Evidence map›Paper›PMID 35712493›Full record

ArticleFrontiers in oncology2022

The Genetics of Early-Stage Melanoma in a Veteran Population.

Kevin Cheung, Aaron D Bossler, Sarah L Mott, Megan Zeisler, Julie McKillip, Yousef Zakharia, Brian L Swick, Jennifer G Powers

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Kevin CheungDepartment of Dermatology, University of Iowa, Iowa City, IA, United States.
Aaron D BosslerDepartment of Pathology, H. Lee Moffitt Cancer Center, Tampa, FL, United States.
Sarah L MottHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, United States.
Megan ZeislerHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, United States.
Julie McKillipDepartment of Dermatology, University of Iowa, Iowa City, IA, United States.
Yousef ZakhariaHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, United States.
Brian L SwickDepartment of Dermatology, University of Iowa, Iowa City, IA, United States.
Jennifer G PowersDepartment of Dermatology, University of Iowa, Iowa City, IA, United States.
University of Iowa · USMoffitt Cancer Center · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
6 · The paper itself

Abstract

To improve understanding of the genetic signature of early-stage melanomas in Veterans, hotspot mutation profiling using next-generation sequencing (NGS) was performed on melanoma tissue samples from patients at the Iowa City Veterans Affairs Medical Center (VAMC). Genetic analysis identified BRAF (36.3%), TP53 (25.9%), NRAS (19.3%), CDKN2A (11.1%), KIT (8.1%), and BAP1 (7.4%) mutations with the highest prevalence. Although common variants in BRAF were detected at lower rates than what is reported for the general population, 55.6% of cases showed activating mutations in the RAS/RAF pathways. Variants in TP53 and KIT were detected at higher rates than in the general population. Veterans with prior history of melanoma were at significantly higher odds of having TP53 mutation (OR = 2.67, p = 0.04). This suggests that TP53 may be a marker for recurrent melanoma and possibly alternative exposures in the military population. This study provides new information regarding the genetics of melanoma in a Veteran population and early-stage melanomas, highlighting risk factors unique to this population and contributing to the conversation about preventing melanoma deaths in US Military personnel.

Indexed as

BRAFgenetic predispositionmelanomamilitary personnelproto-oncogenerisk factorsTP53veterans

Identifiers

PMID35712493
PMCPMC9196270
OpenAlexW4281631177

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.