Development of A Cancer Risk Screening Method Based on Differences in The Balance of Trace Element Concentrations in The Blood Using ICP-MS with A Case-Control Study Approach: Metallo-Balance Method
Abstract
Cancer control is a pressing issue in many countries, and preventing cancer deaths through early detection and treatment is extremely important.
This study conducted a case-control study focusing on trace element concentrations in blood to develop a low-cost, highly accurate, and patient-friendly screening method. Serum samples were collected from 2,912 cancer patients and 5,814 members of the general population. A "risk diagnosis" method was developed using binary logistic regression analysis based on serum concentrations of 17 elements measured using ICP-MS. Efficacy was evaluated using sensitivity, specificity, and AUC. In addition, the incidence of cancer within one year after blood collection was investigated among 7,993 participants in the test period of this method and evaluated using positive predictive values.
The analysis results showed high sensitivity and specificity, with AUCs ranging from 0.737 to 0.993, indicating effective discrimination. Furthermore, the positive predicted values were higher than the theoretical predicted values for pancreatic and prostate cancer in men, and similar to the theoretical predicted values for stomach and colorectal cancer in women.
These results indicate that this method can predict "cancer risk" with high accuracy and is an effective tool for cancer detection.
How strong is the evidence?
Evidence Hub reads this as a case-control, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 7,993 participants or records.
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