Evidence map›Paper›PMID 32887685›Full record

ArticleGenome research2020

Reconstruction of clone- and haplotype-specific cancer genome karyotypes from bulk tumor samples.

Sergey Aganezov, Benjamin J Raphael

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Genome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed, 19 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

2 authors at 1 institution in 1 country.

Sergey AganezovDepartment of Computer Science, Princeton University, Princeton, New Jersey 08540, USA.
Benjamin J RaphaelDepartment of Computer Science, Princeton University, Princeton, New Jersey 08540, USA.ORCID 0000-0003-1274-048X
Princeton University · US

Funding

Pathway and Network Integration of Cancer Genomics and Clinical DataU24CA211000 · NCI · PRINCETON UNIVERSITY · PI RAPHAEL, BENJAMIN, YEH, JEN JEN · 2016 to 2020
$1.7M
Computational Characterization of Genetic HeterogeneityR01HG007069 · NHGRI · PRINCETON UNIVERSITY · PI RAPHAEL, BENJAMIN · 2013 to 2015
$1.1M
NCI NIH HHS U24 CA211000NHGRI NIH HHS R01 HG007069
6 · The paper itself

Abstract

Many cancer genomes are extensively rearranged with aberrant chromosomal karyotypes. Deriving these karyotypes from high-throughput DNA sequencing of bulk tumor samples is complicated because most tumors are a heterogeneous mixture of normal cells and subpopulations of cancer cells, or clones, that harbor distinct somatic mutations. We introduce a new algorithm, Reconstructing Cancer Karyotypes (RCK), to reconstruct haplotype-specific karyotypes of one or more rearranged cancer genomes from DNA sequencing data from a bulk tumor sample. RCK leverages evolutionary constraints on the somatic mutational process in cancer to reduce ambiguity in the deconvolution of admixed sequencing data into multiple haplotype-specific cancer karyotypes. RCK models mixtures containing an arbitrary number of derived genomes and allows the incorporation of information both from short-read and long-read DNA sequencing technologies. We compare RCK to existing approaches on 17 primary and metastatic prostate cancer samples. We find that RCK infers cancer karyotypes that better explain the DNA sequencing data and conform to a reasonable evolutionary model. RCK's reconstructions of clone- and haplotype-specific karyotypes will aid further studies of the role of intra-tumor heterogeneity in cancer development and response to treatment. RCK is freely available as open source software.

Indexed as

AlgorithmsHaplotypesChromosome AberrationsClone CellsComputer SimulationDiploidyGene DosageGene RearrangementGenome, HumanHumansKaryotypingMaleNeoplasmsProstatic NeoplasmsTelomere

Identifiers

PMID32887685
PMCPMC7545144
OpenAlexW3083766629

What OpenQuestion holds

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LicenceCC BY-NC
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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.