Evidence map›Paper›PMID 32528402›Full record

ReviewFrontiers in endocrinology2020

New Therapies for Advanced Thyroid Cancer.

Diprajan Laha, Naris Nilubol, Myriem Boufraqech

Abstract readHistorical ArticleReview
In one paragraph

Review in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
158citing papers in PubMed, 4 pooled it
–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

158 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Trial
  6. FDA Approval Summary: Cabozantinib for Differentiated Thyroid Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Trial
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98 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

3 authors.

Diprajan LahaSurgical Oncology Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Naris NilubolSurgical Oncology Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Myriem BoufraqechSurgical Oncology Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.

Funding

Therapeutic targets and novel anticancer agents for endocrine cancersZIABC011286 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NILUBOL, NARIS · 2010 to 2025
$16.6M
Intramural NIH HHS ZIA BC011286
6 · The paper itself

Abstract

Thyroid cancer is the most common endocrine cancer. The discovery of new biomarkers for thyroid cancer has significantly improved the understanding of the molecular pathogenesis of thyroid cancer, thus allowing more personalized treatments for patients with thyroid cancer. Most of the recently discovered targeted therapies inhibit the known oncogenic mechanisms in thyroid cancer initiation and progression such as MAPK pathway, PI3K/Akt-mTOR pathways, or VEGF. Despite the significant advances in molecular testing and the discoveries of new and promising therapeutics, effective treatments for advanced and metastatic, iodine-refractory thyroid cancer are still lacking. Here, we aim to summarize the current understanding of the genetic alterations and the dysregulated pathways in thyroid cancer and to discuss the most recent targeted therapies and immunotherapy for advanced thyroid cancer with a promising anti-tumor activity and clinical benefit.

Indexed as

Therapies, InvestigationalHistory, 21st CenturyHumansImmunotherapyMolecular Targeted TherapyMutationSignal TransductionThyroid Neoplasmsadvanced thyroid cancerimmunotherapyRAI-refractorytargeted therapiesthyroid cancer

Identifiers

PMID32528402
PMCPMC7257776

What OpenQuestion holds

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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.