Associations of AminoIndex Cancer Screening (Breast) Grade with Clinical and Laboratory Variables

Abstract

Background: Altered metabolism in the blood of cancer patients is closely related to changes in amino acids. Amino acids play an important physiological role as essential metabolites and regulators thereof. AminoIndex™ Cancer Screening (AICS) was developed to screen for seven cancer types, including breast cancer, through multivariate analysis of plasma-free amino acid profiles. Methods:To examine the clinical significance of AICS (breast), we retrospectively analyzed the relationships between AICS (breast) scores and inspection items in 390 individuals who underwent the AICS (breast) test. The mean age of the participants was 50.7 years (range: 26-87 years), and all were females.Results: AICS (breast) grades A-C were found in 250 (64.1%), 90 (23.1%), and 50 (12.8%) participants, respectively. AICS (breast) was significantly correlated with AICS (gastric) (r = 0.487, p < 0.0001) and AICS (lung) (r = 0.523, p < 0.0001). Multivariate linear regression analysis did not reveal any significant differences among AICS (breast) grades in terms of age, body mass index, eGFR, dyslipidemia, and blood pressure.However, the neutrophil-to-lymphocyte ratio was significantly different among the AICS (breast) grades at a cut-off value of 1.7 (p = 0.030), although the number of cases in the analysis decreased to 72.

The Role of Amino Acids in the Diagnosis, Risk Assessment, and Treatment of Breast Cancer: A Review

“…The AminoIndex Cancer Screening (AICS) technology has been described and used as a new cancer risk calculation method for early cancer diagnosis [ 34 , 49 , 103 , 104 , 105 ]. AICS (breast) detects breast cancer by detecting abnormal plasma concentrations of Thr, Ala, Orn, His, and Trp [ 106 ]. In breast cancer, the Thr, Ala, and Orn concentrations are elevated, while the His and Trp concentrations are reduced, and a multivariate analysis shows an overall accuracy of 88.2% [ 107 ].…”