Identification of ACBD3 as a new molecular biomarker in pan-cancers through bioinformatic analysis: a preclinical study
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Published:2023-12-14
Issue:1
Volume:28
Page:
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ISSN:2047-783X
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Container-title:European Journal of Medical Research
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language:en
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Short-container-title:Eur J Med Res
Author:
Ma Xinyue,Huang Shu,Shi Huiqin,Luo Rui,Luo Bei,Tan Zhenju,Shi Lei,Zhang Wei,Yang Weixing,Zhong Xiaolin,Lü Muhan,Chen Xia,Tang Xiaowei
Abstract
Abstract
Background
Acyl-CoA-binding domain-containing 3 (ACBD3) is a multifunctional protein, that plays essential roles in cellular signaling and membrane domain organization. Although the precise roles of ACBD3 in various cancers remain unclear. Thus, we aimed to determine the diverse roles of ACBD3 in pan-cancers.
Methods
Relevant clinical and RNA-sequencing data for normal tissues and 33 tumors from The Cancer Genome Atlas (TCGA) database, the Human Protein Atlas, and other databases were applied to investigate ACBD3 expression in various cancers. ACBD3-binding and ACBD3-related target genes were obtained from the STRING and GEPIA2 databases. The possible functions of ACBD3-binding genes were explored using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. We also applied the diagnostic value and survival prognosis analysis of ACBD3 in pan-cancers using R language. The mutational features of ACBD3 in various TCGA cancers were obtained from the cBioPortal database.
Results
When compared with normal tissues, ACBD3 expression was statistically upregulated in eleven cancers and downregulated in three cancers. ACBD3 expression was remarkably different among various pathological stages of tumors, immune and molecular subtypes of cancers, cancer phosphorylation levels, and immune cell infiltration. The survival of four tumors was correlated with the expression level of ACBD3, including pancreatic adenocarcinoma, adrenocortical carcinoma, sarcoma, and glioma. The high accuracy in diagnosing multiple tumors and its correlation with prognosis indicated that ACBD3 may be a potential biomarker of pan-cancers.
Conclusion
According to our pan-cancer analysis, ACBD3 may serve as a remarkable prognostic and diagnostic biomarker of pan-cancers as well as contribute to tumor development. ACBD3 may also provide new directions for cancer treatment targets in the future.
Funder
Natural Science Foundation of Sichuan Province
Publisher
Springer Science and Business Media LLC
Reference34 articles.
1. Mino-Kenudson M, Schalper K, Cooper W, Dacic S, Hirsch FR, Jain D, Lopez-Rios F, Tsao MS, Yatabe Y, Beasley MB, Yu H, Sholl LM, Brambilla E, Chou TY, Connolly C, Wistuba I, Kerr KM, Lantuejoul S, IASLC Pathology Committee. Predictive biomarkers for immunotherapy in lung cancer: perspective from the international association for the study of lung cancer pathology committee. J Thorac Oncol. 2022;17(12):1335–54. https://doi.org/10.1016/j.jtho.2022.09.109. 2. Zhong H, Shi Q, Wen Q, Chen J, Li X, Ruan R, Zeng S, Dai X, Xiong J, Li L, Lei W, Deng J. Pan-cancer analysis reveals potential of FAM110A as a prognostic and immunological biomarker in human cancer. Front Immunol. 2023;27(14):1058627. https://doi.org/10.3389/fimmu.2023.1058627. 3. Pradat Y, Viot J, Yurchenko AA, Gunbin K, Cerbone L, Deloger M, Grisay G, Verlingue L, Scott V, Padioleau I, Panunzi L, Michiels S, Hollebecque A, Jules-Clément G, Mezquita L, Lainé A, Loriot Y, Besse B, Friboulet L, André F, Cournède PH, Gautheret D, Nikolaev SI. Integrative pan-cancer genomic and transcriptomic analyses of refractory metastatic cancer. Cancer Discov. 2023;13(5):1116–43. https://doi.org/10.1158/2159-8290.CD-22-0966. 4. Islinger M, Costello JL, Kors S, Soupene E, Levine TP, Kuypers FA, et al. The diversity of ACBD proteins - From lipid binding to protein modulators and organelle tethers. Biochim Biophys Acta Mol Cell Res. 2020;1867(5):118675. https://doi.org/10.1016/j.bbamcr.2020.118675. 5. Houghton-Gisby J, Kerslake R, Karteris E, Mokbel K, Harvey AJ. ACBD3 bioinformatic analysis and protein expression in breast cancer cells. Int J Mol Sci. 2022;23(16):8881. https://doi.org/10.3390/ijms23168881.
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