Evidence map›Paper›PMID 37658903›Full record

ArticleEndocrine pathology2023

Identification of NIFTP-Specific mRNA Markers for Reliable Molecular Diagnosis of Thyroid Tumors.

So-Yeon Lee, Jong-Lyul Park, Kwangsoon Kim, Ja Seong Bae, Jae-Yoon Kim, Seon-Young Kim, Chan Kwon Jung

Abstract read
In one paragraph

Article in Endocrine pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

7 authors.

So-Yeon Lee *Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology, 34141, Daejeon, Korea.ORCID http://orcid.org/0009-0006-0944-8970
Jong-Lyul Park *Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology, 34141, Daejeon, Korea.ORCID http://orcid.org/0000-0002-7179-6478
Kwangsoon KimDepartment of Surgery, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID http://orcid.org/0000-0001-6403-6035
Ja Seong BaeDepartment of Surgery, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID http://orcid.org/0000-0002-6271-2105
Jae-Yoon KimPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology, 34141, Daejeon, Korea.ORCID http://orcid.org/0000-0002-8557-0998
Seon-Young KimPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology, 34141, Daejeon, Korea. kimsy@kribb.re.kr.ORCID http://orcid.org/0000-0002-1030-7730
Chan Kwon JungDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul, Korea. ckjung@catholic.ac.kr.ORCID http://orcid.org/0000-0001-6843-3708

Funding

Basic Science Research Program through the National Research Foundation of Korea NRF-2020R1F1A1070028Korean Health Technology R&D Project HI21C0940KRIBB Research Initiative Program KGM5192322Systemic Industrial Infrastructure Projects through the Ministry of Trade, Industry and Energy P0009796
6 · The paper itself

Abstract

Non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) is a low-risk thyroid tumor with a favorable prognosis. Nonetheless, differentiating NIFTP from other thyroid tumors remains challenging, necessitating reliable diagnostic markers. This study is aimed at discovering NIFTP-specific mRNA markers through RNA sequencing analysis of thyroid tumor tissues. We performed mRNA expression profiling for 74 fresh frozen thyroid tissue samples, including NIFTP and benign and malignant follicular-cell-derived tumors. NIFTP/malignant tumors showed 255 downregulated genes and 737 upregulated genes compared to benign tumors. Venn diagram analysis revealed 19 significantly upregulated and 7 downregulated mRNAs in NIFTP. Akaike information criterion analysis allowed us to select OCLN, ZNF423, LYG1, and AQP5 mRNA markers. We subsequently developed a predictive model based on logistic regression analysis using these four mRNAs, which we validated in independent samples (n = 90) using a qRT-PCR assay. This model demonstrated high accuracy in predicting NIFTP in discovery dataset (AUC (area under the receiver operating characteristic) = 0.960) and the validation dataset (AUC = 0.757). Our results suggest that OCLN, ZNF423, LYG1, and AQP5 mRNA markers might serve as reliable molecular markers for identifying NIFTP among other thyroid tumors, ultimately aiding in accurate diagnosis and management of NIFTP patients.

Indexed as

Thyroid NeoplasmsHumansHydrolasesPolymerase Chain ReactionRNA, MessengerHydrolasesRNA, MessengerMessenger RNANIFTPRNA biomarkerRNA sequence analysisThyroid neoplasmsThyroid nodule

Identifiers

PMID37658903
PMCPMC10511606

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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.