Evidence map›Paper›PMID 22136817›Full record

ArticleSurgery2011

Molecular pathways associated with mortality in papillary thyroid cancer.

Naris Nilubol, Chotiya Sukchotrat, Lisa Zhang, Mei He, Electron Kebebew

Abstract read
In one paragraph

Article in Surgery, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  4. Novel biomarkerFuture science OA · 2018
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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

5 authors at 2 institutions in 1 country.

Naris NilubolEndocrine Oncology Section, Surgery Branch, National Cancer Institute, NIH, Bethesda, MD 20892, USA. niluboln@mail.nih.gov
Chotiya Sukchotrat
Lisa Zhang
Mei He
Electron Kebebew
National Cancer Institute · USThe University of Texas at Arlington · US

Funding

Genomic and genetic studies of endocrine cancersZIABC011275 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KEBEBEW, ELECTRON · 2010 to 2018
$8.2M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

backgroundA better understanding of the molecular mechanisms involved in papillary thyroid cancer (PTC)-associated adverse outcome is needed to manage these patients effectively. Our objectives were to identify molecular pathways associated with unfavorable features and outcomes in patients with PTC.

methodsWe performed genome-wide expression (GWE) analysis in 64 human tissue samples affected by PTC. Clinical, pathologic, and microarray data were analyzed to identify differentially expressed genes and pathways associated with unfavorable outcomes. Gene set enrichment analysis (GSEA) was used to determine which molecular pathways are associated with mortality.

resultsGWE analysis identified 43, 115, and 40 genes that were significantly differentially expressed by gender, tumor differentiation status, and mortality, respectively, with a false-discovery rate of <5%. For mortality, GSEA revealed 7 enriched pathways, including transfer RNA synthesis, mitochondria and oxidative phosphorylation, porphyrin and chlorophyll metabolism, and fatty acid synthesis. Leading-edge analysis showed that 341 genes were significantly involved in the enriched pathways. Cluster analysis using 100 differentially expressed genes showed complete separation of patients by mortality.

conclusionTo our knowledge, this is the first GWE analysis of PTC and adverse outcomes. We found 11 molecular pathways that were significantly associated with mortality resulting from PTC. A 100-gene signature completely separates patients with and without PTC-associated mortality.

Indexed as

AdolescentAdultAgedAged, 80 and overCarcinomaCarcinoma, PapillaryCluster AnalysisFemaleGene Expression ProfilingGenome-Wide Association StudyHumansMaleMetabolic Networks and PathwaysMiddle AgedPrognosisProspective Studies

Identifiers

PMID22136817
PMCPMC5581404
OpenAlexW1978226714

What OpenQuestion holds

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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.