Evidence map›Paper›PMID 31685958›Full record

ArticleNature biotechnology2020

Large-scale analysis of acquired chromosomal alterations in non-tumor samples from patients with cancer.

Y A Jakubek, K Chang, S Sivakumar, Y Yu, M R Giordano, J Fowler, C D Huff, H Kadara, E Vilar, P Scheet

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

37 citing papers in PubMed, 44 citations in OpenAlex.

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  17. The Role of Transglutaminase 2 in Cancer: An Update.International journal of molecular sciences · 2024
    Review
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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

10 authors at 1 institution in 1 country.

Y A JakubekDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. yaj2@cornell.edu.ORCID http://orcid.org/0000-0003-1427-1015
K ChangDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0001-5295-9676
S SivakumarDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Y YuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
M R GiordanoDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
J FowlerDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0002-6173-9031
C D HuffDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
H KadaraDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
E VilarDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
P ScheetDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
R25 SUPPLEMENT IN GENETIC EPIDEMIOLOGY EDUCATIONR25CA057730 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHANG, SHINE · 1992 to 2016
$18.6M
Population genetics for large-scale sequencing studies of diverse populationsR01HG005855 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Noah Rosenberg, Paul A Scheet · 2010 to 2026
$5.8M
Discovery of Risk Loci and Genomics of Pancreatic Cancer through Exome SequencingR01CA181244 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HUFF, CHAD DANIEL, SCHEET, PAUL A · 2014 to 2019
$5.4M
Statistical Methods for Population Genomics and "Next-gen" Sequencing DataR01HG005859 · NHGRI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SCHEET, PAUL A · 2011 to 2015
$1.9M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA181244NCI NIH HHS R25 CA057730NHGRI NIH HHS R01 HG005855NHGRI NIH HHS R01 HG005859
6 · The paper itself

Abstract

Mosaicism, the presence of subpopulations of cells bearing somatic mutations, is associated with disease and aging and has been detected in diverse tissues, including apparently normal cells adjacent to tumors. To analyze mosaicism on a large scale, we surveyed haplotype-specific somatic copy number alterations (sCNAs) in 1,708 normal-appearing adjacent-to-tumor (NAT) tissue samples from 27 cancer sites and in 7,149 blood samples from The Cancer Genome Atlas. We find substantial variation across tissues in the rate, burden and types of sCNAs, including those spanning entire chromosome arms. We document matching sCNAs in the NAT tissue and the adjacent tumor, suggesting a shared clonal origin, as well as instances in which both NAT tissue and tumor tissue harbor a gain of the same oncogene arising in parallel from distinct parental haplotypes. These results shed light on pan-tissue mutations characteristic of field cancerization, the presence of oncogenic processes adjacent to cancer cells.

Indexed as

Chromosome AberrationsAllelic ImbalanceClone CellsDNA Copy Number VariationsGenome, HumanHumansMosaicismNeoplasmsPolymorphism, Single Nucleotide

Identifiers

PMID31685958
PMCPMC8082517
OpenAlexW2986810323

What OpenQuestion holds

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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.