Evidence map›Paper›PMID 36132147›Full record

ArticleFrontiers in oncology2022

Use of long non-coding RNAs for the molecular diagnosis of papillary thyroid cancer.

Daham Kim, Juyeon Yu, Jiwon Kim, Yoon-A Hwang, Jin Kyong Kim, Cheol Ryong Ku, Jung Hyun Yoon, Jin Young Kwak, Kee-Hyun Nam, Eun Jig Lee

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Traditional Chinese Medicine Treatment of Thyroid Cancer: A Review.International journal of general medicine · 2025
    Review
  6. Article
  7. Review
  8. 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

10 authors at 1 institution in 1 country.

Daham KimDepartment of Internal Medicine, Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, South Korea.
Juyeon YuDepartment of Internal Medicine, Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, South Korea.
Jiwon KimDepartment of Internal Medicine, Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, South Korea.
Yoon-A HwangDepartment of Internal Medicine, Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, South Korea.
Jin Kyong KimDepartment of Surgery, Yonsei University College of Medicine, Seoul, South Korea.
Cheol Ryong KuDepartment of Internal Medicine, Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, South Korea.
Jung Hyun YoonDepartment of Radiology, Yonsei University College of Medicine, Seoul, South Korea.
Jin Young KwakDepartment of Radiology, Yonsei University College of Medicine, Seoul, South Korea.
Kee-Hyun NamDepartment of Surgery, Yonsei University College of Medicine, Seoul, South Korea.
Eun Jig LeeDepartment of Internal Medicine, Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, South Korea.
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Improved molecular testing for common somatic mutations and the identification of mRNA and microRNA expression classifiers are promising approaches for the diagnosis of thyroid nodules. However, there is a need to improve the diagnostic accuracy of such tests for identifying thyroid cancer. Recent findings have revealed a crucial role of long non-coding RNAs (lncRNAs) in gene modulation. Thus, we aimed to evaluate the diagnostic value of selected lncRNAs from The Atlas of Noncoding RNAs in Cancer (TANRIC) thyroid cancer dataset. Methods: LncRNAs in TANRIC thyroid cancer dataset that have significantly increased or decreased expression in papillary thyroid cancer (PTC) tissues were selected as candidates for PTC diagnosis. Surgical specimens from patients who underwent thyroidectomy were used to determine the separation capability of candidate lncRNAs between malignant and benign nodules. Fine needle aspiration samples were obtained and screened for candidate lncRNAs to verify their diagnostic value. Results: LRRC52-AS1, LINC02471, LINC02082, UNC5B-AS1, LINC02408, MPPED2-AS1, LNCNEF, LOC642484, ATP6V0E2-AS1, and LOC100129129 were selected as the candidate lncRNAs. LRRC52-AS1, LINC02082, UNC5B-AS1, MPPED2-AS1, LNCNEF, and LOC100129129 expression levels were significantly increased or decreased in malignant nodules compared to those in benign nodules and paired normal thyroid tissues. The combination of LRRC52-AS1, LINC02082, and UNC5B-AS1 showed favorable results for the diagnosis of PTC from fine needle aspirates, with 88.9% sensitivity and 100.0% specificity. Conclusions: LncRNA expression analysis is a promising approach for advancing the molecular diagnosis of PTC. Further studies are needed to identify lncRNAs of additional diagnostic value.

Indexed as

diagnosislong non-coding RNAmolecular testthyroid cancerthyroid nodule

Identifiers

PMID36132147
PMCPMC9483125
OpenAlexW4294629128

What Socratic 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 Socratic graph.