Literature DB >> 27696385

Evaluation of a population-based approach to familial colorectal cancer.

P S Parfrey1, E Dicks1, O Parfrey1, P J McNicholas1, H Noseworthy1, M O Woods1, C Negriin1, J Green2.   

Abstract

As Newfoundland has the highest rate of familial colorectal cancer (CRC) in the world, we started a population-based clinic to provide colonoscopic and Lynch syndrome (LS) screening recommendations to families of CRC patients based on family risk. Of 1091 incident patients 51% provided a family history. Seventy-two percent of families were at low or intermediate-low risk of CRC and colonoscopic screening recommendations were provided by letter. Twenty-eight percent were at high and intermediate-high risk and were referred to the genetic counsellor, but only 30% (N = 48) were interviewed by study end. Colonoscopy was recommended more frequently than every 5 years in 35% of families. Lower family risk was associated with older age of proband but the frequency of screening colonoscopy recommendations varied across all age groups, driven by variability in family history. Twenty-four percent had a high MMR predict score for a Lynch syndrome mutation, and 23% fulfilled the Provincial Program criteria for LS screening. A population-based approach in the provision of colonoscopic screening recommendations to families at risk of CRC was limited by the relatively low response rate. A family history first approach to the identification of LS families was inefficient.
© 2016 The Authors. Clinical Genetics published by John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Lynch syndrome screening; colonoscopic screening; familial colorectal cancer; population-based

Mesh:

Year:  2017        PMID: 27696385      PMCID: PMC5413826          DOI: 10.1111/cge.12877

Source DB:  PubMed          Journal:  Clin Genet        ISSN: 0009-9163            Impact factor:   4.438


Newfoundland and Labrador (NL) has the highest incidence of colorectal cancer (CRC) in Canada and the highest CRC mortality rate 1. Age standardized CRC mortality rates per 100,000 population in 2015 for NL were 38 in males and 21 in females, and in Ontario they were 20 in males and 13 in females 1. The increased CRC mortality in NL is likely the result of increased CRC incidence, rather than higher prevalence of adverse prognostic factors at diagnosis, or diminished survival by stage after diagnosis (Appendix, Tables S1 and S2, Supporting information). In collaboration with the Ontario Familial Colorectal Cancer Registry (OFCCR) we established the Newfoundland Familial Colorectal Cancer Registry (NFCCR) in 2001 and, using similar methodology, we enrolled 750 consecutive, consented, patients < 75 years from the population‐based Newfoundland Cancer Registry 2. In all categories used to define family risk of CRC, the incidence was significantly higher in NL compared to Ontario, and NL had the highest rate of familial CRC worldwide when compared to other population‐based studies 2. Primary screening for CRC includes population‐based testing for faecal occult blood or colonoscopic screening in high‐risk individuals, particularly when defined by family history of CRC 3. A strong family history of CRC requires careful evaluation to determine the appropriate type of screening and the need for genetic counselling 4. The term ‘familial CRC’ is used for individuals with a clinically important increased risk, based on their family history, which justifies screening using colonoscopy 5. The lifetime risk of developing CRC for these individuals is higher than 10% and depends on the number of relatives with CRC and the age at diagnosis 6. The Amsterdam criteria were designed to identify hereditary non‐polyposis colorectal cancer families with high specificity of a gene mutation 7. Among this group, there are two primary categories: Lynch syndrome in which mutations of genes involved in DNA mismatch repair (MMR) pathway cause CRC and extra colonic cancer susceptibility; and 2 familial CRC type X (FCCTX) in which tumours are proficient in DNA MMR proteins and there is no extra colonic cancer susceptibility 8, 9. In the NFCCR, only 2.8% of patients had mutations in MMR genes causing Lynch syndrome, and 2.3% were classified as FCCTX 7. A further 25% of incident cases had at least one first‐degree relative with CRC, did not have a CRC predisposing mutation, and did not fulfil Amsterdam criteria 10. Thus, the greater burden of familial CRC occurs in families without a known mutation predisposing to CRC. In 2010, we decided to start a Familial CRC clinic in two regions of NL to provide screening recommendations to families of incident CRC patients based on family risk of CRC. This was done because recommendations recognize family members of CRC patients as a high‐risk group who require screening colonoscopies 3, because the incidence of familial CRC in NL is high 2, and because identification of hereditary and familial CRC is currently not optimal 11. In view of the benefits that accrued to LS mutation carriers as a result of colonoscopic screening and specific disease management issues in families with LS 12, 13, 14, we initiated a family history first approach in the Familial CRC clinic for the identification of selected patients who required tumour/DNA cascade testing for the diagnosis of LS 10. The purpose of this report was (i) to assess the effectiveness with which the population‐based familial CRC clinic provided colonoscopic screening recommendations to families at different degrees of risk of CRC; (ii) to examine the colonoscopic screening recommendations made, and the effect of age of the index patient on various measures of family risk of CRC and on recommendations; and (iii) to assess the characteristics of patients referred to see a genetic counsellor, and the effectiveness of a family history first approach in the identification of families at risk of Lynch syndrome.

Methods

Familial CRC clinic

Incident, pathologically confirmed, CRC patients, from the Newfoundland Cancer Registry, who presented from 2008–2010 in two NL health regions (Eastern and Central) were contacted by letter signed by the lead oncologist at the NL Cancer Centre and invited to attend clinic. Subsequently the Familial CRC clinic staff contacted the patient to confirm their response. Their physician was not notified. Patients with familial polyposis coli were excluded following review of pathology, and patients with other monogenic CRC syndromes did not present during the study period. Patients were asked to provide a family history, including cancer occurrence and age at cancer diagnosis in first and second‐degree relations. This was initially collected by mail, following which missing information was obtained and verification undertaken by phone. Where relevant, consent for release of information was obtained from family members and medical records requested to confirm cancer type. A family pedigree was reviewed by a medical geneticist (JSG) and a genetic counsellor, and family risk for Lynch syndrome and for CRC was determined. The clinical decision on risk was made by the geneticist (J. G.) using her educated, expert opinion, and incorporated age of onset of CRCs in the family, number of first and second‐degree family members with CRC, family size, Amsterdam criteria, age and cancer modified Amsterdam criteria (ACMAC) and Bethesda criteria 7, 15 (definitions in Table S3), presence of multiple adenomatous polyps in a first‐degree family member. Definitions of family risk were: Low: No criteria of increased family risk of CRC. Intermediate–low: Increased family risk of CRC but not necessary to see a genetic counsellor. Intermediate–high: Increased family risk of CRC such as to make it necessary to see a genetic counsellor. High: Fulfilled Amsterdam or ACMAC criteria, necessary to see a genetic councillor. Patients with family at high or intermediate–high risk of CRC were referred to the genetic counsellor to provide colonoscopy and other screening recommendations to families and to obtain consent, if necessary, for tumour/genomic DNA cascade testing to diagnose LS. Table S4 outlines the criteria used by the Provincial Medical Genetics Program (PMG) for the cascade testing protocol for MMR mutation identification. These criteria were developed by local expert opinion following review of the literature. Patients in a family at intermediate–low or low risk were sent a letter summarizing the family history and providing screening recommendations. Age at which screening should start and frequency of colonoscopy were provided to families. For the purposes of this paper frequency was classified into four groups: (i) 1, 1–2 or 2 years; (ii) 2–3, 3 years; (iii) 3–5, 4 years; (iv) ≥ 5 years. Colonoscopy recommendations were made by an expert, experienced CRC geneticist (J. G.) following clinical evaluation of the pedigree and of family risk of CRC. The recommendations were provided in writing to the patient to forward to family members. Because of prior problems with immunohistochemistry testing at the regional health authority, Eastern Health 16, tumours and DNA were sent to Toronto for cascade testing to diagnose LS in selected patients. At Eastern Health, staffing for the clinic included a subject matter expert research assistant, a genetic counsellor, a clerk and an information technology/data management research assistant. At Central Health staffing included a nurse and a clerk. From 2008–2010, 784 incident CRC cases were identified presenting to Eastern Health and 307 presenting to Central Health. Enrollment started in 2010 and the genetic counsellor left the region at the end of 2013. Subsequently all patients received recommendations for colonoscopy screening in family members pending work‐up for LS. Incident endometrial and ovarian cancer patients from 2008–2011 were also contacted but data from this group are not presented in this report. Reasons for refusal to attend the clinic were recorded. The study was approved by the Health Research Ethics Board of Newfoundland and Labrador.

Statistical analysis

Familial CRC was defined as having at least one first‐degree relative (FDR) with CRC. Family history was classified according to Amsterdam, ACMAC and Bethesda criteria (Table S3). Family history score (FHS) was calculated to assess the risk of CRC in FDRs 17, and the MMR predict score was calculated to measure the risk of being a LS mutation carrier 18. Risk was also classified by the five criteria used in the PMG (Table S4). Briefly, the FHS compares each member of a family to age and sex‐matched population controls in terms of probability of disease 17, 19. This involves comparing the observed number of cases for a family over a specific time period to the expected number of cases, calculated based on family member covariates (age, sex, and race) and overall family structure. The proband was included in the score. The expected CRC incidences were calculated using the Surveillance, Epidemiology, and End Results (SEER) program from the National Cancer Institute. MMR predict was the best performing model in the NFCCR for identifying CRC patients who had a DNA mismatch repair mutation and thus a high score identified patients who should be screened for LS 18. Variables in the model include age at diagnosis of CRC, sex, location of tumour, multiple CRCs, occurrence of, and age at, diagnosis of CRC in first‐degree relatives, and occurrence of endometrial cancer in any first‐degree relative. In responders who provided a family history, proband and family characteristics were compared according to family risk classification determined by the medical geneticist. As geneticists use the history of the proband in making screening recommendations, the FHS included data from the proband. As both FHS and MMR predict were not normally distributed, these scores are presented as medians with interquartile range. Percentage >1.66 for MMR predict (corrected for family size) is presented as this was the cut‐off criterion for optimal sensitivity and specificity in diagnosing MMR mutation carriers 20. Screening recommendations to family members are presented as age recommended for first colonoscopy, frequency of subsequent colonoscopies, and referral for tumour/DNA cascade testing for LS.

Results

Figure 1 is the flow chart on patients provided colonoscopic screening recommendations at the familial CRC clinic. Of 1091 CRC patients eligible to attend clinic, contact was made with 99.5%, 63.7% agreed to participate and 51.4 % provided a completed Family History Questionnaire.
Figure 1

Flow chart in the familial colorectal cancer (CRC) clinic for incident CRC patients provided colonoscopic screening recommendations.

Flow chart in the familial colorectal cancer (CRC) clinic for incident CRC patients provided colonoscopic screening recommendations.

Comparison of responders and non‐responders

In patients who provided a family history, 166 (29.7%) were >75 years old, 319 (57.2%) were male, and 375 (67.2%) were from the Eastern Health Region. Comparable results in non‐responding group were 141 (35.7%) >75 years, 227 (57.8%) male and 303 (77.1%) from the Eastern Health region.

Reasons for declining to attend the clinic

Of 267 patients who provided a reason for declining, 52.4% (N = 140) stated they had no interest, 19.4% (N = 52) stated they had no family history of CRC, 17.6% (N = 47) were too old or too sick, 15 (6%) said family members were already in a screening program, and the remaining 4.9% (N = 13) had miscellaneous reasons. A further 134 (12.3%) agreed to provide a family history but never did so.

Release of information

Of 256 patients who were asked to complete a release of information form to confirm tumour pathology, 146 (57%) completed this task, comprising 292 tumours. Table S5 provides the pathology results.

Family risk

Twenty percent of probands had familial CRC defined as at least one FDR with CRC. Only nine (1.7%) families fulfilled Amsterdam 1 or 2 criteria, 18.7% (N = 99) fulfilled ACMAC criteria, and 36.7% (N = 194) fulfilled at least one Bethesda criterion. The medical geneticist classified 57% (N = 300) of families at low risk for CRC, 15.5% (N = 82) at intermediate–low, 23.1% (N = 122) at intermediate–high, and 4.0% (N = 21) at high risk for CRC (Table 1). The latter two groups were referred to the genetic counsellor.
Table 1

The clinical and family risk characteristics by family risk of CRC defined by geneticist

Family risk of CRC
High (21)Int–High (122)Int–Low(82)Low (300)Total (529)p value
Mean age ± SD56.2 ± 15.065.1 ± 11.068.0 ± 11.568.9 ± 9.967.3 ± 11.00.000
≥75 years N (%)3 (14.3)27 (22.1)22 (26.8)92 (30.7)144 (27.2)NS
Male N (%)9 (42.9)65 (53.3)48 (58.5)179 (59.7)305 (57.7)NS
Location N (%)0.011
Eastern15 (71.4)96 (78.7)53 (64.6)190 (63.3)355 (67.1)
Central6 (28.6)26 (21.3)29 (35.4)110 (36.7)174 (32.9)
FHS proband median7.83.12.61.92.20.000
Interquartile range5.1–9.81.9–4.91.8–4.11.4–2.51.6–3.8
Upper decile %72.216.58.92.79.4
MMRPred median (N)7.81.10.70.20.40.000
Interquartile range2.5–34.20.3–3.20.2–2.80.1–0.60.1–1.6
% > 1.6683.334.738.011.423.7
Amsterdam N (%)9 (42.9)0 (0.0)0 (0.0)0 (0.0)9 (1.7)0.000
Am18 (38.1)0 (0.0)0 (0.0)0 (0.0)8 (1.5)0.000
Am21 (4.8)0 (0.0)0 (0.0)0 (0.0)1 (0.2)0.000
Bethesda N (%)12 (57.1)107 (87.7)75(91.5)0 (0.0)194 (36.7)0.000
Beth1 CRC < 50 years2 (9.5)10 (8.2)8 (9.8)0 (0.0)20 (3.8)0.000
Beth2 synchronous/metachronous2 (9.5)21 (17.2)19 (23.2)0 (0.0)42 (7.9)0.000
Beth3 MSI histology2 (9.5)10 (8.2)3 (3.7)0 (0.0)15 (2.8)0.000
Beth4 1° rel with Ca < 50 years5 (23.8)13 (10.7)7 (8.5)0 (0.0)25 (4.7)0.000
Beth5 two 1° rel or 2° rel with Ca6 (28.6)73 (59.8)48 (58.5)0 (0.0)127 (24.0)0.000
1° rel Polyps N (%)0 (0.0)11 (9.0)5 (6.1)1 (0.3)17 (3.2)0.000
2+ Bethesda or polyps4 (19.0)21 (17.2)10 (12.2)0 (0.0)35 (6.6)0.000
3+ Bethesda or polyps1 (4.8)4 (3.3)3 (23.7)0 (0.0)8 (1.5)0.024
FamCRC N (%)18 (85.7)55 (45.1)32 (39.0)0 (0.0)105 (19.8)0.000
PMG criteria N (%)12 (57.0)74 (60.7)37 (45.1)0 (0.0)123 (23.3)0.000
PMG1 ACMAC11 (52.4)60 (49.2)28 (34.1)0 (0.0)99 (18.7)0.000
PMG2 CRC before 40 years1 (4.8)6 (4.9)2 (2.4)0 (0.0)9 (1.7)0.007
PMG3 endo before 45 years1 (4.8)1 (0.8)1 (1.2)0 (0.0)3 (0.6)0.060
PMG4 sebaceous/multiple2 (9.5)9 (7.4)11 (13.4)0 (0.0)22 (4.2)0.000
PMG5 multiple HNPCC Ca0 (0.0)8 (6.6)2 (2.4)0 (0.0)10 (1.9)0.000
Colon screening age N(%)0.000
<307 (33.3)4 (3.3)1 (1.2)0 (0.0)12 (2.3)
30–343 (14.3)4 (3.3)1 (1.2)1 (0.3)9 (1.7)
35–393 (14.3)8 (6.6)2 (2.4)0 (0.0)13 (2.5)
40–445 (23.8)21 (17.2)4 (4.9)10 (3.3)40 (7.6)
45–490 (0.0)27 (22.1)11 (13.4)29 (9.7)67 (12.7)
500 (0.0)51 (41.8)55 (67.1)244 (81.3)350 (66.2)
Missing3 (14.3)7 (5.7)8 (9.8)16 (5.3)38 (7.2)
Colon screening frequency N (%)0.000
1–2 years12 (57.1)2 (1.6)0 (0.0)0 (0.0)14 (2.6)
2–3 years5 (23.8)46 (37.7)4 (4.9)1 (0.3)56 (10.6)
3–5 years0 (0.0)53 (43.4)32 (39.0)19 (6.3)106 (20.0)
5 years0 (0.0)16 (13.1)42 (51.2)272 (90.7)330 (62.4)
Missing2 (9.5)5 (4.1)4 (4.9)8 (2.7)23 (4.3)

1° rel, first‐degree relative; 2° rel, second‐degree relative; ACMAC, age and cancer modified Amsterdam criteria; Ca, HNPCC cancer; endo, endometrial cancer; HNPCC, hereditary nonpolyposis colorectal cancer; PMG, provincial medical genetics.

The clinical and family risk characteristics by family risk of CRC defined by geneticist 1° rel, first‐degree relative; 2° rel, second‐degree relative; ACMAC, age and cancer modified Amsterdam criteria; Ca, HNPCC cancer; endo, endometrial cancer; HNPCC, hereditary nonpolyposis colorectal cancer; PMG, provincial medical genetics. The distribution of FHS is shown in Table 2. The median score was 2.2 (interquartile range 1.6–3.8).
Table 2

The clinical and family risk characteristics by frequency of colonoscopy screening recommendations

Annual screening frequency
Colonoscopy frequency1–2 years2–3 years3–5 years5 years
N1456106330Missing 23Total 529p value
Mean age ± SD59.0 ± 14.661.4 ± 13.164.3 ± 11.369.5 ± 9.368.8 ± 12.967.3 ± 11.00.000
≥ 75 years N (%)2 (14.3)9 (16.1)21 (19.8)102 (30.9)10 (43.5)144 (27.2)0.011
Family Male N (%)8 (57.1)31 (55.4)59 (55.7)196 (59.4)11 (47.8)305 (57.7)NS
Risk0.000
High12 (85.7)5 (8.9)2(1.9)0 (0.0)2 (8.7)21 (4.0)
Intermediate–high2 (14.3)46 (82.1)53 (50.0)16 (4.8)5 (21.7)122 (23.1)
Intermediate–low0 (0.0)4 (7.1)32 (30.2)42 (12.7)4 (17.4)82 (15.5)
Low0 (0.0)1 (1.8)19 (17.9)272 (82.4)8 (34.8)300 (56.7)
Location N (%)0.137
Eastern12 (85.7)37 (66.1)78 (73.6)216 (65.5)12 (52.2)355 (67.1)
Central2 (14.3)19 (33.9)28 (26.4)114 (34.5)11 (47.8)174 (32.9)
FHS median (N)6.83.72.72.02.42.20.000
Interquartile range4.6–9.52.1–5.31.9–4.41.4–2.61.0–5.71.6–3.8
% Upper quintile (above 4.1)71.4 (10)42.9 (24)29.2 (31)8.8 (29)34.8 (8)19.3 (102)
MMRPred median (N)7.82.00.60.20.70.40.000
Interquartile range1.7–83.60.5–5.50.2–2.30.1–0.70.1–1.90.1–1.6
Percentage >1.6675.051.830.814.625.023.7
Amsterdam N (%)5 (35.7)2 (3.6)0 (0.0)0 (0.0)2 (8.7)9 (1.7)0.000
Am14 (28.6)2 (3.6)0 (0.0)0 (0.0)2 (8.7)8 (1.5)0.000
Am21 (7.1)0 (0.0)0 (0.0)0 (0.0)0 (0.0)1 (0.2)0.000
Bethesda N (%)10 (71.4)48 (85.7)79 (74.5)51 (15.5)8 (34.8)196 (37.1)0.000
Beth1 CRC <50 years2 (14.3)7 (12.5)11 (10.4)0 (0.0)0 (0.0)20 (3.8)0.000
Beth2 synchronous/metachronous2 (14.3)6 (10.7)12 (11.3)18 (5.4)4 (17.3)42 (7.9)0.071
Beth3 MSI histology1 (7.1)7 (12.5)5 (4.7)1 (0.3)0 (0.0)14 (2.6)0.000
Beth4 1° rel with Ca <50 years3 (21.4)9 (16.1)8 (7.5)4 (1.2)1 (4.3)25 (4.7)0.000
Beth5 two 1° rel or 2° rel with Ca6 (42.9)28 (50.0)56 (52.8)33 (10.0)3 (13.0)126 (23.8)0.000
1° rel polyps N (%)0 (0.0)7 (12.5)4 (3.8)6 (1.8)0 (0.0)17 (3.2)0.001
2+ Bethesda or polyps4 (28.5)9 (16.1)12 (11.3)9 (2.7)0 (0.0)34 (6.4)0.000
3+ Bethesda or polyps0 (0.0)3 (5.4)3 (2.8)1 (0.3)0 (0.0)7 (1.3)0.011
Familial CRC N (%)13 (92.9)28 (50.0)41 (38.7)17 (5.2)6 (26.1)105 (19.8)0.000
PMG criteria N (%)9 (64.3)31 (55.4)47 (44.3)30 (9.1)6 (23.1)123 (23.3)0.000
PMG1 ACMAC8 (57.1)25 (44.6)40 (37.7)21 (6.4)5 (21.7)99 (18.7)0.000
PMG2 CRC <40 years0 (0.0)3 (5.4)2 (1.9)3 (0.9)1 (4.3)9 (1.7)NS
PMG3 endo <45 years0 (0.0)1 (1.8)1 (0.9)1 (0.3)0 (0.0)3 (0.6)NS
PMG4 sebaceous/multiple2 (14.3)2 (3.6)6 (5.7)11 (3.3)1 (4.3)22 (4.2)NS
PMG5 multiple HNPCC Ca1 (7.1)3 (5.4)3 (2.8)1 (0.3)2 (8.7)10 (1.9)0.002
Colon screening age N (%)0.000
<308 (57.1)2 (3.6)2 (1.9)0 (0.0)0 (0.0)12 (2.3)
30–342 (14.3)6 (10.7)0 (0.0)1 (0.3)0 (0.0)9 (1.7)
35–391 (7.1)6 (10.7)6 (5.7)0 (0.0)0 (0.0)13 (2.5)
40–442 (14.3)15 (26.8)17 (16.0)6 (1.8)0 (0.0)40 (7.6)
45–490 (0.0)14 (25.0)26 (24.5)27 (8.2)0 (0.0)67 (12.7)
500 (0.0)11 (19.6)54 (50.9)285 (86.4)0 (0.0)350 (66.2)
Missing1 (7.1)2 (3.6)1 (0.9)11 (3.3)23 (100.0)38 (7.2)

1° rel, first‐degree relative; 2° rel, second‐degree relative; ACMAC, age and cancer modified Amsterdam criteria; Ca, HNPCC cancer; endo, endometrial cancer; HNPCC, hereditary nonpolyposis colorectal cancer; PMG, provincial medical genetics.

The clinical and family risk characteristics by frequency of colonoscopy screening recommendations 1° rel, first‐degree relative; 2° rel, second‐degree relative; ACMAC, age and cancer modified Amsterdam criteria; Ca, HNPCC cancer; endo, endometrial cancer; HNPCC, hereditary nonpolyposis colorectal cancer; PMG, provincial medical genetics. Twenty‐three percent fulfilled at least one of the criteria required by the Provincial Medical Genetics Program for Lynch syndrome testing. Twenty‐four percent had a MMR score >1.66. Distribution of MMR predict scores is provided in Fig. 2b.
Figure 2

Distribution of family history score (FHS) for colorectal cancer (a) and of MMR predict score for risk of Lynch syndrome in consecutive incident CRC patients (b).

Distribution of family history score (FHS) for colorectal cancer (a) and of MMR predict score for risk of Lynch syndrome in consecutive incident CRC patients (b). The clinical and family characteristics of the patients by family risk of CRC, as defined by the medical geneticist, are outlined in Table 1. Higher family risk was associated with lower proband age and female gender. There was little difference in family history score, MMR predict score, or in the proportion fulfilling Bethesda criteria when comparing intermediate–high to intermediate–low, but there was a difference in the rate of ACMAC (49% vs 34%, respectively) and in the frequency at which colonoscopy was recommended, in these groups.

Colonoscopy screening recommendations

Three percent of the families were recommended to have screening colonoscopy every 1, 2, or 1–2 years, 11% 2–3 or 3 years, 21% 3–5 or 4 years and the remaining 65% ≥5 years. A recommendation of higher frequency of colonoscopy screening was associated with higher FHS and MMR predict scores, proportions who fulfilled Amsterdam and ACMAC criteria, or had ≥2 of the five Bethesda criteria or polyps in a first‐degree relative. The recommendations provided, analysed by proband and family risk characteristics, are outlined in Table 2. The clinical and family risk characteristics, and family screening colonoscopy recommendations by proband age, are outlined in Table 3. The rate of familial CRC differed little by age but there was a difference in the degree of family risk. Twenty‐seven percent of patients were ≥75 years of age, of whom 20.9% had families at high or intermediate–high risk of CRC, compared to 36.6% of patients <75 years with similar risks. Nonetheless in the group ≥75 years 11.8% fulfilled ACMAC criteria 31.3% fulfilled Bethesda criteria, and 19.4 % had familial CRC. Screening recommendations were provided to family members for a colonoscopy, more frequently than once every 5 years, in 22.8% of these families.
Table 3

The clinical and family risk characteristics by age of CRC patient together with the colonoscopy screening recommendations.

N Age group
≥75 years74–65 years<65 yearsTotal
144175210529p value
Family risk N (%)0.001
High3 (2.1)2 (1.1)16 (7.6)21 (4.0)
Intermediate–high27 (18.8)34 (19.4)61 (29.0)122 (23.1)
Intermediate–low22 (15.3)36 (20.6)24 (11.4)82 (15.5)
Low92 (63.9)102 (58.3)106 (50.5)300 (56.7)
Male81 (56.3)102 (58.3)122 (58.1)305 (57.7)NS
Location N (%)0.034
Eastern86 (59.7)116 (66.3)153 (72.9)355 (67.1)
Central58 (40.3)59 (33.7)57 (27.1)174 (32.9)
FHS Median (N)1.72.12.62.20.000
Interquartile range1.1–2.81.5–3.32.0–4.51.6–3.8
Upper quintile N (%)18 (12.5)24 (13.7)60 (28.6)102 (19.3)
MMRPred median (N)0.10.30.70.40.000
Interquartile range0.0–0.30.1–1.30.3–3.20.1–1.6
Percentage >1.668.620.636.423.7
Amsterdam N (%)2 (1.4)0 (0.0)7 (3.3)9 (1.7)0.040
Am12 (1.4)0 (0.0)6 (2.9)8 (1.5)0.072
Am20 (0.0)0 (0.0)1 (0.5)1 (0.2)NS
Bethesda N (%)45 (31.3)65 (37.1)84 (40.0)194 (36.7)0.242
Beth1 CRC <50 years0 (0.0)1 (0.6)19 (9.0)20 (3.8)0.000
Beth2 synchronous/metachronous16 (11.1)14 (8.0)12 (5.7)42 (7.9)NS
Beth3 MSI histology3 (2.1)0 (0.0)12 (5.7)15 (2.8)0.003
Beth4 1° rel with Ca <50 years3 (2.1)14 (8.0)8 (3.8)25 (4.7)0.034
Beth5 Two 1° rel or 2° rel with Ca30 (20.8)44 (25.1)53 (25.2)127 (24.0)NS
1° rel polyps N (%)6 (4.2)3 (1.7)8 (3.8)17 (3.2)NS
2+ Bethesda or polyps8 (5.6)8 (4.6)19 (9.0)35 (6.6)NS
3+ Bethesda or polyps2 (1.4)1 (0.6)5 (2.4)8 (1.5)NS
FamCRC N (%)28 (19.4)39 (22.3)38 (18.1)105 (19.8)NS
PMG criteria N (%)25 (17.4)38 (21.7)60 (28.6)123 (23.3)0.042
PMG1 ACMAC17 (11.8)31 (17.7)51 (24.3)99 (18.7)0.012
PMG2 CRC before 40 years3 (2.1)5 (2.9)1 (0.5)9 (1.7)NS
PMG3 endo before 45 years0 (0.0)2 (1.1)1 (0.5)3 (0.6)NS
PMG4 sebaceous/multiple7 (4.9)7 (4.0)8 (3.8)22 (4.2)NS
PMG5 multiple HNPCC Ca2 (1.4)3 (1.7)5 (2.4)10 (1.9)NS
Colon screening age N (%)0.00
<301 (0.7)2 (1.1)9 (4.3)12 (2.3)
30–343 (2.1)2 (1.1)4 (1.9)9 (1.7)
35–391 (0.7)4 (2.3)8 (3.8)13 (2.5)
40–443 (2.1)3 (1.7)34 (16.2)40 (7.6)
45–495 (3.5)9 (5.1)53 (25.2)67 (12.7)
50114 (79.2)146 (83.4)90 (42.9)350 (66.2)
Now/null17 (11.8)9 (5.1)12 (5.7)38 (7.2)
Colon screening frequency N (%)0.00
1–2 years2 (1.4)3 (1.7)9 (4.3)14 (2.6)
2–3 years9 (6.3)13 (7.4)34 (16.2)56 (10.6)
3–5 years21 (14.6)29 (16.6)56 (26.7)106 (20.0)
5 years102 (70.8)125 (71.4)103 (49.0)330 (62.4)
Missing10 (6.9)5 (2.9)8 (3.8)23 (4.3)

1° rel, first‐degree relative; 2° rel, second‐degree relative; ACMAC, age and cancer modified Amsterdam criteria; Ca, HNPCC cancer; endo, endometrial cancer; HNPCC, hereditary nonpolyposis colorectal cancer; PMG, provincial medical genetics.

The clinical and family risk characteristics by age of CRC patient together with the colonoscopy screening recommendations. 1° rel, first‐degree relative; 2° rel, second‐degree relative; ACMAC, age and cancer modified Amsterdam criteria; Ca, HNPCC cancer; endo, endometrial cancer; HNPCC, hereditary nonpolyposis colorectal cancer; PMG, provincial medical genetics.

Referrals to the genetic counsellor

Twenty‐seven percent (N = 143/525) of probands were referred to the genetic counsellor, 21 (15%) of whom had high family risk, and 122 (85%) who had intermediate–high risk. During the study only 48 (34%) were actually interviewed by the genetic counsellor (Fig. 1), and 24 (50%) of these consented to tumour/DNA cascade testing. The remaining 95 patients were seen by a genetic counsellor after the study was completed, provided with colonoscopy recommendations for family members based on the data available from the pedigree, and evaluated for LS cascade testing.

Discussion

This study supports four main conclusions: (i) experience with a population‐based familial CRC clinic in NL revealed a response rate (provision of a completed family history questionnaire) of 51%, and the efficiency of genetic counsellor services was poor; (ii) rate of referral to a genetic counsellor was high (27%); (iii) although the degree of family risk varied by age of the proband, risk‐specific colonoscopic screening recommendations for family members were necessary even with older probands; (iv) a family history first approach to identify the risk of Lynch syndrome was inefficient. As indicated in the appendix it is unlikely that the higher CRC mortality rate in NL 1, compared to Ontario, is caused by diagnosis at a later stage, or the presence of a higher rate of adverse prognostic factors at baseline, or to diminished survival following diagnosis (Appendix). The implications of these results are that a focus on prevention of CRC is needed in NL. Population‐based screening for CRC using faecal immunohistochemistry (FIT) testing or flexible sigmoidoscopy is associated with reduced mortality 21, 22, but faecal occult blood testing has only just begun in some regions of NL, and is not appropriate for families at high risk. Colonoscopic surveillance in individuals with a family history of CRC has been associated with an 80% reduction of CRC 23. As the province has the highest reported rate of familial CRC in the world 2, CRC surveillance in family members of patients who present with CRC 3 may also decrease the incidence of CRC in NL. Incident cases with CRC in the population were invited to attend the clinic but only 51% provided a family history sufficient to provide colonoscopic screening recommendations to families. This compares with 61% of incident cases who provided family histories to the NFCCR, a prior research project that required research consent 2. However these proportions contrast with the observation that in Australia only 1% of unaffected people at potentially high risk of CRC reported appropriate screening 24. In addition, the response to other requests (completion of family address and release of information forms) was similar to the family history response rate. The majority of non‐responders just had no interest in the service being offered. A higher proportion of non‐responders compared to responders were older than 75 years. Their decision may have been misguided since family risk was still quite high in the older age group. The pedigree assessment by the medical geneticist engendered referrals for genetic counselling in 27% of incident cases. The decision to refer for counselling, or not, in those with intermediate–high vs intermediate–low risk family histories, was a clinical decision based on clinical interpretation of the family history. There was little difference in FHS, MMR predict or in the fulfilment of the Bethesda criteria, but there was a difference in the fulfilment of ACMAC criteria. Guidelines exist for the genetic/familial high‐risk assessment of CRC but their application to specific families is not clear‐cut 25. In particular in NL family size is large, family information is extensive, and clinical judgement is necessary in determining family risk and colonoscopic screening recommendations. Consequently, the classifications of the medical decisions made in this study was those made by an educated, experienced geneticist, incorporating multiple parameters of family risk. Efficiency in provision of counselling was poor as only 34% of high and intermediate–high‐risk families were seen by the genetic counsellor during the duration of the study. This was the result of delays in ensuring accuracy of the family history via communication with the family for release of information consent and in obtaining information from hospitals, plus creation of a large referral wait‐list to the genetic counsellor, which also included patients presenting with gynaecological cancer with families at high risk of cancer. The decision not to refer intermediate–low risk patients to a genetic counsellor was driven by limited resources for genetic counselling and the likelihood of further increasing the wait‐list. It is possible that this triage has missed some families with Lynch syndrome. The prevalence of high‐risk CRC families was higher in a previous population‐based cohort study from Newfoundland 10. When comparing the previous study with the current one, the Amsterdam I or II criteria were fulfilled in 3.7% vs 1.7%, familial CRC was present in 31% vs 19.8%, and low risk families comprised 52.7% vs 57%, respectively. The lower prevalence of high‐risk families identified could be the result of screening, as families with previously identified hereditary non‐polyposis colorectal cancer have received intensive screening. In fact, both screened males and females with a Lynch syndrome MSH2 mutations in Newfoundland had a 71% lower risk of colorectal cancer compared to the expected incidence derived from the non‐screened control group 13. A study is underway to examine the impact of colonoscopic screening in FCCTX. Age recommended for starting colonoscopic screening and frequency of colonoscopy is determined predominantly by the family history, and provision of screening recommendations to families at risk of CRC requires expertise. By anecdote, family doctors were pleased to receive letters outlining the recommendations, not only in high‐risk families but particularly in families at lower risk. The limitation in financial resources for genetic counselling has suggested we examine predictive models of family risk and of various screening recommendations to determine whether electronic methods would safely improve the efficiency of the provision of recommendations. We examined the capture of higher risk families by age of the proband. Although the rate of higher risk families, no matter how classified, decreased the older the proband, nonetheless the prevalence was quite high in probands ≥75 years: 19.4% had familial CRC, 31.3% fulfilled at least one Bethesda criterion, and screening colonoscopy frequency recommended to family members was greater than every 5 years in 23% of families. The cost‐effectiveness of family history‐based CRC screening in Australia was examined using a Markov model. It demonstrated that in people at increased risk due to a strong family history of CRC, five yearly colonoscopy cost Au$12,405 per year gained, with an average life expectancy of 16.1 years 26. The family history first approach failed to assess 48% of incident cases for LS risk because no family history was provided. However, 36% of these non‐responders were over 75 years and at lower risk of having a LS mutation. Of those who responded, 23% fulfilled the local criteria for tumour/genomic DNA cascade testing for LS mutations. If families at risk of LS, as defined by MMR predict, were referred to the genetic counsellor, the proportion of probands referred would have been 24%. The process whereby patients were identified as requiring a tumour/genomic DNA work‐up for LS was cumbersome and inefficient: 66% of high/intermediate–high‐risk families were waiting to see the genetic counsellor at the end of the study, so no decision on cascade testing could be made. Of the 48 patients seen by the genetic counsellor during the study, 50% were referred for LS testing. Of the 95 patients not seen by a genetic counsellor during the study all subsequently received recommendations for colonoscopic screening based on the pedigree, but data on those who needed work‐up for LS is not yet available. The results of the LS work‐up may change screening recommendations. The inefficiency of the process was exacerbated by the further need to send tumour tissue and genomic DNA to Toronto for cascade testing. Efficiency would presumably be improved by narrowing the criteria for referral to a genetic counsellor and/or hiring another genetic counsellor. An alternate process to the family history first approach for LS identification is the tumour first approach with universal immunohistochemistry testing for the four MMR proteins, and/or microsatellite stability testing, in CRCs at time of initial surgery 27. Universal tumour MMR testing among CRC probands had a greater sensitivity for the identification of LS compared with multiple alternative strategies, although the increase in diagnostic yield was modest 28.The decision to undertake universal testing will be influenced by the utility of defining MMR deficiency for immunotherapies29. As a result of our conclusion that the high CRC mortality rate in NL is likely the result of high CRC incidence, and because the familial CRC rate is high in the province, we recommend development of population‐based colonoscopic screening strategies to target families at risk of CRC. Assessment of an accurate pedigree is probably best provided by subject matter experts in a central location, but algorithmic approaches to defining risk should be investigated. The strategy examined in this paper had a response rate of 51% but an inefficient process in the management of high and intermediate risk families. The work‐load of the genetic counsellor was too broad given the resources available, even though counselling was limited to high and intermediate–high‐risk families. To identify families at high risk of LS a family history first approach in patients who presented with CRC was inefficient, although it may be the only option for screening unaffected persons. A tumour/genomic DNA testing first approach may be better with referral for counselling because of the presence of microsatellite instability and/or deficiency of a MMR protein in the tumour (not caused by methylation). Table S1. Clinical characteristics of incident colon and rectal cancer patients <75 years in Newfoundland and Ontario Table S2. Survival following diagnosis in colon and rectal cancer by stage, comparing Newfoundland and Ontario Table S3. Definitions of Amsterdam 1 and 2 criteria, age and cancer modified Amsterdam criteria and Bethesda criteria for family risk of Lynch syndrome Table S4. Testing algorithm for suspected hereditary nonpolyposis colorectal cancer (HNPCC) families used in the Provincial Medical Genetics Program of Newfoundland and Labrador Table S5. Tumor results (N = 292) following release of information from hospitals Click here for additional data file.
  29 in total

1.  The breast cancer hormone receptor retesting controversy in Newfoundland and Labrador, Canada: lessons for the health system.

Authors:  Deborah M Gregory; Patrick S Parfrey
Journal:  Healthc Manage Forum       Date:  2010

2.  Genetic/Familial High-Risk Assessment: Colorectal Version 1.2016, NCCN Clinical Practice Guidelines in Oncology.

Authors:  Dawn Provenzale; Samir Gupta; Dennis J Ahnen; Travis Bray; Jamie A Cannon; Gregory Cooper; Donald S David; Dayna S Early; Deborah Erwin; James M Ford; Francis M Giardiello; William Grady; Amy L Halverson; Stanley R Hamilton; Heather Hampel; Mohammad K Ismail; Jason B Klapman; David W Larson; Audrey J Lazenby; Patrick M Lynch; Robert J Mayer; Reid M Ness; Scott E Regenbogen; Niloy Jewel Samadder; Moshe Shike; Gideon Steinbach; David Weinberg; Mary Dwyer; Susan Darlow
Journal:  J Natl Compr Canc Netw       Date:  2016-08       Impact factor: 11.908

3.  Screening practices of unaffected people at familial risk of colorectal cancer.

Authors:  Driss Ait Ouakrim; Alex Boussioutas; Trevor Lockett; Ingrid Winship; Graham G Giles; Louisa B Flander; Louise Keogh; John L Hopper; Mark A Jenkins
Journal:  Cancer Prev Res (Phila)       Date:  2011-10-26

4.  A population-based study of hereditary non-polyposis colorectal cancer: evidence of pathologic and genetic heterogeneity.

Authors:  G Warden; D Harnett; J Green; T Wish; M O Woods; R Green; E Dicks; P Rahman; G Zhai; P Parfrey
Journal:  Clin Genet       Date:  2013-02-07       Impact factor: 4.438

5.  High detection rate of adenomas in familial colorectal cancer.

Authors:  A E van der Meulen-de Jong; H Morreau; M C J M Becx; L F S J Crobach; M van Haastert; W R ten Hove; J H Kleibeuker; M A C Meijssen; F M Nagengast; M C M Rijk; J M J I Salemans; A Stronkhorst; H A R E Tuynman; J Vecht; M L Verhulst; W H de Vos tot Nederveen Cappel; H Walinga; O K Weinhardt; B D Westerveld; A M C Witte; H J Wolters; H F A Vasen
Journal:  Gut       Date:  2010-09-09       Impact factor: 23.059

6.  New clinical criteria for hereditary nonpolyposis colorectal cancer (HNPCC, Lynch syndrome) proposed by the International Collaborative group on HNPCC.

Authors:  H F Vasen; P Watson; J P Mecklin; H T Lynch
Journal:  Gastroenterology       Date:  1999-06       Impact factor: 22.682

7.  Revised Bethesda Guidelines for hereditary nonpolyposis colorectal cancer (Lynch syndrome) and microsatellite instability.

Authors:  Asad Umar; C Richard Boland; Jonathan P Terdiman; Sapna Syngal; Albert de la Chapelle; Josef Rüschoff; Richard Fishel; Noralane M Lindor; Lawrence J Burgart; Richard Hamelin; Stanley R Hamilton; Robert A Hiatt; Jeremy Jass; Annika Lindblom; Henry T Lynch; Païvi Peltomaki; Scott D Ramsey; Miguel A Rodriguez-Bigas; Hans F A Vasen; Ernest T Hawk; J Carl Barrett; Andrew N Freedman; Sudhir Srivastava
Journal:  J Natl Cancer Inst       Date:  2004-02-18       Impact factor: 13.506

8.  Lynch syndrome: barriers to and facilitators of screening and disease management.

Authors:  Kathy E Watkins; Christine Y Way; Jacqueline J Fiander; Robert J Meadus; Mary Jane Esplen; Jane S Green; Valerie C Ludlow; Holly A Etchegary; Patrick S Parfrey
Journal:  Hered Cancer Clin Pract       Date:  2011-09-07       Impact factor: 2.857

Review 9.  Opportunities for immunotherapy in microsatellite instable colorectal cancer.

Authors:  Harm Westdorp; Felix L Fennemann; Robbert D A Weren; Tanya M Bisseling; Marjolijn J L Ligtenberg; Carl G Figdor; Gerty Schreibelt; Nicoline Hoogerbrugge; Florian Wimmers; I Jolanda M de Vries
Journal:  Cancer Immunol Immunother       Date:  2016-04-08       Impact factor: 6.968

Review 10.  Effect of flexible sigmoidoscopy-based screening on incidence and mortality of colorectal cancer: a systematic review and meta-analysis of randomized controlled trials.

Authors:  B Joseph Elmunzer; Rodney A Hayward; Philip S Schoenfeld; Sameer D Saini; Amar Deshpande; Akbar K Waljee
Journal:  PLoS Med       Date:  2012-12-04       Impact factor: 11.069

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  2 in total

1.  Universal tumor screening for Lynch syndrome: perspectives of Canadian pathologists and genetic counselors.

Authors:  Elizabeth Dicks; Daryl Pullman; Ken Kao; Andrée MacMillan; Charlene Simmonds; Holly Etchegary
Journal:  J Community Genet       Date:  2018-11-21

2.  Universal tumor screening for Lynch syndrome: Perceptions of Canadian pathologists and genetic counselors of barriers and facilitators.

Authors:  Elizabeth Dicks; Daryl Pullman; Ken Kao; Andrée MacMillan; Gabrielle S Logan; Charlene Simmonds; Holly Etchegary
Journal:  Cancer Med       Date:  2019-05-17       Impact factor: 4.452

  2 in total

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