Somatic alterations, metabolizing genes and smoking in rectal cancer†
The contents of this manuscript are solely the responsibility of the authors and do not necessarily represent the official view of the National Cancer Institute.
Cigarette smoking has been identified as a risk factor for rectal cancer. Our investigation evaluates associations between active and passive smoking and TP53, KRAS2, and BRAF V600E mutations, microsatellite instability (MSI), and CpG Island Methylator Phenotype (CIMP) in rectal tumors. We examine how genetic variants of GSTM1 and NAT2 alter these associations in a population-based, case–control study of 750 incident rectal cancer cases and 1,201 controls. Detailed tobacco exposure data were collected in an extensive questionnaire. DNA from blood was examined for GSTM1 and NAT2 variants. Tumor DNA was assessed to determine TP53 (exons 5–8), KRAS2 (codons 12–13) and BRAF mutations, MSI (BAT26 and TGFβRII analysis), and CIMP (methylation of CpG islands in CDKN2A, MLH1, MINT1, MINT2 and MINT31). Cigarette smoking (>20 pack-years, relative to nonsmokers) was associated with increased risk of TP53 mutations (OR = 1.4, 95% CI 1.02–2.0), BRAF mutations (OR = 4.2, 95% CI 1.3–14.2) and MSI (OR = 5.7, 95% CI 1.1–29.8) in rectal tumors. Long-term environmental tobacco smoke (ETS) exposure of >10 hr/wk was associated with increased risk of KRAS2 mutation (OR = 1.5, 95% CI 1.04–2.2). All smoking indicators were suggestive of increased risk in CIMP+ rectal cancer. GSTM1 and NAT2 were generally not associated with rectal tumor alterations; however, we observed an interaction of ETS and NAT2 in TP53-mutated tumors (p < 0.01). Our investigation shows active smoking is associated with increased risk of TP53, BRAF and MSI+ in rectal tumors and is suggestive of increased risk of CIMP+ tumors. ETS may increase risk of KRAS2 mutations; association with TP53 mutations and ETS may be influenced by NAT2. © 2009 UICC
Cigarette smoking, both active and passive, have been identified as risk factors for rectal cancer in case–control and cohort studies.1–6 Recent smokers and those that have smoked many pack-years of cigarettes have been estimated to have from a 50% increase to a doubling of risk of rectal cancer compared with nonsmokers.1–4 Long-term exposure to environmental tobacco smoke (ETS) was reported to increase risk of rectal cancer by 50% in a large case–control investigation1; other cohort studies have observed an association of ETS and rectal cancer in men4 and in women.6
The association between cigarette smoking and rectal cancer may be impacted by the ability to detoxify polycyclic aromatic hydrocarbons (PAH) generated from cigarette smoking. Genetic variants in glutathione S-transferases (e.g.,GSTM1) or N-acetyltransferase (NAT2), Phase II metabolizing enzymes, may be important components of an individual's ability to detoxify carcinogens.7–9 It has previously been shown that among recent cigarette smokers, the GSTM1 null phenotype was associated with an elevated risk of rectal cancer,1, 10 and we observed that the NAT2-imputed rapid acetylators were at slightly lower increased risk of rectal cancer than slow acetylators.1 Previous studies of colon cancer have reported the NAT2 rapid-acytelator imputed phenotype is associated with slightly higher risk for different measures of smoking status.11, 12
It has been suggested that different types of TP53 mutations observed in Japanese and Western populations may result from different exposures and also may be influenced by germline polymorphisms involved in carcinogen metabolism.13 In our previous investigation of colon cancer, cigarette smoking was associated with increased risk of TP53 transversion mutations among those who were GSTM1 positive.14 We have also reported a direct association between smoking and microsatellite instability (MSI), CpG Island Methylator phenotype (CIMP) and BRAF V600E mutations in colon tumors.15, 16 In this population-based case–control study of 750 incident rectal cancer cases with tumor DNA and 1201 sex- and age-matched controls, we evaluate the relationship of cigarette smoking and ETS to somatic alterations (TP53 mutation, KRAS2 mutation, CIMP, BRAF V600E and MSI) in rectal tumors. Given our previous work, we also assess whether genetic variants of GSTM1 and NAT2 metabolizing enzymes influence risk associated with specific types of rectal tumor mutations.
Material and methods
Participants were from the Kaiser Permanente Medical Care Program (KPMCP) of Northern California and the state of Utah. Cases with a first primary tumor in the rectosigmoid junction or rectum were identified between May 1997 and May 2001. Case eligibility was determined by the Surveillance Epidemiology and End Results (SEER) Cancer Registries in Northern California and Utah. Case eligibility included no previous colorectal tumor, between ages 30 and 79 years at diagnosis, English speaking, and mentally competent to complete the interview. Cases with known (as indicated on the pathology report) familial adenomatous polyposis, ulcerative colitis, or Crohn's disease were not eligible. Using the same case eligibility criteria, controls were selected to match cases by sex and 5-year age cohort. Additionally, controls could not have had a previous colon or rectal cancer. The study response rate was 65.2% for cases and 65.3% for controls.1
Data were collected by trained and certified interviewers using laptop computers. The self-reported race/ethnicity of study participants was 82% white and non-Hispanic, 7.6% Hispanic, 4.6% Asian, 4.1% African American, 0.7% Native American, and 1% multiple races/ethnicities. The referent period participants were asked to recall was the year that occurred 2 years before the date of case diagnosis or control selection.
Cigarette smoking history and long-term exposure to passive cigarette smoke both inside and outside the home (ETS) were collected.1 Participants were asked if they ever smoked on a regular bases, or at least 100 cigarettes in their lifetime. Those who answered “yes” were asked the usual number of cigarettes smoked per day while smoking, ages started and stopped smoking and total number of years smoked. Pack-years of cigarettes smoked was determined by multiplying the usual number of cigarettes smoked per day by total years of smoking cigarettes, and dividing by 20 or a pack of cigarettes. Exposure to ETS was obtained by asking the usual number of hours per week of exposure in the home and outside the home to cigarette smoke of others, for the referent period and 10 and 20 years ago.1 Other information obtained in the interview included physical activity performed over the past 20 years, reported height and weight during the referent year, long-term alcohol use as well as detailed alcohol consumption during the referent year, family history of cancer, use of aspirin and nonsteroidal anti-inflammatory drugs, and a detailed dietary intake.
Tumor DNA was obtained from paraffin-embedded tissue as described.17 Tumors were characterized by their genetic profile that included sequence data for exons 5 through 8, the mutation hotspots of the TP53 gene; sequence data for KRAS2 codons 12 and 13; methylation-specific PCR of sodium bisulfite modified DNA for 5 CpG Island markers, CDKN2A (p16), MLH1 and methylated in tumors (MINT) 1, 2 and 3118; the V600E BRAF mutation by TaqMan assay19; and MSI by instability in the mononucleotide repeat BAT26 (for ∼95% of tumors) and by a coding mononucleotide repeat in TGFβRII (for ∼5% of tumors in which BAT26 failed).
Tumors with 2 or more methylated CpG islands were scored as CIMP+. At this time, there is no “consensus” as to the appropriate CpG island panel or method of detection to determine CIMP. However, we have used our panel to demonstrate significant relationships between CIMP and numerous clinicopathologic variables, including cigarette smoking and the BRAF V600E mutation, which were independent of microsatellite instability.16, 18 This work has also helped to support the legitimacy of the CIMP concept.20
Our MSI assessment preceded the Bethesda consensus panel; however, BAT26 by itself is a very good measure of generalized instability,21 and we have shown high correlations between instability in BAT26 and TGFβRII and the Bethesda consensus panel.22, 23 In the assessment of MSI, germline DNA obtained from normal tissue in the paraffin blocks or from blood samples provided by study participants was used to verify that BAT26 and TGFβRII alterations were acquired rather than inherited.
DNA was extracted from blood drawn on study participants. The GSTM1 null genotype was detected using the PCR method described by Zhong et al.,24 and 3 variants of NAT2 (481C>T, 590G>A and 857A>G) were assessed using the method of Bell et al.25 and used to impute phenotype, as previously detailed.1 The PCR reaction for GSTM1 uses 3 primers. The P3 primer sequence is specific to GSTM1 and when used with P1 results in a 230-bp product. The P1-P2 primer pair is nonspecific for GSTM1 and results in a 157-bp product. The PCR products are run on a 2% agarose gel and stained with ethidium bromide. If only the 157-bp product is displayed, the sample is classified as GSTM1 null, whereas if both bands are present, it is classified as GSTM1 positive.
All 3 NAT2 variants could be identified from 1 PCR product and digested with 3 different restriction enzymes (481C>T, KpnI digest; 50G>A, TaqI digest, and 857A>G, BamHI digest). These 3 variants account for ∼95% of the slow acetylation phenotype in white. Individuals with at least 2 variant alleles were classified as slow acetylators, while those with 1 or no variant alleles were classified as rapid acetylators.
Study participants who smoked within 5 years of the referent period were considered recent smokers; former smokers were those individuals who had smoked on a regular basis sometime during their life, but not within the past 5 years. The cutpoints for pack-years smoked and passive smoke exposure (averaged over the referent period and 10 and 20 years ago) were based on the distribution in controls.1 Associations were evaluated using an unconditional multiple polytomous logistic regression model and adjusting for age at diagnosis or selection, sex, race/ethnicity, center (KPMCP or Utah), and long-term alcohol use. Other potentially confounding variables, including physical activity level and body size, did not substantively impact the estimates and therefore were not included in the final models presented. In addition, passive smoke associations were adjusted for active cigarette smoking. SAS 9.1 was used for all analyses. p-Values for trends for frequency categories of pack-years smoked and long-term ETS were calculated using a likelihood ratio test of a full model with categorical exposure category as a continuous variable compared with a restricted model without an exposure variable.26p-Values for interactions were determined by comparing a full model including an ordinal multiplicative interaction term to a reduced model without an interaction term, using a likelihood ratio test.
The distributions of somatic mutations in rectal tumors by recent cigarette smoking status (never or regularly smoked cigarettes within 5 years of the referent year) and GSTM1 genotype and NAT2 imputed phenotype is shown in Table I. TP53, KRAS2, CIMP, BRAF and MSI mutation/alteration status was not associated with recent smoking, GSTM1 genotype or NAT2 phenotype in case subjects (chi-square test). In contrast to TP53 or KRAS2 mutations, MSI and BRAF mutations occur infrequently in rectal cancers, in only 2% and 3% of tumors, respectively.27 There were no significant differences in tumor distribution by gender or age at diagnosis/control selection (data not shown in Table I).
Table I. Distributions of Types of Mutations in Rectal Tumors and Smoking, GSTM1 and NAT2 Status
|Control subjects||1,201|| ||189||(15.8)||1009||(84.2)|| ||465||(46.0)||545||(54.0)|| ||520||(52.7)||467||(47.3)|| |
|Case subjects||750|| ||149||(19.9)||599||(80.1)||0.02||310||(49.0)||323||(51.0)||0.25||328||(54.6)||273||(45.4)||0.46|
|Cases with TP53 mutation||338||(48.2)||62||(18.4)||275||(81.6)||0.40||142||(48.6)||150||(51.4)||0.91||157||(56.5)||121||(43.5)||0.48|
|Cases with KRAS2 mutation||214||(28.9)||41||(19.3)||172||(80.8)||0.83||91||(50.3)||90||(49.7)||0.60||87||(51.2)||83||(48.8)||0.25|
|Cases with CIMP+ (≥2 of 5 markers)||74||(11.1)||16||(21.9)||57||(78.1)||0.42||36||(57.1)||27||(42.9)||0.15||27||(45.8)||32||(54.2)||0.09|
|Cases with BRAF mutation||18||(2.5)||5||(27.8)||13||(72.2)||0.41||9||(64.3)||5||(35.7)||0.24||5||(35.7)||9||(64.3)||0.15|
|Cases with MSI+||16||(2.2)||5||(31.3)||11||(68.8)||0.25||6||(42.9)||8||(57.1)||0.66||7||(50.0)||7||(50.0)||0.72|
In Table II, risk of rectal cancer associated with TP53, KRAS2 and CIMP status and exposure to active smoking and ETS are shown. As previously reported, the highest category of pack-years smoked (>20 years) was associated with an increased risk of rectal cancer overall.1 An increased risk in smokers (pack-years smoked >20 years) was observed in tumors with a TP53 mutation. Similar to our previous report in colon tumors,14 we observed an increased risk of TP53 transversion mutations for highest level of pack-years smoked (>20 years), that was not observed for more common TP53 transition mutations (Table III). Long-term ETS exposure of >10 hr/wk, both inside and outside the home, was associated with a 1.5-fold increased risk of a KRAS2 mutation (Table II). When restricted to only those individuals who were lifetime nonsmokers, a similar but statistically nonsignificant increased risk of KRAS2 mutation was observed in those exposed to long-term ETS ≤10 hr/wk (OR 1.4, 95% CI 0.9–2.4) and in those with exposure of >10 hr/wk (OR 1.5, 95% CI 0.9–2.6), compared with those not exposed (data not shown in Table II). Although active smoking was not associated with KRAS2 mutations overall, a significant doubling of risk of KRAS2 transition mutations, the majority occurring in the codon 12 mutation hotspot, in recent smokers (within 5 years of the referent year) was observed (Table III). In contrast to TP53 and KRAS2 mutations that appear to be related to specific indicators of cigarette smoke exposure, a 50% increased risk was observed in CIMP+ tumors for all indicators of smoking; however, these associations were not statistically significant, given that CIs were imprecise due to small numbers. More than 20 pack-years of smoking was significantly associated with an increased risk of BRAF mutation and an increased risk of MSI+ rectal cancer compared with nonsmokers. There were no independent associations of GSTM1 and NAT2 and type of rectal tumor mutation or alteration, with the exception of KRAS2 transversion mutations, in which a GSTM1 null genotype conferred a decreased risk compared with GSTM1 positive (Table III).
Table II. Risk of Rectal Cancer Associated With TP53 Mutation, KRAS2 Mutation, CIMP, BRAF V600E, and MSI and Smoking Exposure or Metabolizing Genes1,2
| Never/former||1,008||598||1.0||-Ref-|| ||274||1.0||-Ref-|| ||172||1.0||-Ref-|| ||57||1.0||-Ref-|| ||13||1.0||-Ref-|| ||10||1.0||-Ref-|| |
| Recent <5 yr||189||148||1.3||(1.0–1.6)|| ||62||1.2||(0.8–1.6)|| ||41||1.3||(0.8–1.9)|| ||16||1.5||(0.8–2.8)|| ||5||2.1||(0.7–6.3)|| ||4||2.1||(0.6–7.3)|| |
| None||625||351||1.0||-Ref-|| ||165||1.0||-Ref-|| ||105||1.0||-Ref-|| ||36||1.0||-Ref-|| ||6||1.0||-Ref-|| ||3||1.0||-Ref-|| |
| ≤20 yr||299||153||0.9||(0.7–1.1)|| ||69||0.8||(0.6–1.2)|| ||48||0.9||(0.6–1.4)|| ||11||0.6||(0.3–1.3)|| ||3||1.2||(0.3–5.5)|| ||6||4.9||(1.1–21.6)|| |
| >20 yr||271||241||1.6||(1.2–2.0)||<0.01||101||1.4||(1.0–2.0)||0.06||60||1.3||(0.9–1.9)||0.24||26||1.5||(0.8–2.8)||0.22||9||4.2||(1.3–14.2)||0.02||5||5.7||(1.1–29.8)||0.04|
| None||408||210||1.0||-Ref-|| ||109||1.0||-Ref-|| ||57||1.0||-Ref-|| ||18||1.0||-Ref-|| ||4||1.0||-Ref-|| ||5||1.0||-Ref-|| |
| ≤10 hr/wk||367||220||1.1||(0.9–1.4)|| ||93||0.9||(0.7–1.3)|| ||63||1.2||(0.8–1.8)|| ||27||1.7||(0.9–3.1)|| ||8||1.9||(0.6–6.7)|| ||5||0.9||(0.3–3.4)|| |
| >10 hr/wk||419||314||1.4||(1.1–1.7)||0.01||133||1.1||(0.8–1.5)||0.43||92||1.5||(1.04–2.2)||0.03||29||1.5||(0.8–2.8)||0.34||6||1.1||(0.3–4.4)||0.83||6||0.9||(0.2–3.2)||0.74|
| Positive||464||310||1.0||-Ref-|| ||142||1.0||-Ref-|| ||91||1.0||-Ref-|| ||36||1.0||-Ref-|| ||9||1.0||-Ref-|| ||6||1.0||-Ref-|| |
| Null||543||320||0.9||(0.7–1.1)|| ||148||0.9||(0.7–1.1)|| ||89||0.8||(0.6–1.2)|| ||26||0.6||(0.4–1.0)|| ||5||0.5||(0.2–1.4)|| ||8||1.1||(0.4–3.3)|| |
| Slow||519||325||1.0||-Ref-|| ||155||1.0||-Ref-|| ||86||1.0||-Ref-|| ||26||1.0||-Ref-|| ||5||1.0||-Ref-|| ||7||1.0||-Ref-|| |
| Rapid||465||273||0.9||(0.7–1.1)|| ||121||0.8||(0.6–1.1)|| ||83||1.1||(0.8–1.5)|| ||32||1.4||(0.8–2.3)|| ||9||2.0||(0.6–6.5)|| ||7||1.2||(0.4–3.4)|| |
Table III. Risk of Rectal Cancer Associated With TP53 and KRAS2 Transition and Transversion Mutations and Smoking Exposure or Metabolizing Genes1,2
| Never/former||1008||203||1.0||-Ref-|| ||53||1.0||-Ref-|| ||104||1.0||-Ref-|| ||68||1.0||-Ref-|| |
| Recent <5 yr||189||42||1.1||(0.7–1.6)|| ||15||1.5||(0.8–2.9)|| ||35||1.9||(1.2–2.9)|| ||6||0.4||(0.2–1.0)|| |
| None||625||121||1.0||-Ref-|| ||31||1.0||-Ref-|| ||65||1.0||-Ref-|| ||40||1.0||-Ref-|| |
| ≤20 yr||299||53||0.9||(0.6–1.3)|| ||13||0.9||(0.5–1.8)|| ||31||1.0||(0.6–1.6)|| ||17||0.9||(0.5–1.6)|| |
| >20 yr||271||70||1.3||(0.9–1.9)||0.17||22||1.9||(1.01–3.4)||0.01||43||1.5||(0.9–2.4)||0.10||17||1.0||(0.5–1.9)||0.88|
| None||408||80||1.0||-Ref-|| ||19||1.0||-Ref-|| ||37||1.0||-Ref-|| ||20||1.0||-Ref-|| |
| ≤10 hr/wk||367||71||0.9||(0.7–1.4)|| ||19||1.1||(0.6–2.1)|| ||35||1.0||(0.6–1.7)|| ||28||1.6||(0.9–2.9)|| |
| >10 hr/wk||419||93||1.1||(0.8–1.6)||0.58||30||1.5||(0.8–2.8)||0.23||67||1.6||(1.01–2.5)||0.03||5||1.4||(0.7–2.6)||0.32|
| Positive||464||109||1.0||-Ref-|| ||21||1.0||-Ref-|| ||53||1.0||-Ref-|| ||38||1.0||-Ref-|| |
| Null||543||105||0.8||(0.6–1.1)|| ||35||1.4||(0.8–2.4)|| ||65||1.1||(0.7–1.6)|| ||24||0.5||(0.3–0.9)|| |
| Slow||519||115||1.0||-Ref-|| ||31||1.0||-Ref-|| ||52||1.0||-Ref-|| ||34||1.0||-Ref-|| |
| Rapid||465||90||0.8||(0.6–1.2)|| ||22||0.7||(0.4–1.3)|| ||59||1.2||(0.8–1.8)|| ||24||0.8||(0.5–1.4)|| |
Interaction models of active and passive smoking and GSTM1 or NAT2 in rectal tumors by alteration type are shown in Tables IV and V, respectively. In Table IV, an interaction between recent smoking (within 5 years of the referent year) and imputed NAT2 rapid-acetylator phenotype was statistically nonsignificant in CIMP+ tumors (p = 0.10); however, recent smokers had a 2.5-fold increased risk of CIMP+ tumors compared with nonrecent smokers with a slow NAT2 phenotype, although the point estimate was imprecise due to small numbers. After adjusting for active smoking, individuals with long-term exposure to more than 10 hr of ETS per week (Table V) had an increased risk of TP53 mutation among those with an imputed NAT2 slow-acetylator phenotype, but not among those with a rapid phenotype (p interaction <0.01). Neither GSTM1 nor NAT2 significantly interacted with ETS to alter risk of other rectal tumor somatic alterations.
Table IV. Risk of Rectal Cancer Associated With TP53 Mutation, KRAS2 Mutation, CIMP and Metabolizing Genes, and Interaction With Recent Cigarette Smoking1,2
|All tumor types|
| Recent <5 yr||74||60||1.2||(0.8–1.8)||85||73||1.3||(0.9–1.8)||80||54||1.0||(0.7–1.5)||73||71||1.5||(1.02–2.1)|
| p-Interaction|| || || || || || || ||0.38|| || || || || || || ||0.04|
| Recent <5 yr||74||25||1.2||(0.7–1.9)||85||32||1.2||(0.8–2.0)||80||24||1.0||(0.6–1.6)||73||31||1.3||(0.8–2.1)|
| p-Interaction|| || || || || || || ||0.53|| || || || || || || ||0.09|
| Recent <5 yr||74||18||1.2||(0.7–2.2)||85||16||1.0||(0.5–1.8)||80||14||1.0||(0.5–1.9)||73||20||1.6||(0.9–2.8)|
| p-Interaction|| || || || || || || ||0.83|| || || || || || || ||0.22|
| Recent <5 yr||74||7||1.3||(0.5–3.2)||85||6||1.0||(0.4–2.5)||80||3||0.7||(0.2–2.5)||73||9||2.5||(1.1–6.0)|
| p-Interaction|| || || || || || || ||0.69|| || || || || || || ||0.10|
Table V. Risk of Rectal Cancer Associated With TP53 Mutation, KRAS2 Mutation, CIMP and Metabolizing Genes, and Interaction With ETS1,2
|All tumor types|
| No exposure||164||91||1.0||-Ref-||165||82||0.9||(0.6–1.3)||174||83||1.0||-Ref-||147||80||1.1||(0.7–1.6)|
| ≤10 hr/wk||138||90||1.2||(0.8–1.7)||176||98||1.0||(0.7–1.4)||168||97||1.2||(0.8–1.7)||141||84||1.2||(0.8–1.7)|
| >10 hr/wk||161||126||1.3||(0.9–1.8)||201||140||1.2||(0.8–1.6)||176||145||1.6||(1.1–2.2)||176||107||1.1||(0.8–1.6)|
| p-Interaction|| || || || || || || ||0.98|| || || || || || || ||0.07|
| No Exposure||164||46||1.0||-Ref-||165||47||1.1||(0.6–1.6)||174||40||1.0||-Ref-||147||48||1.4||(0.8–2.2)|
| ≤ 10hr/wk||138||37||1.0||(0.6–1.6)||176||45||0.9||(0.5–1.4)||168||44||1.1||(0.7–1.8)||141||33||0.9||(0.6–1.6)|
| >10 hr/wk||161||58||1.2||(0.7–1.9)||201||56||0.9||(0.6–1.5)||176||71||1.6||(1.0–2.6)||176||39||0.8||(0.5–1.4)|
| p-Interaction|| || || || || || || ||0.37|| || || || || || || ||<0.01|
| No exposure||164||27||1.0||-Ref-||165||20||0.7||(0.4–1.4)||174||19||1.0||-Ref-||147||22||1.4||(0.7–2.6)|
| ≤10 hr/wk||138||30||1.3||(0.7–2.3)||176||26||0.9||(0.5–1.6)||168||30||1.6||(0.9–2.9)||141||24||1.5||(0.8–2.9)|
| >10 hr/wk||161||33||1.2||(0.7–2.1)||201||43||1.3||(0.7–2.2)||176||37||1.8||(1.0–3.3)||176||36||1.7||(0.9–3.2)|
| p-Interaction|| || || || || || || ||0.33|| || || || || || || ||0.42|
| No exposure||164||10||1.0||-Ref-||165||5||0.5||(0.2–1.5)||174||5||1.0||-Ref-||147||9||2.1||(0.7–6.4)|
| ≤10 hr/wk||138||14||1.7||(0.7–4.0)||176||9||0.8||(0.3–2.1)||168||10||2.1||(0.7–6.2)||141||12||3.0||(1.0–8.8)|
| >10 hr/wk||161||12||1.2||(0.5–2.9)||201||12||0.9||(0.4–2.3)||176||11||2.1||(0.7–6.3)||176||11||2.1||(0.7–6.5)|
| p-Interaction|| || || || || || || ||0.49|| || || || || || || ||0.34|
This large, population-based investigation is the first to examine associations of active smoking and exposure to ETS and somatic alterations in rectal cancers. Similar to our previous research in colon cancers,16, 28 active cigarette smoking was associated with an increased risk of TP53 mutation overall and less-common TP53 transversions in particular, BRAF V600E mutations, and MSI in rectal tumors. Although power was limited to detect statistically significant associations for CIMP+ in rectal tumors due to small numbers, our results for all indicators of smoking suggest that active smoking may modestly increase risk, similar to our findings for colon tumors16; additionally, ETS may increase risk of CIMP+ rectal tumors (passive smoking was not assessed in our previous study16). Long-term ETS exposure was associated with KRAS2 mutations in rectal tumors, and NAT2-imputed slow phenotype appeared to modify associations of rectal cancer and exposure to ETS in tumors with a TP53 mutation.
Similar to colon cancer, smoking appears to be related to CIMP+, BRAF V600E and MSI+ in rectal cancer. However, in our previous study of colon tumors, we hypothesized that the effect on MSI+ tumors was due to the effect on CIMP, resulting from an association between smoking and CIMP+ tumors that also was observed in stable colon cancers. In this study, the association with MSI+ is probably not a consequence of an association with CIMP+, as the majority of rectal MSI+ tumors are not CIMP+ and do not exhibit MLH1 methylation, or BRAF mutations.27, 29 Indeed, this research suggests a non-CIMP pathway in Lynch-related rectal cancers which is affected by smoking. In our current study, it was previously determined that Lynch-associated cancers are over-represented in the small number of rectal tumors that exhibit MSI (unpublished data). It has been reported by others that cigarette smoking increases risk of CRC tumors in patients with Lynch syndrome.29, 30 It should be noted in contrast to our previous study of colon cases, the numbers of rectal cases exhibiting BRAF mutation or MSI+ were small and consequently, confidence intervals for risks associated with smoking exposures, including statistically significant estimates for pack-years of smoking, were imprecise for these tumor subtypes (see Table II).
It is plausible that the association between smoking and ETS and rectal tumor alterations might be modified by the ability to detoxify PAH generated from smoking cigarettes. Although associations between rectal cancer and genetic variants of GSTM1 and NAT2 are inconsistent,1, 12, 31 it was hypothesized that genetic variants of these Phase II-detoxifying enzymes may be important in conjunction with cigarette smoking and rectal tumor characteristics given the associations we observed with TP53, KRAS2, and BRAF mutations, CIMP, MSI, and exposure to active and passive cigarette smoke. Lilla et al. reported heterocyclic aromatic amines may play an important role in CRC and possibly exposure to ETS, and that NAT enzymes play a greater role in bioactivation, rather than in detoxification.32 In a large, prospective female cohort, van der Hel et al. reported that rapid acetylation did not increase CRC risk, but in combination with smoking risk was increased, compared with women who had a slow NAT2 imputed phenotype and never smoked; however, when stratified further by colon or rectal site, the increased risk for rectal cancer was not statistically significant.12 We previously reported an increased risk of rectal cancer with smoking cigarettes among those who were GSTM1 null relative to smokers with a GSTM1-positive genotype, and that men who were both GSTM1 positive and NAT2 rapid acetylators had no increased risk from cigarette smoking.1
It is interesting to note associations with smoking observed for TP53 or KRAS2 mutations appear to differ between transition and transversion mutations (which are less common than transitions; see Table III). Whereas >20 pack-years of smoking was more strongly associated with TP53 transversions, the majority comprised of G to T mutations, recent active smoking was significant for KRAS2 transition mutations only. A significant excess of TP53 G to T transversions in smoking-associated lung cancers compared with lung cancers in nonsmokers has been reported, with a similar trend observed in laryngeal, head and neck cancers.33 The Netherlands Cohort Study recently reported that they observed no associations between smoking and risk for colorectal cancer with KRAS2-mutated tumors, and no clear associations with respect to KRAS2 transition and transversion mutations in 648 incident colorectal cancer cases.34 The relationship between ETS and increased risk of KRAS2 was similar for both transition and transversion mutations, although the association was statistically significant for transition mutations only. Findings were similar for ETS exposure and rectal tumors with KRAS2 mutations or CIMP+ phenotype. This perhaps suggests that KRAS2+ and CIMP+ tumors, or tumors with both alterations (which generally do not exhibit BRAF mutation or MSI),18, 27 are predisposed to rectal cancer associated with a high level of long-term exposure to second-hand smoke.
It is possible genetic variants of metabolizing enzymes that modify environmental exposures may influence risk associated with having specific types of tumor mutations.13, 14 In this study, we further investigate potential interaction of smoking exposure with Phase II metabolizing enzymes and alteration subtype in rectal cancer. We found no significant interaction of GSTM1 and smoking-related risk in rectal tumor alterations. However, our results suggest that NAT2 phenotype may interact with ETS and risk of TP53 mutations, although no interaction was observed with regard to active smoking; therefore, additional studies are needed to confirm or disprove the influence of NAT2 in active and passive smoking-related risk of mutations in TP53. We recognize that the associations we observed in our investigation of specific study hypotheses may represent chance findings, because a number of comparisons were made; thus replication in other studies is warranted.
In conclusion, our investigation of somatic alterations and smoking in rectal cancer supports cigarette smoking as a risk factor for TP53 mutations, particularly transversions, as we previously observed in colon cancer. Our results suggest recent smoking may be a risk factor for KRAS2 transition mutations in rectal tumors. Although relatively rare in rectal cancers, smoking is associated with increased risk of BRAF and MSI+, and is suggestive of an increased risk of CIMP+ tumors, also similar to our findings in colon cancers. Additionally, KRAS2+ and CIMP+ tumors (or tumors with both alterations) may be predisposed to rectal cancer associated with a high level of long-term exposure to second-hand smoke. We generally observed no interaction of GSTM1 and NAT2 metabolizing gene variants and smoking-related risk of rectal tumor subtypes. Our results suggest NAT2 phenotype may interact with ETS to influence risk of TP53 mutations in rectal cancer; confirmatory studies are warranted.
This investigation is the first to assess whether smoking (active and passive) and genetic variants of GSTM1 and NAT2 metabolizing enzymes influence risk associated with specific types of acquired tumor mutations or epigenetic changes in rectal cancer, including TP53, KRAS2, BRAF, CIMP and MSI. The impact of this large, population-based study is to further the understanding of the influence of smoking and metabolizing genes in rectal tumor etiology, in comparison with colon tumors.
The authors acknowledge the contributions of Ms. Sandra Edwards, Ms. Leslie Palmer and Ms. Judy Morse to the data collection and management efforts of this study; to Mr. Michael Hoffman for genotyping and MSI assessment; and to Mr. Michael Hoffman and Ms. Erica Wolff for CIMP analysis. This study was funded by NIH grants R01 CA48998 and CA61757 (to M.L.S.).