Evidence map›Paper›PMID 30028779›Full record

ArticleMelanoma research2018

Female genitourinary tract melanoma: mutation analysis with clinicopathologic correlation: a single-institution experience.

Ozlen Saglam, Syeda M H Naqvi, Yonghong Zhang, Tania Mesa, Jamie K Teer, Sean Yoder, Jae Lee, Jane Messina

Abstract read
In one paragraph

Article in Melanoma research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

8 authors.

Ozlen SaglamDepartments of Anatomic Pathology.
Syeda M H NaqviBiostatistics and Bioinformatics.
Yonghong ZhangCancer Informatics Core.
Tania MesaMolecular Genomics Core, Moffitt Cancer Center, Tampa, Florida, USA.
Jamie K TeerBiostatistics and Bioinformatics.
Sean YoderMolecular Genomics Core, Moffitt Cancer Center, Tampa, Florida, USA.
Jae LeeBiostatistics and Bioinformatics.
Jane MessinaDepartments of Anatomic Pathology.

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
Tissue, Pathology and BioinformaticsP50CA168536 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI MULE, JAMES J. · 2013 to 2017
$8.5M
NCI NIH HHS P30 CA076292NCI NIH HHS P50 CA168536
6 · The paper itself

Abstract

Female genitourinary tract melanoma (FGTM) is a rare and often-fatal form of mucosal melanoma. We describe our institutional experience with 55 cases of FGTM, 16 of which were evaluated with next-generation sequencing targeting 151 cancer-associated genes. Tumors tended to be thicker than conventional melanoma at presentation (median: 3.2 mm), were frequently ulcerated (50%), and characterized by incomplete initial resections. Regional lymph nodes showed tumor involvement at presentation in 28% of cases. With a median follow-up of 23.6 months, the median recurrence free survival was 14.5 months and the median overall survival was 29.6 months. Genomic analysis revealed mutually exclusive mutations in TP53 and KIT in 25%, while 19% of cases showed BRAF mutation. NRAS mutation was found in 13% of cases. Mutation in ATRX, previously undescribed in mucosal melanoma, was seen in three (10%) of 16 patients. Only invasive melanoma cases were included in statistical analyses. Patients with three or more mutations had marginally worse overall survival rates than those with two or less (P=0.07). Further studies are required for potential adjuvant treatment modalities to improve survival outcomes of FGTM.

Indexed as

AgedAged, 80 and overFemaleHumansMelanomaMiddle AgedMutationSkin Neoplasms

Identifiers

PMID30028779
PMCPMC6205913

What OpenQuestion holds

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Registered trials

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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.