Evidence map›Paper›PMID 22253648›Full record

ArticleThe open biochemistry journal2011

New Perspectives of "omics" Applications in Melanoma Research.

Carmen Rodríguez-Cerdeira, Alberto Molares-Vila

Open access · greenAbstract read
In one paragraph

Article in The open biochemistry journal, 2011. 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
0.4field-weighted citation impact, top 36% 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
  2. Article
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

2 authors at 2 institutions in 1 country.

Carmen Rodríguez-CerdeiraDepartment of Dermatology, CHUVI & University of Vigo, Vigo, Spain.
Alberto Molares-Vila
Universidade de Vigo · ESUniversity Hospital Complex Of Vigo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOncoproteomics is the study of proteins and their interactions in a cancer cell by proteomic technologies and has the potential to revolutionize clinical practice, including cancer diagnosis. Recent technological advances in the analysis of the human genome have opened the door to improving our primitive understanding of the gene expression patterns in cancer. The examination of the phenotypic and (epi) genetic changes in cutaneous melanoma has identified several genes deemed central to the development and progression of melanoma.

methodsA review of the literature was performed to determine the role of epigenetic modifications in human melanoma. The role of array-based high-throughput gene expression analysis in understanding the specific genes involved as well as the pathways and the comparative gene expression patterns of primary and metastatic melanoma. The development and clinical application of selective pharmacologic agents are also discussed.

resultsWe identified several articles that have extensively studied the role of epigenetics in melanoma, further elucidating the complex processes involved in gene regulation and expression. Other studies utilizing gene microarray analysis and other whole genome approaches reveal a wide array of genes and expression patterns in human melanoma. Several genes have been identified as potential prognostic markers of tumor progression and overall clinical outcome.

conclusionsHigh-throughput gene expression analysis has had a major impact in melanoma research. Several gene expression platforms have provided insight into the gene expression patterns in melanoma. Such data will provide foundations for the future development of prognostic markers and improved targeted therapies for patients with melanoma.

Indexed as

epigeneticsgenomicsMelanomamiRNAproteomics.

Identifiers

PMID22253648
PMCPMC3257552
OpenAlexW2161735414

What OpenQuestion holds

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LicenceCC BY-NC
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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.