Department of Radiation Oncology, Kayseri Education and Research Hospital, 38010, Kocasinan/Kayseri, Turkey.
Biol Trace Elem Res. 2011 Dec;144(1-3):272-94. doi: 10.1007/s12011-011-9086-x. Epub 2011 May 27.
Our work aimed at extending the search for the trace elements (TE) abnormalities in patients with lung cancer and in healthy controls who smoke, and also for evidence of a possible association between lung cancer and TE. The analysis of the hair from patients with Stage-IIIB non-small cell lung cancer (group 1) and healthy controls (group 2) were analyzed using the inductively coupled plasma mass spectrometry technique in order to obtain information on the correlation between the lung cancer patients and healthy controls. Sixty-seven one-hair samples in group 1 were individually collected before chemoradiotherapy. For comparison, 74 hair samples were collected from group 2. In group 1, the trace elements present at the highest levels were measured to be Ca, Zn, Sn, Na and Mg, respectively, and they were quantified as 68.2, 53.2, 33.9, 23.3, and 28.9 μg.kg(-1), respectively. In group 2, the trace elements present at the highest levels were Zn, Mg, Ca, Fe, and Se, respectively, and they were quantified as 109.7, 31.9, 30.8, 25.0, and 20.1 μg.kg(-1). In group 1, the highest levels of Ca, Sn, and Na were 2.03, 1.06, and 1.01 times higher, respectively, compared with group 2. In group 2, Zn, Mg, Fe, and Se were 2, 1.01, 2.7, and 1.6 times higher, respectively, compared with group 1. When the levels of trace elements were compared between groups 1 and 2 using Student's t test, the levels of Ag, Au, Be, Bi, Ca, Cd, Ce, Co, Cr, Cu, Fe, Ga, Hg, K, Ni, Rb, Rh, Sb, Sc, Ti, V, and Zn were found to be statistically different (p < 0.05). According to Pearson's correlation, the most powerful correlation was found for Cr-As (r = 0.858) couple in group 1 (r = 0.745) and for Mn-Cr couple in group 2. The factors obtained according to converted matrix were observed to be as follows: for group 1, first factor, ten variables (Cd, Li, Cs, Ag, Rb, Pd, Ga, Zn, Al, and K); second factor, seven variables (Cr, As, Sn, Co, Ca, Rh, and Fe) and third factor, four variables (Mn, Au, Cu, and Hg). Within the first factor that best describes the overall change, the most important variables are Cd and Li, respectively the first and the second factors. Group 2 contained the following: first factors, six variables, Cr, Mn, Al, Ba, Rb, and Pb; second factor, eight variables, Co, As, Sn, Cd, Hg, Cs, Ca, and Ce; third factor, five variables Na, Ga, Be, B, and Sr; and fourth factor, two variables K and Ag. First, second, third, and fourth factors explain the 36% of the overall change. Within the first factor that best described the overall change, the most important variables were Cr and Mn. In this analysis, we observed that the group 2 trace elements accumulated were heavy metals and that the control group showed both heavy metals and macroelements required for the body. The average trace elements levels in the two groups were evaluated. In addition, the general role of trace elements in the lung carcinogenic processes was discussed. The study revealed that the carcinogenic processes are significantly affecting the trace elements and the trace elements distribution in the hair of lung cancer patients compared with the healthy controls. It was revealed that there was a relation between lung cancer and trace elements, especially heavy metals. Our findings suggest that the heavy metals accumulated in the body may pose a high risk for lung cancer development.
我们的工作旨在扩展对肺癌患者和吸烟的健康对照者中微量元素异常的搜索,并寻找肺癌与微量元素之间可能存在关联的证据。使用电感耦合等离子体质谱技术分析来自非小细胞肺癌 IIIB 期患者(第 1 组)和健康对照者(第 2 组)的头发,以获得有关肺癌患者和健康对照者之间相关性的信息。第 1 组的 67 个单根头发样本在放化疗前单独采集。作为比较,从第 2 组采集了 74 个头发样本。在第 1 组中,检测到含量最高的微量元素分别为 Ca、Zn、Sn、Na 和 Mg,分别为 68.2、53.2、33.9、23.3 和 28.9μg.kg(-1)。在第 2 组中,含量最高的微量元素分别为 Zn、Mg、Ca、Fe 和 Se,分别为 109.7、31.9、30.8、25.0 和 20.1μg.kg(-1)。在第 1 组中,Ca、Sn 和 Na 的最高水平分别比第 2 组高 2.03、1.06 和 1.01 倍。在第 2 组中,Zn、Mg、Fe 和 Se 分别比第 1 组高 2、1.01、2.7 和 1.6 倍。当使用学生 t 检验比较第 1 组和第 2 组之间的微量元素水平时,发现 Ag、Au、Be、Bi、Ca、Cd、Ce、Co、Cr、Cu、Fe、Ga、Hg、K、Ni、Rb、Rh、Sb、Sc、Ti、V 和 Zn 的水平存在统计学差异(p<0.05)。根据 Pearson 相关性,在第 1 组(r=0.745)和第 2 组(r=0.858)中发现 Cr-As 对的相关性最强。观察到根据转换矩阵获得的因素如下:对于第 1 组,第一因子,十个变量(Cd、Li、Cs、Ag、Rb、Pd、Ga、Zn、Al 和 K);第二因子,七个变量(Cr、As、Sn、Co、Ca、Rh 和 Fe)和第三因子,四个变量(Mn、Au、Cu 和 Hg)。在第一因子中,最佳描述整体变化的变量是 Cd 和 Li,它们分别是第一和第二因子。第 2 组包含以下内容:第一因子,六个变量,Cr、Mn、Al、Ba、Rb 和 Pb;第二因子,八个变量,Co、As、Sn、Cd、Hg、Cs、Ca 和 Ce;第三因子,五个变量 Na、Ga、Be、B 和 Sr;第四因子,两个变量 K 和 Ag。第一、第二、第三和第四因子解释了总变化的 36%。在第一因子中,最佳描述整体变化的变量是 Cr 和 Mn。在这项分析中,我们观察到第 2 组积累的微量元素是重金属,而对照组显示了身体所需的重金属和宏量元素。评估了两组的平均微量元素水平。此外,还讨论了微量元素在肺癌致癌过程中的一般作用。研究表明,与健康对照组相比,致癌过程显著影响肺癌患者的微量元素和头发中微量元素的分布。结果表明,肺癌与微量元素之间存在关联,特别是与重金属之间存在关联。我们的研究结果表明,体内积累的重金属可能对肺癌的发展构成高风险。