Metallomics study using hair mineral analysis and multiple logistic regression analysis: relationship between cancer and minerals

Abstract

Objectives The objective of this metallomics study is to investigate comprehensively some relationships between cancer risk and minerals, including essential and toxic metals. Methods Twenty-four minerals including essential and toxic metals in scalp hair samples from 124 solid-cancer patients and 86 control subjects were measured with inductively coupled plasma mass spectrometry (ICP-MS), and the association of cancer with minerals was statistically analyzed with multiple logistic regression analysis. Results Multiple logistic regression analysis demonstrated that several minerals are significantly correlated to cancer, positively or inversely. The most cancer-correlated mineral was iodine (I) with the highest correlation coefficient of r = 0.301, followed by arsenic (As; r = 0.267), zinc (Zn; r = 0.261), and sodium (Na; r = 0.190), with p \ 0.01 for each case. In contrast, selenium (Se) was inversely correlated to cancer (r = -0.161, p \ 0.05), followed by vanadium (V) (r = -0.128). Multiple linear regression value was highly significantly correlated with probability of cancer (R 2 = 0.437, p \ 0.0001), and the area under the receiver-operating characteristic (ROC) curve was calculated to be 0.918. In addition, using contingency table analysis and the chi-square test, the precision of discrimination for cancer was estimated to be 0.871 (chi-square = 99.1, p \ 0.0001). Conclusions These findings suggest that some minerals such as arsenic, selenium, and probably iodine, zinc, sodium, and vanadium contribute to regulation of cancer and also that metallomics study using multiple logistic regression analysis is a useful tool for estimating cancer risk.

Infantile zinc deficiency: Association with autism spectrum disorders

“…The control zinc reference range of 86.3–193 ppm, its geometric mean ± 2 S.D. level, obtained from the data for healthy 436 male subjects aged 21–40 year-old was close to that for healthy female adults, as previously reported171850, furthermore almost consisting with those reported by the other research groups101112. This control zinc reference range was also almost consistent with those for nutritionally controlled children13 and for the Vancouver preschoolers aged 2–5 year-old (N = 719)28, but somewhat different from the age-matched reference data for neurotypical control children in which the 11 % participants had been medicated as reviewed by Adams30.…”

“…Thus, clinical metallomics studies with reliable ICP-MS method have been tried for investigating some association of several diseases and symptoms with the dynamics of trace bio-elements such as toxic metals and essential minerals12131415161718.…”

Assessment of Infantile Mineral Imbalances in Autism Spectrum Disorders (ASDs)

“…Thus, the clinical application of reliable hair mineral analysis methods based on ICP-MS has been tried to investigate the association of some diseases/symptoms with trace bio-element kinetics including toxic metals and essential minerals [23,24,25,26,27,28]. …”

Trace Elements in the Hair of Hemodialysis Patients

“…Recently, the potential relationships between trace elements in the hair and various diseases, such as cancer [5][6][7], hypertension [8,9], myocardial infarction [10], and arterial stiffness [11], have been reported. Hair collection and storage are easier than blood collection, and the levels of some elements in the hair constantly reflect changes in longterm accumulation and/or exposure [12,13].…”