ArticlePloS one2013
The relative timing of mutations in a breast cancer genome.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- Article
- Tracing cancer evolution and heterogeneity using Hi-C.Nature communications · 2023Article
- The Efficacy of CB-103, a First-in-Class Transcriptional Notch Inhibitor, in Preclinical Models of Breast Cancer.Cancers · 2023Article
- Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms.Scientific reports · 2019Article
- The evolutionary landscape of colorectal tumorigenesis.Nature ecology & evolution · 2018Article
- Construction and analysis of gene-gene dynamics influence networks based on a Boolean model.BMC systems biology · 2017Article
- Loss of DIP2C in RKO cells stimulates changes in DNA methylation and epithelial-mesenchymal transition.BMC cancer · 2017Article
- IntNetLncSim: an integrative network analysis method to infer human lncRNA functional similarity.Oncotarget · 2016Article
- RVD2: an ultra-sensitive variant detection model for low-depth heterogeneous next-generation sequencing data.Bioinformatics (Oxford, England) · 2015Article
- Mobile element insertions are frequent in oesophageal adenocarcinomas and can mislead paired-end sequencing analysis.BMC genomics · 2015Article
- From genomes to societies: a holistic view of determinants of human health.Current opinion in biotechnology · 2014Review
- Integrated analysis of whole-genome paired-end and mate-pair sequencing data for identifying genomic structural variations in multiple myeloma.Cancer informatics · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Many tumors have highly rearranged genomes, but a major unknown is the relative importance and timing of genome rearrangements compared to sequence-level mutation. Chromosome instability might arise early, be a late event contributing little to cancer development, or happen as a single catastrophic event. Another unknown is which of the point mutations and rearrangements are selected. To address these questions we show, using the breast cancer cell line HCC1187 as a model, that we can reconstruct the likely history of a breast cancer genome. We assembled probably the most complete map to date of a cancer genome, by combining molecular cytogenetic analysis with sequence data. In particular, we assigned most sequence-level mutations to individual chromosomes by sequencing of flow sorted chromosomes. The parent of origin of each chromosome was assigned from SNP arrays. We were then able to classify most of the mutations as earlier or later according to whether they occurred before or after a landmark event in the evolution of the genome, endoreduplication (duplication of its entire genome). Genome rearrangements and sequence-level mutations were fairly evenly divided earlier and later, suggesting that genetic instability was relatively constant throughout the life of this tumor, and chromosome instability was not a late event. Mutations that caused chromosome instability would be in the earlier set. Strikingly, the great majority of inactivating mutations and in-frame gene fusions happened earlier. The non-random timing of some of the mutations may be evidence that they were selected.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.