Evidence map›Paper›PMID 24645981›Full record

ArticleMolecular cancer2014

Thioredoxin interacting protein (TXNIP) is a novel tumor suppressor in thyroid cancer.

Jennifer A Morrison, Laura A Pike, Sharon B Sams, Vibha Sharma, Qiong Zhou, Jill J Severson, Aik-Choon Tan, William M Wood, Bryan R Haugen

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

62 citing papers in PubMed, 101 citations in OpenAlex.

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  14. Thioredoxin-dependent system. Application of inhibitors.Journal of enzyme inhibition and medicinal chemistry · 2021
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2 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Jennifer A MorrisonDepartment of Medicine, Division of Endocrinology, Diabetes, & Metabolism, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA. Jennifer.Morrison@ucdenver.edu.
Laura A Pike
Sharon B Sams
Vibha Sharma
Qiong Zhou
Jill J Severson
Aik-Choon Tan
William M Wood
Bryan R Haugen
University of Colorado Anschutz Medical Campus · USUniversity of Colorado Cancer Center · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
TRAINING PROGRAM IN DIABETES, ENDOCRINOLOGY &METABOLISMT32DK007446 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI BESSESEN, DANIEL HOLLAND · 1986 to 2017
$5.6M
TXNIP as a Key Regulator of Thyroid Cancer Metabolism and AggressivenessR01CA175994 · NCI · UNIVERSITY OF COLORADO DENVER · PI HAUGEN, BRYAN R. · 2013 to 2017
$1.6M
TXNIP as a regulator of thyroid cancer aggressivenessF32CA174374 · NCI · UNIVERSITY OF COLORADO DENVER · PI MORRISON, JENNIFER A · 2013 to 2013
$59k
NCI NIH HHS 1R01 CA175994NCI NIH HHS F32 CA174374NCI NIH HHS P30 CA046934NCI NIH HHS P30 CA46934NCI NIH HHS R01 CA175994NIDDK NIH HHS T32 DK007446-31
6 · The paper itself

Abstract

backgroundThyroid cancer is the most common endocrine malignancy, and many patients with metastatic differentiated thyroid cancer (DTC), poorly differentiated thyroid cancer (PDTC), and anaplastic thyroid cancer (ATC) fail to respond to conventional therapies, resulting in morbidity and mortality. Additional therapeutic targets and treatment options are needed for these patients. We recently reported that peroxisome proliferator-activated receptor gamma (PPARγ) is highly expressed in ATC and confers an aggressive phenotype when overexpressed in DTC cells.

methodsMicroarray analysis was used to identify downstream targets of PPARγ in ATC cells. Western blot analysis and immunohistochemistry (IHC) were used to assess thioredoxin interacting protein (TXNIP) expression in thyroid cancer cell lines and primary tumor specimens. Retroviral transduction was used to generate ATC cell lines that overexpress TXNIP, and assays that assess glucose uptake, viable cell proliferation, and invasion were used to characterize the in vitro properties of these cells. An orthotopic thyroid cancer mouse model was used to assess the effect of TXNIP overexpression in ATC cell lines in vivo.

resultsUsing microarray analysis, we show that TXNIP is highly upregulated when PPARγ is depleted from ATC cells. Using Western blot analysis and IHC, we show that DTC and ATC cells exhibit differential TXNIP expression patterns. DTC cell lines and patient tumors have high TXNIP expression in contrast to low or absent expression in ATC cell lines and tumors. Overexpression of TXNIP decreases the growth of HTh74 cells compared to vector controls and inhibits glucose uptake in the ATC cell lines HTh74 and T238. Importantly, TXNIP overexpression in T238 cells results in attenuated tumor growth and decreased metastasis in an orthotopic thyroid cancer mouse model.

conclusionsOur findings indicate that TXNIP functions as a tumor suppressor in thyroid cells, and its downregulation is likely important in the transition from differentiated to advanced thyroid cancer. These studies underscore the potential of TXNIP as a novel therapeutic target and prognostic indicator in advanced thyroid cancer.

Indexed as

AnimalsBlotting, WesternCarrier ProteinsCell Line, TumorGenes, Tumor SuppressorHeterograftsHumansImmunohistochemistryMiceOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionThyroid NeoplasmsTransduction, GeneticCarrier ProteinsTXNIP protein, human

Identifiers

PMID24645981
PMCPMC3995095
OpenAlexW2144581250

What OpenQuestion holds

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LicenceCC BY
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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.