data and black-box medical algorithms. Sci Transl Med 10(471):eaao5333. https://doi.org/10.1126/scitranslmed.aao533
doi: 10.1126/scitranslmed.aao533 pubmed: 30541791 pmcid: 6345162
Campbell PJ (2022) Demystifying the black box: from ignorance to observation to mechanism in cancer research. Eur J Epidemiol. https://doi.org/10.1007/s10654-022-00935-9
Yurov YB, Vorsanova SG, Iourov IY (2017) Network-based classification of molecular cytogenetic data. Curr Bioinforma 12:27–33. https://doi.org/10.2174/1574893611666160606165119
doi: 10.2174/1574893611666160606165119
Jiang L, Xiao Y, Ding Y et al (2018) Discovering cancer subtypes via an accurate fusion strategy on multiple profile data. Front Genet 10:20. https://doi.org/10.3389/fgene.2019.00020
doi: 10.3389/fgene.2019.00020
Iourov IY, Vorsanova SG, Yurov YB (2019) Pathway-based classification of genetic diseases. Mol Cytogenet 12:4. https://doi.org/10.1186/s13039-019-0418-4
doi: 10.1186/s13039-019-0418-4 pubmed: 30766616 pmcid: 6362588
Heng HH, Bremer SW, Stevens JB et al (2013) Chromosomal instability (CIN): what it is and why it is crucial to cancer evolution. Cancer Metastasis Rev 32(3–4):325–340. https://doi.org/10.1007/s10555-013-9427-7
doi: 10.1007/s10555-013-9427-7 pubmed: 23605440
Vargas-Rondón N, Villegas VE, Rondón-Lagos M (2017) The role of chromosomal instability in cancer and therapeutic responses. Cancers (Basel) 10(1):4. https://doi.org/10.3390/cancers10010004
doi: 10.3390/cancers10010004 pubmed: 29283387
Turajlic S, Sottoriva A, Graham T, Swanton C (2019) Resolving genetic heterogeneity in cancer. Nat Rev Genet 20(7):404–416. https://doi.org/10.1038/s41576-019-0114-6
doi: 10.1038/s41576-019-0114-6 pubmed: 30918367
Ye CJ, Sharpe Z, Heng HH (2020) Origins and consequences of chromosomal instability: from cellular adaptation to genome chaos-mediated system survival. Genes (Basel) 11(10):1162. https://doi.org/10.3390/genes1110116
doi: 10.3390/genes1110116 pubmed: 33008067
Iourov IY (2019) Cytopostgenomics: what is it and how does it work? Curr Genomics 20(2):77–78. https://doi.org/10.2174/138920292002190422120524
doi: 10.2174/138920292002190422120524 pubmed: 31555057 pmcid: 6728900
Tabarés-Seisdedos R, Rubenstein JL (2013) Inverse cancer comorbidity: a serendipitous opportunity to gain insight into CNS disorders. Nat Rev Neurosci 14(4):293–304. https://doi.org/10.1038/nrn3464
doi: 10.1038/nrn3464 pubmed: 23511909
Iourov IY, Gerasimov AP, Zelenova MA et al (2023) Cytogenomic epileptology. Mol Cytogenet 16(1):1. https://doi.org/10.1186/s13039-022-00634-w
Hisama F, Weissman SM, Martin GM (2003) Chromosomal instability and aging: basic science and clinical implications. CRC Press
doi: 10.1201/9780203911709
Yurov YB, Vorsanova SG, Iourov IY (2009) GIN’n’CIN hypothesis of brain aging: deciphering the role of somatic genetic instabilities and neural aneuploidy during ontogeny. Mol Cytogenet 2:23. https://doi.org/10.1186/1755-8166-2-23
doi: 10.1186/1755-8166-2-23 pubmed: 19939257 pmcid: 2787505
Maslov AY, Vijg J (2009) Genome instability, cancer and aging. Biochim Biophys Acta 1790(10):963–969. https://doi.org/10.1016/j.bbagen.2009.03.020
doi: 10.1016/j.bbagen.2009.03.020 pubmed: 19344750 pmcid: 4354930
Yurov YB, Vorsanova SG, Iourov IY (2010) Ontogenetic variation of the human genome. Curr Genomics 11(6):420–425. https://doi.org/10.2174/138920210793175958
doi: 10.2174/138920210793175958 pubmed: 21358986 pmcid: 3018722
Potter H, Chial HJ, Caneus J et al (2019) Chromosome instability and mosaic aneuploidy in neurodegenerative and neurodevelopmental disorders. Front Genet 10:1092. https://doi.org/10.3389/fgene.2019.01092
Vorsanova SG, Yurov YB, Soloviev IV, Iourov IY (2010) Molecular cytogenetic diagnosis and somatic genome variations. Curr Genomics 11(6):440–446. https://doi.org/10.2174/138920210793176010
doi: 10.2174/138920210793176010 pubmed: 21358989 pmcid: 3018725
Liehr T (ed) (2022) Cytogenetics and molecular cytogenetics. CRC Press
Heng E, Thanedar S, Heng HH (2023) Challenges and opportunities for clinical cytogenetics in the 21st century. Genes (Basel) 14(2):493. https://doi.org/10.3390/genes14020493
doi: 10.3390/genes14020493 pubmed: 36833419
Iourov IY, Vorsanova SG, Yurov YB (2011) Genomic landscape of the Alzheimer’s disease brain: chromosome instability—aneuploidy, but not tetraploidy—mediates neurodegeneration. Neurodegener Dis 8(1–2):35–37. https://doi.org/10.1159/000315398
doi: 10.1159/000315398 pubmed: 21135562
Costantino I, Nicodemus J, Chun J (2021) Genomic Mosaicism formed by somatic variation in the aging and diseased brain. Genes (Basel) 12(7):1071. https://doi.org/10.3390/genes12071071
doi: 10.3390/genes12071071 pubmed: 34356087 pmcid: 8305509
Vorsanova SG, Yurov YB, Iourov IY (2010) Human interphase chromosomes: a review of available molecular cytogenetic technologies. Mol Cytogenet 3:1. https://doi.org/10.1186/1755-8166-3-1
doi: 10.1186/1755-8166-3-1 pubmed: 20180947 pmcid: 2830939
Yurov YB, Vorsanova SG, Iourov IY (2013) Human interphase chromosomes: biomedical aspects. Springer, New York
doi: 10.1007/978-1-4614-6558-4
Iourov IY, Vorsanova SG, Yurov YB (2020) Human interphase chromosomes: biomedical aspects, 2nd edn. Springer, New York
doi: 10.1007/978-3-030-62532-0
Gordon DJ, Resio B, Pellman D (2012) Causes and consequences of aneuploidy in cancer. Nat Rev Genet 13(3):189–203
doi: 10.1038/nrg3123 pubmed: 22269907
Iourov IY, Vorsanova SG, Yurov YB (2012) Single cell genomics of the brain: focus on neuronal diversity and neuropsychiatric diseases. Curr Genomics 13(6):477–488. https://doi.org/10.2174/138920212802510439
doi: 10.2174/138920212802510439 pubmed: 23449087 pmcid: 3426782
Vorsanova SG, Yurov YB, Soloviev IV et al (2019) FISH-based analysis of mosaic aneuploidy and chromosome instability for investigating molecular and cellular mechanisms of disease. OBM Genet 3(1):9. https://doi.org/10.21926/obm.genet.1901068
doi: 10.21926/obm.genet.1901068
Liehr T (2022) Chromosomal heteromorphisms and cancer susceptibility revisited. Cells 11(20):3239. https://doi.org/10.3390/cells11203239
doi: 10.3390/cells11203239 pubmed: 36291106 pmcid: 9600968
Tiganov AS, Yurov YB, Vorsanova SG, Yurov IY (2012) Genomic instability in the brain: etiology, pathogenesis and new biological markers of psychiatric disorders. Vestn Ross Akad Med Nauk 67(9):45–53
doi: 10.15690/vramn.v67i9.406
Dai X, Guo X (2021) Decoding and rejuvenating human ageing genomes: lessons from mosaic chromosomal alterations. Ageing Res Rev 68:101342. https://doi.org/10.1016/j.arr.2021.101342
doi: 10.1016/j.arr.2021.101342 pubmed: 33866012
Vorsanova SG, Iourov IY, Kolotii AD et al (2010) Chromosomal mosaicism in spontaneous abortions: analysis of 650 cases. Russ J Genet 46(10):1197–1200. https://doi.org/10.1134/S1022795410100133
doi: 10.1134/S1022795410100133
Vorsanova SG, Voinova VY, Yurov IY et al (2010) Cytogenetic, molecular-cytogenetic, and clinical-genealogical studies of the mothers of children with autism: a search for familial genetic markers for autistic disorders. Neurosci Behav Physiol 40(7):745–756. https://doi.org/10.1007/s11055-010-9321-5
doi: 10.1007/s11055-010-9321-5 pubmed: 20635215
Yurov YB, Vorsanova SG, Demidova IA et al (2018) Mosaic brain aneuploidy in mental illnesses: an association of low-level post-zygotic aneuploidy with schizophrenia and comorbid psychiatric disorders. Curr Genomics 19(3):163–172. https://doi.org/10.2174/1389202918666170717154340
doi: 10.2174/1389202918666170717154340 pubmed: 29606903 pmcid: 5850504
Yurov YB, Vorsanova SG, Iourov IY (2023) FISHing for chromosome instability and aneuploidy in the Alzheimer’s disease brain. Methods Mol Biol 2561:191–204. https://doi.org/10.1007/978-1-0716-2655-9_10
doi: 10.1007/978-1-0716-2655-9_10 pubmed: 36399271
Iourov IY, Soloviev IV, Vorsanova SG et al (2005) An approach for quantitative assessment of fluorescence in situ hybridization (FISH) signals for applied human molecular cytogenetics. J Histochem Cytochem 53(3):401–408. https://doi.org/10.1369/jhc.4A6419.2005
doi: 10.1369/jhc.4A6419.2005 pubmed: 15750029
Iourov IY (2017) Quantitative fluorescence in situ hybridization (QFISH). Methods Mol Biol 1541:143–149. https://doi.org/10.1007/978-1-4939-6703-2_13
doi: 10.1007/978-1-4939-6703-2_13 pubmed: 27910021
Iourov IY, Liehr T, Vorsanova SG et al (2006) Visualization of interphase chromosomes in postmitotic cells of the human brain by multicolour banding (MCB). Chromosom Res 14(3):223–229. https://doi.org/10.1007/s10577-006-1037-6
doi: 10.1007/s10577-006-1037-6
Iourov IY, Liehr T, Vorsanova SG, Yurov YB (2007) Interphase chromosome-specific multicolor banding (ICS-MCB): a new tool for analysis of interphase chromosomes in their integrity. Biomol Eng 24(4):415–417. https://doi.org/10.1016/j.bioeng.2007.05.003
doi: 10.1016/j.bioeng.2007.05.003 pubmed: 17627882
Iourov IY, Liehr T, Vorsanova SG et al (2019) The applicability of interphase chromosome-specific multicolor banding (ICS-MCB) for studying neurodevelopmental and neurodegenerative disorders. Res Results Biomed 5(3):4–9
doi: 10.18413/2658-6533-2019-5-3-0-1
Iourov IY, Vorsanova SG, Yurov YB (2014) In silico molecular cytogenetics: a bioinformatic approach to prioritization of candidate genes and copy number variations for basic and clinical genome research. Mol Cytogenet 7(1):98. https://doi.org/10.1186/s13039-014-0098-z
doi: 10.1186/s13039-014-0098-z pubmed: 25525469 pmcid: 4269961
Iourov IY, Vorsanova SG, Voinova VY, Yurov YB (2015) 3p22.1p21.31 microdeletion identifies CCK as Asperger syndrome candidate gene and shows the way for therapeutic strategies in chromosome imbalances. Mol Cytogenet 8:82. https://doi.org/10.1186/s13039-015-0185-9
doi: 10.1186/s13039-015-0185-9 pubmed: 26523151 pmcid: 4628252
Vorsanova SG, Yurov YB, Iourov IY (2017) Neurogenomic pathway of autism spectrum disorders: linking germline and somatic mutations to genetic-environmental interactions. Curr Bioinforma 12(1):19–26
doi: 10.2174/1574893611666160606164849
Zelenova MA, Yurov YB, Vorsanova SG, Iourov IY (2019) Laundering CNV data for candidate process prioritization in brain disorders. Mol Cytogenet 12:54. https://doi.org/10.1186/s13039-019-0468-7
doi: 10.1186/s13039-019-0468-7 pubmed: 31890034 pmcid: 6933640
Heng H, Regan S (2017) A systems biology perspective on molecular cytogenetics. Curr Bioinform 12(1):4–10
Iourov IY (2019) Cytogenomic bioinformatics: practical issues. Curr Bioinform 14(5):372–373
doi: 10.2174/157489361405190628122156
Zelenova MA, Iourov IY (2022) Possibilities and limitations of CNV interpretation software and algorithms in Homo Sapiens. Curr Bioinform 17(10):883–887
Szklarczyk D, Gable AL, Lyon D et al (2019) STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res 47(D1):D607–D613. https://doi.org/10.1093/nar/gky1131
doi: 10.1093/nar/gky1131 pubmed: 30476243
Gao C, Furge K, Koeman J et al (2008) Chromosome instability, chromosome transcriptome, and clonal evolution of tumor cell populations. Proc Natl Acad Sci USA 104(21):8995–9000. https://doi.org/10.1073/pnas.0700631104
doi: 10.1073/pnas.0700631104
Kim S, Kon M, DeLisi C (2012) Pathway-based classification of cancer subtypes. Biol Direct 7:21. https://doi.org/10.1186/1745-6150-7-21
doi: 10.1186/1745-6150-7-21 pubmed: 22759382 pmcid: 3485163
Ben-Hamo R, Jacob Berger A, Gavert N et al (2020) Predicting and affecting response to cancer therapy based on pathway-level biomarkers. Nat Commun 11(1):3296. https://doi.org/10.1038/s41467-020-17090-y
doi: 10.1038/s41467-020-17090-y pubmed: 32620799 pmcid: 7335104
Watkins TBK, Lim EL, Petkovic M et al (2020) Pervasive chromosomal instability and karyotype order in tumour evolution. Nature 587(7832):126–132. https://doi.org/10.1038/s41586-020-2698-6
doi: 10.1038/s41586-020-2698-6 pubmed: 32879494 pmcid: 7611706
Cimini D, Degrassi F (2005) Aneuploidy: a matter of bad connections. Trends Cell Biol 15(8):442–451. https://doi.org/10.1016/j.tcb.2005.06.008
doi: 10.1016/j.tcb.2005.06.008 pubmed: 16023855
Iourov IY, Vorsanova SG, Yurov YB (2006) Intercellular genomic (chromosomal) variations resulting in somatic mosaicism: mechanisms and consequences. Curr Genomics 7(7):435–446. https://doi.org/10.2174/138920206779116756
doi: 10.2174/138920206779116756
Baudoin NC, Bloomfield M (2021) Karyotype aberrations in action: the evolution of cancer genomes and the tumor microenvironment. Genes (Basel) 12(4):558. https://doi.org/10.3390/genes12040558
doi: 10.3390/genes12040558 pubmed: 33921421
Iourov IY, Vorsanova SG, Yurov YB (2013) Somatic cell genomics of brain disorders: a new opportunity to clarify genetic-environmental interactions. Cytogenet Genome Res 139(3):181–188. https://doi.org/10.1159/000347053
doi: 10.1159/000347053 pubmed: 23428498
Rao CV, Asch AS, Yamada HY (2017) Frequently mutated genes/pathways and genomic instability as prevention targets in liver cancer. Carcinogenesis 38(1):2–11. https://doi.org/10.1093/carcin/bgw118
doi: 10.1093/carcin/bgw118 pubmed: 27838634
Wilhelm T, Said M, Naim V (2020) DNA replication stress and chromosomal instability: dangerous liaisons. Genes (Basel) 11(6):642. https://doi.org/10.3390/genes11060642
doi: 10.3390/genes11060642 pubmed: 32532049
Ye CJ, Chen J, Liu G, Heng HH (2020) Somatic genomic mosaicism in multiple myeloma. Front Genet 11:388. https://doi.org/10.3389/fgene.2020.00388
doi: 10.3389/fgene.2020.00388 pubmed: 32391059 pmcid: 7189895
Heng E, Moy A, Liu G et al (2021) ER stress and micronuclei cluster: stress response contributes to genome chaos in cancer. Front Cell Dev Biol 9:673188. https://doi.org/10.3389/fcell.2021.673188
doi: 10.3389/fcell.2021.673188 pubmed: 34422803 pmcid: 8371933
Iourov IY, Vorsanova SG, Yurov YB (2008) Developmental neural chromosome instability as a possible cause of childhood brain cancers. Med Hypotheses 72(5):615–616. https://doi.org/10.1016/j.mehy.2008.12.003
doi: 10.1016/j.mehy.2008.12.003
Marshall GM, Carter DR, Cheung BB (2014) The prenatal origins of cancer. Nat Rev Cancer 14(4):277–289. https://doi.org/10.1038/nrc3679
doi: 10.1038/nrc3679 pubmed: 24599217 pmcid: 4041218
Filbin M, Monje M (2019) Developmental origins and emerging therapeutic opportunities for childhood cancer. Nat Med 25(3):367–376. https://doi.org/10.1038/s41591-019-0383-9
doi: 10.1038/s41591-019-0383-9 pubmed: 30842674 pmcid: 6631320

Auteurs

Ivan Y Iourov (IY)

Yurov's Laboratory of Molecular Genetics and Cytogenomics of the Brain, Mental Health Research Center, Moscow, Russia.
Vorsanova's Laboratory of Molecular Cytogenetics of Neuropsychiatric Diseases, Veltischev Research and Clinical Institute for Pediatrics and Pediatric Surgery of the Pirogov Russian National Research Medical University of the Russian Ministry of Health, Moscow, Russia.

Svetlana G Vorsanova (SG)

Yurov's Laboratory of Molecular Genetics and Cytogenomics of the Brain, Mental Health Research Center, Moscow, Russia.
Vorsanova's Laboratory of Molecular Cytogenetics of Neuropsychiatric Diseases, Veltischev Research and Clinical Institute for Pediatrics and Pediatric Surgery of the Pirogov Russian National Research Medical University of the Russian Ministry of Health, Moscow, Russia.

Yuri B Yurov (YB)

Yurov's Laboratory of Molecular Genetics and Cytogenomics of the Brain, Mental Health Research Center, Moscow, Russia.
Vorsanova's Laboratory of Molecular Cytogenetics of Neuropsychiatric Diseases, Veltischev Research and Clinical Institute for Pediatrics and Pediatric Surgery of the Pirogov Russian National Research Medical University of the Russian Ministry of Health, Moscow, Russia.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH