Evidence map›Paper›PMID 31416464›Full record

ArticleGenome biology2019

An enhanced genetic model of colorectal cancer progression history.

Lixing Yang, Su Wang, Jake June-Koo Lee, Semin Lee, Eunjung Lee, Eve Shinbrot, David A Wheeler, Raju Kucherlapati, Peter J Park

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 49 citations in OpenAlex.

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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

9 authors at 5 institutions in 2 countries.

Lixing YangBen May Department for Cancer Research and Department of Human Genetics, The University of Chicago, Chicago, IL, USA. lixingyang@uchicago.edu.
Su WangDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Jake June-Koo LeeDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Semin LeeDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Eunjung LeeDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Eve ShinbrotDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
David A WheelerDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Raju KucherlapatiDivision of Genetics, Brigham and Women's Hospital, Boston, MA, USA.
Peter J ParkDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. peter_park@hms.harvard.edu.ORCID 0000-0001-9378-960X
Harvard University · USBaylor College of Medicine · USBrigham and Women's Hospital · USBoston Children's Hospital · USUniversity of Chicago · US

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI MARK W. LINGEN · 1985 to 2026
$122.1M
Structural variations and their impact in human cancerK22CA193848 · NCI · UNIVERSITY OF CHICAGO · PI YANG, LIXING · 2017 to 2019
$508k
National Cancer Institute (US) P30CA14599NCI NIH HHS K22 CA193848NCI NIH HHS K22CA193848
6 · The paper itself

Abstract

backgroundThe classical genetic model of colorectal cancer presents APC mutations as the earliest genomic alterations, followed by KRAS and TP53 mutations. However, the timing and relative order of clonal expansion and other types of genomic alterations, such as genomic rearrangements, are still unclear.

resultsHere, we perform comprehensive bioinformatic analysis to dissect the relative timing of somatic genetic alterations in 63 colorectal cancers with whole-genome sequencing data. Utilizing allele fractions of somatic single nucleotide variants as molecular clocks while accounting for the presence of copy number changes and structural alterations, we identify key events in the evolution of colorectal tumors. We find that driver point mutations, gene fusions, and arm-level copy losses typically arise early in tumorigenesis; different mechanisms act on distinct genomic regions to drive DNA copy changes; and chromothripsis-clustered rearrangements previously thought to occur as a single catastrophic event-is frequent and may occur multiple times independently in the same tumor through different mechanisms. Furthermore, our computational approach reveals that, in contrast to recent studies, selection is often present on subclones and that multiple evolutionary models can operate in a single tumor at different stages.

conclusionCombining these results, we present a refined tumor progression model which significantly expands our understanding of the tumorigenic process of human colorectal cancer.

Indexed as

Disease ProgressionModels, GeneticChromothripsisCohort StudiesColorectal NeoplasmsDNA Copy Number VariationsGene DosageHumansMutationAneuploidyKataegisTumor evolutionTumor heterogeneity

Identifiers

PMID31416464
PMCPMC6694562
OpenAlexW2967398295

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.