Evidence map›Paper›PMID 31099386›Full record

ArticleBioinformatics (Oxford, England)2019

TPES: tumor purity estimation from SNVs.

Alessio Locallo, Davide Prandi, Tarcisio Fedrizzi, Francesca Demichelis

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
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  6. Tumor Purity in Preclinical Mouse Tumor Models.Cancer research communications · 2022
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  14. GeTallele: A Method for Analysis of DNA and RNA Allele Frequency Distributions.Frontiers in bioengineering and biotechnology · 2020
    Article
  15. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Alessio LocalloLaboratory of Computational and Functional Oncology, CIBIO Department, University of Trento, Trento, Italy.
Davide PrandiLaboratory of Computational and Functional Oncology, CIBIO Department, University of Trento, Trento, Italy.
Tarcisio FedrizziLaboratory of Computational and Functional Oncology, CIBIO Department, University of Trento, Trento, Italy.
Francesca DemichelisLaboratory of Computational and Functional Oncology, CIBIO Department, University of Trento, Trento, Italy.

Funding

Weill Cornell Medicine (WCM) SPORE in Prostate CancerP50CA211024 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI GUDAS, LORRAINE J · 2017 to 2021
$10.9M
NCI NIH HHS P50 CA211024
6 · The paper itself

Abstract

motivationTumor purity (TP) is the proportion of cancer cells in a tumor sample. TP impacts on the accurate assessment of molecular and genomics features as assayed with NGS approaches. State-of-the-art tools mainly rely on somatic copy-number alterations (SCNA) to quantify TP and therefore fail when a tumor genome is nearly euploid, i.e. 'non-aberrant' in terms of identifiable SCNAs.

resultsWe introduce a computational method, tumor purity estimation from single-nucleotide variants (SNVs), which derives TP from the allelic fraction distribution of SNVs. On more than 7800 whole-exome sequencing data of TCGA tumor samples, it showed high concordance with a range of TP tools (Spearman's correlation between 0.68 and 0.82; >9 SNVs) and rescued TP estimates of 1, 194 samples (15%) pan-cancer. AVAILABILITY AND IMPLEMENTATION: TPES is available as an R package on CRAN and at https://bitbucket.org/l0ka/tpes.git. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

NeoplasmsDNA Copy Number VariationsHigh-Throughput Nucleotide SequencingHumansNucleotidesSoftwareNucleotides

Identifiers

PMID31099386
PMCPMC6821153

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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.