Serum Concentrations of Selenium and Copper in Patients Diagnosed with Pancreatic Cancer

Marcin R. Lener; Rodney J. Scott; Anna Wiechowska-Kozłowska; Pablo Serrano-Fernández; Piotr Baszuk; Katarzyna Jaworska-Bieniek; Grzegorz Sukiennicki; Wojciech Marciniak; Magdalena Muszyńska; Józef Kładny; Tomasz Gromowski; Katarzyna Kaczmarek; Anna Jakubowska; Jan Lubiński

doi:10.4143/crt.2015.282

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Original Article Serum Concentrations of Selenium and Copper in Patients Diagnosed with Pancreatic Cancer: Marcin R. Lener, PhD^1,, Rodney J. Scott, PhD², Anna Wiechowska-Kozłowska, MD, PhD³, Pablo Serrano-Fernández, PhD¹, Piotr Baszuk, MSc¹, Katarzyna Jaworska-Bieniek, PhD¹, Grzegorz Sukiennicki, MSc¹, Wojciech Marciniak, MSc⁴, Magdalena Muszyńska, MSc⁴, Józef Kładny, MD, PhD⁵, Tomasz Gromowski, MSc¹, Katarzyna Kaczmarek, MSc¹, Anna Jakubowska, PhD¹, Jan Lubiński, MD, PhD^1,4; Cancer Research and Treatment : Official Journal of Korean Cancer Association 2016;48(3):1056-1064.
DOI: https://doi.org/10.4143/crt.2015.282
Published online: December 28, 2015

¹Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland

²Discipline of Medical Genetics, School of Biomedical Sciences, Faculty of Health, University of Newcastle and The Hunter Medical Research Institute, Newcastle, New South Wales, Australia

³Laboratory of Endoscopy, Division of Heath Care Ministry of Internal Affairs and Administration, Szczecin, Poland

⁴Read-Gene S.A., Grzepnica, Pomeranian Medical University, Szczecin, Poland

⁵Department of General and Oncological Surgery, Pomeranian Medical University, Szczecin, Poland

Correspondence: Marcin R. Lener, PhD Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Połabska 4, 70-115 Szczecin, Poland
Tel: 48-91-466-1532 Fax: 48-91-466-1533 E-mail: marcinlener@poczta.onet.pl

• Received: July 27, 2015 • Accepted: December 16, 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract

Purpose
Understanding of the etiology and pathogenesis of pancreatic cancer (PaCa) is still insufficient. This study evaluated the associations between concentrations of selenium (Se) and copper (Cu) in the serum of PaCa patients.
Materials and Methods
The study included 100 PaCa patients and 100 control subjects from the same geographical region in Poland. To determine the average concentration of Se, Cu, and ratio Cu:Se in the Polish population, assay for Se and Cu was performed in 480 healthy individuals. Serum levels of Se and Cu were measured using inductively coupled plasma mass spectrometry.
Results
In the control group, the average Se level was 76 µg/L and Cu 1,098 µg/L. The average Se level among PaCa patients was 60 µg/L and the mean Cu level was 1,432 µg/L. The threshold point at which any decrease in Se concentration was associated with PaCa was 67.45 µg/L. The threshold point of Cu level above which there was an increase in the prevalence of PaCa was 1,214.58 µg/L. In addition, a positive relationship was observed between increasing survival time and Se plasma level.
Conclusion
This retrospective study suggests that low levels of Se and high levels of Cu might influence development of PaCa and that higher levels of Se are associated with longer survival in patients with PaCa. The results suggest that determining the level of Se and Cu could be incorporated into a risk stratification scheme for the selection and surveillance control examination to complement existing screening and diagnostic procedures.
Key words: Selenium, Copper, Pancreatic neoplasms, Retrospective studies

Introduction

Pancreatic cancer (PaCa), the eighth most commonly diagnosed cancer in the developed world, has one of the worst prognoses of any malignancy with 98% succumbing to their disease within 5 years. Light is beginning to be shed on the underlying molecular events involved in development and progression of PaCa [1] but there is little information on the risk factors associated with disease.

Risk factors for PaCa include environmental exposure (such as cigarette smoking and excessive alcohol intake), type 2 diabetes (T2D) and genetic factors. Both smoking and T2D increase PaCa risk by about double [2-4]. Germline mutations in several genes: BRCA2, PALB2, CDKN2A, ATM, STK11, PRSS1, SPINK1, TP53, SMAD4, ARID1A, ROBO2, KDM6A, PREX2, and DNA mismatch repair have also been associated with an increased risk of disease [1,5]. In addition, two recently completed genome-wide association studies, PanScan1 and PanScan2, reported variants in ABO (rs505 922), 1q32.1 (rs3790844), 13q22.1 (rs9543325), and 5p15.3 (rs401681), which are associated with modestly increased risk of PaCa [6,7]. Familial associations of PaCa are rare and cannot account for the frequency of disease, although if three first-degree relatives are affected, disease risk can be increased over 30 times [8].

The important role of micronutrients in the pathogenesis of malignancy is not fully understood, but must include both selenium (Se) and copper (Cu). Both micronutrients are involved in many biochemical processes including cellular respiration, cellular utilization of oxygen, DNA and RNA production, maintenance of cell membrane integrity, and sequestration of free radicals [9]. In general, in relation to malignancy many studies suggest that Se supplementation can reduce not only the incidence of disease but also mortality [10]. Data from a meta-analysis of 49 prospective studies confirmed a reduction in cancer mortality, by 45% in persons with an optimized Se concentration [11].

The chemo-preventative benefit of Se may differ between individuals and the same dose may not be optimal for all. The preventative effect of Se supplementation strongly depends on the baseline levels of Se and is beneficial only for individuals with a low serum Se concentration. In terms of health benefit, the efficacy of Se is related to a “U” shaped curve [12]. Low levels of Se are associated with an increased risk of malignancy whereas too much (selenosis) is linked to an increased occurrence of common diseases, including T2D [13].

In cancer and inflammation, plasma Cu and ceruloplasmin concentrations rise and the rates of synthesis and secretion of ceruloplasmin by the liver are enhanced. The elevated ceruloplasmin concentrations in both of these conditions would provide additional Cu uptake by cells in normal tissues and as well as cancer cells. In addition, transcuprein (another Cu-binding protein) appears to be increased in malignancy. Ready uptake of Cu from non-ceruloplasmin fractions of plasma, which together account for the relatively high levels of Cu in tumor cells, has been demonstrated in neoplastic cells. Cu also plays a role in angiogenesis, a requirement for tumor growth, which may be mediated by Cu-dependent amine oxidases [14].

Higher Se levels were observed among healthy subjects both in regards to the patients with PaCa, and those with chronic pancreatitis. However, patients with chronic pancreatitis had higher serum Se levels compared with those observed in PaCa patients. Simultaneously an inverse observation was observed for serum Cu levels, where PaCa patients had the highest levels of serum Cu [15]. Taken together, this suggests that serum Se and Cu levels are required for the progression of pancreatic disease.

It has yet to be determined whether altered Se and Cu concentrations are the cause or effect of malignancy. Hence, the utility of serum Se and Cu evaluation for cancer prevention, detection, monitoring treATMent, and prognosis requires further investigation.

In the current study, we examined the levels of Se and Cu in PaCa patients and compared this to a healthy age-matched population from the same geographical region in Poland.

Materials and Methods

1. Study participants

A total of 100 PaCa patients and 100 aged-matched healthy control subjects were enrolled in the study after providing informed consent. Patients with clinically advanced PaCa were diagnosed and enrolled in the study at the Hospital of the Ministry of Internal Affairs and Administration in Szczecin between February 2011 and October 2014. For each PaCa patient included an unaffected individual registered at the International Hereditary Cancer Center, Pomeranian Medical University of Szczecin, was included as a control subject. Control subjects were part of a population-based study of the 1.3 million inhabitants of Poland designed to identify familial aggregations of cancer conducted by our center. Participants were matched for year of birth (±3 years), sex, smoking status (expressed in pack-years), and the total number of PaCa and any other malignancies among first degree relatives. All patients had a histopathological diagnosis of PaCa. The characteristics of the individuals included in the study are shown in Table 1. In addition, to determine the average concentration of Se, Cu, and ratio of copper to selenium levels (Cu:Se) in the Polish population, 480 healthy individuals were assayed for Se and Cu. The study was conducted in accordance with the Declaration of Helsinki and all participants signed an informed consent document prior to donating a blood sample. The study was approved by the Ethics Committee of Pomeranian Medical University in Szczecin under the number KB-0012/73/10. Each person enrolled in the study donated ~10 blood for sufficient serum for isolation and examination for the elements Se and Cu and ~10 mL ethylenediaminetetraacetic acid blood for DNA isolation and for performance of genotyping. None of the study participants were taking any dietary supplements and donated to research while in the fasted state.

2. Measurement of Se and Cu level

The levels of Se and Cu in the serum were determined by Inductively Coupled Plasma Mass Spectrometry (ICP-MS, Elan DRC-e, PerkinElmer, Wellesley, MA). To validate the measurements a reference solution ("Seronorm" Serum Control for trace elements level I ClinCheck, Recipe) was measured every six samples in order to maintain the sensitivity and specificity of the assays. Cases and control subjects were tested alternately. The mean drift was used as a correction value for the samples, whereas a measured drift larger than 5% from the reference material caused recalibration of the device and re-measurement of the previous samples. A calibration curve was prepared using standard grade purity multi-element ICP-MS at a concentration of 1,000 μg/L (PerkinElmer). The pattern to working concentration (100 μg/L) was diluted with 1% nitric acid solution purity class Suprapur (Merck, Darmstadt, Germany) prepared in ultrapure deionized water with a resistance of > 18 M. The working solution standard serial dilution was then performed, which provided the reagents for use in performance of the calibration at 0.1, 1, 5, and 10 μg/L (for measurement of Se) and 0.1, 1, 5, 10, 100, and 200 μg/L (measured Cu). The correlation coefficient for each curve was ≥ 0.999. Test samples and reference materials were prepared immediately before measurement. Samples were diluted 100-fold, using a 1% solution of Suprapur (Merck). Nitric acid was prepared in ultrapure deionized water with a resistance of > 18 M.

3. Statistical analysis

The association between different categorical levels of Se, Cu, and disease status were evaluated by estimating odds ratios (OR) with 95% confidence intervals (CI) from 2-by-2 contingency tables. The Fisher exact test was applied to determine whether or not the differences in proportions were statistically significant. For these estimates, individuals were assigned to one of four categories, based on the distribution of microelement levels in both tested groups, corresponding to quartiles. The reference quartile category was that which included the largest number of controls, analogous to the standard procedure.

In addition, to improve the degree of detail, ORs were calculated and displayed graphically using a standard sliding windows approach. Overlapping windows (smoothing factor, 30 observations) slide over the range of microelement levels and OR was calculated for each one separately taking the expected proportion of controls and cases (1:1) as a reference and comparing with the observed proportion. A Lowess-regression was applied to these calculated data points to estimate the underlying PaCa incidence curve. If the OR could not be estimated (e.g., for the highest proportions of Cu to Se, where there are no controls, just cases, for the overlapping windows) OR was conservatively estimated to be the same as the last calculated OR. Such ORs were marked with a black/grey color to avoid confusion. The potential association between Se levels and survival time was assessed following a generalized linear model, where the covariates age, sex, pack-years and survival status were used for adjustment. Due to the limited sample size, interaction effects were not considered. All calculations were performed using R for Statistical Computing (ver. 3.2.0).

Results

Se and Cu were assayed in serum samples taken from patients and control subjects. All micronutrient concentrations are reported as μg/L. Among the control group the average Se level was 76 μg/L (range, 43 to 110 μg/L); Cu, 1,098 μg/L (range, 695 to 1,683 μg/L). The mean Se level among PaCa patients was 60 μg/L (range, 29 to 122 μg/L) and the mean Cu level was 1,432 μg/L (range, 764 to 2,901 μg/L). In the PaCa group, the mean serum Se level was 59 μg/L for women (range, 29 to 88 μg/L), 61 μg/L for men (range, 33 to 122 μg/L) and Cu level was 1,524 μg/L for women (range, 858 to 2,901 μg/L) and 1,369 μg/L for men (range, 764 to 2,449 μg/L). The average Se level among the group of healthy participants analyzed was 77 μg/L for women (range, 43 to 110 μg/L), 75 μg/L for men (range, 45 to 103 μg/L) and mean Cu level was 1,206 μg/L for women (range, 695 to 1,683 μg/L) and 1,039 μg/L for men (range, 740 to 1,421 μg/L). The average concentration of Se in the 480 individuals included in this study was 76 μg/L (range, 42 to 162 μg/L) and Cu level was 1,128 μg/L (range, 605 to 1,972 μg/L).

1. Se levels in PaCa patients compared to control subjects

When the results were split into quartiles, a significant difference in the frequency of low Se level was observed in the PaCa group compared to the matched control subjects and inversely at the highest levels of Se the control group was significantly different compared to the PaCa patient group (Table 2, Fig. 1). The threshold point of Se concentration was 67,45 μg/L below which an increase in PaCa incidence was observed, the lower levels of Se being associated with greater risk of being diagnosed with PaCa. Comparison of the levels of Se in each quartile showed an association of low serum Se levels with an increased incidence of PaCa. Statistically significant differences in Se concentration were observed in comparison of the quartiles with the lowest serum Se levels (I, II) to the quartile with the largest number of healthy individuals (IV) (OR, 41; p < 0.0001 and OR, 8,099; p < 0.0001, respectively).

2. Cu levels in PaCa patients compared to control subjects

A significant difference was observed between the concentration of Cu in PaCa patients compared to control subjects. When divided into quartiles an unequivocal relationship between high Cu levels and disease was observed whereas few PaCa patients presented with low Cu values. In comparison of the quartiles with the highest concentrations of the Cu ranges (III, IV) with the serum Cu value in the lowest category, a significant increase in the presence of PaCa was observed (OR, 4.896; p=0.0004 and OR, 26; p < 0.0001, respectively) (Table 3, Fig. 2). The threshold point of Cu concentration was 1,214.58 μg/L for an increase in PaCa incidence, the higher levels of Cu being associated with greater risk of being diagnosed with PaCa. There were also a substantial proportion of patients with average to above average levels of Cu.

3. Cu:Se ratio in PaCa patients compared to control subjects

Given that the most significant results were observed for Se, followed by Cu, we decided to investigate whether there was any relationship between lower levels of anti-oxidant Se compared to higher levels of Cu by examining the Cu:Se. The average ratios for Cu:Se assessed from cohorts of 480 participants was 15.01 (range, 7.23 to 34.19).

Examination of the ratio of Cu:Se showed a much stronger association between patients with PaCa compared to control subjects (Fig. 3). To determine the effect of high Cu:Se ratio we used the population average for each element as a cut-off. Anything greater than the population average was considered to be associated with disease and anything lower was not. With an increasing Cu:Se ratio we did observe a greater degree of PaCa incidence compared to the lowest quartile (OR, 3.143; p=0.0479; OR, 10,127; p < 0.0001; and OR, 691.46; p < 0.0001) (Table 4). The threshold point of the Cu:Se was 17.97 (Fig. 3) for an increase in cancer occurrence. The greater the ratio of the two micronutrients the greater the probability of being diagnosed with PaCa.

4. Prognosis of PaCa patients appears dependent on serum Se concentration

The average time of survival in the study group of 100 patients with PaCa amounted to 9 months (range, < 1 months to > 60 months). In patients with PaCa in the low range of concentrations of Se (average, < 63.67 μg/L), the median survival time was 6 months, while in patients with higher levels of Se in the blood (average, > 63.67 μg/L), the median survival time was 11 months. There appears to be a positive relationship between increasing survival time and Se concentration as depicted by the regression lines, but the observation was not statistically significant (generalized linear model adjusted for age, sex, pack-years, and survival status, p=0.0820) (Fig. 4).

Discussion

The relationship between reactive oxygen species (ROS) and disease is well established and the role of Se is recognized as one of the more important micronutrients in the amelioration of ROS. Systematic studies aimed at understanding the protective effects of anti-oxidants in disease, including PaCa, have been conducted, as this is an attractive model in terms of pointing towards agents that can be administered safely to reduce disease development and/or progression.

Examination of Cu and particularly Cu:Se ratio in patients with PaCa revealed some surprising results. The data presented herein indicate that higher Cu levels are significantly more common in patients with PaCa compared to healthy age-matched control subjects. A recent genome-wide association study demonstrated an unequivocal association of SELENBP1 (selenium binding protein 1, a key protein involved in blood Cu metabolism), with Se metabolism, however it has not been associated with other trace elements [16]. The result of this study suggests that there is a relationship between Cu and Se, the precise nature of which remains to be described. For consideration of any potential relationship between Cu, Se, and PaCa, we examined the ratio of Cu:Se and found an even greater association between higher Cu to Se ratios and cancer than that observed for only higher Cu levels. This result suggests that there is an association between Cu and Se which may be mediated by the protein product of SELENBP1. Currently little is known about this protein and it awaits further characterization of its role beyond Se binding.

In general, little is known about the interaction between Se and Cu at the molecular level. Perhaps common ground in the relationship between the two trace elements is the interaction between the changes among the so-called oxidative stress genes, proteins encoded by them and trace elements such as Cu, Se, or Zn. Overproduction of reactive oxygen and nitrogen species and oxidative stress have been implicated in the pathogenesis of PaCa [17]. Reactive oxygen and nitrogen species are generated during endogenous oxidative stress that is linked to the pancreatic renin-angiotensin system [18] or exogenous oxidative stress caused by environmental or lifestyle-related xenobiotics, which is allied with the detoxification system [19].

The inverse association between Se concentration and PaCa incidence is well established [20] and suggests that Se plays a significant role in ameliorating the effects of ROS. The results of studies conducted in Spain on a patient group of similar size (n=118) showed an association of high concentrations of toenail Se with the occurrence of exocrine PaCa (OR, 0.05; 95% CI, 0.02 to 0.15; p(trend)=8×10(-11)) [20]. The association between PaCa and serum Se was also observed in an earlier small study (22 cases of PaCa, 44 matched controls) conducted in the United States. In this report, the association between incidence of PaCa and serum Se levels was significant when the data were analyzed as a whole, but its effect was observed principally in men (OR, 12.5; 95% CI, 1.78 to 84.0) and almost none among the women (OR, 1.2; CI, 0.56 to 2.53). Lower mean serum levels of Se were observed in cases (1.29±0.04 μmol/L) than in control subjects (1.42±0.03 μmol/L) and this difference was significant (0.01 < p < 0.025) [21]. A non-significant difference in serum Se level was observed in an Iranian study conducted among 80 PaCa patients (cases, 9.25 μg/dL; controls, 10.06 μg/dL) [22]. Our results are consistent with the observation that a low level of Se is a characteristic of patients with PaCa.

The role of Se in protecting against other diseases of the pancreas remains controversial with some studies suggesting a protective effect and others suggest at best no effect and possibly an increased risk of disease [13]. Of note, in many studies conducted outside of Poland there are relatively high base-line levels of Se, which may render any supplementation at best useless but more likely harmful.

Particularly intriguing is our finding that high Cu levels appear to be associated with PaCa. This finding, which is inversely related to Se levels, suggests that high Cu:Se ratios may result in higher levels of ROS that impact on the risk of developing and/or progression of PaCa. Cu is associated with ROS production [23] and Se, as a selenoprotein, acts to mitigate the effects of excessive ROS. Given that the Cu:Se was consistently greater in PaCa patients compared to age-matched control subjects suggests that the Cu:Se may be associated with high levels of ROS exposure that predispose susceptible patients to the development and/or progression of disease. This evidence ties in with recent studies examining the mutational landscape in PaCa, where there appears to be a breakdown in DNA repair making pancreatic cells exquisitely sensitive to DNA damaging agents, particularly ROS [1].

So far, a statistically significant increase in serum Cu level among patients suffering from PaCa was reported in a case-control study conducted among 50 PaCa patients with Greek origin. In this study, the average serum Cu level among 32 male PaCa patients was 171 g/100 mL and 137 g/100 mL among 34 healthy men. Among 18 women with PaCa the average serum Cu level was 165 g/100 mL and 137 g/100 mL among 29 healthy women [24]. In these studies, the authors probably rightly point to the potential diagnostic value of this observation. A non-significant difference in serum Cu levels (cases, 87.14 μg/dL; controls, 91.17 μg/dL) was observed in an Iranian study conducted among 80 PaCa individuals with PaCa and group of 100 healthy participants [22]. In light of our observations, the results suggest that determination of both the level of Se and Cu could be a good supplementary laboratory test for the current diagnosis of PaCa. This report also shows a high serum Cu level as a potential factor in development and/or progression of PaCa in the Polish population.

Thus far, one prospective study showed an association of high levels of Se, vitamins C and E with a reduced risk of PaCa (HR, 0.33; p < 0.05). This prospective study demonstrated that higher intakes of Se (and vitamin E), reduced the risk of PaCa by at least 40% [25].

Low levels of Se and high levels of Cu observed in our retrospective study of samples of PaCa patients cannot be treated as a marker for the risk of PaCa. When the serum Se level is examined in patients with newly diagnosed cancers the results can be influenced by the tumor itself. Therefore, retrospective case-control studies are not suitable to conclude that low Se levels are the cause of disease, although such studies can be valuable in determining whether Se levels may be used as a useful marker in the selection of patients for disease surveillance. The level of these micronutrients should rather be regarded as PaCa patients’ lab status not the causal explanation for cancer development. As we observed, a low level of Se/high Cu in patients with PaCa can be considered as a potential diagnostic marker indicative of the neoplastic process and not as a risk marker or a direct cause of cancer. However, it cannot exclude the possibility that micronutrients (Se, Cu) lab status of PaCa patients may affect the development of PaCa. In our study, we observed a longer survival (on the border of statistical significance) for patients with PaCa and a high level of Se compared to subjects with cancer of the pancreas and low level of Se (medium, 11 months vs. 6 months). Therefore, it cannot be excluded that the level of Se may be a prognostic marker in PaCa. The level of Se was far from optimal among the PaCa patients we examined, however, a longer survival time was observed even in patients whose levels of Se showed higher values. This observation must be verified in a larger series of PaCa cases, but if related to the results of prospective studies, it is not surprising. Data from meta-analysis of 49 prospective studies have also confirmed a reduction in cancer mortality by 45% in persons with an optimized Se concentration [11]. In our retrospective study, we observed that PaCa prolonged survival only in patients with higher levels of Se, but this observation is part of an overall favorable view of the importance of Se in the prevention of cancer in general. However, these data can suggest the potentially preferred meaning of chemoprevention of Se in populations with low levels of Se, which include the Polish population (mean level of Se in serum 70 μg/L).

There are several limitations to our study. Perhaps the most important limitation of our case-control study is that the Se and Cu and copper measurements for cases were made after the diagnosis of PaCa, although before therapy. It is possible that the low levels of Se and high levels of Cu detected could be a consequence of disease. If this is the case, then a low Se/high Cu level could potentially be a marker of progression rather than just a risk factor. The sample size in our study is relatively small but the associations for Se and Cu levels were strong and highly significant. The cases and controls were matched for smoking status and it is therefore unlikely that the association could be confounded by smoking, but it is possible that another confounding variable could introduce bias. Se levels could be affected by arsenic level, which is known to be present in cigarette smoke. However, since the cases have been matched with controls for smoking status (expressed in pack-years) and the arsenic content of the cigarettes is controlled by World Health Organization (WHO) guidelines, the effects have been mitigated as much as possible.

Conclusion

This retrospective study suggests that low levels of Se and high levels of Cu may affect PaCa development. The results of our retrospective study support an inverse association of lower levels of Se and an increased probability of PaCa and indicate an association between higher serum Cu levels with disease. The determination of Se and Cu in the blood serum can complement conventional procedures used in diagnosis of PaCa as an additional laboratory marker. In addition, it appears that a higher level of Se is associated with longer survival in patients with PaCa. While our findings need to be replicated in other independent studies, they suggest a role of Se and Cu as markers in diagnosis of PaCa and possible development. Unquestionably, prospective cohort studies will be required to elucidate the use of Se and Cu measurements as markers of risk of PaCas. Currently it seems that determining the level of Se and Cu can be a marker for selection for control examinations in surveillance as a valuable complement to existing diagnostic procedures.

NOTES

Conflict of interest relevant to this article was not reported.

Acknowledgements

Authors thank Ms. Ewa Putresza for excellent technical assistance. This work was supported in part by National Science Centre (NCN) grant UMO-2011/03/N/NZ2/01539, part-financed by own funds of Read-Gene S.A. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Fig. 1.

The probability curve of developing pancreatic cancer (odds ratio) for selenium levels (μg/L) shown for a sliding window approach (window size, 30 observations). Values above that line indicate an increased probability, values below indicate a decreased probability of developing pancreatic cancer. The reference proportion is 1:1 for the whole series (odds ratio 1, dotted grey line). A Lowess-regression was applied to these calculated data points to estimate the underlying probability curve. Note that the odds ratio scale is not proportional: e.g., a 10-fold increased probability of developing pancreatic cancer corresponds to odds ratio 10, while a 10-fold decreased probability corresponds to odds ratio 0.1.

Fig. 2.

The probability curve of developing pancreatic cancer (odds ratio) for copper levels (μg/L) shown for a sliding window approach (window size, 30 observations). Values above that line indicate an increased probability, values below indicated a decreased probability of developing pancreatic cancer. The reference proportion is 1:1 for the whole series (odds ratio 1, dotted grey line). A Lowess-regression was applied to these calculated data points to estimate the underlying probability curve. Note that the odds ratio scale is not proportional: e.g., a 10-fold increased probability of developing pancreatic cancer corresponds to odds ratio 10, while a 10-fold decreased probability corresponds to odds ratio 0.1.

Fig. 3.

The probability curve of developing pancreatic cancer (odds ratio) for the ratio of copper to selenium levels shown for a sliding window approach (window size: 30 observations). Values above that line indicate an increased probability, values below indicate a decrease probability of developing pancreatic cancer. The reference proportion is 1:1 for the whole series (odds ratio 1, dotted grey line). A lowess-regreesion was applied to these calculated data points to estimate the underlying probability curve. Note that the odds ratio scale is not proportional: e.g., a 10-fold increased probability of developing pancreatic cancer corresponds to odds ratio 10, while a 10-fold decreased probability corresponds to odds ratio 0.1. For highest proportions of copper to selenium, where there are no controls, just cases, for the overlapping windows odds ratio was conservatively estimated to be the same as the last calculated odds ratio. Such odds ratios were marked with a grey color in the graphic to avoid confusion.

Fig. 4.

The relationship between survival time and selenium (Se) blood plasma level among pancreatic cancer patients (separated for patients still alive and already deceased) is depicted as two regression lines (with confidence intervals shown in gray). Higher Se values seem to be associated with increasing survival time; however, this association is not significant (generalized linear model adjusted for age, sex, pack-years, and survival status, p=0.0820).

Table 1.

Characteristics of individuals for pancreatic cancer study

Characteristic	Case (n=100)	Control (n=100)
Birth year range	1930-1976	1928-1978
Age at sample, mean (range, yr)	63.40 (35-84)	63.45 (33-85)
Sex
Male	59	59
Female	41	41
First-degree relatives
With pancreatic cancer	4	4
Another cancer site	43	43
Smoking status
Smoker	27	73
Non-smoker	27	73
Pack-years, mean (range)	28.99 (2-50)	26.14 (2-50)

Table 2.

Serum selenium (Se) levels and the frequency of pancreatic cancer

Quartile	Se level (Jg/L)	Case	Control	OR	p-value	95% CI
I	29.87-56.20	45	5	41	< 0.0001	12.693-132.44
II	56.52-69.12	32	18	8.099	< 0.0001	3.214-20.411
III	69.26-79.36	14	36	1.772	0.3421	0.6853-4.580
IV	79.43-122.46	9	41	1	-	-

OR, odds ratio; CI, confidence interval.

Table 3.

Incidence of the PaCa and serum copper (Cu) levels in analyzed quartiles

Quartile	Cu level (Mg/L)	Case	Control	OR	p-value	95% CI
I	101.97-1,025.88	11	39	1	-	-
II	1,027.88-1,182.28	16	34	1.668	0.3678	0.681-4.084
III	1,187.60-1,448.68	29	21	4.896	0.0004	2.043-11.731
IV	1,453.79-2,901.35	44	6	26	< 0.0001	8.791-76.897

PaCa, pancreatic cancer; OR, odds ratio; CI, confidence interval.

Table 4.

Cu:Se ratio and incidence of PaCa

Quartile	Cu:Se ratio	Case	Control	OR	p-value	95% CI
I	1.51-14.05	6	44	1	-	-
II	14.06-16.72	15	35	3.143	0.0479	1.104-8.945
III	16.79-24.20	29	21	10.127	< 0.0001	3.646-28.126
IV	24.44-56.55	50	0	691.46	< 0.0001	37.847-12,633

Cu:Se, ratio of copper to selenium levels; PaCa, pancreatic cancer; OR, odds ratio; CI, confidence interval.

REFERENCES

1. Waddell N, Pajic M, Patch AM, Chang DK, Kassahn KS, Bailey P, et al. Whole genomes redefine the mutational landscape of pancreatic cancer. Nature. 2015;518:495–501. Article PubMed PMC
2. Silverman DT, Dunn JA, Hoover RN, Schiffman M, Lillemoe KD, Schoenberg JB, et al. Cigarette smoking and pancreas cancer: a case-control study based on direct interviews. J Natl Cancer Inst. 1994;86:1510–6. Article PubMed
3. Li D, Xie K, Wolff R, Abbruzzese JL. Pancreatic cancer. Lancet. 2004;363:1049–57. Article PubMed
4. Goggins M, Schutte M, Lu J, Moskaluk CA, Weinstein CL, Petersen GM, et al. Germline BRCA2 gene mutations in patients with apparently sporadic pancreatic carcinomas. Cancer Res. 1996;56:5360–4. PubMed
5. Klein AP, Lindstrom S, Mendelsohn JB, Steplowski E, Arslan AA, Bueno-de-Mesquita HB, et al. An absolute risk model to identify individuals at elevated risk for pancreatic cancer in the general population. PLoS One. 2013;8:e72311Article PubMed PMC
6. Amundadottir L, Kraft P, Stolzenberg-Solomon RZ, Fuchs CS, Petersen GM, Arslan AA, et al. Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer. Nat Genet. 2009;41:986–90. Article PubMed PMC
7. Petersen GM, Amundadottir L, Fuchs CS, Kraf P, Stolzenberg-Solomon RZ, Jacobs KB, et al. A genome-wide association study identifies pancreatic cancer susceptibility loci on chromosomes 13q22.1, 1q32.1 and 5p15.33. Nat Genet. 2010;42:224–8. Article PubMed PMC
8. Klein AP, Brune KA, Petersen GM, Goggins M, Tersmette AC, Offerhaus GJ, et al. Prospective risk of pancreatic cancer in familial pancreatic cancer kindreds. Cancer Res. 2004;64:2634–8. Article PubMed
9. Chan S, Gerson B, Subramaniam S. The role of copper, molybdenum, selenium, and zinc in nutrition and health. Clin Lab Med. 1998;18:673–85. Article PubMed
10. Duffield-Lillico AJ, Reid ME, Turnbull BW, Combs Gf Jr, Slate EH, Fischbach LA, et al. Baseline characteristics and the effect of selenium supplementation on cancer incidence in a randomized clinical trial: a summary report of the Nutritional Prevention of Cancer Trial. Cancer Epidemiol Biomarkers Prev. 2002;11:630–9. PubMed
11. Dennert G, Zwahlen M, Brinkman M, Vinceti M, Zeegers MP, Horneber M. Selenium for preventing cancer. Cochrane Database Syst Rev. 2011;(5):CD005195Article
12. Rayman MP. Selenium and human health. Lancet. 2012;379:1256–68. Article PubMed
13. Rayman MP, Stranges S. Epidemiology of selenium and type 2 diabetes: can we make sense of it? Free Radic Biol Med. 2013;65:1557–64. Article PubMed
14. Linder MC, Hazegh-Azam M. Copper biochemistry and molecular biology. Am J Clin Nutr. 1996;63:797S–811S. Article PubMed
15. Kodydkova J, Vavrova L, Stankova B, Macasek J, Krechler T, Zak A. Antioxidant status and oxidative stress markers in pancreatic cancer and chronic pancreatitis. Pancreas. 2013;(42):614–21. Article PubMed
16. Evans DM, Zhu G, Dy V, Heath AC, Madden PA, Kemp JP, et al. Genome-wide association study identifies loci affecting blood copper, selenium and zinc. Hum Mol Genet. 2013;(22):3998–4006. Article PubMed PMC
17. Leung PS, Chan YC. Role of oxidative stress in pancreatic inflammation. Antioxid Redox Signal. 2009;11:135–65. Article PubMed
18. Skipworth JR, Szabadkai G, Olde Damink SW, Leung PS, Humphries SE, Montgomery HE. Review article: pancreatic renin-angiotensin systems in health and disease. Aliment Pharmacol Ther. 2011;34:840–52. Article PubMed
19. Tandon RK, Garg PK. Oxidative stress in chronic pancreatitis: pathophysiological relevance and management. Antioxid Redox Signal. 2011;15:2757–66. Article PubMed
20. Amaral AF, Porta M, Silverman DT, Milne RL, Kogevinas M, Rothman N, et al. Pancreatic cancer risk and levels of trace elements. Gut. 2012;61:1583–8. Article PubMed PMC
21. Burney PG, Comstock GW, Morris JS. Serologic precursors of cancer: serum micronutrients and the subsequent risk of pancreatic cancer. Am J Clin Nutr. 1989;49:895–900. Article PubMed
22. Farzin L, Moassesi ME, Sajadi F, Faghih MA. Evaluation of trace elements in pancreatic cancer patients in Iran. Middle East J Cancer. 2013;4:79–86.
23. Bandyopadhyay U, Das D, Banerjee RK. Reactive oxygen species: oxidative damage and pathogenesis. Curr Sci. 1999;77:658–66.
24. Manousos O, Trichopoulos D, Koutselinis A, Papadimitriou C, Polychronopoulou A, Zavitsanos X. Epidemiologic characteristics and trace elements in pancreatic cancer in Greece. Cancer Detect Prev. 1981;4:439–42. PubMed
25. Banim PJ, Luben R, McTaggart A, Welch A, Wareham N, Khaw KT, et al. Dietary antioxidants and the aetiology of pancreatic cancer: a cohort study using data from food diaries and biomarkers. Gut. 2013;62:1489–96. Article PubMed

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REFERENCES

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Citations to this article as recorded by

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Current Oncology.2023; 30(2): 1648. CrossRef
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Frontiers in Oncology.2023;[Epub] CrossRef
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Nutrients.2023; 15(11): 2611. CrossRef
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Chemico-Biological Interactions.2023; 382: 110546. CrossRef
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Nutrients.2023; 15(17): 3827. CrossRef
Copper homeostasis and cuproptosis in tumor pathogenesis and therapeutic strategies
Chenbin Bian, Zhuangzhuang Zheng, Jing Su, Sitong Chang, Huiyuan Yu, Jindian Bao, Ying Xin, Xin Jiang
Frontiers in Pharmacology.2023;[Epub] CrossRef
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Zili Lin, Yizhe He, Ziyi Wu, Yuhao Yuan, Xiangyao Li, Wei Luo
Scientific Reports.2023;[Epub] CrossRef
Cuproptosis: Harnessing Transition Metal for Cancer Therapy
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ACS Nano.2023; 17(20): 19581. CrossRef
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Human Cell.2023; 37(1): 85. CrossRef
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Cureus.2023;[Epub] CrossRef
Development and validation of cuproptosis-related lncRNAs associated with pancreatic cancer immune microenvironment based on single-cell
Yimeng Sun, Lin Yao, Changfeng Man, Zhenjun Gao, Rong He, Yu Fan
Frontiers in Immunology.2023;[Epub] CrossRef
A prognostic and immunotherapy effectiveness model for pancreatic adenocarcinoma based on cuproptosis-related lncRNAs signature
Ning Zhang, Xuehua Yu, Hui Sun, Yunhong Zhao, Jing Wu, Gaifang Liu
Medicine.2023; 102(42): e35167. CrossRef
Cuproptosis-related lncRNA scoring system to predict the clinical outcome and immune landscape in pancreatic adenocarcinoma
Yi Huang, Ping Gong, Li Su, Mei Zhang
Scientific Reports.2023;[Epub] CrossRef
Comprehensive analysis of cuproptosis-related long non-coding RNAs in prognosis, immune microenvironment infiltration and chemotherapy response of hepatocellular carcinoma
Huili Ren, Jianglin Zheng, Ying Zhu, Leiyun Wang, Jianmin Liu, Hongfeng Xu, Junli Dong, Shaohui Zhang
Medicine.2023; 102(50): e36611. CrossRef
Iron Citrate (Synthesit) Supplementation During Pancreas Cancer Showed Surprising Results – Case Study
Patrik Kusnir
Acta Medica Martiniana.2023; 23(3): 107. CrossRef
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Li Liu, Changqing Guo, Qisheng Zhang, Peipei Xu, Yuanyuan Cui, Weiju Zhu, Min Fang, Cun Li
Journal of Photochemistry and Photobiology A: Chemistry.2022; 423: 113593. CrossRef
Selenium concentration is associated with occurrence and diagnosis of three cardiovascular diseases: A systematic review and meta-analysis
Liu Yang, Meng Qi, Xiaoping Du, Zengrun Xia, Guotao Fu, Xueqin Chen, Qiling Liu, Na Sun, Chuandao Shi, Rongqiang Zhang
Journal of Trace Elements in Medicine and Biology.2022; 70: 126908. CrossRef
Selenium Induces Pancreatic Cancer Cell Death Alone and in Combination with Gemcitabine
David J. Wooten, Indu Sinha, Raghu Sinha
Biomedicines.2022; 10(1): 149. CrossRef
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Aline Emanuel, Julia Krampitz, Friederike Rosenberger, Sabine Kind, Ingeborg Rötzer
Cancers.2022; 14(9): 2212. CrossRef
Serum trace element levels of liver cirrhosis and pancreatic cancer patients
Karapinar H Sibel, Türkdoğan M Kürşat, Kiliçel Fevzi
Archives of Community Medicine and Public Health.2022; 8(2): 055. CrossRef
Thiosemicarbazones Reprogram Pancreatic Cancer Bidirectional Oncogenic Signaling Between Cancer Cells and Stellate Cells to Suppress Desmoplasia
DR Richardson, M Gholam Azad, R Afroz, V Richardson, M Dharmasivam
Future Medicinal Chemistry.2022; 14(13): 1005. CrossRef
A novel reversible oxazole-based NIR fluorescent probe for Cu2+ and S2− ions detection
Huihui Mei, Chen Yang, Xiaoyan Yang, Zhuo Huang, Pengfei Cheng, Kuoxi Xu
Journal of Molecular Structure.2022; 1266: 133522. CrossRef
Selenocompounds and Sepsis—Redox Bypass Hypothesis: Part B-Selenocompounds in the Management of Early Sepsis
Xavier Forceville, Pierre Van Antwerpen, Djillali Annane, Jean Louis Vincent
Antioxidants & Redox Signaling.2022; 37(13-15): 998. CrossRef
Recent advances in the application of metallomics in diagnosis and prognosis of human cancer
Yan Zhang, Jie He, Jiao Jin, Cihan Ren
Metallomics.2022;[Epub] CrossRef
Cuproptosis-related gene index: A predictor for pancreatic cancer prognosis, immunotherapy efficacy, and chemosensitivity
Xufeng Huang, Shujing Zhou, János Tóth, András Hajdu
Frontiers in Immunology.2022;[Epub] CrossRef
Identification of cuprotosis-mediated subtypes, the development of a prognosis model, and influence immune microenvironment in hepatocellular carcinoma
Jingjing Xiao, Zhenhua Liu, Jinlong Wang, Shuaimin Zhang, Yi Zhang
Frontiers in Oncology.2022;[Epub] CrossRef
Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD Patients
Hao Chi, Gaoge Peng, Rui Wang, Fengyi Yang, Xixi Xie, Jinhao Zhang, Ke Xu, Tao Gu, Xiaoli Yang, Gang Tian
Cells.2022; 11(21): 3436. CrossRef
Construction of a Prognostic Model Based on Cuproptosis-Related lncRNA Signatures in Pancreatic Cancer
Wenkai Jiang, Yan Du, Wenlong Zhang, Wence Zhou, Antonio Giovanni Solimando
Canadian Journal of Gastroenterology and Hepatology.2022; 2022: 1. CrossRef
Copper homeostasis and cuproptosis in health and disease
Liyun Chen, Junxia Min, Fudi Wang
Signal Transduction and Targeted Therapy.2022;[Epub] CrossRef
Minerals and Cancer: Overview of the Possible Diagnostic Value
Sascha Venturelli, Christian Leischner, Thomas Helling, Olga Renner, Markus Burkard, Luigi Marongiu
Cancers.2022; 14(5): 1256. CrossRef
Targeting cell death pathways for cancer therapy: recent developments in necroptosis, pyroptosis, ferroptosis, and cuproptosis research
Xuhui Tong, Rong Tang, Mingming Xiao, Jin Xu, Wei Wang, Bo Zhang, Jiang Liu, Xianjun Yu, Si Shi
Journal of Hematology & Oncology.2022;[Epub] CrossRef
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Thomas Manning
SSRN Electronic Journal .2022;[Epub] CrossRef
Mikronährstoffe
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Inorganic Chemistry Communications.2021; 126: 108471. CrossRef
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Biomedicines.2021; 9(11): 1628. CrossRef
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Environmental Science and Pollution Research.2020; 27(13): 15835. CrossRef
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RSC Medicinal Chemistry.2020; 11(3): 392. CrossRef
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Environmental Research.2020; 190: 109781. CrossRef
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Response to the comment on “Development of PancRISK, a urine biomarker-based risk score for stratified screening of pancreatic cancer patients”
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Current Medicinal Chemistry.2020; 27(37): 6373. CrossRef
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Environment International.2019; 127: 216. CrossRef
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Serum Concentrations of Selenium and Copper in Patients Diagnosed with Pancreatic Cancer

Cancer Res Treat. 2016;48(3):1056-1064. Published online December 28, 2015

DOI: https://doi.org/10.4143/crt.2015.282

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Abstract
Introduction
Materials and Methods
Results
Discussion
Conclusion
NOTES
REFERENCES

Development of a Prediction Model for Delirium in Hospitalized Patients with Advanced Cancer

Serum Concentrations of Selenium and Copper in Patients Diagnosed with Pancreatic Cancer

Fig. 1. The probability curve of developing pancreatic cancer (odds ratio) for selenium levels (μg/L) shown for a sliding window approach (window size, 30 observations). Values above that line indicate an increased probability, values below indicate a decreased probability of developing pancreatic cancer. The reference proportion is 1:1 for the whole series (odds ratio 1, dotted grey line). A Lowess-regression was applied to these calculated data points to estimate the underlying probability curve. Note that the odds ratio scale is not proportional: e.g., a 10-fold increased probability of developing pancreatic cancer corresponds to odds ratio 10, while a 10-fold decreased probability corresponds to odds ratio 0.1.

Fig. 2. The probability curve of developing pancreatic cancer (odds ratio) for copper levels (μg/L) shown for a sliding window approach (window size, 30 observations). Values above that line indicate an increased probability, values below indicated a decreased probability of developing pancreatic cancer. The reference proportion is 1:1 for the whole series (odds ratio 1, dotted grey line). A Lowess-regression was applied to these calculated data points to estimate the underlying probability curve. Note that the odds ratio scale is not proportional: e.g., a 10-fold increased probability of developing pancreatic cancer corresponds to odds ratio 10, while a 10-fold decreased probability corresponds to odds ratio 0.1.

Fig. 3. The probability curve of developing pancreatic cancer (odds ratio) for the ratio of copper to selenium levels shown for a sliding window approach (window size: 30 observations). Values above that line indicate an increased probability, values below indicate a decrease probability of developing pancreatic cancer. The reference proportion is 1:1 for the whole series (odds ratio 1, dotted grey line). A lowess-regreesion was applied to these calculated data points to estimate the underlying probability curve. Note that the odds ratio scale is not proportional: e.g., a 10-fold increased probability of developing pancreatic cancer corresponds to odds ratio 10, while a 10-fold decreased probability corresponds to odds ratio 0.1. For highest proportions of copper to selenium, where there are no controls, just cases, for the overlapping windows odds ratio was conservatively estimated to be the same as the last calculated odds ratio. Such odds ratios were marked with a grey color in the graphic to avoid confusion.

Fig. 4. The relationship between survival time and selenium (Se) blood plasma level among pancreatic cancer patients (separated for patients still alive and already deceased) is depicted as two regression lines (with confidence intervals shown in gray). Higher Se values seem to be associated with increasing survival time; however, this association is not significant (generalized linear model adjusted for age, sex, pack-years, and survival status, p=0.0820).

Fig. 1.

Fig. 2.

Fig. 3.

Fig. 4.

Serum Concentrations of Selenium and Copper in Patients Diagnosed with Pancreatic Cancer

Characteristic	Case (n=100)	Control (n=100)
Birth year range	1930-1976	1928-1978
Age at sample, mean (range, yr)	63.40 (35-84)	63.45 (33-85)
Sex
Male	59	59
Female	41	41
First-degree relatives
With pancreatic cancer	4	4
Another cancer site	43	43
Smoking status
Smoker	27	73
Non-smoker	27	73
Pack-years, mean (range)	28.99 (2-50)	26.14 (2-50)

Quartile	Se level (Jg/L)	Case	Control	OR	p-value	95% CI
I	29.87-56.20	45	5	41	< 0.0001	12.693-132.44
II	56.52-69.12	32	18	8.099	< 0.0001	3.214-20.411
III	69.26-79.36	14	36	1.772	0.3421	0.6853-4.580
IV	79.43-122.46	9	41	1	-	-

Quartile	Cu level (Mg/L)	Case	Control	OR	p-value	95% CI
I	101.97-1,025.88	11	39	1	-	-
II	1,027.88-1,182.28	16	34	1.668	0.3678	0.681-4.084
III	1,187.60-1,448.68	29	21	4.896	0.0004	2.043-11.731
IV	1,453.79-2,901.35	44	6	26	< 0.0001	8.791-76.897

Quartile	Cu:Se ratio	Case	Control	OR	p-value	95% CI
I	1.51-14.05	6	44	1	-	-
II	14.06-16.72	15	35	3.143	0.0479	1.104-8.945
III	16.79-24.20	29	21	10.127	< 0.0001	3.646-28.126
IV	24.44-56.55	50	0	691.46	< 0.0001	37.847-12,633

Table 1. Characteristics of individuals for pancreatic cancer study

Table 2. Serum selenium (Se) levels and the frequency of pancreatic cancer

OR, odds ratio; CI, confidence interval.

Table 3. Incidence of the PaCa and serum copper (Cu) levels in analyzed quartiles

PaCa, pancreatic cancer; OR, odds ratio; CI, confidence interval.

Table 4. Cu:Se ratio and incidence of PaCa

Cu:Se, ratio of copper to selenium levels; PaCa, pancreatic cancer; OR, odds ratio; CI, confidence interval.