Contribution of allelic imbalance to colorectal cancer

Autor: Aurora Taira, Emmanouil T. Dermitzakis, Sandeep Kumar Botla, Jussi Taipale, Päivi Sulo, Ulrika A. Hänninen, Bernhard Schmierer, Roosa-Maria Plaketti, Kashyap Dave, Niko Välimäki, Tatiana Cajuso, Torben F. Ørntoft, Anna Vähärautio, Päivi Pihlajamaa, Mervi Aavikko, Maria Sokolova, Halit Ongen, Sari Tuupanen, Johanna Kondelin, Outi Kilpivaara, Anna Lepistö, Kornelia Gladysz, Jukka-Pekka Mecklin, Esa Pitkänen, Eevi Kaasinen, Heli Rauanheimo, Marta Grau, Lauri A. Aaltonen, Mikko P. Turunen, Ari Ristimäki, Linda van den Berg, Riku Katainen, Tuomo Hartonen, Jesper B. Bramsen, Claus L. Andersen, Teemu Kivioja, Tomas Tanskanen, Kimmo Palin, Biswajyoti Sahu, Laura Renkonen-Sinisalo
Přispěvatelé: Palin, Kimmo [0000-0002-4621-6128], Kivioja, Teemu [0000-0002-7732-2177], Schmierer, Bernhard [0000-0002-9082-7022], Ongen, Halit [0000-0002-4197-5790], Dermitzakis, Emmanouil [0000-0002-9302-6490], Apollo - University of Cambridge Repository, Research Programs Unit, Lauri Antti Aaltonen / Principal Investigator, Genome-Scale Biology (GSB) Research Program, Department of Medical and Clinical Genetics, Medicum, University of Helsinki, Doctoral Programme in Integrative Life Science, Centre of Excellence in Stem Cell Metabolism, Nutrient sensing laboratory, Jussi Taipale / Principal Investigator, Institute of Biotechnology, Department of Pathology, HUSLAB, Gastrointestinal tumorigenesis, Clinicum, Doctoral Programme in Clinical Research, Department of Surgery, II kirurgian klinikka, HUS Abdominal Center
Jazyk: angličtina
Rok vydání: 2018
Předmět:
0301 basic medicine
Denmark
Loss of Heterozygosity
General Physics and Astronomy
Allelic Imbalance
Loss of heterozygosity
Genotype
ddc:576.5
RNA
Small Interfering

lcsh:Science
RNA
Small Interfering/genetics

Genetics
Multidisciplinary
Genomics
Phenotype
3. Good health
GENOME
syöpägeenit
Tumor Suppressor Protein p53/genetics
Colorectal Neoplasms
Chromosomes
Human
Pair 8

GENES
DNA Copy Number Variations
Science
Transcription Factors/genetics
colorectal cancer
Biology
Article
General Biochemistry
Genetics and Molecular Biology

Proto-Oncogene Proteins p21(ras)
Proto-Oncogene Proteins p21(ras)/genetics
03 medical and health sciences
medicine
Humans
Point Mutation
Genetic Predisposition to Disease
Gene
paksusuolisyöpä
Chromosome Aberrations
Whole Genome Sequencing
HUMAN-COLON
Gene Expression Profiling
Point mutation
Cancer
General Chemistry
medicine.disease
Colorectal Neoplasms/genetics
ENHANCERS
030104 developmental biology
CELLS
lcsh:Q
3111 Biomedicine
Tumor Suppressor Protein p53
CRISPR-Cas Systems
mutaatiot
Transcription Factors
Microsatellite Repeats
Zdroj: Palin, K, Pitkänen, E, Turunen, M, Sahu, B, Pihlajamaa, P, Kivioja, T, Kaasinen, E, Välimäki, N, Hänninen, U A, Cajuso, T, Aavikko, M, Tuupanen, S, Kilpivaara, O, van den Berg, L, Kondelin, J, Tanskanen, T, Katainen, R, Grau, M, Rauanheimo, H, Plaketti, R-M, Taira, A, Sulo, P, Hartonen, T, Dave, K, Schmierer, B, Botla, S, Sokolova, M, Vähärautio, A, Gladysz, K, Ongen, H, Dermitzakis, E, Bramsen, J B, Ørntoft, T F, Andersen, C L, Ristimäki, A, Lepistö, A, Renkonen-Sinisalo, L, Mecklin, J-P, Taipale, J & Aaltonen, L A 2018, ' Contribution of allelic imbalance to colorectal cancer ', Nature Communications, vol. 9, 3664 . https://doi.org/10.1038/s41467-018-06132-1
Nature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
Nature Communications
Nature Communications, Vol. 9, No 1 (2018) P. 3664
ISSN: 2041-1723
DOI: 10.1038/s41467-018-06132-1
Popis: Point mutations in cancer have been extensively studied but chromosomal gains and losses have been more challenging to interpret due to their unspecific nature. Here we examine high-resolution allelic imbalance (AI) landscape in 1699 colorectal cancers, 256 of which have been whole-genome sequenced (WGSed). The imbalances pinpoint 38 genes as plausible AI targets based on previous knowledge. Unbiased CRISPR-Cas9 knockout and activation screens identified in total 79 genes within AI peaks regulating cell growth. Genetic and functional data implicate loss of TP53 as a sufficient driver of AI. The WGS highlights an influence of copy number aberrations on the rate of detected somatic point mutations. Importantly, the data reveal several associations between AI target genes, suggesting a role for a network of lineage-determining transcription factors in colorectal tumorigenesis. Overall, the results unravel the contribution of AI in colorectal cancer and provide a plausible explanation why so few genes are commonly affected by point mutations in cancers.
In this study the authors examine the allelic imbalance (AI) landscape of colorectal cancer, reporting loss of TP53 as a driver of AI. They use CRISPR-Cas9 screens to identify 79 genes (within AI regions) regulating cell growth and identify a network of transcription factors that may contribute to colorectal tumorigenesis.
Databáze: OpenAIRE