Evidence map›Paper›PMID 28956361›Full record

ReviewEndocrinology and metabolism (Seoul, Korea)2017

Epigenetic Modifications: Novel Therapeutic Approach for Thyroid Cancer.

Xuguang Zhu, Sheue Yann Cheng

Abstract readReview
In one paragraph

Review in Endocrinology and metabolism (Seoul, Korea), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. The role of epigenetic methylations in thyroid Cancer.World journal of surgical oncology · 2024
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Role of Emerging Environmental Risk Factors in Thyroid Cancer: A Brief Review.International journal of environmental research and public health · 2019
    Review
  10. 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

2 authors.

Xuguang ZhuLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Sheue Yann ChengLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. chengs@mail.nih.gov.ORCID https://orcid.org/0000-0003-3530-2386

Funding

Preclinical Mouse Models of Thyroid CancerZIABC011191 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHENG, SHEUE-YANN · 2009 to 2025
$13.8M
6 · The paper itself

Abstract

The incidence of thyroid cancer is growing the fastest among all cancers in the United States, especially in women. The number of patients with thyroid neoplasm is part of an even larger number of patients who often need to undergo an operation to exclude a cancer diagnosis. While differentiated thyroid cancer (papillary thyroid cancer and follicular thyroid cancer) accounts for most cases of thyroid cancer and has a relatively good prognosis, effective treatments for patients with de-differentiated and anaplastic thyroid cancer are still gravely needed. Despite progress in the identification of genetic changes in thyroid cancer, the impact of aberrant epigenetic alterations on thyroid cancer remains to be fully elucidated. Understanding of the roles of epigenetic changes in thyroid cancer could open new opportunities for the identification of innovative molecular targets for novel treatment modalities, especially for anaplastic thyroid cancer for which treatment is very limited. This article briefly reviews the studies that exemplify the potential for and promise of using epigenetic regulators in the treatment of thyroid cancer.

Indexed as

BET protein inhibitorsBET proteinsChromatin modificationsEpigenomicsHistone deacetylase inhibitorsHistone deacetylasesJQ1Thyroid neoplasms

Identifiers

PMID28956361
PMCPMC5620028

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.