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Published on: September 20, 2016
Machine Learning Reveals Aneuploidy Characteristics in Cancers: The Impact of BEX4
Aizhong Xu1,2, Jianjun Liu1, Li Tong1
1Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, 230022 Hefei, Anhui, China.
Background:
Aneuploidy is crucial yet under-explored in cancer pathogenesis. Specifically, the involvement of brain expressed X-linked gene 4 (BEX4) in microtubule formation has been identified as a potential aneuploidy mechanism. Nevertheless, BEX4's comprehensive impact on aneuploidy incidence across different cancer types remains unexplored.
Methods:
Patients from The Cancer Genome Atlas (TCGA) were stratified into high-score (training) and low-score (control) groups based on the aneuploidy score. Mfuzz expression pattern clustering and functional enrichment were applied to genes with BEX4 as the core to explore their regulatory mechanisms. Various machine learning techniques were employed to screen aneuploidy-associated genes, after which aneuploidy characteristic subtypes were established in cancers. Moreover, the aneuploidy characteristics across multiple cancer types were investigated by integrating the extent of tumor cell stemness acquisition and a series of immune traits. Immunohistochemistry and proliferation assay mainly verified the anti-tumor effect of different BEX4 level.
Results:
Functional clustering results showed that aneuploidy and stemness were significantly associated in kidney chromophobe (KICH) and thyroid carcinoma (THCA). And cell metabolism and cell cycle had key effects. Residual analysis indicates superior screening performance by random forest (RF). An aneuploid feature gene set with BEX4 as the core was screened to construct a Nomogram model. BEX4, calmodulin regulated spectrin associated protein 2 (CAMSAP2), and myristoylated alanine rich protein kinase C substrate (MARCKS) were identified as aneuploidy characteristic hub genes. Molecular subtypes in thymoma (THYM), thyroid carcinoma (THCA), and kidney chromophobe (KICH) showed significant differences in tumor cell stemness among different subtypes. The competitive endogenous RNA (ceRNA)-Genes network revealed that hub genes, co-regulated by hsa-miR-425-5p, hsa-miR-200c-3p, and others, regulate microtubules, centrosomes, and microtubule cytoskeleton. Furthermore, elevated BEX4 emerged as a significant protective factor in Pancreatic adenocarcinoma (PAAD), KICH, kidney renal papillary cell carcinoma (KIRP), and kidney renal clear cell carcinoma (KIRC).
Conclusions:
BEX4, CAMSAP2, and MARCKS specifically express in microtubules, centrioles, and cytoskeletons, influencing tumor chromosome division and inducing aneuploidy. Additionally, the relationship between the acquisition of tumor cell stemness and the severity of aneuploidy varies significantly across tumor types, displaying positive and negative correlations.
Insights
Brain expressed X-linked gene 4 (BEX4) influences aneuploidy and stemness across cancers. Elevated BEX4 shows protective effects in several cancer types, impacting microtubule formation and chromosome division.
Area of Science:
- Oncology
- Genetics
- Cell Biology
Background:
- Aneuploidy is critical in cancer but its mechanisms, particularly involving brain expressed X-linked gene 4 (BEX4) and microtubule formation, are under-explored.
- The comprehensive role of BEX4 in aneuploidy across diverse cancer types remains largely uninvestigated.
Purpose of the Study:
- To investigate the role of BEX4 in aneuploidy across various cancer types.
- To identify aneuploidy-associated genes and characterize cancer subtypes based on aneuploid features.
- To explore the relationship between aneuploidy, tumor cell stemness, and immune traits.
Main Methods:
- Stratified The Cancer Genome Atlas (TCGA) patients into high- and low-aneuploidy score groups.
- Utilized Mfuzz for gene expression clustering and functional enrichment analysis centered on BEX4.
- Employed machine learning for aneuploidy gene screening, established cancer subtypes, and integrated stemness and immune data.
Main Results:
- Aneuploidy and stemness showed significant associations in kidney chromophobe (KICH) and thyroid carcinoma (THCA), with cell metabolism and cell cycle being key factors.
- Identified BEX4, CAMSAP2, and MARCKS as hub genes in aneuploidy, forming a BEX4-centered gene set and a Nomogram model.
- Elevated BEX4 demonstrated a protective role in pancreatic adenocarcinoma (PAAD), KICH, KIRP, and KIRC, while ceRNA networks revealed regulation of microtubule dynamics.
Conclusions:
- BEX4, CAMSAP2, and MARCKS are key players in microtubule and cytoskeleton function, influencing chromosome division and aneuploidy.
- The interplay between tumor cell stemness and aneuploidy severity is variable across cancer types, exhibiting both positive and negative correlations.
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