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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Clin Gastroenterol Hepatol. Author manuscript; available in PMC Oct 1, 2008.
Published in final edited form as:
PMCID: PMC2180165
NIHMSID: NIHMS32400
Colorectal Cancer Risks in Relatives of Young-Onset Cases: Is Risk the Same Across All First Degree Relatives?
Lisa A. Boardman, M.D.,1 Bruce W. Morlan, M.S.,2 Kari G. Rabe, M.S.,3 Gloria M. Petersen, Ph.D.,3 Noralane M. Lindor, M.D.,4 Sandra K Nigon,3 Julia Goldberg,5 and Steven Gallinger, M.D.6
1Division of Gastroenterology, Department of Internal Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
2Cancer Center Statistics, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
3Biostatistics, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
4Department of Medical Genetics, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
5Epidemiology, Tufts University, Boston
6Department of Surgery, Mount Sinai Hospital, and Cancer care Ontario, Toronto, Ontario, Canada.
To Whom Correspondence Should Be Addressed: L.A. Boardman, M.D., 200 First Street SW, Rochester, MN 55905, Telephone: 507-266-4338, Fax: 507-266-0350, Email: Boardman.lisa/at/mayo.edu
Background and Aims
In the last fifteen years, several single-gene Mendelian disorders have been discovered that may account for some of the familial aggregation detected in large population studies of colorectal cancer (CRC). Mutations in DNA mismatch repair (MMR) genes cause HNPCC-Lynch Syndrome, the most common of the recognized CRC-predisposition syndromes, in which one major feature is a young age for cancer onset. However, for young onset microsatellite stable( MSS) CRC, the familial risk for CRC is unknown.
Methods
Cases with CRC < 50 years old were identified through Minnesota Cancer Surveillance System (MCSS), and Mayo Clinic, Rochester, MN. CRC in which the DNA MMR function was deficient as evidenced by high level microsatellite instability and/or loss of expression of MMR gene product by immunostaining were excluded. A total of 278 probands (131 from MCSS; 147 from Mayo Clinic) were included. Data on 1862 relatives were collected, of whom 68 were found to have had CRC and an additional 165 had primary cancers of other types.
Results
Compared to SEER data, relatives of young onset CRC probands had increased risks for CRC. This relative risk was increased among first degree relatives (RR=1.65; 95% C.I.=1.29–2.07), and was greater for siblings (RR = 2.67; 95% C.I=1.50–4.41) than parents (RR= 1.5; 95% C.I.=1.14–1.94)
Conclusions
We studied 278 probands with young-onset microsatellite stable CRC. We determined that the relative risk for CRC was greatest in siblings, which is consistent with an autosomal recessive inheritance pattern.
Large population studies have repeatedly confirmed that colorectal cancer (CRC) shows familial aggregation. Commonly cited relative risks for CRC are 1.7–1.8 for first degree relatives.1,2 In the last fifteen years, several single-gene Mendelian disorders have been discovered that may account for some of the aggregation detected in population studies. Specifically, mutations in the DNA mismatch repair (MMR) genes cause HNPCC-Lynch Syndrome, the most common of the recognized CRC-predisposition syndromes. Other syndromes that predispose to CRC are due to mutations in the base-excision repair gene, MYH, and Familial Adenomatous Polyposis due to mutations in the APC gene.4 It is unclear if the observed familial aggregation risks for CRC is explained just by these known conditions or if this hereditary risk exists also for MSS CRC not related to MYH or APC mutations. Familial cancer risk as assessed in the population-based Swedish Family-Cancer Database was found to be increased in siblings greater than in parents of CRC probands not classified by either DNA MMR status or by germline MYH mutation status. 3
Typically CRC is a disease of aging, with the majority of cases arising after 65 years of age. Still, 15% of cases will occur in people ≤ 50 years old. In 17–30% of young onset cases of CRC, DNA MMR defects will account for the younger age of onset of CRC, but the remaining majority of young onset MSS CRC cases occur for unknown reasons. CRC patients originally qualified as having Lynch-HNPCC syndrome if they met Amsterdam criteria(AC), which included kindreds in which at least 3 family member had CRC, with one of them being the first degree relative of the other two and one of them having developed CRC at <50 years of age. Kindreds that fulfill AC but who do not have defective DNA MMR related CRC have also been recently classified as having Familial colorectal cancer syndrome X and relatives beyond the three members used to meet AC of Familial CRC syndrome X patients were found to have an increased risk; albeit lower than that for DNA MMR related cancer; for CRC but not the extracolonic cancers that can occur in Lynch- HNPCC Syndrome patients. However, the risk for family members of young onset MSS CRC patients who do not meet AC has not been examined. To further explore the cancer risk for first degree relatives of individuals with young onset MSS CRC, we studied a series of cases with CRC diagnosed under age 50 years, who had no evidence of DNA mismatch repair deficiency, and found that the risk for parents was increased and that is was greater for siblings, suggesting a possible autosomal recessive CRC predisposition not explained by currently known genes.
Population
Cases were identified through a contract with the Minnesota Cancer Surveillance System (MCSS), a population-based cancer registry, and the Mayo Clinic site of the Colon CFR. The Colon CFR is an NCI-supported consortium established in l997 to create a multinational comprehensive collaborative infrastructure for interdisciplinary studies in the genetic epidemiology of colorectal cancer. (Detailed information about the Colon CFR can be found at http://epi.grants.cancer.gov/CFR/.) The MCSS ascertains all cases of CRC in Minnesota and the Mayo CFR received 50% of the names of those diagnosed with CRC between 1997–1999. Of these, we invited 100% of cases that were diagnosed with CRC under age 50 years to enroll in the Colon CFR. In addition, we searched the Mayo Clinic-modified H-ICDA (Hospital Adaptation of the International Classification of Disease in the United States) diagnostic codes for all colorectal cancers diagnosed between 1996–1998 and invited all individuals with a diagnosis of colorectal cancer under age 50. Age at diagnosis was the sole criteria for eligibility. Specifically, family history was not a selection criterion, and was unknown to the researchers at the time the invitations were sent to prospective participants. Institutional Review Board-approved written informed consent was obtained from all participants for collection of family history, risk factor exposure, medical records, blood specimens, histology slides, and tumor blocks. Additional affected and unaffected family members were also enrolled in the same manner after the proband was enrolled. Interviews done with the proband by phone and a detailed 4 generation pedigree was obtained. All first degree relatives with CRC and up to 4 sibs per proband without CRC were invited to enroll in the registry. For each who agreed to enroll, a family history was again obtained using a standardized written instrument [ Epidemiology questionniare with family history used across the Colon CFR is available at http://epi.grants.cancer.gov/CFR/index.html. In this way discrepancies between the phone interview and other self reported diagnoses might be identified. For all enrolled individuals, medical records, blood specimens and tumors were collected if possible.
For all individuals in this study, tumor tissue was studied for DNA mismatch repair competency, using methods described previously.5,6 Those with deficiency of MMR function (high level of microsatellite instability or loss of expression of MMR gene product) were excluded from this study. A total of 278 probands (131 from MCSS; 147 from Mayo Clinic) with mismatch repair-competent CRC diagnosed under age 50 years were included in this study. The mean age of diagnosis for males was 43.4 (n=131, range = 22–49); for females the mean age was 42.7 (n=147, range 22–49). From these probands, complete family histories of first-degree relations were obtained by interviews and questionnaires. Data on a total of 1862 relatives were collected, of whom 68 were found to have had CRC and an additional 165 had primary cancers of other types. The subject data so collected provided over 40,000 person-years of exposure data that was then compared with the age and year-adjusted rates found in data from the Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute (NCI). The SEER Program of the National Cancer Institute (NCI) is a source of information on cancer incidence and survival in the United States. SEER currently collects and publishes cancer incidence and survival data from population-based cancer registries covering approximately 26 percent of the US population.7
Laboratory Investigations
For all participants, tumors were characterized for MMR proficiency by conducting microsatellite instability testing (MSI) and immunohistochemistry for MMR gene product expression (MLH1, MSH2, MSH6). Probands were only included in this study is their tumor showed no microsatellite instability and/or their tumor expressed all three MMR gene products normally.
For MSI, DNA from microdissected frozen tissue sections (10 µm) was extracted by standard phenol/chloroform procedure. For tumor DNA, only those areas containing more than 70% tumor cells were used. For DNA extraction from paraffin-embedded tissues, the Qiamp tissue kit (Qiagen, Inc, Santa Clarita, CA) was used according to the manufacturer’s instructions. The corresponding normal control DNA for each patient was derived from peripheral blood. For these specimens, DNA was extracted using the Puregene nucleic acid isolation kit (Gentra Systems, Minneapolis, MN). Paired normal and tumor DNA was analyzed for MSI with 10 markers: mononucleotide markers BAT25, BAT26, BAT40, BAT34C4; dinucleotide markers D5S346, D17S250, ACTC, D18S55, and D10S197; and penta-mono-tetra compound marker MYCL.PCR and gel electrophoresis were carried out as described by Thibodeau et al.8 Tumors were classified as MSI-H if >= 30% markers demonstrated instability, MSI-L if < 30% demonstrated MSI, and MSS if no marker exhibited MSI.
For immunohistochemical (IHC) analysis, tissue sections were cut at 6 µm and mounted on Probe On charged slides (Fisher Scientific, Pittsburgh, PA). After deparaffinization, slides were steam pretreated in EDTA buffer, pH 8.0, in a Black & Decker Handy Steamer Plus (Black & Decker, Shelton, CT) for 30 minutes. After rinsing in cool water, slides were loaded onto the Tech Mate 500 (Ventana Medical Systems, Tuscon, AZ) automated immunohistochemical stainer. Staining was performed using an avidin-biotin complex methodology, supplied in kit form from Ventana Medical Systems (Biotek Solutions buffer kit, Biotek Solutions DAB detection kit). This test uses a primary antibody against hMLH1 (clone G168–728, 1/250; Pharmingen, San Diego, CA) and hMSH2 (clone FE11, 1/50; Oncogene Research Products, Cambridge, MA) that has been titered on colon cancer sections and also tested on various normal and pathologic tissue specimens.
For MYH mutation analysis for the 11 siblings with CRC in this young-onset cohort, we analyzed for MYH gene mutations in the proband. Genomic DNA was screened for MYH Y165C and G382D mutations by using denaturing high-performance liquid chromatography (Transgenomic Wave 3500HT System; Transgenomic, Omaha, NE). Each genomic DNA sample was subjected to polymerase chain reaction (PCR) amplification using primers (see Supplemental Table available at: http://jncicancerspectrum.oupjournals.org/jnci/content/vol96/issue21) designed by the Transgenomics Mutation Discovery program (www.mutationdiscovery.com). The GenBank accession number is MYH: http://www.ncbi.nlm.nih.gov/Omim/. To ensure detection of Y165C and G382D homozygous mutations, the resulting test PCR products were mixed with PCR products amplified from a wild-type sample (25% of the test sample amount). The mixed samples were heated to 95 °C for 5 minutes and then cooled for 50 minutes at a rate of −1.5 °C per cycle for 46 cycles to enhance heteroduplex formation prior to analysis (8). Samples were passed through a SepHT Cartridge (Transgenomic) under partially denatured conditions; temperatures were calculated using Wavemaker version 4.1 software for each amplicon (see Supplemental Table. Samples showing variant mobility patterns were sequenced. We then used denaturing high-performance liquid chromatography to screen the entire MYH gene (16 exons) of all monoallelic and biallelic MYH Y165C and/or G382D mutation carriers for additional mutations.
Statistical analysis
Relative risk ratios were computed as the ratio of observed cased to the number expected. Expected rates were a function of both patient age (5-year increments) and year (1973–2002). To deal with missing years in the SEER data we ran the analyses only on the years covered by the data (1972–2002). We also investigated the results using a simple extrapolation of the 1973 rates to permit use of exposure years before 1973. Person-years were calculated from age 20 years until the earliest cancer diagnosis or death. All cancers were recorded. Using the SAS macro PERSONYRS, we compared the observed primary cancer rates within the subject population with the rates observed in the population as a whole (using the Iowa cohort-base SEER data). The PERSONYRS macro uses Poisson regression to estimate the relative risk ratio and to produce confidence intervals. The standardized incidence ratios (SIRs) of each primary cancer among members were calculated as the ratio of the observed to the expected numbers of cases. The latter was calculated as the sum of the products of the number of person-years for each 5-year age/sex group and the corresponding age/sex-specific incidence rates from the Surveillance, Epidemiology, and End Result (SEER) database. All analyses were stratified by gender. In addition, analyses were conducted separately in the population-and clinic-based groups. Statistical analyses were performed using SAS version 8 (SAS Institute Inc, Cary, NC) using PROC PERSONYRS.9 Results where the 95% confidence intervals did not cover 1.0 were identified as statistically significant.
Summary
Compared to SEER data, relatives of young onset CRC probands had increased risks for development of CRC; however, of the 165 other primary cancers, age-adjusted rates did not reveal increased risks for any other cancers for siblings or parents compared to SEER data. Since no CRC were reported among the probands’ children, no analysis was feasible. As shown in Table 1, the relative risks for CRC was increased among first degree relatives (RR=1.65; 95% C.I.=1.29–2.07), and this risk was greater for siblings (RR = 2.67; 95% C.I=1.50–4.41) than for parents (RR= 1.5; 95% C.I.=1.14–1.94). This trend was maintained in the population-based cases (as opposed to those ascertained via the clinic), though the statistical power was diminished by sample size. Regarding the 11 proband-sibling pairs from which the sibling relative risk was calculated, the cancers arose in the ascending or right colon in 2 cases, in the sigmoid colon or rectum in 2 cases, and in an unknown site in 7 cases. Because of the small sample size neither gender nor site specific differences were able to be assessed for statistical significance among between siblings or parents with the CRC probands. No mutations, neither monoallelic nor biallelic, were found in the MYH gene in the probands who had siblings diagnosed with CRC.
Table 1
Table 1
Relative risks (RR) for colorectal cancers in first degree relatives of 278 probands with young-onset CRC (diagnosed under age 50 years). All probands were selected for having tumor with normal DNA mismatch repair.
We studied 278 probands selected solely on the basis of having developed MSS CRC at a young age of onset. Exclusion of cases with tumor microsatellite instability was aimed at excluding cases that had a high likelihood of having HNPCC-Lynch Syndrome, the most common cause of hereditary CRC. We determined that the relative risk for CRC in this cohort was greatest in siblings (RR 2.67; 95% C.I=1.50–4.41), which was nearly double the relative risk of CRC in parents (RR 1.5; 95% C.I.=1.14–1.94). However, because the confidence intervals overlap, we can only say that the data are suggestive of a trend for siblings of young onset CRC patients to have an increased RR for CRC over that of the parents. It is possible that environmental factors could contribute to the greater CRC risk observed in siblings rather than parents. In particular, increased CRC rates in the second half of the twentieth century may be attributable to the substantial decrease in physical activity coupled with excess energy intake and may now be manifesting in sibilings who shared these exposures during childhood and younger adulthood.10 However, while we cannot rule out some shared environmental exposures as the explanation for CRC in siblings, these results may suggest an autosomal recessive mechanism for CRC predisposition. Biallelic mutations in MYH, a base excision repair gene, have recently been discovered to predispose to CRC, often, but not always, in association with an attenuated polyposis phenotype. To determine if MYH mutations accounted for this increased risk in siblings, we tested for MYH mutations in our 11 cases with affected siblings and did not find any mutations, either biallelic nor monoallelic, to explain our observations. This suggests the possibility of additional genes to be discovered as predisposing causes of CRC.
A paper recently published by the Swedish Family-Cancer Database found similar results11 by studying 6,774 offspring diagnosed with CRC between 0–68 years. In this population-based study, 306 had only a parent affected, 100 had only a sibling affected, and 10 had both a parent and sibling affected. Standardized incidence ratios (SIRs) were presented for CRC in first degree relatives. The SIR for offspring of a parent with CRC was 2.13 and the SIR was 2.75 when a sib was affected. When looking only at right sided tumors, there was a 1.8 fold increased risks in siblings compared to offspring of an affected parent. They concluded that the most likely explanation for the high risk of right sided CRC among siblings was recessive inheritance predisposition, which they suggested could account for 0.75% of all CRC. DNA MMR status of the incident CRC cases was not known in the Swedish Family- Cancer Database, however, to minimize that the known hereditary condition of HNPCC might confound results, kindreds with three or more CRC affected relatives were excluded from their analysis. MYH gene testing was not able to be conducted in this epidemiologic study, but as the authors highlight, the 0.75% recessive inheritance rate detected in their population exceeds the rate attributable to MYH-related recessive inheritance reported in the literature. Our results corroborate this autosomal recessive inheritance predisposition and indicate that this autosomal recessive inheritance pattern is present in a population known to have CRC not related to DNA MMR or MYH mutations.
In an editorial in the Journal of the National Cancer Institute discussing similar results in a Swedish study,12 Zelen suggested that length-based bias and surveillance bias are important considerations in such studies.13 Length-based bias is the consequence of the fact that large families are more likely to be found because there are simply more people available to become probands in large families. Thus, the distribution of family size is not representative of the population at large. Surveillance bias reflects the assumption that people who are relatives of the proband may, because of heightened awareness and/or concern, be more likely to detect disease. Length-based bias is not an issue for this work as the statistical test was done to see if the proband-relatives population has cancer rates that differ from the population as a whole (SEER-based rates). Thus, while the probands are more likely to come from large families, the rates within the probands were not analyzed, the incidences were not collapsed to family-based single measure. The proband-relatives are therefore suitable for relative risk analyses. Surveillance bias would only be relevant if the severity of the disease upon detection was being addressed; however, the presence of CRC was the only endpoint measured in this study. Even so, we compared rates in the first year following detection in the proband with rates in subsequent years and found no significant difference.
Though the methodology between our study and the Hemminki and Chen paper differed, our conclusions are strikingly similar. First degree relatives of MSS CRC patients do have an increased risk for the development of GI tract cancer in general and of CRC in particular. Siblings have a higher GI tract cancer risk than parents, indicating that MSS young onset CRC may confer an increased familial risk for CRC that follows an autosomal recessive pattern of inheritance.
Supplementary Material
Acknowledgement
This work is supported by the National Cancer Institute, National Institutes of Health under RFA # CA-96-001 and through cooperative agreements with member of the Colon Cancer Family Registry and P.Is. The content of this manuscript does not necessarily reflect the views or policies of the National Cancer Institute or any of the collaborating centers in the CFR, nor does mention of trade names, commercial products or organization imply endorsement by the US Government or the CFR.
Grant support: NCI, NIH: RFA # CA-96-001 and KO-7, CA 93-812
Abbreviations
CRCColorectal cancer
MMRmismatch repair
MSImicrosatellite instability

Footnotes
No conflicts of interest exist
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1. St. John DJB, McDermott FT, Hopper JL, et al. Cancer risk in relatives of patients with common colorectal cancer. Ann Intern Med. 1993;118:785–790. [PubMed]
2. Slatterly ML, Kerber RA. Family history of cancer and colon cancer risk: The Utah population database. J Natl Cancer Inst. 1994;86:1618–1626. [PubMed]
3. Cunningham JM, Kim CY, Christensen ER, Tester DJ, Parc Y, Burgart LJ, Halling KC, McDonnell SK, Schaid DJ, Walsh Vockley C, Kubly V, Nelson H, Michels VV, Thibodeau SN. The frequency of hereditary defective mismatch repair in a prospective series of unselected colorectal carcinomas. Am J Hum Genet. 2001;69:780–790. [PubMed]
4. Lipton L, Tomlinson I. The genetics of FAP and FAP-like syndromes. Fam Cancer. 2006;5:221–226. [PubMed]
5. Boland CR, Thibodeau SN, Hamilton SR, et al. A National Cancer Institute Workshop on microsatellite instability for cancer detection and familial predisposition: Development of international criteria for the determination of microsatellite instability in colorectal cancer. Cancer Res. 1998;58:5248–5257. [PubMed]
6. Lindor NM, Burgart LJ, Leontovich O, et al. Immunohistochemistry versus microsatellite instability testing in phenotyping colorectal tumors. J Clin Oncol. 2002;2:1043–1048. [PubMed]
8. Thibodeau SN, French AJ, Cunningham JM, et al. Microsatellite instability in colorectal cancer: Different mutator phenotypes and the principal involvement of hMLH1. Cancer Res. 1998;58:1713–1718. [PubMed]
9. Bergstrahl EJ, Offord KP, Kosanke JL, Augustine GA, editors. Proceedings of the Eleventh Annual Conference of the SAS User's Group International, Atlanta, February 9–12, 1986. Cary, N.C.: SAS Institute; 1986. PERSONYRS: a SAS person year analyses; pp. 868–873.
10. Le Marchand L, Wilkens LR, Kolonel LN, Hankin JH, Lyu LC. Associations of sedentary lifestyle, obesity, smoking, alcohol use, and diabetes with the risk of colorectal cancer. Cancer Res j. 1997;57:4787–4794.
11. Hemminki K, Chen B. Familial risks for colorectal cancer show evidence of recessive inheritance. Int J Cancer. 2005;115:835–838. [PubMed]
12. Bermejo L, Hemminki K. Familial Risk of Cancer Shortly After Diagnosis of the First Familial Tumor. J Natl Cancer Inst. 2005;97:21. [PubMed]
13. Zelen M. Risks of cancer and families. JNCI. 2005;97:1556–1557. [PubMed]