Abstract
A DO-UniBIC gene screening method was proposed. Firstly, Disease Ontology (DO) analysis was used to screen out breast cancer related genes from differentially expressed genes, and then UniBIC algorithm was used to find all gene clusters with the same changing trend based on the longest common subsequence. In addition, an eight-genes prognostic model was constructed to assess the prognostic risk of breast cancer patients. The prognostic analysis of the candidate gene set yielded eight genes that significantly related to the prognosis. The eight genes were ACSL1, CD24, EMP1, JPH3, CAMK4, JUN, S100B and TP53AIP1. Among them, ACSL1 was a new breast cancer potentially related gene screened by the DO-UniBIC method. More comprehensive cancer-related genes can be screened based on the DO-UniBIC method, which can be used as the candidate gene set for the prognostic analysis.
This research was supported by the Natural Science Foundation of Henan Province (No. 202300410093).
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Zhang, X., Hou, T., Zhang, F. (2021). Prognosis Analysis of Breast Cancer Based on DO-UniBIC Gene Screening Method. In: Xing, C., Fu, X., Zhang, Y., Zhang, G., Borjigin, C. (eds) Web Information Systems and Applications. WISA 2021. Lecture Notes in Computer Science(), vol 12999. Springer, Cham. https://doi.org/10.1007/978-3-030-87571-8_19
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