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Pervasive chromosomal instability and karyotype order in tumour evolution.

Thomas B.K. Watkins, +76 more
- 02 Sep 2020 - 
- Vol. 587, Iss: 7832, pp 126-132
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TLDR
Multi-sample phasing and SCNA analysis of 1,421 samples from 394 tumours across 22 tumour types are used to show that continuous chromosomal instability results in pervasive SCNA heterogeneity.
Abstract
Chromosomal instability in cancer consists of dynamic changes to the number and structure of chromosomes1,2. The resulting diversity in somatic copy number alterations (SCNAs) may provide the variation necessary for tumour evolution1,3,4. Here we use multi-sample phasing and SCNA analysis of 1,421 samples from 394 tumours across 22 tumour types to show that continuous chromosomal instability results in pervasive SCNA heterogeneity. Parallel evolutionary events, which cause disruption in the same genes (such as BCL9, MCL1, ARNT (also known as HIF1B), TERT and MYC) within separate subclones, were present in 37% of tumours. Most recurrent losses probably occurred before whole-genome doubling, that was found as a clonal event in 49% of tumours. However, loss of heterozygosity at the human leukocyte antigen (HLA) locus and loss of chromosome 8p to a single haploid copy recurred at substantial subclonal frequencies, even in tumours with whole-genome doubling, indicating ongoing karyotype remodelling. Focal amplifications that affected chromosomes 1q21 (which encompasses BCL9, MCL1 and ARNT), 5p15.33 (TERT), 11q13.3 (CCND1), 19q12 (CCNE1) and 8q24.1 (MYC) were frequently subclonal yet appeared to be clonal within single samples. Analysis of an independent series of 1,024 metastatic samples revealed that 13 focal SCNAs were enriched in metastatic samples, including gains in chromosome 8q24.1 (encompassing MYC) in clear cell renal cell carcinoma and chromosome 11q13.3 (encompassing CCND1) in HER2+ breast cancer. Chromosomal instability may enable the continuous selection of SCNAs, which are established as ordered events that often occur in parallel, throughout tumour evolution.

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Intratumoral heterogeneity in cancer progression and response to immunotherapy.

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Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes

Stefan C. Dentro, +87 more
- 15 Apr 2021 - 
TL;DR: In this article, the authors extensively characterize intra-tumor heterogeneity (ITH) across whole-genome sequences of 2,658 cancer samples spanning 38 cancer types and identify cancer type-specific subclonal patterns of driver gene mutations, fusions, structural variants, and copy number alterations.
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Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients

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TL;DR: The MSK-MET cohort as discussed by the authors , a pan-cancer cohort of over 25,000 patients with metastatic diseases, was used to identify associations between genomic alterations and patterns of metastatic dissemination.
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Genetic and non-genetic clonal diversity in cancer evolution.

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References
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TL;DR: The Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure outperforms other aligners by a factor of >50 in mapping speed.
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TL;DR: It is shown that accurate gene-level abundance estimates are best obtained with large numbers of short single-end reads, and estimates of the relative frequencies of isoforms within single genes may be improved through the use of paired- end reads, depending on the number of possible splice forms for each gene.
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A flexible and accurate genotype imputation method for the next generation of genome-wide association studies.

TL;DR: It is found that imputation accuracy can be greatly enhanced by expanding the reference panel to contain thousands of chromosomes and that IMPUTE v2 outperforms other methods in this setting at both rare and common SNPs, with overall error rates that are 15%–20% lower than those of the closest competing method.
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Trending Questions (1)
What are the factors contribute to tumor heterogencity?

The paper discusses that continuous chromosomal instability leads to pervasive somatic copy number alterations (SCNAs), which contribute to tumor heterogeneity.