Evidence map›Paper›PMID 32643855›Full record

ArticleHuman mutation2020

Human genes differ by their UV sensitivity estimated through analysis of UV-induced silent mutations in melanoma.

Ivan P Gorlov, Christopher I Amos, Spiridon Tsavachidis, Colin Begg, Eva Hernando, Chao Cheng, Ronglai Shen, Irene Orlow, Li Luo, Marc S Ernstoff and 4 more

Open access · greenAbstract read
In one paragraph

Article in Human mutation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 93% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

14 authors at 6 institutions in 1 country.

Ivan P GorlovDepartment of Medicine, Baylor College of Medicine, Houston, Texas.ORCID 0000-0001-8415-5656
Christopher I AmosDepartment of Medicine, Baylor College of Medicine, Houston, Texas.
Spiridon TsavachidisDepartment of Medicine, Baylor College of Medicine, Houston, Texas.
Colin BeggDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Eva HernandoDepartment of Pathology, New York University School of Medicine, New York, New York.
Chao ChengDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Ronglai ShenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Irene OrlowDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Li LuoDepartment of Internal Medicine and Dermatology, University of New Mexico, Albuquerque, New Mexico.
Marc S ErnstoffDepartment of Medical Oncology, Roswell Park Comprehensive Cancer Center, Elm, and Carlton, Buffalo, New York.
Joel ParkerDepartment of Genetics, Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Nancy E ThomasDepartment of Dermatology, University of North Carolina, Chapel Hill, North Carolina.
Olga Y GorlovaDepartment of Medicine, Baylor College of Medicine, Houston, Texas.
Marianne BerwickDepartment of Internal Medicine, University of New Mexico, Albuquerque, New Mexico.
Baylor College of Medicine · USMemorial Sloan Kettering Cancer Center · USUniversity of New Mexico · USUniversity of North Carolina at Chapel Hill · USNew York University · USRoswell Park Comprehensive Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Transdisciplinary Research in Cancer of the Lung (TRICL)U19CA148127 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I., LE MARCHAND, LOIC · 2010 to 2014
$10.9M
Sex Differences in Methylome Alterations and Mutational Burden in Early Stage MelanomaP01CA206980 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BERWICK, MARIANNE, THOMAS, NANCY E. · 2017 to 2022
$10.1M
Identification of Lethal Melanomas at the Time of DiagnosisR01CA233524 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ANTON-CULVER, HODA A, BEGG, COLIN B · 2020 to 2024
$4.5M
NCI NIH HHS P01 CA206980NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA233524NCI NIH HHS U19 CA148127
6 · The paper itself

Abstract

We hypothesized that human genes differ by their sensitivity to ultraviolet (UV) exposure. We used somatic mutations detected by genome-wide screens in melanoma and reported in the Catalog Of Somatic Mutations In Cancer. As a measure of UV sensitivity, we used the number of silent mutations generated by C>T transitions in pyrimidine dimers of a given transcript divided by the number of potential sites for this type of mutations in the transcript. We found that human genes varied by UV sensitivity by two orders of magnitude. We noted that the melanoma-associated tumor suppressor gene CDKN2A was among the top five most UV-sensitive genes in the human genome. Melanoma driver genes have a higher UV-sensitivity compared with other genes in the human genome. The difference was more prominent for tumor suppressors compared with oncogene. The results of this study suggest that differential sensitivity of human transcripts to UV light may explain melanoma specificity of some driver genes. Practical significance of the study relates to the fact that differences in UV sensitivity among human genes need to be taken into consideration whereas predicting melanoma-associated genes by the number of somatic mutations detected in a given gene.

Indexed as

MelanomaSkin NeoplasmsGenome, HumanHumansMutationOncogenesSilent MutationUltraviolet RaysCDKN2ACOSMICmelanomamutation rateUV exposure

Identifiers

PMID32643855
PMCPMC7794094
OpenAlexW3041873058

What OpenQuestion holds

Textmetadata
LicenceTDM
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.