Machine Learning Reveals Aneuploidy Characteristics in Cancers: The Impact of BEX4
<i>BEX4</i>, <i>CAMSAP2</i>, and <i>MARCKS</i> 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.
Authors
- Zi-Jie Kan
- Tong Li (ORCID: https://orcid.org/0000-0002-9060-9076)
- Chao Zhang (ORCID: https://orcid.org/0000-0002-9891-0605)
- Wenkang Yuan
- Songlin Xing
- Aizhong Xu
- Zihao Wu (ORCID: https://orcid.org/0000-0003-0025-0934)
- Yujie Xia (ORCID: https://orcid.org/0000-0003-2309-8250)
- Bosen Zhang
- Jianjun Liu (ORCID: https://orcid.org/0000-0002-4707-378X)
- Tingting Shen (ORCID: https://orcid.org/0000-0002-8446-9978)
- Chong Zhang (ORCID: https://orcid.org/0009-0002-4785-4276)
- Anhai Yu
- Wenqi Yang (ORCID: https://orcid.org/0000-0002-2065-4461)
Institutions
- Anhui Medical University (CN)
- Anqing City Hospital (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- Frontiers in Bioscience-Landmark
- Published
- 2024-11-29
- DOI
- https://doi.org/10.31083/j.fbl2912407
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China