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Genome-wide expression analysis suggests a crucial role of dysregulation of matrix metalloproteinases pathway in undifferentiated thyroid carcinoma

Overview of attention for article published in BMC Genomics, March 2015
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Title
Genome-wide expression analysis suggests a crucial role of dysregulation of matrix metalloproteinases pathway in undifferentiated thyroid carcinoma
Published in
BMC Genomics, March 2015
DOI 10.1186/s12864-015-1372-0
Pubmed ID
Authors

Jesús Espinal-Enríquez, Said Muñoz-Montero, Ivan Imaz-Rosshandler, Aldo Huerta-Verde, Carmen Mejía, Enrique Hernández-Lemus

Abstract

Thyroid cancer (TC) is the most common malignant cancer of the Endocrine System. Histologically, there are three main subtypes of TC: follicular, papillary and anaplastic. Diagnosing a thyroid tumor subtype with a high level of accuracy and confidence is still a difficult task because genetic, molecular and cellular mechanisms underlying the transition from differentiated to undifferentiated thyroid tumors are not well understood. A genome-wide analysis of these three subtypes of thyroid carcinoma was carried out in order to identify significant differences in expression levels as well as enriched pathways for non-shared molecular and cellular features between subtypes. Inhibition of matrix metalloproteinases pathway is a major event involved in thyroid cancer progression and its dysregulation may result crucial for invasiveness, migration and metastasis. This pathway is drastically altered in ATC while in FTC and PTC, the most important pathways are related to DNA-repair activation or cell to cell signaling events. A progression from FTC to PTC and then to ATC was detected and validated on two independent datasets. Moreover, PTX3, COLEC12 and PDGFRA genes were found as possible candidates for biomarkers of ATC while GPR110 could be tested to distinguish PTC over other tumor subtypes. The genome-wide analysis emphasizes the preponderance of pathway-dysregulation mechanisms over simple gene-malfunction as the main mechanism involved in the development of a cancer phenotype.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Researcher 6 18%
Student > Bachelor 4 12%
Other 3 9%
Student > Doctoral Student 2 6%
Other 6 18%
Unknown 6 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 32%
Agricultural and Biological Sciences 8 24%
Medicine and Dentistry 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 March 2015.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from BMC Genomics
#9,273
of 10,648 outputs
Outputs of similar age
#242,161
of 286,004 outputs
Outputs of similar age from BMC Genomics
#261
of 283 outputs
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