Evidence map›Paper›PMID 22032772›Full record

ArticleBMC medical genomics2011

Gene network analyses point to the importance of human tissue kallikreins in melanoma progression.

Waleska K Martins, Gustavo H Esteves, Otávio M Almeida, Gisele G Rezze, Gilles Landman, Sarah M Marques, Alex F Carvalho, Luiz F L Reis, João P Duprat, Beatriz S Stolf

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

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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 3 institutions in 1 country.

Waleska K MartinsHospital A,C, Camargo, São Paulo, Brazil. wkerllenmartins@gmail.com
Gustavo H Esteves
Otávio M Almeida
Gisele G Rezze
Gilles Landman
Sarah M Marques
Alex F Carvalho
Luiz F L Reis
João P Duprat
Beatriz S Stolf
AC Camargo Hospital · BRUniversidade de São Paulo · BRUniversidade Estadual da Paraíba · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA wide variety of high-throughput microarray platforms have been used to identify molecular targets associated with biological and clinical tumor phenotypes by comparing samples representing distinct pathological states.

methodsThe gene expression profiles of human cutaneous melanomas were determined by cDNA microarray analysis. Next, a robust analysis to determine functional classifications and make predictions based on data-oriented hypotheses was performed. Relevant networks that may be implicated in melanoma progression were also considered.

resultsIn this study we aimed to analyze coordinated gene expression changes to find molecular pathways involved in melanoma progression. To achieve this goal, ontologically-linked modules with coordinated expression changes in melanoma samples were identified. With this approach, we detected several gene networks related to different modules that were induced or repressed during melanoma progression. Among them we observed high coordinated expression levels of genes involved in a) cell communication (KRT4, VWF and COMP); b) epidermal development (KLK7, LAMA3 and EVPL); and c) functionally related to kallikreins (EVPL, KLK6, KLK7, KLK8, SERPINB13, SERPING1 and SLPI). Our data also indicated that hKLK7 protein expression was significantly associated with good prognosis and survival.

conclusionsOur findings, derived from a different type of analysis of microarray data, highlight the importance of analyzing coordinated gene expression to find molecular pathways involved in melanoma progression.

Indexed as

Gene Regulatory NetworksCell CommunicationDisease ProgressionEpidermisGene Expression ProfilingHumansKallikreinsMelanomaOligonucleotide Array Sequence AnalysisPrognosisRNA, MessengerTissue KallikreinsKallikreinsKLK6 protein, humanKLK7 protein, humanKlk7 protein, mouseRNA, MessengerTissue Kallikreins

Identifiers

PMID22032772
PMCPMC3212933
OpenAlexW2169571994

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.