Evidence map›Paper›PMID 37726690›Full record

ArticleBMC cancer2023

YTHDF3as a prognostic predictive biomarker of thyroid cancer and its correlation with immune infiltration.

Yihan Zhang, Ying Chen, Ruihua Chen, Hong Zhou, Yi Lin, Bingxin Li, Huaidong Song, Guoqiang Zhou, Mei Dong, Huanbai Xu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% 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, 8 citations in OpenAlex.

  1. Article
  2. YTHDF3 Promoted Gastric Cancer Progression by Facilitating mAnalytical cellular pathology (Amsterdam) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. The role of epigenetic methylations in thyroid Cancer.World journal of surgical oncology · 2024
    Review
  7. Review
  8. 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

10 authors at 5 institutions in 1 country.

Yihan Zhang *Department of Endocrinology and Metabolism, Center for Microbiota and Immunological Diseases, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ying Chen *Department of Endocrinology and Metabolism, Changhai Hospital of Shanghai, Shanghai, China.
Ruihua ChenDepartment of Endocrinology and Metabolism, Center for Microbiota and Immunological Diseases, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Hong ZhouDepartment of Endocrinology and Metabolism, Center for Microbiota and Immunological Diseases, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yi LinDepartment of Endocrinology and Metabolism, Center for Microbiota and Immunological Diseases, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Bingxin LiDepartment of Endocrinology and Metabolism, Center for Microbiota and Immunological Diseases, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Huaidong SongDepartment of Molecular Diagnostics & Endocrinology, The Core Laboratory in Medical Center of Clinical Research, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guoqiang ZhouDepartment of General Surgery, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, China. chowgq@sina.com.
Mei DongDepartment of Molecular Diagnostics & Endocrinology, The Core Laboratory in Medical Center of Clinical Research, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. dm20180301@163.com.
Huanbai XuDepartment of Endocrinology and Metabolism, Center for Microbiota and Immunological Diseases, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. huanbaixu@126.com.
Shanghai First People's Hospital · CNShanghai Jiao Tong University · CNSecond Military Medical University · CNShanghai Ninth People's Hospital · CNXuzhou Medical College · CN

Funding

National Natural Science Foundation of China 81770786
6 · The paper itself

Abstract

purposeThyroid cancer (TC) is one of the most common endocrine malignancies, and its morbidity continues to rise. N

methodRNA-seq data of TC was downloaded from the Cancer Genome Atlas (TCGA) database to screen out the differential expressed regulators. The absolute contraction selection operator (Lasso) Cox regression was used to construct the risk model of m

resultsIGF2BP2, YTHDF1 and YTHDF3 were screened out as strong independent prognostic factors of TC. Then a risk score model was established to further screen the predictors. Finally, according to the results of overall survival (OS) and clinical characteristics of TC, YTHDF3 was screened out as a potential predictor. Meanwhile, IHC and qPCR confirmed that YTHDF3 was expressed differential in TC. The expression of YTHDF3 was positively associated with the infiltration level of CD4

conclusionWe confirmed that YTHDF3 can be used as a potential prognostic biomarker of TC. It not only plays a decisive role in the initiation and development of TC, but also provides a new perspective for understanding the modification of m

Indexed as

Thyroid NeoplasmsCognitionDatabases, FactualEpigenesis, GeneticHumansPrognosisRNA-Binding ProteinsIGF2BP2 protein, humanRNA-Binding ProteinsBiomarkersImmune infiltrationm6A RNA methylation regulatorsThyroid cancerYTHDF3

Identifiers

PMID37726690
PMCPMC10507848
OpenAlexW4386864629

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.