title: Identifying the association rules between clinicopathologic factors and higher survival performance in operation-centric oral cancer patients using the Apriori algorithm.
abstract: This study computationally determines the contribution of clinicopathologic factors correlated with 5-year survival in oral squamous cell carcinoma (OSCC) patients primarily treated by surgical operation (OP) followed by other treatments. From 2004 to 2010, the program enrolled 493 OSCC patients at the Kaohsiung Medical Hospital University. The clinicopathologic records were retrospectively reviewed and compared for survival analysis. The Apriori algorithm was applied to mine the association rules between these factors and improved survival. Univariate analysis of demographic data showed that grade/differentiation, clinical tumor size, pathology tumor size, and OP grouping were associated with survival longer than 36 months. Using the Apriori algorithm, multivariate correlation analysis identified the factors that coexistently provide good survival rates with higher lift values, such as grade/differentiation = 2, clinical stage group = early, primary site = tongue, and group = OP. Without the OP, the lift values are lower. In conclusion, this hospital-based analysis suggests that early OP and other treatments starting from OP are the key to improving the survival of OSCC patients, especially for early stage tongue cancer with moderate differentiation, having a better survival (>36 months) with varied OP approaches.
authors.affiliation: Department of Radiation Oncology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
authors.forename: Jen-Yang
authors.initials: JY
authors.lastname: Tang
authors.forename: Li-Yeh
authors.initials: LY
authors.lastname: Chuang
authors.forename: Edward
authors.initials: E
authors.lastname: Hsi
authors.forename: Yu-Da
authors.initials: YD
authors.lastname: Lin
authors.forename: Cheng-Hong
authors.initials: CH
authors.lastname: Yang
authors.forename: Hsueh-Wei
authors.initials: HW
authors.lastname: Chang
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D002294:Carcinoma, Squamous Cell / Q000473:pathology / Q000601:surgery; D057225:Data Mining; D003710:Demography; D006801:Humans; D008198:Lymph Nodes / Q000473:pathology; D008875:Middle Aged; D009062:Mouth Neoplasms / Q000473:pathology* / Q000601:surgery*; D009367:Neoplasm Staging; D016019:Survival Analysis