Evidence map›Paper›PMID 34888848›Full record

ArticleAdvances in experimental medicine and biology2021

Noncoding RNAs in Papillary Thyroid Cancer: Interaction with Cancer-Associated Fibroblasts (CAFs) in the Tumor Microenvironment (TME) and Regulators of Differentiation and Lymph Node Metastasis.

Sina Dadafarin, Michelle Carnazza, Humayun K Islam, Augustine Moscatello, Raj K Tiwari, Jan Geliebter

Abstract read
PubMed Publisher
In one paragraph

Article in Advances in experimental medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. The Role of M6A LncRNA Modification in Papillary Thyroid Cancer.International journal of molecular sciences · 2025
    Review
  5. Review
  6. Younger Than 55 Years Old andInternational journal of general medicine · 2023
    Article
  7. 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

6 authors at 1 institution in 1 country.

Sina DadafarinDepartment of Pathology, Microbiology, and Immunology, New York Medical College, Valhalla, NY, USA.
Michelle CarnazzaDepartment of Pathology, Microbiology, and Immunology, New York Medical College, Valhalla, NY, USA.
Humayun K IslamDepartment of Pathology, Microbiology, and Immunology, New York Medical College, Valhalla, NY, USA.
Augustine MoscatelloDepartment of Otolaryngology, New York Medical College, Westchester Medical Center, Valhalla, NY, USA.
Raj K TiwariDepartment of Pathology, Microbiology, and Immunology, New York Medical College, Valhalla, NY, USA.
Jan GeliebterDepartment of Pathology, Microbiology, and Immunology, New York Medical College, Valhalla, NY, USA. Jan_Geliebter@nymc.edu.
New York Medical College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large majority of all thyroid cancers are papillary thyroid carcinomas (PTC), named for the specific papillary architecture observed histologically. Despite the high rate of success with modern diagnostic and therapeutic algorithms, there are significant areas where the management of PTC can be improved. Aggressive PTC subtypes that are refractory to radioactive iodine (RAI) therapy carry a more severe prognosis and account for most of PTC-related deaths. As lymph node metastasis is present in roughly 40% of all adult PTC cases, higher specificity in these tests is a clinical need, especially since lymph node metastases are associated with reduced survival and higher recurrence rates. Additionally, this cancer can progress to more dedifferentiated and aggressive variants, such as poorly differentiated papillary thyroid cancer (PDPTC) and anaplastic thyroid cancer (ATC). Therefore, development of more sensitive and specific detection methods that allow unnecessary surgeries to be avoided is of the utmost importance. The body of large-scale, unbiased gene expression analysis in PTC has focused on the coding transcriptome, specifically mRNAs and microRNAs. However, there have been implications for the potential use of long noncoding RNAs (lncRNAs) in PTC diagnosis, prognosis, and treatment via the utilization of genome-wide studies of patient samples. lncRNAs have diverse regulatory potential in gene expression, alternative splicing, posttranscriptional mRNA modification, and epigenomic alterations. Many lncRNAs have tissue-specific expression and are demonstrated to play key roles in cancer progression and prognosis. However, lncRNAs are not being exploited as biomarkers or therapeutic targets currently, despite their elucidated effects on oncogenesis. These potent biomarkers would be revolutionary in detection at early stages, as this significantly increases the chances of survival. Their aberrant expression in cancer and correlation with steps in tumorigenesis as well as their role in differentiation would allow for a promising role as a prognostic and diagnostic biomarker in thyroid cancer. This would help prevent the more aggressive ATC that derives from dedifferentiation of the less aggressive PTC and FTC. The targeting of the specific lncRNAs could also pose a valuable treatment option via preventing or reversing this dedifferentiation process and making this usually refractory form of thyroid cancer more responsive to standard treatment options.

Indexed as

Cancer-Associated FibroblastsThyroid NeoplasmsGene Expression Regulation, NeoplasticHumansIodine RadioisotopesLymphatic MetastasisThyroid Cancer, PapillaryTumor MicroenvironmentIodine RadioisotopesBiomarkersDedifferentiationLong noncoding RNANovel treatmentPapillary thyroid cancerTissue specificityTranscriptional regulationTumor microenvironment

Identifiers

PMID34888848
OpenAlexW4206711044

What OpenQuestion holds

Textmetadata
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.