Evidence map›Paper›PMID 24955023›Full record

ArticleCurrent genomics2014

Molecular pathways associated with aggressiveness of papillary thyroid cancer.

Salvatore Benvenga, Christian A Koch

Open access · bronzeAbstract read
In one paragraph

Article in Current genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. PRECISE: A Prognostic Thyrocyte-Derived Gene Signature for Papillary Thyroid Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  8. Mps1 is associated with the BRAFOncology letters · 2018
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  14. Roles of phosphatidylinositol 3-kinase regulatory subunit alpha, activator protein-1, and programmed cell death 4 in diagnosis of papillary thyroid carcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    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

2 authors at 2 institutions in 2 countries.

Salvatore BenvengaDepartment of Clinical & Experimental Medicine, Section of Endocrinology, University of Messina, Messina, Italy.
Christian A KochDivision of Endocrinology, University of Mississippi Medical Center, Jackson, MS, USA ; GV (Sonny) Montgomery VA Medical Center, Jackson, MS, USA.
G.V. (Sonny) Montgomery VA Medical Center · USUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most common thyroid malignancy is papillary thyroid cancer (PTC). Mortality rates from PTC mainly depend on its aggressiveness. Geno- and phenotyping of aggressive PTC has advanced our understanding of treatment failures and of potential future therapies. Unraveling molecular signaling pathways of PTC including its aggressive forms will hopefully pave the road to reduce mortality but also morbidity from this cancer. The mitogen-activated protein kinase and the phosphatidylinositol 3-kinase signaling pathway as well as the family of RAS oncogenes and BRAF as a member of the RAF protein family and the aberrant expression of microRNAs miR-221, miR-222, and miR-146b all play major roles in tumor initiation and progression of aggressive PTC. Small molecule tyrosine kinase inhibitors targeting BRAF-mediated events, vascular endothelial growth factor receptors, RET/PTC rearrangements, and other molecular targets, show promising results to improve treatment of radioiodine resistant, recurrent, and aggressive PTC.

Indexed as

BRAFP13/AktPapillary thyroid cancerSignalingTyrosine kinaseVEGF.

Identifiers

PMID24955023
PMCPMC4064555
OpenAlexW2077247168

What OpenQuestion holds

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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.