Abstract
Background: Insulin-like growth factor-I (IGF-I) is a potent mitogen. IGF-I and its main binding protein, IGF binding protein-3 (IGFBP-3), and their polymorphisms have been investigated in relation to risk of many cancers, but not esophageal adenocarcinoma.
Materials and Methods: We used data and specimens from a longitudinal study of persons with Barrett's esophagus (n = 344; median, 5.4 years follow up) to determine whether baseline serum concentrations of IGF-I and IGFBP-3 and associated polymorphisms were related to the risk of developing esophageal adenocarcinoma or flow cytometric abnormalities.
Results: Overall, circulating concentrations of IGF-I and IGBP-3 were not associated with risk of esophageal adenocarcinoma or flow cytometric abnormalities, with the exception of an approximate tripling of risk of aneuploidy among participants with higher IGFBP-3 levels [above median; adjusted hazard ratio (HR) comparing subjects with levels lower than median versus higher of equal to median, 2.7; 95% confidence interval (95% CI), 1.2-6.0; P = 0.01]. Genotypic analyses revealed that persons with the IGF-I [cytosine-adenine (CA)]19 or the IGFBP-3 A-202C C allele were associated with lower circulating concentrations of IGF-I (Ptrend = 0.01) and IGFBP-3 (Ptrend = 0.002), respectively. Persons with two copies of the IGF-I receptors 2-bp deletion allele had a nonsignificant 2-fold increased risk of tetraploidy (HR, 2.3; 95% CI, 0.9-5.9; Ptrend = 0.11). After adjustment for IGFBP-3 levels, participants carrying two IGFBP-3 C alleles had a significantly higher risk of developing aneuploidy (HR, 3.8; 95% CI, 1.0-14.0; Ptrend = 0.04) than carriers of A alleles; whereas no associations were observed between the outcomes studied and the IGF-I receptors AGG trinucleotide repeat polymorphism at position 97.
Conclusion: Our findings, although based on a relatively small number of outcomes and subject to several limitations, indicate a potential role of the complex IGF system in neoplastic progression among persons with Barrett's esophagus. (Cancer Epidemiol Biomarkers Prev 2007;16(11):2387–96)
Introduction
A rapid increase in the incidence of esophageal adenocarcinoma has occurred in Europe, Australia, Canada, and United States over the last three decades (1). White males have the highest incidence rate, followed by White females and Black males (2). Although the pathogenesis underlying causes are not well-understood, obesity is thought to play an important role (3).
Most esophageal adenocarcinoma arise in Barrett's esophagus, a metaplastic condition that develops in ∼10% of persons who have chronic gastresophageal reflux disease. This disease affects ∼40% of American adults (4). Each year, ∼0.5% to 1% of persons with Barrett's esophagus progress to esophageal adenocarcinoma, a rate that is 30 to 40 times higher than that in the general population (5-10). Recent research has indicated that abnormalities, such as aneuploidy and tetraploidy, identify a particular high-risk subset of Barrett's esophagus patients (11-13). Given the large number of persons affected by Barrett's esophagus, which is estimated to be more than 1 million in the United States (14, 15), further research into methods to identify high-risk persons is warranted, so that effective primary and secondary prevention measures can be undertaken.
Insulin-like growth factors (IGF), such as IGF-I, are mitogens that play pivotal roles in the regulation of cell proliferation, differentiation, and apoptosis (16). Several epidemiologic studies have examined serum concentrations of IGF in relation to cancer risk (16, 17). For instance, in a recent metaanalysis, associations between IGF-I and prostate, colorectal, and premenopausal breast cancers were detected (18). The major binding protein of IGF-I, IGFBP-3, may also have a role in cancer progression (18, 19). It seems that IGFBP-3 has two potentially opposing roles in its influence on tumor behavior. It might have antiproliferative and proapoptotic properties by sequestering IGFs away from the IGF-I receptor (IGF-IR; ref. 20). Alternatively, IGFBP-3 interactions with cell or matrix components may concentrate IGF-I near their receptor, enhancing IGF-I activity (20). In some cellular environments, it might be antiapoptotic and act in an IGF-I–independent manner (21). Epidemiologic studies of the association between serum IGFBP-3 concentrations and cancer risk have also produced inconclusive results. It is hypothesized that some of these inconsistencies may in part be related to differences in the specificity of IGFBP-3 assays and measurement of functional versus total IGFBP-3 concentrations (22, 23). Measurements of total IGFBP-3 can include the detection of proteolytic IGFBP-3 fragments with lost affinity for IGF-I (23).
A highly polymorphic CA repeat polymorphism is located ∼1 kb 5′ from the transcription start site of IGF-I on chromosome 12q12 (24). Studies relating IGF-I polymorphisms and circulating IGF-I blood concentrations have not been conclusive (25-28) nor were studies of polymorphisms and cancer risk (26, 29). IGFBP-3 is located on chromosome 7p14-12. Polymorphism A-202C (rs2854744) has been associated with variation in serum IGFBP-3 concentrations (27, 30). This polymorphism has been shown to account for 6% to 9% of the variation in the circulating IGFBP-3 concentrations (31, 32). This IGFBP-3 polymorphism has also been studied in relation to a number of cancers (33-36). IGF-IRs are located on the cell membrane. The most commonly reported polymorphisms in human IGF-IR include AGG trinucleotide repeat at position 97 (37) and 2-bp deletion in the 3′ untranslated region (38). To our knowledge, the aforementioned IGF-IR polymorphisms and their functional significance have not been studied in relation to esophageal adenocarcinoma.
We hypothesized that increased serum concentrations of IGF-I and decreased serum concentrations of IGFBP-3 and polymorphisms in IGF-I, IGFBP-3, and IGF-IR are associated with progression to aneuploidy, tetraploidy, or esophageal adenocarcinoma among patients with Barrett's esophagus. To investigate this hypothesis, we conducted a longitudinal study and determined baseline concentrations of serum IGF-I and IGFBP-3 and genotypes for polymorphisms in IGF-I, IGFBP-3, and IGF-IR.
Materials and Methods
Study Population, Biological Samples, and Disease End-Point Assessment
This was an ancillary study to the Seattle Barrett's Esophagus Predictors Research Cohort, which began in 1983. The participants in this cancer surveillance program had periodic endoscopies and multiple biopsies. Frequency of follow-ups ranged from every 6 months (for patients with high-grade dysplasia) to every 2 to 3 years (for patients without high-grade dysplasia). In addition, subjects with initial diagnosis of high-grade dysplasia undertook endoscopy at baseline, 1 month, and 3 months to rule out possible coexisting esophageal adenocarcinoma. Since February 1, 1995, new and ongoing participants donated blood samples; underwent an extensive personal interview about medical history, diet, and medication history; and provided anthropometric measurements (i.e., weight, height, and circumference of waist, abdomen, hips, and thigh; refs. 39, 40). The study was approved by the institutional review boards of University of Washington and Fred Hutchinson Cancer Research Center. Participants provided written informed consent.
Participants included in this analysis had baseline and follow-up assessments between February 1, 1995, and November 1, 2003. Eligible participants (n = 344) were those who had at least one follow-up at least 3 months after the baseline evaluation. Participants fasted overnight before donating blood samples. Serum, plasma, and WBC were obtained and divided into multiple aliquots and stored in cryovials at −70°C.
All participants underwent structured interviews at baseline given in person by trained staff. Interviews usually occurred in the clinic before endoscopy or occasionally in the participant's home. The baseline interview took ∼45 min to complete and included medical history, family history of cancer and gastrointestinal disorders, past and current use of drugs, past and current tobacco and alcohol use, current occupation, and demographic characteristics. Height, weight, and anthropometric measurements were taken by the interviewers at baseline and at follow-up by use of a standard protocol (39, 40).
Methods of endoscopy, biopsy, and flow cytometry have been described elsewhere (11, 13). For most participants, four-quadrant biopsies were obtained from every alternate centimeter of Barrett's esophagus. For participants with a history of high-grade dysplasia, biopsies were taken every centimeter. Biopsy sampling was done at every endoscopy. One half of an endoscopic biopsy tissue sample from every 2 cm of the Barrett's segment was frozen, stored at −80°C in tissue culture medium with 5% FCS, 5 mmol/L HEPES buffer (pH 7.4), and 10% DMSO, and used for flow cytometry. The corresponding half was fixed for histologic interpretation. The remaining endoscopic biopsy tissue samples were placed in either Hollande's solution (until June 2001) or formalin (after July 2001) for subsequent histologic examination. Biopsies were interpreted by two university-based pathologists experienced in Barrett's esophagus field, both of whom were blinded to the flow cytometric and genetic findings. Participants were classified histologically according to the most advanced histology present in any biopsy sample. Flow cytometry histograms were interpreted by a single investigator, who was masked to the histologic or genetic results. Tetraploidy (abnormal 4N fraction) was defined by the presence of more than 6% of cells with a DNA content between 3.85 and 4.10N (11). A diagnosis of aneuploidy was made if the aneuploidy peak included at least 2.5% of cells in the biopsy sample and if discrete peaks were recorded on the histogram, showing aneuploid and diploid cell populations (11, 13, 41). A patient was classified as having aneuploidy or tetraploidy if the particular abnormality was noted for one or more biopsies from a given endoscopy.
Determination of Serum IGF-I and IGFBP-3 Concentrations
Concentrations of serum IGF-I and IGFBP-3 were measured using two-site immunoradiometric assay kits from Diagnostic Systems Laboratories, Inc. Before the determination of IGF-I concentration by immunoradiometric assay, the serum sample was treated with acid-ethanol to release IGF-I from its binding proteins. In addition to kit controls, aliquots of in-house serum quality control pools were included in each run to monitor assay performance. The assay for IGF-I had an intraassay CV of 3% to 4% and an interassay CV of 3% to 7%. For IGFBP-3, the intra- and interassay CV ranged from 2% to 6%.
Polymorphism Analyses
DNA was purified from peripheral blood WBC using standard methods (42). For the study of IGF-I CA repeat, IGF-IR AGG repeat, and IGF-IR 2-bp deletion, we generated PCR fragments containing these polymorphic loci and analyzed pooled PCR products on an ABI 310 genetic analyzer (Applied Biosystems, Inc.) to determine genotypes. For the IGF-I CA repeats, we used primers described by Rosen et al. (25). A 20-μL PCR reaction contained 25 ng genomic DNA, 0.1 μmol/L of each primer (forward primer was labeled with fluorescent label TET), 150 μmol/L of each deoxynucleotide triphosphate, and 0.8 units Taq polymerase in 1× PCR buffer. The thermocycling conditions included initial denaturation at 95°C for 2 min; 35 cycles of 94°C for 45 s, 60°C for 30 s, and 72°C for 1 min; and a final extension at 72°C for 5 min. To analyze the IGF-IR AGG repeats, we used primers described by Meloni et al. (37). The PCR reaction mix was identical to the IGF-I CA repeat protocol except that we used 200 μmol/L of each deoxynucleotide triphosphate. The thermocycles included 94°C for 3 min; 35 cycles of 94°C for 30 s, 67°C for 30 s, and 72°C for 30 s; and one cycle at 72°C for 5 min. Positive controls for both assays are purified and sequenced plasmid clones containing 18, 20, and 21 CA repeats or six and seven AGG repeats. Negative controls were prepared identically, but without DNA template. We amplified the 2-bp deletion of the IGF-IR gene according to Poduslo et al. (38). The forward and reversed primers (IGF-IRF1 5′GCT GAG GGA GGA GGC GGC3′-TET, IGF-IRR1 5′GGC GAG GGG CAG AAA CGC3′) amplify a 309-bp or 311-bp product. The PCR mix was identical to that for the IGF-I CA repeat protocol except the use of 100 μmol/L of each deoxynucleotide triphosphate. The thermocycles included initial denaturation at 94°C for 2 min; 8 cycles of 94°C for 45 s, 64°C for 30 s, and 72°C for 45 s; 27 cycles of 94°C for 45 s, 60°C for 30 s, and 72°C for 45 s; and a final extension at 72°C for 5 min. Positive controls were sequenced in-house genomic DNA of known genotypes. Negative controls contained no DNA template. Pooled PCR products were mixed with TAMRA size standard and denatured with formamide at 95°C for 2 min and analyzed on the ABI 310. Sample peaks were compared with known peaks from the GeneScan-500 size standard and were assigned relative mobility units via the ABI GeneScan software. The ABI Genotyper software assigned a repeat length to each peak based on relative mobility unit bin sizes determined with cloned and sequenced plasmid standards with known number of repeats or with sequenced in-house DNA with or without the 2-bp deletion.
We determined the IGFBP-3 A-202C polymorphism by PCR/RFLP using primers described by Deal et al. (43). A 20-μL PCR contained 25 ng genomic DNA, 0.2 μmol/L of each primer, 100 μmol/L of each deoxynucleotide triphosphate, 2.5 mmol/L Mg2+, 1× Q-Solution, 0.84 units Taq polymerase in 1× PCR buffer. The thermocycling variables included initial denaturation at 95°C for 2 min; 5 cycles of 95°C for 45 s, 66°C for 30 s, and 72°C for 1 min; 35 cycles of 94°C for 45 s, 60°C for 30 s, 72°C for 1 min; and a final extension at 72°C for 5 min. Positive controls were in-house DNA samples of known genotypes; template-free reactions were used for negative controls. The PCR products were digested with BsiHKA I and resolved on a 2.5% agarose gel. BsiHKA I restriction generated 162 and 242 bp bands for A/A individuals, and 162 and 289 bp bands for C/C homozygotes. Heterozygotes showed all bands.
Statistical Analyses
On the basis of baseline serum concentrations of IGF-I and IGFBP-3 and their median splits, participants (n = 344) were classified and studied for the development of any of the outcomes. Cox proportional hazards models were used to calculate hazard ratios (HR) and 95% confidence interval (95% CI), adjusting as necessary for gender, smoking status, age (<45.0, 45.0-54.9, 55.0-64.9, 65.0-74.9, and >75.0 years), and waist-to-hip ratio (quartile ranges: <0.912, 0.912-.0.957, 0.958- 0.995, and >0.995). Participants were initially classified as ever smokers (≥1 cigarette a day for ≥6 months) or nonsmokers. In the analysis, we used three categories of smoking status: current (at baseline), former smoker, and nonsmoker. Other variables examined for possible confounding included education (high-school graduate or less, attended college without graduating, and college graduate), NSAID use, and selenium concentration (quartile ranges: <1.54, 1.54-1.70, 1.71- 1.84, and >1.84 μmol/L), and body mass index (categories: <25.0, 25.0-27.4, 27.5-29.9, and >29.9 kg/m2). NSAID categories included current users (defined as those who had used NSAID at least weekly for ≥6 months at the time of, or within a year of, baseline interview), former users (defined as those who had used NSAID at least weekly for ≥6 months, but not within a year of baseline interview), or never users (defined as those who had never used NSAID at least weekly for ≥6 months). Possible interactions between IGFs and NSAID and waist-to-hip ratio were tested using likelihood ratio tests. Subgroup analyses of ethnic origin were not possible because most participants [327 of 340 (96%) with known ethnic origin] identified themselves as White. We also calculated partial Pearson correlation coefficient to test for correlation between serum concentrations of IGF-I and IGFBP-3.
The three end points were considered to develop independently from each other and were analyzed separately. All persons in the cohort were cancer-free at baseline. Risk of aneuploidy was assessed among persons who were aneuploidy-free at baseline, regardless of their tetraploidy status, and vice versa. Development of esophageal adenocarcinoma indicated the end of follow-up for this report; persons developing esophageal adenocarcinoma were considered to also have developed aneuploidy and tetraploidy as well. IGF-I and IGFBP-3 concentrations were tested in median splits, as well as tertiles, quartiles, and continuous variables with little difference from median split categories. Due to sample size limitation, the data are presented in median splits. We also explored a continuous (grouped linear) model for genotypes as well as categorical, but did not observe importantly different patterns of results.
Genotype-Phenotype Association
ANOVA (F statistics) was used to compare the serum concentrations of IGF-I and IGFBP-3 within genotype categories. Multiple regression models were also fitted with gender, smoking status, quartiles of body mass index and waist-to-hip ratio, and age categories. Adjusted and unadjusted mean serum concentrations of IGF-I by genotype categories (as listed in Table 5) were determined using the Stata adjust command.
Genotype-Disease Risk Association
Three hundred forty-three participants were classified and studied as above with regard to IGFBP-3, IGF-I, and IGF-IR genotypes and disease outcomes. All statistical tests were two-sided. We assessed departures from Hardy-Weinberg disequilibrium by testing the difference between the observed (sampled) and expected genotype frequencies under Hardy-Weinberg equilibrium and did asymptotic Hardy-Weinberg equilibrium tests (44) using Stata genhw and genhwi commands.
We used several methods to test for the appropriateness of the proportional hazards assumption and other potential misspecifications of our model. Such methods included partial likelihood ratio tests for the significance of interaction terms between IGFs and other risk factors and a test for a relation between scaled Schoenfeld residuals and time. None of these methods showed any significant misspecifications or violations of the assumptions in the model. Statistical analyses were done using Stata software version 9.1.
Results
The 344 participants were followed for a median of 5.4 years (Table 1). The mean number of follow-ups for cancer, aneuploidy, and tetraploidy analyses were 3.7, 3.2, and 3.2, respectively (number of follow-ups for cancer analysis ranged from 1 to 20). The mean age for participants whose serum IGF-I concentrations were determined was 61.6 years (SD, 11.7 years). The number of events and follow-up times are presented in Table 1. Characteristics of the participants and the mean serum concentrations of IGF-I and IGFBP-3 within each subgroup are shown in Table 2. Serum concentrations of IGF-I were found to be correlated strongly with those of IGFBP-3 (partial Pearson correlation coefficient, 0.59; P < 0.001). Both concentrations showed a decrease with increasing age, but little variation by other risk factors. IGF-I serum levels were higher in men than in women (partial Pearson correlation coefficient, 0.23; P < 0.0001), whereas serum levels of IGFBP-3 were lower in men (partial Pearson correlation coefficient, −0.09; P = 0.09). The association between serum IGF-I and IGFBP-3 concentrations, categorized into quartiles, and disease outcomes are presented in Table 3. There was a suggestion of increased risk of esophageal adenocarcinoma with higher concentrations of IGF-I and IGF-I/IGFBP-3 molar ratio. Higher concentrations of IGFBP-3 were associated with a significantly increased risk of aneuploidy (Ptrend = 0.02), but not esophageal adenocarcinoma or tetraploidy. No significant interactions were noted between IGF-I or IGFBP-3 concentrations and participant age, gender, NSAID use, waist-to-hip ratio, or serum selenium concentrations in association with the outcomes. Continuous models for IGF-I and IGFBP-3 were not associated with the outcomes. We did not find any evidence of departure from Hardy-Weinberg equilibrium in the genotype frequencies among our participants (IGFBP-3 −202 A/C, P = 0.82; IGF-I CA repeats, P = 0.37; IGF-IR AGG repeats, P = 0.77; and IGF-IR 2-bp deletion, P = 0.77).
. | n* . | Person-years . | Median follow-up, y (range) . | No. events . |
---|---|---|---|---|
Cancer | 344 | 1,637 | 5.4 (0.2-8.9) | 38 |
Aneuploidy | 309 | 1,467 | 5.5 (0.4-8.9) | 35 |
Tetraploidy | 309 | 1,431 | 5.3 (0.2-8.9) | 42 |
. | n* . | Person-years . | Median follow-up, y (range) . | No. events . |
---|---|---|---|---|
Cancer | 344 | 1,637 | 5.4 (0.2-8.9) | 38 |
Aneuploidy | 309 | 1,467 | 5.5 (0.4-8.9) | 35 |
Tetraploidy | 309 | 1,431 | 5.3 (0.2-8.9) | 42 |
Number of subjects without the outcome at baseline.
. | n* . | IGF-I (ng/mL), mean (SD) . | IGFBP-3 (ng/mL), mean (SD) . | |||
---|---|---|---|---|---|---|
Age (y) | ||||||
<55 | 108 (31%) | 231 (90) | 3,991 (811) | |||
>55 | 236 (69%) | 175 (77) | 3,458 (854) | |||
Gender | ||||||
Male | 278 (81%) | 202 (82) | 3,586 (854) | |||
Female | 66 (19%) | 153 (89) | 3,789 (946) | |||
Race | ||||||
White | 327 (96%) | 194 (85) | 3,637 (869) | |||
Non-White | 13 (4%) | 169 (97) | 3,250 (1,009) | |||
Education | ||||||
<College | 94 (27%) | 187 (87) | 3,581 (937) | |||
≥College | 250 (73%) | 195 (85) | 3,642 (852) | |||
Cigarette smoking | ||||||
Never | 117 (34%) | 205 (91) | 3,716 (950) | |||
Former | 191 (56%) | 191 (82) | 3,570 (813) | |||
Current | 36 (10%) | 163 (82) | 3,622 (938) | |||
Body mass index (kg/m2) | ||||||
<28.7 | 171 (50%) | 193 (88) | 3,561 (876) | |||
>28.7 | 171 (50%) | 193 (83) | 3,686 (876) | |||
Waist/hip | ||||||
<0.96 | 170 (50%) | 194 (26) | 3,656 (881) | |||
>0.96 | 173 (50%) | 192 (83) | 3,595 (873) | |||
Selenium levels (μmol/L) | ||||||
<1.71 | 177 (51%) | 186 (84) | 3,529 (851) | |||
>1.71 | 167 (49%) | 201 (86) | 3,727 (890) | |||
NSAID use | ||||||
Never | 143 (42%) | 201 (86) | 3,687 (843) | |||
Former | 73 (21%) | 190 (89) | 3,724 (908) | |||
Current | 125 (37%) | 186 (83) | 3,495 (891) | |||
Total subjects | 344 | 193 (86) | 3,625 (875) |
. | n* . | IGF-I (ng/mL), mean (SD) . | IGFBP-3 (ng/mL), mean (SD) . | |||
---|---|---|---|---|---|---|
Age (y) | ||||||
<55 | 108 (31%) | 231 (90) | 3,991 (811) | |||
>55 | 236 (69%) | 175 (77) | 3,458 (854) | |||
Gender | ||||||
Male | 278 (81%) | 202 (82) | 3,586 (854) | |||
Female | 66 (19%) | 153 (89) | 3,789 (946) | |||
Race | ||||||
White | 327 (96%) | 194 (85) | 3,637 (869) | |||
Non-White | 13 (4%) | 169 (97) | 3,250 (1,009) | |||
Education | ||||||
<College | 94 (27%) | 187 (87) | 3,581 (937) | |||
≥College | 250 (73%) | 195 (85) | 3,642 (852) | |||
Cigarette smoking | ||||||
Never | 117 (34%) | 205 (91) | 3,716 (950) | |||
Former | 191 (56%) | 191 (82) | 3,570 (813) | |||
Current | 36 (10%) | 163 (82) | 3,622 (938) | |||
Body mass index (kg/m2) | ||||||
<28.7 | 171 (50%) | 193 (88) | 3,561 (876) | |||
>28.7 | 171 (50%) | 193 (83) | 3,686 (876) | |||
Waist/hip | ||||||
<0.96 | 170 (50%) | 194 (26) | 3,656 (881) | |||
>0.96 | 173 (50%) | 192 (83) | 3,595 (873) | |||
Selenium levels (μmol/L) | ||||||
<1.71 | 177 (51%) | 186 (84) | 3,529 (851) | |||
>1.71 | 167 (49%) | 201 (86) | 3,727 (890) | |||
NSAID use | ||||||
Never | 143 (42%) | 201 (86) | 3,687 (843) | |||
Former | 73 (21%) | 190 (89) | 3,724 (908) | |||
Current | 125 (37%) | 186 (83) | 3,495 (891) | |||
Total subjects | 344 | 193 (86) | 3,625 (875) |
Number of subjects may not add up to 344 due to missing values for some variables.
. | ≤Median . | >Median . | Ptrend* . | |||
---|---|---|---|---|---|---|
IGF-I† | ||||||
Tetraploidy | ||||||
Yes (n = 42) | 54.8 | 45.2 | ||||
No (n = 267) | 49.8 | 50.2 | ||||
HR‡ | 1.0 | 1.1 (0.6-2.3) | 0.62 | |||
Aneuploidy | ||||||
Yes (n = 35) | 45.7 | 54.3 | ||||
No (n = 274) | 51.1 | 48.9 | ||||
HR‡ | 1.0 | 0.9 (0.4-1.9) | 0.74 | |||
Cancer | ||||||
Yes (n = 38) | 42.1 | 57.9 | ||||
No (n = 306) | 51.0 | 49.0 | ||||
HR‡ | 1.0 | 1.3 (0.6-2.8) | 0.32 | |||
IGFBP-3§ | ||||||
Tetraploidy | ||||||
Yes (n = 42) | 54.8 | 45.2 | ||||
No (n = 267) | 50.6 | 49.4 | ||||
HR‡ | 1.0 | 0.91 (0.5-1.9) | 0.93 | |||
Aneuploidy | ||||||
Yes (n = 35) | 31.4 | 68.6 | ||||
No (n = 274) | 51.5 | 48.5 | ||||
HR‡ | 1.0 | 2.7 (1.2-6.0) | 0.02 | |||
Cancer | ||||||
Yes (n = 38) | 42.1 | 57.9 | ||||
No (n = 306) | 51.0 | 49.0 | ||||
HR‡ | 1.0 | 1.3 (0.6-2.8) | 0.61 | |||
IGF-I/IGFBP-3∥ | ||||||
Tetraploidy | ||||||
Yes (n = 42) | 59.5 | 40.5 | ||||
No (n = 267) | 52.4 | 47.6 | ||||
HR‡ | 1.0 | 1.0 (0.5-2.9) | 0.60 | |||
Aneuploidy | ||||||
Yes (n = 35) | 54.3 | 45.7 | ||||
No (n = 274) | 52.2 | 47.8 | ||||
HR‡ | 1.0 | 1.0 (0.7-1.4) | 0.10 | |||
Cancer | ||||||
Yes (n = 38) | 39.5 | 60.5 | ||||
No (n = 306) | 53.3 | 46.7 | ||||
HR‡ | 1.0 | 1.8 (0.9-359) | 0.10 |
. | ≤Median . | >Median . | Ptrend* . | |||
---|---|---|---|---|---|---|
IGF-I† | ||||||
Tetraploidy | ||||||
Yes (n = 42) | 54.8 | 45.2 | ||||
No (n = 267) | 49.8 | 50.2 | ||||
HR‡ | 1.0 | 1.1 (0.6-2.3) | 0.62 | |||
Aneuploidy | ||||||
Yes (n = 35) | 45.7 | 54.3 | ||||
No (n = 274) | 51.1 | 48.9 | ||||
HR‡ | 1.0 | 0.9 (0.4-1.9) | 0.74 | |||
Cancer | ||||||
Yes (n = 38) | 42.1 | 57.9 | ||||
No (n = 306) | 51.0 | 49.0 | ||||
HR‡ | 1.0 | 1.3 (0.6-2.8) | 0.32 | |||
IGFBP-3§ | ||||||
Tetraploidy | ||||||
Yes (n = 42) | 54.8 | 45.2 | ||||
No (n = 267) | 50.6 | 49.4 | ||||
HR‡ | 1.0 | 0.91 (0.5-1.9) | 0.93 | |||
Aneuploidy | ||||||
Yes (n = 35) | 31.4 | 68.6 | ||||
No (n = 274) | 51.5 | 48.5 | ||||
HR‡ | 1.0 | 2.7 (1.2-6.0) | 0.02 | |||
Cancer | ||||||
Yes (n = 38) | 42.1 | 57.9 | ||||
No (n = 306) | 51.0 | 49.0 | ||||
HR‡ | 1.0 | 1.3 (0.6-2.8) | 0.61 | |||
IGF-I/IGFBP-3∥ | ||||||
Tetraploidy | ||||||
Yes (n = 42) | 59.5 | 40.5 | ||||
No (n = 267) | 52.4 | 47.6 | ||||
HR‡ | 1.0 | 1.0 (0.5-2.9) | 0.60 | |||
Aneuploidy | ||||||
Yes (n = 35) | 54.3 | 45.7 | ||||
No (n = 274) | 52.2 | 47.8 | ||||
HR‡ | 1.0 | 1.0 (0.7-1.4) | 0.10 | |||
Cancer | ||||||
Yes (n = 38) | 39.5 | 60.5 | ||||
No (n = 306) | 53.3 | 46.7 | ||||
HR‡ | 1.0 | 1.8 (0.9-359) | 0.10 |
Ptrend values are based on quartile variables.
IGF-I median (ng/mL), 186.159, additional adjustment for IGFBP-3 levels.
Adjusted for gender, smoking status (current, former, or nonsmoker), quartiles of age, and waist/hip ratios.
IGFBP-3 median (ng/mL), 3,634.9, additional adjustment for IGF-I levels.
IGF-I/IGFBP-3 (molar ratio) median, 0.1909.
The number of CA repeats in IGF-I ranged from 11 to 24 (data not shown) with the (CA)19 allele being the most common (64%), followed by (CA)20 at 19%. For IGFBP-3 A-202C polymorphism, the C allele (56%) had a higher frequency than the A allele. For IGF-IR, the (AGG)7 (58%) and (AGG)6 (41%) alleles were the most common (range of repeats, 5-8), and ∼30% of the study participants carried a 2-bp deletion in IGF-IR.
The IGF-I (CA)19/(CA)19 genotype was associated with lower IGF-I serum concentrations than IGF-I genotypes with non-19 repeats (Ptrend = 0.04, after adjusting for age and gender Ptrend = 0.01; Table 4). Similarly, adjusted mean serum concentrations of IGFBP-3 were significantly lower (Ptrend = 0.002) among carriers of IGFBP-3 AC and CC genotypes.
. | n* . | Arithmetic mean (SD) . | Arithmetic mean (SD) . |
---|---|---|---|
IGF-I (CA)19 genotypes | IGF-I (ng/mL) | IGF-I (ng/mL), adjusted† | |
(CA)19/(CA)19 | 136 (40%) | 180 (78) | 178 (79) |
(CA)19/(CA)non-19 | 166 (48%) | 205 (87) | 193 (79) |
(CA)non-19/(CA)non-19 | 41 (12%) | 190 (99) | 209 (80) |
P‡ | 0.04 | 0.01 | |
Overall mean | 193 (86) | ||
IGFBP-3 −202 A/C genotypes | IGFBP-3 (ng/mL) | IGFBP-3 (ng/mL), adjusted† | |
AA | 65 (19%) | 3,897 (806) | 3,819 (822) |
AC | 171 (50%) | 3,611 (907) | 3,602 (819) |
CC | 107 (31%) | 3,478 (834) | 3,384 (821) |
P‡ | 0.009 | 0.002 | |
Overall mean | 3624 (876) |
. | n* . | Arithmetic mean (SD) . | Arithmetic mean (SD) . |
---|---|---|---|
IGF-I (CA)19 genotypes | IGF-I (ng/mL) | IGF-I (ng/mL), adjusted† | |
(CA)19/(CA)19 | 136 (40%) | 180 (78) | 178 (79) |
(CA)19/(CA)non-19 | 166 (48%) | 205 (87) | 193 (79) |
(CA)non-19/(CA)non-19 | 41 (12%) | 190 (99) | 209 (80) |
P‡ | 0.04 | 0.01 | |
Overall mean | 193 (86) | ||
IGFBP-3 −202 A/C genotypes | IGFBP-3 (ng/mL) | IGFBP-3 (ng/mL), adjusted† | |
AA | 65 (19%) | 3,897 (806) | 3,819 (822) |
AC | 171 (50%) | 3,611 (907) | 3,602 (819) |
CC | 107 (31%) | 3,478 (834) | 3,384 (821) |
P‡ | 0.009 | 0.002 | |
Overall mean | 3624 (876) |
Total n = 343.
Adjustment for age and gender.
ANOVA (F statistics) for difference in means.
There was a trend toward an association between presence of the IGF-I (CA)19 allele (negatively) or the IGF-IR 2-bp deletion allele (positively) and the risk of esophageal adenocarcinoma and tetraploidy, respectively (Table 5). The aforementioned associations did not significantly change after adjusting for serum IGF-I concentrations. No association was observed between the studied polymorphisms in IGFBP-3, IGF-IR, and the risk of esophageal adenocarcinoma. The IGFBP-3 C/C genotype showed a modest (but not significant) association with aneuploidy and tetrapoloidy. The former association became stronger and significant [the HRs comparing AC and CC with AA genotypes were 2.8 (95% CI, 0.8-9.4) and 3.8 (95% CI, 1.0-14.0), respectively; Ptrend = 0.04] after adjusting for quartiles of serum concentration of IGF-I and IGFBP-3, waist-to-hip ratio, smoking status, gender, and age categories. We also observed a stronger positive association between serum concentrations of IGFBP-3 and risk of aneuploidy after adjustment for IGFBP-3 genotypes (Table 6).
. | n* . | Aneuploidy . | . | Tetraploidy . | . | Esophageal adenocarcinoma . | . | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
. | . | No. cases/no. controls . | HR (95% CI) . | No. cases/no. control . | HR (95% CI) . | No. cases/no. controls . | HR (95% CI) . | |||||||
IGF-I (CA)19 genotypes | ||||||||||||||
(CA)19/(CA)19 | 136 (40%) | 13/111 | 1 | 17/111 | 1 | 16/120 | 1 | |||||||
(CA)19/(CA)non-19 | 166 (48%) | 17/128 | 0.9 (0.5-2.3) | 18/125 | 0.9 (0.8-1.8) | 19/147 | 1.0 (0.5-1.9) | |||||||
(CA)non-19/(CA)non-19 | 41 (12%) | 5/34 | 1.1 (0.7-2.9) | 7/30 | 1.1 (0.4-2.6) | 3/38 | 0.5 (0.2-1.8) | |||||||
Ptrend | 0.9 | 1.0 | 0.4 | |||||||||||
IGFBP-3 −202 A/C genotypes | ||||||||||||||
AA | 65 (19%) | 3/55 | 1 | 6/51 | 1 | 10/55 | 1 | |||||||
AC | 171 (50%) | 19/135 | 2.4 (0.7-8.2) | 20/137 | 1.2 (0.5-3.0) | 15/156 | 0.6 (0.3-1.3) | |||||||
CC | 107 (31%) | 13/83 | 2.6 (0.7-9.1) | 16/78 | 1.6 (0.6-4.1) | 13/94 | 0.8 (0.4-1.9) | |||||||
Ptrend | 0.2 | 0.3 | 0.8 | |||||||||||
IGF-IR genotypes | ||||||||||||||
AGG repeats | ||||||||||||||
7,7 | 111 (32%) | 13/89 | 1 | 14/88 | 1 | 14/97 | 1 | |||||||
7,6 | 174 (51%) | 15/140 | 0.7 (0.3-1.5) | 19/137 | 0.9 (0.4-1.8) | 20/154 | 0.9 (0.4-9.8) | |||||||
6,6 | 54 (16%) | 6/41 | 0.9 (0.3-2.3) | 8/39 | 1.0 (0.4-2.5) | 3/51 | 0.4 (0.1-1.4) | |||||||
Others | 4 (1%) | 1/3 | 2.6 (0.3-19.7) | 1/2 | 2.8 (0.4-21.7) | 1/3 | 2.3 (0.3-17.5) | |||||||
Ptrend | 0.9 | 0.8 | 0.3 | |||||||||||
2-bp deletion | ||||||||||||||
No deletion | 167 (49%) | 17/132 | 1 | 17/135 | 1 | 15/152 | 1 | |||||||
Heterozygote | 143 (42%) | 14/116 | 0.9 (0.5-1.9) | 19/107 | 1.3 (0.7-2.5) | 19/124 | 1.5 (0.8-3.0) | |||||||
Homozygote | 33 (9%) | 4/25 | 1.4 (0.5-4.3) | 6/24 | 2.3 (0.9-5.9) | 4/29 | 1.5 (0.5-4.6) | |||||||
Ptrend | 0.4 | 0.1 | 0.3 |
. | n* . | Aneuploidy . | . | Tetraploidy . | . | Esophageal adenocarcinoma . | . | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
. | . | No. cases/no. controls . | HR (95% CI) . | No. cases/no. control . | HR (95% CI) . | No. cases/no. controls . | HR (95% CI) . | |||||||
IGF-I (CA)19 genotypes | ||||||||||||||
(CA)19/(CA)19 | 136 (40%) | 13/111 | 1 | 17/111 | 1 | 16/120 | 1 | |||||||
(CA)19/(CA)non-19 | 166 (48%) | 17/128 | 0.9 (0.5-2.3) | 18/125 | 0.9 (0.8-1.8) | 19/147 | 1.0 (0.5-1.9) | |||||||
(CA)non-19/(CA)non-19 | 41 (12%) | 5/34 | 1.1 (0.7-2.9) | 7/30 | 1.1 (0.4-2.6) | 3/38 | 0.5 (0.2-1.8) | |||||||
Ptrend | 0.9 | 1.0 | 0.4 | |||||||||||
IGFBP-3 −202 A/C genotypes | ||||||||||||||
AA | 65 (19%) | 3/55 | 1 | 6/51 | 1 | 10/55 | 1 | |||||||
AC | 171 (50%) | 19/135 | 2.4 (0.7-8.2) | 20/137 | 1.2 (0.5-3.0) | 15/156 | 0.6 (0.3-1.3) | |||||||
CC | 107 (31%) | 13/83 | 2.6 (0.7-9.1) | 16/78 | 1.6 (0.6-4.1) | 13/94 | 0.8 (0.4-1.9) | |||||||
Ptrend | 0.2 | 0.3 | 0.8 | |||||||||||
IGF-IR genotypes | ||||||||||||||
AGG repeats | ||||||||||||||
7,7 | 111 (32%) | 13/89 | 1 | 14/88 | 1 | 14/97 | 1 | |||||||
7,6 | 174 (51%) | 15/140 | 0.7 (0.3-1.5) | 19/137 | 0.9 (0.4-1.8) | 20/154 | 0.9 (0.4-9.8) | |||||||
6,6 | 54 (16%) | 6/41 | 0.9 (0.3-2.3) | 8/39 | 1.0 (0.4-2.5) | 3/51 | 0.4 (0.1-1.4) | |||||||
Others | 4 (1%) | 1/3 | 2.6 (0.3-19.7) | 1/2 | 2.8 (0.4-21.7) | 1/3 | 2.3 (0.3-17.5) | |||||||
Ptrend | 0.9 | 0.8 | 0.3 | |||||||||||
2-bp deletion | ||||||||||||||
No deletion | 167 (49%) | 17/132 | 1 | 17/135 | 1 | 15/152 | 1 | |||||||
Heterozygote | 143 (42%) | 14/116 | 0.9 (0.5-1.9) | 19/107 | 1.3 (0.7-2.5) | 19/124 | 1.5 (0.8-3.0) | |||||||
Homozygote | 33 (9%) | 4/25 | 1.4 (0.5-4.3) | 6/24 | 2.3 (0.9-5.9) | 4/29 | 1.5 (0.5-4.6) | |||||||
Ptrend | 0.4 | 0.1 | 0.3 |
Total number of cases and controls may not add up to 343 due to exclusion criteria in each end-point analysis.
Biomarker . | ≤Median . | >Median . | Ptrend* . |
---|---|---|---|
IGFBP-3 | 1.0 | 2.7 (1.2-6.0) | 0.02 |
IGFBP-3 (adjusted)† | 1.0 | 3.3 (1.5-7.5) | <0.01 |
Biomarker . | ≤Median . | >Median . | Ptrend* . |
---|---|---|---|
IGFBP-3 | 1.0 | 2.7 (1.2-6.0) | 0.02 |
IGFBP-3 (adjusted)† | 1.0 | 3.3 (1.5-7.5) | <0.01 |
NOTE: HR, adjusted for age categories, gender, smoking status, and quartiles of waist/hip ratios and median splits of IGF-I.
Ptrend values are based on quartile variables.
Additional adjustment for three categories of IGFBP-3 −202 A/C genotypes as listed in Table 5.
Discussion
We did not detect a significant association between circulating IGF-I concentrations or IGF-I/IGFBP-3 molar ratio and the development of esophageal adenocarcinoma or its precursors. However, after adjusting for major risk factors, we found that higher concentrations of IGFBP-3 were associated with an increased risk of aneuploidy, possibly suggesting a role for IGFBP-3 in early stages of cancer development. In analyses adjusting for IGFBP-3 along with major risk factors, we also found suggestive evidence that persons with the IGFBP-3 C/C genotype may be at moderately elevated risk of developing flow cytometric abnormalities.
There are no other studies, to our knowledge, that report an association between IGFBP-3 or related genotypes and esophageal adenocarcinoma. Other evidence supporting the role of IGFs in esophageal cancer development stem from studies of biological function and expression of the IGF system factors in esophageal cancer; IGF-I acts as a mitogen or growth stimulant in human esophageal cancer cell lines (45, 46) and IGFBP-3 mRNA is overexpressed in 80% of primary esophageal squamous cell carcinomas and 60% of primary esophageal adenocarcinoma (47).
We observed very little increase in the risk of esophageal adenocarcinoma among the subjects with higher than median serum concentrations of IGF-I [HR = 1.3 (95% CI, 0.6-2.8), comparing higher than median with the lower or equal; Table 3]. Given the lower serum concentrations of IGF-I among carriers of the (CA)19/(CA)19 genotype, we had expected to find a lower cancer risk in the (CA)19 allele carriers. Interestingly, we found the opposite. This is similar to our finding showing that the IGFBP-3 C/C genotype was associated with lower IGFBP-3 concentrations and a higher risk of aneuploidy. Our data support the hypothesis that the IGF-I (CA)19 allele and the IGFBP-3 C allele have effects independent of the circulating IGF-I and IGFBP-3 concentrations, respectively. However, the (CA)19 allele effect is not as strong as the C allele in relation to the outcomes, possibly explaining why we did not observe a significant change in the (CA)19 allele association with esophageal adenocarcinoma after adjustment for serum concentrations of IGF-I.
The frequencies of the (CA)19 and the (CA)20 alleles in our study (64% and 19%, respectively) are similar to previous reports (59-70% and 17%, respectively) among Caucasians (31, 48, 49). Allele frequencies for IGFBP-3 A-202 C and IGF-IR 2-bp deletion polymorphisms were also similar to those reported for Caucasians (38, 50). Our finding that the (CA)19 allele was related to a lower serum concentration of IGF-I is consistent with results from some (25, 26), but not all, studies (27, 51). Most previous studies adjusted for age or gender (31, 52). We found the IGF-I genotype-phenotype association had a clear trend after adjusting for age and gender (Table 4). Our results also support previous findings (27, 30) regarding the dose-dependent association between the presence of the IGFBP-3 A-202C C allele and a lower circulating IGFBP-3 concentration.
There was no significant association observed between risk of esophageal adenocarcinoma, tetraploidy, or aneuploidy and the 2-bp deletion in IGF-IR, although there was suggestion of an increase in risk of tetraploidy and esophageal adenocarcinoma. Other studies have shown the presence of IGF-IR in the human esophageal epithelium (53) and suggested that IGF may influence the development of colorectal (54), renal (55), and prostate (56) cancers through an auto/paracrine loop. Our data do not provide strong support for a similar association in esophageal adenocarcinoma. The effect of the 2-bp deletion on the IGF-IR expression/function is not well studied. There is a report of an association between IGF-IR mutations and intrauterine and postnatal growth retardation (57).
An important strength of our study is its longitudinal design, in which concentrations of IGF-I and IGFBP-3 were determined using samples obtained before the development of flow cytometry abnormalities or cancer among patients with Barrett's esophagus. Another strength is our use of intermediate abnormalities (aneuploidy and tetraploidy) that have been validated (11-13) as strong predictors for risk of esophageal adenocarcinoma as outcomes. Finally, the availability of data for major known or suspected risk factors for esophageal adenocarcinoma enabled us to control for possible confounding factors.
Our study has a number of limitations. The free fraction of IGF-I, which is considered the biologically active fraction, was not directly measured in our study. Instead, we measured total serum IGF-I and estimated the free IGF-I concentrations by adjusting for IGFBP-3 serum concentrations or by using IGF-I/IGFBP-3 molar ratio as a surrogate. However, IGF-I/IGFBP-3 is shown not to be an accurate approximation for free fraction of IGF-I (58). Another important limitation is the relatively small number of events recorded thus far, although ours is one of the largest prospective studies of participants with Barrett's esophagus. This small number of events resulted in somewhat imprecise point estimates and limited our ability to identify variations in risk in different subgroups. The minimum detectable relative risk, with a power of 80%, in our study was 2.5 to 3.7 (varies with the type of outcome and predictor). In addition, the IGF system is complex and we were not able to measure all of the components in our study, such as IGF-IR expression (59) and insulin (a regulator of IGFBP synthesis; ref. 60). Thus, the unmeasured variables could confound the association between serum IGF-I or IGFBP-3 and disease progression. Our study was based on a single measurement of IGF-I and IGFBP-3 serum concentrations using samples that had been collected and stored at −70°C for up to 8 years before assay. However, it is unlikely that these characteristics have adversely influenced our results, since there is evidence for the lack of appreciable seasonal and diurnal variation of IGF (61) and the lack of significant changes in IGF and IGF-related proteins in frozen serum after 5 to 9 years of storage (62, 63).
We used time-to-detection in our analysis. In the low-risk group with the longest (every 24 months) follow-ups, outcomes may develop any time within the 2-year period. Therefore, the time-to-detection may have underestimated the incidence rate in this group. Also, some participants may have had the outcome at baseline, but we failed to detect them.
In summary, this longitudinal study is the first to provide evidence for an increased risk of neoplastic progression among persons with Barrett's who have higher concentrations of IGFBP-3 at baseline or are carriers of IGFBP-3 C/C genotype. However, it does not support a relationship between IGF-I serum concentration and risk of esophageal adenocarcinoma. These findings, which should be considered preliminary in nature as they are based on small numbers and subject to several limitations, indicate a potential role of the complex IGF system in neoplastic progression among persons with Barrett's esophagus. However, a more comprehensive study with a larger number of events and the measurement of other key factors, such as IGF-IR, functional fraction of IGFBP-3, insulin, and diet, is needed to further delineate the possible role of the IGF system on esophageal adenocarcinoma progression.
Grant support: NIH National Cancer Institute grants R03 CA099897-01 and P01 CA091955.
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Acknowledgments
We thank Janine Kikuchi and Terri Watson for database management, Christine Karlsen for coordination of patient care, Valerie Cerera for coordination of research biopsies and flow cytometry, Tricia Christopherson for management of patient interviews and data collection, Drs. Eugene Huang, Mohammad Siahpush, and Mir S. Siadaty for statistical consultations, and the study interviewers and many participants in the Seattle Barrett's Esophagus Project who made this study possible with their generous contributions of time and commitment to research.