Evidence map›Paper›PMID 28197532›Full record

ArticleMolecular & cellular oncology2017

Using global gene expression to discriminate thin melanomas with poor outcomes.

Zachary Hothem, Andrew Bayci, Bryan J Thibodeau, Billie E Ketelsen, Laura E Fortier, Alison F Uzieblo, Diane Cosner, Kristin Totoraitis, Richard D Keidan, George D Wilson

Open access · bronzeAbstract read
In one paragraph

Article in Molecular & cellular oncology, 2017. 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
0.5field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  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

10 authors at 2 institutions in 1 country.

Zachary HothemDepartment of Surgery, William Beaumont Hospital , Royal Oak, MI, USA.
Andrew BayciDepartment of Surgery, William Beaumont Hospital , Royal Oak, MI, USA.
Bryan J ThibodeauBeaumont BioBank, William Beaumont Hospital , Royal Oak, MI, USA.
Billie E KetelsenBeaumont BioBank, William Beaumont Hospital , Royal Oak, MI, USA.
Laura E FortierBeaumont BioBank, William Beaumont Hospital , Royal Oak, MI, USA.
Alison F UziebloDepartment of Anatomic Pathology, William Beaumont Hospital , Royal Oak, MI, USA.
Diane CosnerDepartment of Anatomic Pathology, William Beaumont Hospital , Royal Oak, MI, USA.
Kristin TotoraitisOakland University William Beaumont School of Medicine , Rochester, MI, USA.
Richard D KeidanDepartment of Surgery, William Beaumont Hospital , Royal Oak, MI, USA.
George D WilsonBeaumont BioBank, William Beaumont Hospital , Royal Oak, MI, USA.
Beaumont Hospital, Royal Oak · USOakland University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most melanomas present as thin lesions (≤1.0 mm) with a good prognosis; however, a small percentage of patients with thin lesions experience recurrence or metastasis. The aim of our study was to identify a distinct pattern of gene expression within thin melanomas known to have eventually metastasized to regional lymph nodes or distant sites compared with those that followed the typical course with good response to wide local excision alone. Patients who were disease-free for a minimum of 10 y served as controls (n = 10) to the experimental group who developed metastasis (n = 9). Laser capture microdissection was used to specifically isolate cancer cells from formalin-fixed paraffin-embedded tissue with subsequent gene expression analysis on Affymetrix Human Transcriptome Array 2.0 Arrays. Although gene expression differences were observed between the patients with thin melanoma with poor clinical outcome and those with good clinical outcome, neither the number of genes nor the magnitude of the fold difference was very substantial or significant. Cluster analysis with this subset of genes could definitively separate a subset of the poor responders from the good responders, but there remained a mixed group of tumors that could not be predicted from gene expression alone. Pathway analysis identified cellular processes that were regulated based on the response, including categories commonly associated with melanoma progression. Ultimately, we concluded that there were very few differences between these groups. Future research will be required and investigation of the mutational landscape may be another strategy to uncover genomic changes that drive recurrence and metastasis in thin melanoma.

Indexed as

Gene expressionmelanomamicroarraysurgical responsethin melanoma

Identifiers

PMID28197532
PMCPMC5286964
OpenAlexW2552703830

What OpenQuestion holds

Textmetadata
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.