Evidence map›Paper›PMID 31269742›Full record

ReviewInternational journal of molecular sciences2019

Activation of the IGF Axis in Thyroid Cancer: Implications for Tumorigenesis and Treatment.

Livia Manzella, Michele Massimino, Stefania Stella, Elena Tirrò, Maria Stella Pennisi, Federica Martorana, Gianmarco Motta, Silvia Rita Vitale, Adriana Puma, Chiara Romano and 4 more

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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  16. Diabetes Mellitus and Thyroid Cancers: Risky Correlation, Underlying Mechanisms and Clinical Prevention.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
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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

14 authors at 2 institutions in 1 country.

Livia ManzellaDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy. manzella@unict.it.
Michele MassiminoDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.
Stefania StellaDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.
Elena TirròDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.ORCID 0000-0001-8012-5134
Maria Stella PennisiDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.
Federica MartoranaCenter of Experimental Oncology and Hematology, A.O.U. Policlinico-Vittorio Emanuele, 95123 Catania, Italy.ORCID 0000-0001-5062-2914
Gianmarco MottaCenter of Experimental Oncology and Hematology, A.O.U. Policlinico-Vittorio Emanuele, 95123 Catania, Italy.
Silvia Rita VitaleDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.
Adriana PumaDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.
Chiara RomanoDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.
Sandra Di GregorioDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.
Marco RussoEndocrinology, Department of Clinical and Experimental Medicine, Garibaldi-Nesima Medical Center, University of Catania, 95122, Italy.
Pasqualino MalandrinoEndocrinology, Department of Clinical and Experimental Medicine, Garibaldi-Nesima Medical Center, University of Catania, 95122, Italy.ORCID 0000-0003-2474-0954
Paolo VigneriDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.
University of Catania · ITAzienda Ospedaliero-Universitaria Policlinico - Vittorio Emanuele · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Insulin-like growth factor (IGF) axis is one of the best-established drivers of thyroid transformation, as thyroid cancer cells overexpress both IGF ligands and their receptors. Thyroid neoplasms encompass distinct clinical and biological entities as differentiated thyroid carcinomas (DTC)-comprising papillary (PTC) and follicular (FTC) tumors-respond to radioiodine therapy, while undifferentiated tumors-including poorly-differentiated (PDTC) or anaplastic thyroid carcinomas (ATCs)-are refractory to radioactive iodine and exhibit limited responses to chemotherapy. Thus, safe and effective treatments for the latter aggressive thyroid tumors are urgently needed. Despite a strong preclinical rationale for targeting the IGF axis in thyroid cancer, the results of the available clinical studies have been disappointing, possibly because of the crosstalk between IGF signaling and other pathways that may result in resistance to targeted agents aimed against individual components of these complex signaling networks. Based on these observations, the combinations between IGF-signaling inhibitors and other anti-tumor drugs, such as DNA damaging agents or kinase inhibitors, may represent a promising therapeutic strategy for undifferentiated thyroid carcinomas. In this review, we discuss the role of the IGF axis in thyroid tumorigenesis and also provide an update on the current knowledge of IGF-targeted combination therapies for thyroid cancer.

Indexed as

Signal TransductionAnimalsAntineoplastic AgentsCarcinogenesisHumansMolecular Targeted TherapySomatomedinsThyroid NeoplasmsAntineoplastic AgentsSomatomedinsIGF axistherapeutic approachthyroid cancer

Identifiers

PMID31269742
PMCPMC6651760
OpenAlexW2956005636

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.