Evidence map›Paper›PMID 30679435›Full record

ArticleNature communications2019

Replication timing and epigenome remodelling are associated with the nature of chromosomal rearrangements in cancer.

Qian Du, Saul A Bert, Nicola J Armstrong, C Elizabeth Caldon, Jenny Z Song, Shalima S Nair, Cathryn M Gould, Phuc-Loi Luu, Timothy Peters, Amanda Khoury and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
5.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 108 citations in OpenAlex.

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  9. Mitigating Cell Cycle Effects in Multi-Omics Data: Solutions and Analytical Frameworks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Qian DuEpigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Saul A BertEpigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Nicola J ArmstrongMathematics and Statistics, School of Engineering and Information Technology, Murdoch University, Perth, 6150, WA, Australia.
C Elizabeth CaldonSt. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, 2010, NSW, Australia.
Jenny Z SongEpigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Shalima S NairEpigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Cathryn M GouldEpigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Phuc-Loi LuuEpigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Timothy PetersEpigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.ORCID http://orcid.org/0000-0003-3690-5293
Amanda KhouryEpigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Wenjia QuEpigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Elena ZotenkoEpigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Clare StirzakerEpigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Susan J ClarkEpigenetics Laboratory, Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, 2010, NSW, Australia. s.clark@garvan.org.au.ORCID http://orcid.org/0000-0001-5925-5030
Garvan Institute of Medical Research · AUMurdoch University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA replication timing is known to facilitate the establishment of the epigenome, however, the intimate connection between replication timing and changes to the genome and epigenome in cancer remain largely uncharacterised. Here, we perform Repli-Seq and integrated epigenome analyses and demonstrate that genomic regions that undergo long-range epigenetic deregulation in prostate cancer also show concordant differences in replication timing. A subset of altered replication timing domains are conserved across cancers from different tissue origins. Notably, late-replicating regions in cancer cells display a loss of DNA methylation, and a switch in heterochromatin features from H3K9me3-marked constitutive to H3K27me3-marked facultative heterochromatin. Finally, analysis of 214 prostate and 35 breast cancer genomes reveal that late-replicating regions are prone to cis and early-replication to trans chromosomal rearrangements. Together, our data suggests that the nature of chromosomal rearrangement in cancer is related to the spatial and temporal positioning and altered epigenetic states of early-replicating compared to late-replicating loci.

Indexed as

Chromosome AberrationsBreast NeoplasmsCell Line, TumorDeoxyribonuclease IDNA MethylationDNA ReplicationDNA Replication TimingEpigenesis, GeneticEpigenomicsFemaleGene Expression Regulation, NeoplasticGenomeGenomicsHeterochromatinHumansMaleDeoxyribonuclease IDNASE1 protein, humanHeterochromatin

Identifiers

PMID30679435
PMCPMC6345877
OpenAlexW2912432706

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.