Pan-Cancer Analysis of ANO6 and Experimental Validation in Metastatic Melanoma.

IF 2.1 4区生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY

Biochemical Genetics Pub Date : 2025-03-05 DOI:10.1007/s10528-025-11074-7

Yao An, Haoran Dong, Meishan Yan, Caixu Liu, Danfeng Hu, Qi Liu, Jingqiu Zhang, Xu Han, Zimeng Li, Minghui Xu, Li Chen, Quanzhi Zhang, Chunyan Gao

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引用次数: 0

Abstract

Anoctamin 6 (ANO6) has been implicated in the oncogenicity of malignancies. However, pan-cancer analysis of ANO6 to fully explore its role in tumors has not been performed and little is reported on its role in melanoma. The ANO6 expression levels, clinical correlation, prognostic significance, mutational profiles, immune infiltration pattern, immune checkpoints, immunomodulatory genes, tumor heterogeneity, and molecular function were explored via systematic bioinformatics analysis and multiple public databases. Subsequently, the biological functions of ANO6 in the pulmonary metastasis of B16F10 melanoma cells in vivo were assessed by experimental validation. Our findings have demonstrated that ANO6 was highly expressed in most cancers and associated with poorer prognosis in cancer patients. A close relationship was observed between ANO6 expression level and clinicopathological characteristics, tumor immunity, and tumor heterogeneity. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses indicated that ANO6 was associated with immune response and regulated many cancer-related pathways. Furthermore, a melanoma pulmonary metastasis mice model showed that ANO6 was overexpressed in lung metastasis tissues compared with corresponding normal tissues. Collectively, ANO6 may serve as reliable biomarkers to predict the prognosis for diverse types of cancer and as a prospective marker for melanoma progression.

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来源期刊

Biochemical Genetics 生物-生化与分子生物学

CiteScore

3.90

自引率

0.00%

发文量

133

审稿时长

4.8 months

期刊介绍： Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.