Evidence map›Paper›PMID 38674166›Full record

ReviewMedicina (Kaunas, Lithuania)2024

State of the Art in 3D Culture Models Applied to Thyroid Cancer.

Alessandro Prete, Antonio Matrone, Roberto Plebani

Open access · goldAbstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2024. 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
2.4field-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

6 citing papers in PubMed, 4 citations in OpenAlex.

  1. The Application of 3D Cell Culture in Thyroid Cancer.Annals of biomedical engineering · 2026
    Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
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

3 authors at 2 institutions in 1 country.

Alessandro PreteDepartment of Clinical and Experimental Medicine, Endocrine Unit 2, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0003-3633-6916
Antonio MatroneDepartment of Clinical and Experimental Medicine, Endocrine Unit 2, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0003-4263-4717
Roberto PlebaniDepartment of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University, 66100 Chieti-Pescara, Italy.ORCID 0000-0003-1017-6440
University of Pisa · ITUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid cancer (TC) is the prevalent endocrine tumor with a rising incidence, particularly in higher-income countries, leading to an increased interest in its management and treatment. While overall, survival rates for TC are usually favorable, advanced cases, especially with metastasis and specific histotypes, pose challenges with poorer outcomes, advocating the need of systemic treatments. Targeted therapies have shown efficacy in both preclinical models and clinical trials but face issues of resistance, since they usually induce partial and transient response. These resistance phenomena are currently only partially addressed by traditional preclinical models. This review explores the limitations of traditional preclinical models and emphasizes the potential of three-dimensional (3D) models, such as transwell assays, spheroids, organoids, and organ-on-chip technology in providing a more comprehensive understanding of TC pathogenesis and treatment responses. We reviewed their use in the TC field, highlighting how they can produce new interesting insights. Finally, the advent of organ-on-chip technology is currently revolutionizing preclinical research, offering dynamic, multi-cellular systems that replicate the complexity of human organs and cancer-host interactions.

Indexed as

Thyroid NeoplasmsCell Culture TechniquesCell Culture Techniques, Three DimensionalHumansOrganoidsSpheroids, Cellular3D culture modelsgland-on-a-chipmicrofluidic devicesorgan-on-a-chipthyroid cancerthyroid-on-a-chip

Identifiers

PMID38674166
PMCPMC11051914
OpenAlexW4393080107

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.