Evidence map›Paper›PMID 33806425›Full record

ArticleCancers2021

Development of Novel Follicular Thyroid Cancer Models Which Progress to Poorly Differentiated and Anaplastic Thyroid Cancer.

Caitlin O Caperton, Lee Ann Jolly, Nicole Massoll, Andrew J Bauer, Aime T Franco

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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.

Caitlin O CapertonDepartment of Physiology and Cell Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Lee Ann JollyDepartment of Physiology and Cell Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Nicole MassollDepartment of Pathology, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Andrew J BauerDivision of Endocrinology and Diabetes, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Aime T FrancoDivision of Endocrinology and Diabetes, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.

Funding

RESEARCH AND MENTORING EXCELLENCE IN DIVERSE AND INCLUSIVE ENVIRONMENTR01CA214511 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI FRANCO, AIME T. · 2018 to 2023
$2.7M
National Institute of Health CA214511NCI NIH HHS R01 CA214511
6 · The paper itself

Abstract

Recent developments in thyroid cancer research have been hindered by a lack of validated in vitro models, allowing for preclinical experimentation and the screening of prospective therapeutics. The goal of this work is to develop and characterize three novel follicular thyroid cancer (FTC) cell lines developed from relevant animal models. These cell lines recapitulate the genetics and histopathological features of FTC, as well as progression to a poorly differentiated state. We demonstrate that these cell lines can be used for a variety of in vitro applications and maintain the potential for in vivo transplantation into immunocompetent hosts. Further, cell lines exhibit differing degrees of dysregulated growth and invasive behavior that may help define mechanisms of pathogenesis underlying the heterogeneity present in the patient population. We believe these novel cell lines will provide powerful tools for investigating the molecular basis of thyroid cancer progression and lead to the development of more personalized diagnostic and treatment strategies.

Indexed as

cell linesfollicular thyroid cancerHrasMAPKPI3Kthyroid cancer

Identifiers

PMID33806425
PMCPMC7961488

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.