Evidence map›Paper›PMID 32698130›Full record

ArticleEndocrine-related cancer2020

Real-time, high-resolution imaging of tumor cells in genetically engineered and orthotopic models of thyroid cancer.

Xhesika Shanja-Grabarz, Anouchka Coste, David Entenberg, Antonio Di Cristofano

Open access · greenAbstract read
In one paragraph

Article in Endocrine-related cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Stabilized Window for Intravital Imaging of the Murine Pancreas.Journal of visualized experiments : JoVE · 2023
    Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. The Year in Basic Thyroid Cancer Research.Thyroid : official journal of the American Thyroid Association · 2022
    Article
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

4 authors at 2 institutions in 1 country.

Xhesika Shanja-GrabarzDepartment of Developmental and Molecular Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York, USA.
Anouchka CosteDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York, USA.
David EntenbergDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York, USA.
Antonio Di CristofanoDepartment of Developmental and Molecular Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York, USA.ORCID 0000-0003-2537-3228
Albert Einstein College of Medicine · USMontefiore Medical Center · US

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI Ulrich Steidl · 1985 to 2026
$111.2M
Molecular analysis and therapeutic targeting of PI3K signaling in thyroid cancerR01CA128943 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI DI CRISTOFANO, ANTONIO · 2009 to 2024
$5.8M
(7) Novel imaging devices for measurement and control of tumor microenvironmentsR01CA216248 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI CADY, NATHANIEL CHARLES, CONDEELIS, JOHN S · 2017 to 2021
$2.9M
Training of Surgeons for Studies of the Tumor MicroenvironmentT32CA200561 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI MCAULIFFE, JOHN · 2015 to 2024
$2.7M
NCI NIH HHS P30 CA013330NCI NIH HHS R01 CA128943NCI NIH HHS R01 CA216248NCI NIH HHS T32 CA200561
6 · The paper itself

Abstract

Genetically engineered and orthotopic xenograft mouse models have been instrumental for increasing our understanding of thyroid cancer progression and for the development of novel therapeutic approaches in a setting that is more physiologically relevant than the classical subcutaneous flank implants. However, the anatomical location of the thyroid gland precludes a non-invasive analysis at the cellular level of the interactions between tumor cells and the surrounding microenvironment and does not allow a real-time evaluation of the response of tumor cells to drug treatments. As a consequence, such studies have generally only relied on endpoint approaches, limiting the amount and depth of the information that could be gathered. Here we describe the development of an innovative approach to imaging specific aspects of thyroid cancer biology, based on the implantation of a permanent, minimally invasive optical window that allows high-resolution, multi-day, intravital imaging of the behavior and cellular dynamics of thyroid tumors in the mouse. We show that this technology allows visualization of fluorescently tagged tumor cells both in immunocompetent, genetically engineered mouse models of anaplastic thyroid cancer (ATC) and in immunocompromised mice carrying orthotopic implanted human or mouse ATC cells. Furthermore, the use of recipient mice in which endothelial cells and macrophages are fluorescently labeled allows the detection of the spatial and functional relationship between tumor cells and their microenvironment. Finally, we show that ATC cells expressing a fluorescent biosensor for caspase 3 activity can be effectively utilized to evaluate, in real-time, the efficacy and kinetics of action of novel small molecule therapeutics. This novel approach to intravital imaging of thyroid cancer represents a platform that will allow, for the first time, the longitudinal, in situ analysis of tumor cell responses to therapy and of their interaction with the microenvironment.

Indexed as

AnimalsApoptosisDiagnostic ImagingDisease Models, AnimalFemaleGenetic EngineeringHumansMiceMice, TransgenicThyroid NeoplasmsTransfectionapoptosishigh-resolutionimagingmouse modelsthyroid cancer

Identifiers

PMID32698130
PMCPMC7450603
OpenAlexW3040699947

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.