Evidence map›Paper›PMID 18442402›Full record

ArticleBMC medical genomics2008

The gene expression profiles of primary and metastatic melanoma yields a transition point of tumor progression and metastasis.

Adam I Riker, Steven A Enkemann, Oystein Fodstad, Suhu Liu, Suping Ren, Christopher Morris, Yaguang Xi, Paul Howell, Brandon Metge, Rajeev S Samant and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 313 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
313citing papers in PubMed, 4 pooled it
13.2field-weighted citation impact, top 1% 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

313 citing papers in PubMed, 4 syntheses or guidelines pooled it, 528 citations in OpenAlex.

  1. Pooled it
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  16. Desmocollin-3 and Bladder Cancer.Diseases (Basel, Switzerland) · 2025
    Article
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253 more citing papers are in PubMed but not listed here.

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

16 authors at 5 institutions in 3 countries.

Adam I RikerMitchell Cancer Institute-University of South Alabama, 315 North University Boulevard, MSB 2015, Mobile, Alabama 36688, USA. ariker@usouthal.edu
Steven A Enkemann
Oystein Fodstad
Suhu Liu
Suping Ren
Christopher Morris
Yaguang Xi
Paul Howell
Brandon Metge
Rajeev S Samant
Lalita A Shevde
Wenbin Li
Steven Eschrich
Adil Daud
Jingfang Ju
Jaime Matta
USA Mitchell Cancer Institute · USUniversity of South Alabama · USMoffitt Cancer Center · USCapital Medical University · CNPonce Health Sciences University · PR

Funding

VIRAL SEQUENCES IN PEDIATRIC HIV INFECTION IN PRG12RR003050 · NCRR · PONCE SCHOOL OF MEDICINE · PI ARMSTRONG, RAUL A · 1985 to 2011
$28.1M
NCRR NIH HHS G12 RR003050
6 · The paper itself

Abstract

backgroundThe process of malignant transformation, progression and metastasis of melanoma is poorly understood. Gene expression profiling of human cancer has allowed for a unique insight into the genes that are involved in these processes. Thus, we have attempted to utilize this approach through the analysis of a series of primary, non-metastatic cutaneous tumors and metastatic melanoma samples.

methodsWe have utilized gene microarray analysis and a variety of molecular techniques to compare 40 metastatic melanoma (MM) samples, composed of 22 bulky, macroscopic (replaced) lymph node metastases, 16 subcutaneous and 2 distant metastases (adrenal and brain), to 42 primary cutaneous cancers, comprised of 16 melanoma, 11 squamous cell, 15 basal cell skin cancers. A Human Genome U133 Plus 2.0 array from Affymetrix, Inc. was utilized for each sample. A variety of statistical software, including the Affymetrix MAS 5.0 analysis software, was utilized to compare primary cancers to metastatic melanomas. Separate analyses were performed to directly compare only primary melanoma to metastatic melanoma samples. The expression levels of putative oncogenes and tumor suppressor genes were analyzed by semi- and real-time quantitative RT-PCR (qPCR) and Western blot analysis was performed on select genes.

resultsWe find that primary basal cell carcinomas, squamous cell carcinomas and thin melanomas express dramatically higher levels of many genes, including SPRR1A/B, KRT16/17, CD24, LOR, GATA3, MUC15, and TMPRSS4, than metastatic melanoma. In contrast, the metastatic melanomas express higher levels of genes such as MAGE, GPR19, BCL2A1, MMP14, SOX5, BUB1, RGS20, and more. The transition from non-metastatic expression levels to metastatic expression levels occurs as melanoma tumors thicken. We further evaluated primary melanomas of varying Breslow's tumor thickness to determine that the transition in expression occurs at different thicknesses for different genes suggesting that the "transition zone" represents a critical time for the emergence of the metastatic phenotype. Several putative tumor oncogenes (SPP-1, MITF, CITED-1, GDF-15, c-Met, HOX loci) and suppressor genes (PITX-1, CST-6, PDGFRL, DSC-3, POU2F3, CLCA2, ST7L), were identified and validated by quantitative PCR as changing expression during this transition period. These are strong candidates for genes involved in the progression or suppression of the metastatic phenotype.

conclusionThe gene expression profiling of primary, non-metastatic cutaneous tumors and metastatic melanoma has resulted in the identification of several genes that may be centrally involved in the progression and metastatic potential of melanoma. This has very important implications as we continue to develop an improved understanding of the metastatic process, allowing us to identify specific genes for prognostic markers and possibly for targeted therapeutic approaches.

Identifiers

PMID18442402
PMCPMC2408576
OpenAlexW2057113047

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.