Evidence map›Paper›PMID 33394038›Full record

ArticleThe Journal of clinical endocrinology and metabolism2021

DNA Methylation Haplotype Block Markers Efficiently Discriminate Follicular Thyroid Carcinoma from Follicular Adenoma.

Hui Zhang, Zhenzhen Zhang, Xiaoding Liu, Huanli Duan, Tianmin Xiang, Qiye He, Zhixi Su, Huanwen Wu, Zhiyong Liang

Open access · hybridAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Hui ZhangDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China.
Zhenzhen ZhangSinglera Genomics Inc. Shanghai, China.
Xiaoding LiuDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China.
Huanli DuanDepartment of Pathology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Tianmin XiangSinglera Genomics Inc. Shanghai, China.
Qiye HeSinglera Genomics Inc. Shanghai, China.
Zhixi SuSinglera Genomics Inc. Shanghai, China.
Huanwen WuDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China.
Zhiyong LiangDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNSinotech Genomics (China) · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextFollicular thyroid carcinoma (FTC) is the second most common type of thyroid carcinoma and must be pathologically distinguished from benign follicular adenoma (FA). Additionally, the clinical assessment of thyroid tumors with uncertain malignant potential (TT-UMP) demands effective indicators.

objectiveWe aimed to identify discriminating DNA methylation markers between FA and FTC.

methodsDNA methylation patterns were investigated in 33 FTC and 33 FA samples using reduced representation bisulfite sequencing and methylation haplotype block-based analysis. A prediction model was constructed and validated in an independent cohort of 13 FTC and 13 FA samples. Moreover, 36 TT-UMP samples were assessed using this model.

resultsA total of 70 DNA methylation markers, approximately half of which were located within promoters, were identified to be significantly different between the FTC and FA samples. All the Gene Ontology terms enriched among the marker-associated genes were related to "DNA binding," implying that the inactivation of DNA binding played a role in FTC development. A random forest model with an area under the curve of 0.994 was constructed using those markers for discriminating FTC from FA in the validation cohort. When the TT-UMP samples were scored using this model, those with fewer driver mutations also exhibited lower scores.

conclusionAn FTC-predicting model was constructed using DNA methylation markers, which distinguished between FA and FTC tissues with a high degree of accuracy. This model can also be used to help determine the potential of malignancy in TT-UMP.

Indexed as

DNA MethylationAdenocarcinoma, FollicularAdenomaAdolescentAdultAgedBiomarkers, TumorChildDiagnosis, DifferentialFemaleHaplotypesHumansMaleMiddle AgedPromoter Regions, GeneticSensitivity and SpecificityBiomarkers, TumorDNA methylation markersfollicular thyroid carcinoma (FTC)follicular thyroid tumormethylation haplotype block (MHB)thyroid tumors with uncertain malignant potential (TT-UMP)

Identifiers

PMID33394038
PMCPMC7993581
OpenAlexW3119073857

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.