Evidence map›Paper›PMID 42490795›Full record

ArticleWorld journal of oncology2026

Transcription Factor MAX Regulates Liver Cancer Cell Growth, Migration, Invasion, and Epithelial-Mesenchymal Transition by Promoting SF3A3 Expression.

Gui Zhou, Mei Yu Dai, Xiang Chen, Li Ming Liu, Fa Quan Lin

Abstract read
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Article in World journal of oncology, 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

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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

5 authors.

Gui ZhouKey Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Mei Yu DaiMedical Science Laboratory, the Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou 545005, China.
Xiang ChenLiuzhou Key Laboratory of Molecular Diagnosis, Affiliated Liutie Central Hospital of Guangxi Medical University, Liuzhou 545007, China.
Li Ming LiuMedical Science Laboratory, the Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou 545005, China.
Fa Quan LinKey Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The regulatory relationship between transcription factor MAX and splicing factor SF3A3 in hepatocellular carcinoma (HCC) is unknown. We investigated whether MAX directly regulates SF3A3 and their functional role in HCC progression. Methods: MAX and SF3A3 expression were analyzed in The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-HCC) dataset (UALCAN, GEPIA) and validated in 33 paired HCC and adjacent non-tumor tissues by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Expression and prognostic significance were assessed across cancer stages, grades, and nodal status. Functional roles were evaluated in Hep3B (high expression) and PLC/PRF/5 (low expression) cells using shRNA-mediated knockdown and overexpression, respectively. Cell proliferation (cell counting kit-8, colony formation), migration (wound healing, Transwell), invasion (Matrigel Transwell), and epithelial-mesenchymal transition (EMT) (Western blot for E-cadherin, N-cadherin, and vimentin) were assessed. Mechanistic studies included chromatin immunoprecipitation (ChIP)-quantitative polymerase chain reaction (qPCR), luciferase reporter assays with site-directed mutagenesis, and Myc inhibition. Results: MAX and SF3A3 were overexpressed in HCC tissues compared to normal liver, and high expression was correlated with reduced patient survival, advanced cancer stage, higher tumor grade, and nodal metastasis. A significant positive correlation between MAX and SF3A3 expression was observed. Functional assays demonstrated that MAX or SF3A3 overexpression promoted HCC cell proliferation, migration, invasion, and EMT, while knockdown suppressed these phenotypes. MAX directly bound the SF3A3 promoter (P3 E-box) and activated its transcription in a Myc-dependent manner. Overexpression of MAX or SF3A3 promoted malignant phenotypes, while SF3A3 knockdown reversed MAX-driven oncogenic effects Conclusion: This study establishes a novel MAX-SF3A3 regulatory axis in which MAX directly binds the SF3A3 promoter and activates its transcription in a Myc-dependent manner, driving HCC cell proliferation, migration, invasion, EMT, and tumor growth. Targeting the MAX-SF3A3 axis represents a potential therapeutic strategy for HCC.

Indexed as

Alternative splicingCancer stemnessEpithelial–mesenchymal transitionHepatocellular carcinomaMAXSF3A3Therapeutic targetTranscription factor

Identifiers

PMID42490795
PMCPMC13375434

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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.