Evidence map›Paper›PMID 26638776›Full record

ArticleNature communications2015

Whole-genome sequencing reveals activation-induced cytidine deaminase signatures during indolent chronic lymphocytic leukaemia evolution.

S Kasar, J Kim, R Improgo, G Tiao, P Polak, N Haradhvala, M S Lawrence, A Kiezun, S M Fernandes, S Bahl and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed, 1 pooled it
9.5field-weighted citation impact, top 1% 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

181 citing papers in PubMed, 1 synthesis or guideline pooled it, 273 citations in OpenAlex.

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121 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

16 authors at 4 institutions in 1 country.

S KasarDepartment of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA.
J KimCancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.
R ImprogoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA.
G TiaoCancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.
P PolakCancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.
N HaradhvalaCancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.
M S LawrenceCancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.
A KiezunCancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.
S M FernandesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA.
S BahlCancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.
C SougnezCancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.
S GabrielCancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.
E S LanderCancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.
H T KimDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA.
G GetzCancer Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.
J R BrownDepartment of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA.
Broad Institute · USHarvard University · USDana-Farber Brigham Cancer Center · USDana-Farber Cancer Institute · US

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
NHGRI NIH HHS U54 HG003067NHGRI NIH HHS U54HG003067
6 · The paper itself

Abstract

Patients with chromosome 13q deletion or normal cytogenetics represent the majority of chronic lymphocytic leukaemia (CLL) cases, yet have relatively few driver mutations. To better understand their genomic landscape, here we perform whole-genome sequencing on a cohort of patients enriched with these cytogenetic characteristics. Mutations in known CLL drivers are seen in only 33% of this cohort, and associated with normal cytogenetics and unmutated IGHV. The most commonly mutated gene in our cohort, IGLL5, shows a mutational pattern suggestive of activation-induced cytidine deaminase (AID) activity. Unsupervised analysis of mutational signatures demonstrates the activities of canonical AID (c-AID), leading to clustered mutations near active transcriptional start sites; non-canonical AID (nc-AID), leading to genome-wide non-clustered mutations, and an ageing signature responsible for most mutations. Using mutation clonality to infer time of onset, we find that while ageing and c-AID activities are ongoing, nc-AID-associated mutations likely occur earlier in tumour evolution.

Indexed as

AgingAICDA (Activation-Induced Cytidine Deaminase)Biological EvolutionCohort StudiesCytidine DeaminaseGenome, HumanGenome-Wide Association StudyHumansLeukemia, Lymphocytic, Chronic, B-CellMutationAICDA (Activation-Induced Cytidine Deaminase)Cytidine Deaminase

Identifiers

PMID26638776
PMCPMC4686820
OpenAlexW2294814189

What OpenQuestion holds

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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.