Prevalence of K-ras mutations at diagnosis and serum levels of DDT, DDE, PCBs and other organochlorine compounds in exocrine pancreatic cancer


Miquel Porta1, Manuel Jariod1, Núria Malats1, Joan O. Grimalt2, Alfredo Carrato3, Luisa Guarner4, Antonio Salas5, Juli Rifà6, Josep M. Corominas7, Juan Alguacil1, Montserrat Andreu7 & Francisco X. Real1 for the PANKRAS II Study Group
1 Institut Municipal d'Investigació Mèdica (IMIM), Universitat Autònoma de Barcelona, Universitat Pompeu Fabra, Carrer del Dr. Aiguader 80, E-08003 Barcelona, Spain; 2 Institute of Chemical and Environmental Research (CSIC), Barcelona, Spain; 3 Hospital General de Elche, Alicante, Spain; 4 Hospital Vall d'Hebron, Barcelona; 5 Hospital Mútua de Terrassa, Barcelona, Spain; 6Hospital Son Dureta, Mallorca, Spain; 7 Hospital del Mar, Barcelona, Spain

The possibility that organochlorine compounds play a role in the pathogenesis of exocrine pancreatic cancer through modulation of K-ras effects could have significant implications for research on the carcinogenic process of this and other malignancies associated with K-ras mutations. Future studies should be based on mechanistic scenarios that integrate evidence from molecular biology, molecular pathology, molecular epidemiology, genetic toxicology, clinical medicine, and environmental chemistry. Whereas organochlorine compounds are ubiquitous throughout the planet and have a wide range of physiologic effects, no clinical or public health inferences are warranted until our findings are replicated in new studies.

1. Introduction

Over 10 years after their high prevalence at diagnosis was first reported, point mutations in the K-ras gene remain the most consistent genetic alteration in exocrine pancreatic cancer (EPC). Yet, evidence in support of the hypothesis that the occurrence or the persistence of these mutations may be related to some type of environmental factors has been elusive, perhaps because no empirical data were available for humans. Recently, our group reported that patients with K-ras mutated EPC had higher serum concentrations of organochlorine compounds than EPC cases with wild-type K-ras [1]. The possibility that organochlorine compounds play a role in the pathogenesis of EPC through modulation of K-ras effects could have significant implications for research on the carcinogenic process of this and other malignancies where alterations in ras genes are frequent. It could also help to clarify the relationship between organochlorine compounds and the risks of several other neoplasms [1].

Agents such as 1,1,1-trichloro-2,2-bis(p-chlorophenyl)-ethane (p,p'-DDT), its main metabolite and environmental degradation product, 1,1-dichloro-2,2-bis(p-chlorophenyl)-ethylene (p,p'-DDE), several polychlorinated biphenyls (PCBs), hexachlorobenzene and hexachlorocyclohexane comprise the bulk of organochlorine residues in human tissues. These compounds are ubiquitous throughout the planet, poorly excreted due to their lipophilic properties, and stored in many human tissues [2-9]. DDT was widely used in the past as a pesticide, and it continues to be used, mainly for controlling malaria; total global use (worldwide) may be as great at present as it was in the 1970s [2]. PCBs have been used in insulating and cooling electrical equipment (transformers, capacitators, fluorescent lamps), paints, inks, carbonless copy paper, adhesives, resins, plasticisers and many other products and processes [5-9].


2. Subjects and Methods

A detailed description of methods has been published elsewhere [1,10-13]. Incident cases of EPC were prospectively identified and interviewed during hospital stay. Among 185 patients with EPC, mutations in codon 12 of the K-ras gene were determined for 121 using a PCR-RFLP approach [1]; of them 94 (77.7%) harboured mutations, and 27 did not. For the present study, we selected all 17 cases with wild-type K-ras tumours from whom at least 3 mL of serum were available. These wild-type cases were frequency matched (1:2 ratio) to cases with a K-ras mutated tumour (n=34) for age and sex.


3. Results and Discussion

There were no major differences between the 51 selected cases and the remaining 134 cases with respect to a broad range of personal and lifestyle factors (table 1). Symptom history and characteristics at presentation did not differ significantly either between the two groups (table 2). Thus, our results seem generalisable to a fairly unbiased group of EPC patients.

In studies on organochlorine compounds it is common to find patients whose concentration of a given compound falls below the limit of detection or lies between such limit and the limit of quantitation. However, there is no general agreement among epidemiologists as to how statistical analyses should deal with these values. Figure 1a shows the distribution of values for DDT analogues. Levels of p,p'-DDT were detectable in 36 of the 51 cases (71%); in 6 cases (12%) they were detectable but not quantifiable. All 51 cases of EPC had detectable concentrations of p,p'-DDE, and these were quantifiable in 92% of subjects. Ten PCB congeners were detected; for 7 of them (IUPAC numbers 28, 52, 101, 118, 170, 187 and 194) over half of cases had non-detectable or non-quantifiable levels (figure 2a), and they were thus no longer considered. By contrast, all 51 cases of EPC had detectable levels of congeners 153 and 180, and 43 cases (84%) of PCB 138. The corresponding distribution for the rest of organochlorine compounds is shown in figure 3a. Hexachlorobenzene and b-hexachlorocyclohexane were detected in all cases.

In our study, limits of detection and quantitation were 0.1 and 0.3 ng/mL, respectively (detailed figures for all compounds are available from the authors). When organochlorine serum concentrations were not detected we assigned a value of zero. When a compound was detected but the concentration was under the quantitation threshold, the mid-value between detection and quantitation limits was assigned. The resulting values are shown in table 3, as well as in figures 1b, 2b and 3b (the horizontal line of the box plot represents the median value).

The Total PCBs value was the arithmetic sum of the concentrations of all PCB congeners after value imputation (as described in the previous paragraph). Exposure to PCBs was analysed with a congener-specific approach (i.e., each congener separately), as recommended [8,9]. The variable Total PCBs was used only in multivariate analyses to further adjust DDT and DDE levels (i.e., to separate the effects of DDT and DDE from the effects of PCBs). There were two reasons to do so. First, as mentioned, levels of 7 congeners were often undetected or unquantifiable in the patients (figure 2a, table 3), and the resulting Total PCBs was a construct substantially based on imputed values. Second, Total PCBs mixes congeners with different persistence, hormonal activities, cytochrome P450 inducibility, and carcinogen-promoting potential [1,5-9]. For descriptive purposes, and to enable comparison with other studies, table 3 presents several statistics, both on a wet basis (nanograms per milliliter, which is equivalent to parts per billion [ppb]), and on a lipid basis (expressed as micrograms of the organochlorine compound per gram of Total Lipids). The compound present at highest concentrations was p,p'-DDE, followed by b-hexachlorocyclohexane and hexachlorobenzene (table 3, figures 1b and 3b).


Table 1.

Personal and lifestyle characteristics of exocrine pancreatic cancer cases sampled and not sampled for serum organochlorine analyses
Characteristic Sampled for organochlorine analyses
Yes
(N= 51)
No
(N = 134)
P
Age (years) 65.9±11.9 67.2±12.9 0.561€
Median 67.0 67.7 0.599¶
Gender (% males) 54.9 61.2 0.541§
Education (%) (a) 0.462*
Illiterate 11.8 12.4
Can only read and write 21.6 29.2
Up to 10 years of schooling 60.8 47.8
>10 years of schooling 5.9 10.6
Occupation (%) (b) 0.511*
Managers, professionals 15.7 17.5
Service workers 13.7 12.3
Skilled agricultural & fishery workers 31.4 26.3
Craft & related trades workers 37.3 21.9
Plant & machine operators & assemblers 23.5 33.3
Elementary occupations 45.1 44.7
Smoking
Ever-smokers (%) 56.9 55.3 0.983§
Pack-years 23.6±27.7 23.3±32.3 0.949€
Coffee drinking
Regular coffee drinkers (%) 78.4 88.5 0.147§
No. cups per week 13.3±12.0 12.6±11.6 0.617€
Alcohol drinking 0.517¶
Non-drinker 17.6 13.3
Occasional drinker 11.8 11.5
Low consumption 33.3 32.7
High consumption 15.7 20.4
Heavy drinker 21.6 22.1
Plus-minus values are means ± standard deviation (SD). €Student's t-test. §Chi-square test. ¶Wilcoxon 2-sample rank sum test. *Fisher's exact test (two-tail). (a) Education data available for all 51 cases and for 113 of the 134 cases (164/185=88.6%). (b) Groups from the International Standard Classification of Occupations (ISCO88). One subject may have had more than one occupation. Occupational data available for 51 cases and 114 of the 134 cases (89.2%).

Table 2.

Symptom history and characteristics at presentation of exocrine pancreatic cancer cases sampled and not sampled for organochlorine analyses
Characteristic Sampled for organochlorine analyses
Yes
(N= 51)
No
(N = 134)
P *
Days from first symptom to diagnosis 112.9±108.3 102.9±118.2 0.599€
Median 82 67 0.150¶
Signs and symptoms (%)
Weight loss 84.3 84.9 1.000
Asthenia 88.2 85.0 0.644
Anorexia 82.4 82.7 1.000
Vomiting 39.2 31.1 0.300
Nausea 58.8 47.7 0.191
Diarrhea 50.9 40.9 0.247
Steatorrhea 27.5 24.2 0.705
Hypocholia 49.0 56.4 0.410
Choluria 47.1 63.2 0.065
Jaundice 49.0 58.7 0.250
Pruritus 33.3 31.8 0.861
Abdominal pain 66.7 75.2 0.269
Right upper quadrant abdominal pain 53.6 60.6 0.462
Left upper quadrant abdominal pain 56.1 40.7 0.101
Epigastrical pain 80.5 67.6 0.157
Back pain 42.6 51.2 0.391
Physical exam at admission
Cachexia 11.8 12.9 1.000
Jaundice 45.1 58.3 0.136
Epigastric mass 17.7 5.3 0.016
Right upper quadrant abdominal mass 13.7 15.2 1.000
Left upper quadrant abdominal mass 3.9 3.0 0.671
Courvoisier-Terrier sign 13.7 12.1 0.805
Hepatomegaly 27.5 30.3 0.857
Splenomegaly 7.8 0.8 0.022
Ascites 5.9 4.6 0.711
Stage at diagnosis (%) 0.281§
I 17.6 26.9
II 17.6 10.4
II 17.6 10.4
IV 47.1 50.7
Missing 0 1.5
Study interview
Completed interview (%) 100 84.3 (a)
Duration (minutes) 26.6±7.7 27.2±9.2 0.711€
Median 25.0 25.0 0.565¶
Plus-minus values are means±SD. *Except where otherwise noted, P-values derived from Fisher's exact test. €Student's t-test. §Chi-square test. ¶Wilcoxon 2-sample rank sum test. (a) By design: among subjects with available serum, preference was given to those who had been interviewed. Signs and symptoms were elicited from patient interview and clinical records, and disagreements systematically assessed by oncologists on the basis of clinical consistency.

Figure 1a

Figure_1b

Figure_2a

Figure_2b

Figure_3a

Figure_3b


Table 3.

PANKRAS II Study: Organochlorine concentrations among cases of exocrine pancreatic cancer (n = 51)
Compound Percent
subjects with levels detected
Percent subjects detected but non-quantified Wet basis (ng/mL) Lipid basis (µg/g lipid)
Arithmetic mean SD Median Min-Max Arithmetic mean SD Median Min-Max
p,p'-DDT 70.6 11.8 1.35 1.40 1.20 0.00-5.47 0.21 0.25 0.17 0.00-1.04
p,p'-DDE 100.0 7.8 18.80 19.65 12.49 1.30-87.87 2.73 2.79 1.86 0.14-12.98
p,p'-DDD 21.6 21.6 0.23 0.44 0.00 0.00-1.07 0.04 0.09 0.00 0.00-0.41
o.p'-DDT 3.9 3.9 0.02 0.12 0.00 0.00-0.61 0.01 0.03 0.00 0.00-0.15
o.p'-DDE 37.3 7.8 0.13 0.17 0.00 0.00-0.51 0.02 0.03 0.00 0.00-0.13
o.p'-DDD 17.6 17.6 0.08 0.17 0.00 0.00-0.44 0.01 0.02 0.00 0.00-0.09
PCB 28 9.8 3.9 0.11 0.42 0.00 0.00-2.58 0.02 0.07 0.00 0.00-0.50
PCB 52 31.4 23.5 0.26 0.56 0.00 0.00-3.32 0.04 0.09 0.00 0.00-0.51
PCB 101 52.9 47.1 0.35 0.47 0.54 0.00-2.88 0.05 0.07 0.05 0.00-0.37
PCB 118 60.8 29.4 0.64 0.79 0.53 0.00-3.38 0.09 0.11 0.06 0.00-0.46
PCB 138 84.3 19.6 1.45 1.29 1.45 0.00-5.04 0.21 0.22 0.16 0.00-1.21
PCB 153 100.0 27.5 1.59 1.14 1.31 0.52-5.21 0.24 0.18 0.18 0.05-0.75
PCB 170 78.4 51.0 1.26 1.43 0.85 0.00-7.47 0.20 0.29 0.14 0.00-1.80
PCB 180 100.0 35.3 2.01 1.49 1.56 0.83-7.69 0.30 0.21 0.22 0.10-0.92
PCB 187 80.4 64.7 0.97 1.02 0.85 0.00-6.15 0.14 0.17 0.12 0.00-1.13
PCB 194 33.3 33.3 0.28 0.40 0.00 0.00-0.85 0.05 0.08 0.00 0.00-0.33
ěTotal PCBsî ??? ??? 8.91 4.90 7.97 1.58-25.00 1.33 0.76 1.10 0.21-3.66
Hexachlorobenzene 100.0 0.0 10.51 7.86 8.64 0.79-39.13 1.61 1.39 1.08 0.08-6.46
a-hexachlorocyclohexane 60.8 7.8 1.84 2.30 1.01 0.00-8.84 0.29 0.42 0.11 0.00-1.97
b-hexachlorocyclohexane 100.0 7.8 10.67 8.14 8.42 1.35-40.48 1.65 1.40 1.18 0.19-6.46
b-hexachlorocyclohexane 49.0 9.8 0.90 1.17 0.00 0.00-4.07 0.14 0.20 0.00 0.00-0.65
Octachlorostyrene 54.0 50.0 0.28 0.28 0.31 0.00-0.55 0.04 0.05 0.02 0.00-0.21
Pentachlorobenzene 39.2 31.4 0.14 0.25 0.00 0.00-1.49 0.02 0.04 0.00 0.00-0.26
Serum levels of p,p'-DDT and p,p'-DDE were significantly higher among the 51 cases of EPC than among the 26 hospital controls (table 4). The 51 cases were over 5 times more likely to be in the upper tertile of p,p'-DDE than the 26 controls (multivariate-adjusted odds ratio: 5.6 [95% CI 1.3 - 24.6], p for trend 0.025). The differences were entirely due to the higher levels of cases with mutated tumours, concentrations among cases with wild-type tumours being scarcely different from controls (table 5). The 34 cases with mutated tumours were over 10 times more likely to be in the upper tertile of p,p'-DDE than the 26 controls (multivariate-adjusted odds ratio: 10.5 [95% CI 1.9 - 59.3] (p for trend 0.007). None of the odds ratios comparing wild-type cases and controls was significantly increased.

Table 4.

Case-control comparison. Serum concentration among all 51 cases of exocrine pancreatic cancer are compared to concentrations among the 26 hospital controls
Conpound
Tertiles
(µ:g / g lipid)
Crude Adjusted *
OR P for trend
(OR 95%CI)
OR P for trend
(OR 95%CI)
p,p'-DDT
Nd+DNq
1.00 0.040 1.00 1.00 0.002
<=0.225 1.41 (0.46-4.36) 2.99 (0.69-12.89)
> 0.225 4.32 (1.08-17.31) 15.77 (2.68-92.89)
p,p'-DDE <= 0.950 1.00 0.052 1.00 0.025
<=2.350 1.00 (0.33-3.01) 1.19 (0.34-4.09)
> 2.350 3.85 (1.03-14.44) 5.56 (1.26-24.61)
Tertiles based on distribution among 77 patients. Odds ratios (ORs) derived from values individually-adjusted by total lipids. *Adjusted by age, gender, and tobacco, coffee and alcohol consumption. Nd: Non detected. DNq: Detected, non quantifiable.

Table 5.

Serum concentrations (median, ng/mL) of p,p'-DDT, p,p'-DDE and the three predominant PCBs among controls, and among cases of exocrine pancreatic cancer with and without mutations in the K-ras gene
Compound Controls
(n=26)
Cases of EPC
Mutated
(n=34)
Wild-type
(n=17)
p,p'-DDT 0.2 1.4 (0.001) 0.2 (0.13)
p,p'-DDE 7.6 14.8 (0.002) 6.8 (0.29)
PCB 138 1.1 1.7 (0.058) 0.2 (0.72)
PCB 153 1.3 1.5 (0.030) 0.8 (0.37)
PCB 180 0.9 2.0 (0.003) 0.9 (0.50)
Values in brackets are the statistical significance (P-value) for differences between controls and mutated cases, and between controls and wild-type cases (covariance analysis, adjusting by total lipids, age, sex, and tobacco, alcohol and coffee consumption).


Acknowledgements

This study was supported in part by research grants from Fondo de Investigación Sanitaria (92/0007, 95/0017 and 97/1138), Fundación Salud 2000, MSD Spain and Generalitat de Catalunya (CIRIT 1995 / SGR 434, CIRIT 1995 / SGR 435 and 1998 / BEAi 400011). The authors are also indebted to R. Otero, A. Serrat, V. Barberà, M. Torà, S. Costafreda, L. Ruiz, M. Soler, D.J. MacFarlane, J. Gomez, P. Barbas and L. Español. Valuable scientific advise was provided by A.J. McMichael, P.G. Toniolo, J. Vila, M. Hernán, A.M. García, K.B. Moysich, M. Kogevinas, H. Vainio, C. Malaveille, M. Luotamo, E.F. Schisterman, D.J. Hunter, F. Laden, I. De Vivo, M.I. Covas, J. Marrugat, F.G. Benavides and J. Sunyer. Partial results of this study were presented at the 16th. Scientific Meeting of the Spanish Society of Epidemiology (Sevilla, 20 - 23 October 1998) (Rev Esp Salud Pública 1998; 72 Supl: 97), at the Second International Congress ěBiliopancreatic malignancy: from gene to cureî (Amsterdam, 4 - 6 February 1999), at the Channing Laboratory (Boston, 9 March 1999), at the National Cancer Institute (Rockville, 21 April 1999), and at The University of North Carolina School of Public Health (Chapel Hill, 7 May 1999).


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