Evidence map›Paper›PMID 41372894›Full record

ArticleCancer cell international2025

THOC1 binds to U2AF2 and regulates ovarian cancer progression through the beta-catenin / c-myc / cyclinD1 signaling pathway.

Yifan Feng, Jiaqi Liu, Shuping Zhang, Zhe Zhang, Dong Zhang, Yunxia Cao, Min Li

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In one paragraph

Article in Cancer cell international, 2025. 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

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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yifan Feng *Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China.
Jiaqi Liu *State Key Lab of Reproductive Medicine and Offspring Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.
Shuping Zhang *State Key Lab of Reproductive Medicine and Offspring Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.
Zhe Zhang *Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China.
Dong ZhangState Key Lab of Reproductive Medicine and Offspring Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China. ray.zhang@njmu.edu.cn.
Yunxia CaoDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China. caoyunxia5972@ahmu.edu.cn.
Min LiDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China. liminzhi@ahmu.edu.cn.

Funding

Clinical Medical Research Transformation Project of Anhui Province 202204295107020029
6 · The paper itself

Abstract

backgroundOvarian cancer (OV) poses a significant challenge in oncology due to its complex molecular mechanisms and poor prognosis. This study aims to identify key genes associated with OV progression and explore their potential as therapeutic targets.

methodsUsing multiple machine learning models to identify a key gene in OV. Pan-cancer analysis was conducted to evaluate the expression, mutation, diagnosis, prognosis and pathway of THOC1 across various tumors. Cell proliferation, migration, and invasion experiments were performed to assess the role of THOC1 in OV. Immunoprecipitation (IP), GST pull-down, immunofluorescence, and reverse transcription polymerase chain reaction (RT-qPCR) were employed to identify THOC1-interacting proteins. Finally, RNA sequencing and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were utilized to investigate the molecular pathways involving THOC1 and its interaction with U2 Small Nuclear RNA Auxiliary Factor 2 (U2AF2).

resultsTHOC1 plays an important diagnostic and prognostic role in a variety of tumors and is involved in multiple cancer pathways. Functional assays demonstrated that THOC1 suppresses OV cell proliferation, migration, and invasion. Mechanistically, THOC1 directly binds to U2AF2, with THOC1-340S being a critical interaction site. THOC1 regulates U2AF2 expression, which mediates the suppression of OV progression. RNA-seq and KEGG pathway analysis revealed that THOC1 inhibits the Wnt signaling pathway through its interaction with U2AF2, as evidenced by changes in the protein levels of cyclinD1, c-myc, and beta-catenin.

conclusionsThis study highlights the pivotal role of THOC1 in OV progression and identifies the THOC1-U2AF2 axis as a potential therapeutic target.

Indexed as

Ovarian cancerPrognosisTHOC1Wnt

Identifiers

PMID41372894
PMCPMC12801630

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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.