The ALDH2, IGSF9, and PRDM16 Proteins as Predictive Biomarkers for Prognosis in Breast Cancer.

Introduction: ALDH2, IGSF9, and PRDM16 play crucial roles in regulating diverse cellular pathophysiologic functions. The current study was to evaluate the effect of the 3 proteins on clinicopathologic features and prognosis of patients with breast cancer.

Materials And Methods: The formalin-fixed and paraffin-embedded tissue specimens were collected from breast cancer patients by immunohistochemistry (IHC) were analyzed.

Results: Of the 216 patients enrolled, ALDH2 high expression was significantly correlated with the age (p = .040), larger tumor size (p = .001), LVI (p < .001), LNM (p < .001), advanced TNM staging (p < .001), PR (p = .027), HER2 status (p = .002), and molecular subtype (p = .003). IGSF9 low expression was significantly correlated with the LV1 (p = .024), LNM (p = .024), advanced TNM staging (p = .001). The low expression of PRDM16 was significantly correlated with age (p = .023), and LNM (p = .014). The AIP expression (13.4%) were markedly correlated with lymphatic vessel invasion (LVI) (p < .001), lymph node metastasis (LNM) (p < .001), advanced TNM staging (p < .001). Furthermore, patients with AIP expression had significantly advanced-stage breast cancer [stage III (72.4%) vs. (23.0%)]. Univariate and multivariate analysis identified variables (ie, larger tumor size, lymph node involvement, and AIP expression) as independent prognostic factors for survival.

Conclusion: Our results reveal ALDH2 high expression, IGSF9 and PRDM16 low expression, AIP expression was associated with advanced clinicopathological characteristics, and shorter OS and DFS in breast cancer patients. The 3 proteins may be potential prognosis markers and therapeutic targets for breast cancer patients.