This is the third symposium on 'cancer and acupuncture and moxibustion'. Many physicians and intellectuals are skeptical of the use of Western medicine for cancer patients, which often lead to serious adverse events. Acupuncture and moxibustion, which is capable of improving quality of life (QOL) and activating immunity with minimal side effects is also expected to have beneficial effects on various stages of cancer patients, such as prevention of development or recurrence of cancer and palliative care. In fact, evidence has recently accumulated in the field. Dr. Fukuda, Associate Professor of Meiji University of Integrative Medicine, who reported the usefulness of acupuncture and moxibustion in palliative care in the first symposium and bibliographical information in the second has reported this time on the topic of safety and effectiveness of acupuncture on chemotherapy-induced peripheral neuropathy. Dr. Kurokawa from the National Defense Medical College reported the effectiveness of acupuncture on physical and psychological symptoms, QOL, prevention of adverse events, and pre-and post-operative disorders in cancer patients. Dr. Kouchi from Saitama Medical School reported on the usefulness of acupuncture in the university hospital and factors which influence the effect. Dr. Nakamura from Morinomiya University presented a case with chemotherapy-related symptoms who had been cared for with a long-term application of moxibustion. In contrast to these reports on the efficacy of the acupuncture for chemotherapy-and radiotherapy-induced side effects, Dr. Magara from Somon Hachipuji Clinic, who had consistently reported a preventive effect of autonomic immune therapy that involves acupuncture without Western clinical treatment from the first symposium, this time presented topics regarding improvement in the immunity by increasing various cytokines, the possibility of reduction of a tumor even in a case of advanced cancer that cannot be treated with a surgical approach, reduction of the recurrence rate among cases who were treated with his approach as compared with those under conventional approaches. He insisted we should concentrate our efforts on research on preventing the recurrence of cancer with approaches that activates the natural healing process of human beings.
We concluded that clinical trials with a larger sample are needed to clearly identify the usefulness of acupuncture and moxibustion for cancer patients.

OBJECTIVESThe objective of this metallomics study is to investigate comprehensively some relationships between cancer risk and minerals, including essential and toxic metals.

METHODSTwenty-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.

RESULTSMultiple 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).

CONCLUSIONSThese 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.