Evidence map›Paper›PMID 42444845›Full record

ArticleFrontiers in chemistry2026

Study on the mechanism of TP53 degradation by SFN ubiquitination affecting locally advanced TC progression.

Ying Peng, Bin Liu, Ting-Ting Yang, You-Wen Su, Lin Zhang, Zhi-Zhong Dong, Chang Diao, Yan-Jun Su, Ruo-Chuan Cheng

Abstract read
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Article in Frontiers in chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ying PengThyroid Disease Diagnosis and Treatment Center, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Bin LiuThyroid Disease Diagnosis and Treatment Center, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Ting-Ting YangThyroid Disease Diagnosis and Treatment Center, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
You-Wen SuThyroid Disease Diagnosis and Treatment Center, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Lin ZhangThyroid Disease Diagnosis and Treatment Center, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Zhi-Zhong DongThyroid Disease Diagnosis and Treatment Center, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Chang DiaoThyroid Disease Diagnosis and Treatment Center, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yan-Jun SuThyroid Disease Diagnosis and Treatment Center, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Ruo-Chuan ChengThyroid Disease Diagnosis and Treatment Center, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Revealing the molecular mechanism of metastasis of advanced thyroid cancer and transforming it into neoadjuvant targeted therapy, to get a great potential to reduce operative mortality and improve clinical prognosis in locally advanced Thyroid Cancer (TC) patients. Methods: Serological tests were conducted to detect the expression level of natural TF-Ab and the sialacidification level of Thomson friedenreich antibody (TF-Ab) in the population; Analysis of downstream acting proteins after exposure to TF-Ag by IP binding mass spectrometry. Clinical histological immunohistochemistry confirmed the expression of the target protein in locally advanced TC tissues. Results: The expression of natural TF-Ab in tumor patients is lower than that in healthy people, while there was no significant difference in the level of sialacidification among antibodies; IP combined with mass spectrometry showed that SFN was a stable and highly expressed molecular interaction protein after exposure to TF-Ag. Clinical histology verified that SFN was significantly higher expressed in locally advanced TC tissues than in inert TC tissues (T1 stage). Cell biology experiments have demonstrated that SFN expression regulation can significantly affect the biological function of TC cells and change the differentiation ratio of CSCs. Intervention of SFN expression Conclusion: The effect of TP53 degradation by SFN ubiquitination on the differentiation of CSCs is a potential molecular mechanism for the widespread metastasis of locally advanced TC.

Indexed as

advanced thyroid cancerSFNTP53tumor metastasisubiquitination

Identifiers

PMID42444845
PMCPMC13359834

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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.