Evidence map›Paper›PMID 33299548›Full record

ArticleF1000Research2020

Zhi Yang, Priyatama Pandey, Paul Marjoram, Kimberly D Siegmund

Abstract read
In one paragraph

Article in F1000Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Mutational signatures in colon cancer.BMC research notes · 2019
    Article
  2. Article
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

4 authors.

Zhi YangDepartment of Preventive Medicine, Keck School of Medicine of the University of Southern California, 2001 N.Soto Street, Los Angeles, CA, 91003, USA.ORCID 0000-0002-6577-8943
Priyatama PandeyDepartment of Preventive Medicine, Keck School of Medicine of the University of Southern California, 2001 N.Soto Street, Los Angeles, CA, 91003, USA.
Paul MarjoramDepartment of Preventive Medicine, Keck School of Medicine of the University of Southern California, 2001 N.Soto Street, Los Angeles, CA, 91003, USA.
Kimberly D SiegmundDepartment of Preventive Medicine, Keck School of Medicine of the University of Southern California, 2001 N.Soto Street, Los Angeles, CA, 91003, USA.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Statistical Methods for Integrative Genomics in CancerP01CA196569 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Paul Marjoram · 2016 to 2026
$25.5M
Conservation and functional-characterization of tumor methylation sitesR21CA226106 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MARJORAM, PAUL · 2019 to 2020
$461k
NCI NIH HHS P01 CA196569NCI NIH HHS P30 CA014089NCI NIH HHS R21 CA226106NIEHS NIH HHS P30 ES007048
6 · The paper itself

Abstract

There are two frameworks for characterizing mutational signatures which are commonly used to describe the nucleotide patterns that arise from mutational processes. Estimated mutational signatures from fitting these two methods in human cancer can be found online, in the Catalogue Of Somatic Mutations In Cancer (COSMIC) website or a GitHub repository. The two frameworks make differing assumptions regarding independence of base pairs and for that reason may produce different results. Consequently, there is a need to compare and contrast the results of the two methods, but no such tool currently exists. In this paper, we provide a simple and intuitive interface that allows comparisons of pairs of mutational signatures to be easily performed. Cosine similarity measures the extent of signature similarity. To compare mutational signatures of different formats, one signature type (COSMIC or

Indexed as

MutationSoftwareDNA Mutational AnalysisHumansInternetNeoplasmsCOSMICMutational SignaturespmsignatureRShinyWeb interface

Identifiers

PMID33299548
PMCPMC7702159

What OpenQuestion holds

Textmetadata
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.