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. Author manuscript; available in PMC: 2022 Jul 1.
Published in final edited form as: Lancet Oncol. 2021 Jun 7;22(7):1014–1022. doi: 10.1016/S1470-2045(21)00189-3

Variation in the Risk of Colorectal Cancer for Lynch Syndrome: A retrospective family cohort study

International Mismatch Repair Consortium*, Aung Ko Win 1, James G Dowty 1, Jeanette C Reece 1, Grant Lee 1, Allyson S Templeton 1, John-Paul Plazzer 1, Daniel D Buchanan 1, Kiwamu Akagi 1, Seçil Aksoy 1, Angel Alonso 1, Karin Alvarez 1, David J Amor 1, Ravindran Ankathil 1, Stefan Aretz 1, Julie L Arnold 1, Melyssa Aronson 1, Rachel Austin 1, Ann-Sofie Backman 1, Sanne W Bajwa–ten Broeke 1, Verónica Barca-Tierno 1, Julian Barwell 1, Inge Bernstein 1, Pascaline Berthet 1, Beate Betz 1, Yves-Jean Bignon 1, Talya Boisjoli 1, Valérie Bonadona 1, Laurent Briollais 1, Joan Brunet 1, Karolin Bucksch 1, Bruno Buecher 1, Reinhard Buettner 1, John Burn 1, Trinidad Caldés 1, Gabriel Capella 1, Olivier Caron 1, Graham Casey 1, Min H Chew 1, Yun-hee Choi 1, James Church 1, Mark Clendenning 1, Chrystelle Colas 1, Elisa J Cops 1, Isabelle Coupier 1, Marcia Cruz-Correa 1, Albert de la Chapelle 1, Niels de Wind 1, Tadeusz Dębniak 1, Adriana Della Valle 1, Capuccine Delnatte 1, Marion Dhooge 1, Mev Dominguez-Valentin 1, Youenn Drouet 1, Floor A Duijkers 1, Christoph Engel 1, Patricia Esperon 1, D Gareth Evans 1, Aída Falcón de Vargas 1, Jane C Figueiredo 1, William Foulkes 1, Emmanuelle Fourme 1, Thierry Frebourg 1, Steven Gallinger 1, Pilar Garre 1, Maurizio Genuardi 1, Anne-Marie Gerdes 1, Lauren M Gima 1, Sophie Giraud 1, Annabel Goodwin 1, Heike Görgens 1, Kate Green 1, Jose Guillem 1, Carmen Guillén-Ponce 1, Roselyne Guimbaud 1, Rodrigo S C Guindalini 1, Elizabeth E Half 1, Michael J Hall 1, Heather Hampel 1, Thomas V O Hansen 1, Karl Heinimann 1, Frederik J Hes 1, James Hill 1, Judy WC Ho 1, Elke Holinski-Feder 1, Nicoline Hoogerbrugge 1, Robert Hüneburg 1, Vanessa Huntley 1, Paul A James 1, Uffe B Jensen 1, Thomas John 1, Wan KW Juhari 1, Matthew Kalady 1, Fay Kastrinos 1, Matthias Kloor 1, Maija RJ Kohonen-Corish 1, Lotte N Krogh 1, Sonia S Kupfer 1, Uri Ladabaum 1, Kristina Lagerstedt-Robinson 1, Fiona Lalloo 1, Christine Lasset 1, Andrew Latchford 1, Pierre Laurent-Puig 1, Charlotte K Lautrup 1, Barbara A Leggett 1, Sophie Lejeune 1, Loic LeMarchand 1, Marjolijn Ligtenberg 1, Noralane Lindor 1, Markus Loeffler 1, Michel Longy 1, Francisco Lopez 1, Jan Lowery 1, Jan Lubiński 1, Anneke M Lucassen 1, Patrick M Lynch 1, Karolina Malińska 1, Nagahide Matsubara 1, Jukka-Pekka Mecklin 1, Pål Møller 1, Kevin Monahan 1, Patrick J Morrison 1, Jacob Nattermann 1, Matilde Navarro 1, Florencia Neffa 1, Deborah Neklason 1, Polly A Newcomb 1, Joanne Ngeow 1, Cassandra Nichols 1, Maartje Nielsen 1, Dawn M Nixon 1, Catherine Nogues 1, Henrik Okkels 1, Sylviane Olschwang 1, Nicholas Pachter 1, Rish K Pai 1, Edenir I Palmero 1, Mala Pande 1, Susan Parry 1, Swati G Patel 1, Rachel Pearlman 1, Claudia Perne 1, Marta Pineda 1, Nicola K Poplawski 1, Kirsi Pylvänäinen 1, Jay Qiu 1, Nils Rahner 1, Raj Ramesar 1, Lene J Rasmussen 1, Silke Redler 1, Rui M Reis 1, Luigi Ricciardiello 1, Emilia Rogoża-Janiszewska 1, Christophe Rosty 1, N Jewel Samadder 1, Julian R Sampson 1, Hans K Schackert 1, Wolff Schmiegel 1, Karsten Schulmann 1, Helène Schuster 1, Rodney Scott 1, Leigha Senter 1, Toni T Seppälä 1, Rakefet Shtoyerman 1, Rolf H Sijmons 1, Carrie Snyder 1, Ilana B Solomon 1, Jose Luis Soto 1, Melissa C Southey 1, Allan Spigelman 1, Florencia Spirandelli 1, Amanda B Spurdle 1, Verena Steinke-Lange 1, Elena M Stoffel 1, Christian P Strassburg 1, Lone Sunde 1, Rachel Susman 1, Sapna Syngal 1, Kohji Tanakaya 1, Gülçin Tezcan 1, Christina Therkildsen 1, Steve Thibodeau 1, Naohiro Tomita 1, Katherine M Tucker 1, Berrin Tunca 1, Daniela Turchetti 1, Nancy Uhrhammer 1, Joji Utsunomiya 1, Carlos Vaccaro 1, Fränzel JB van Duijnhoven 1, Meghan J van Wanzeele 1, Deepak B Vangala 1, Hans FA Vasen 1, Magnus von Knebel Doeberitz 1, Jenny von Salomé 1, Karin A W Wadt 1, Robyn L Ward 1, Jürgen Weitz 1, Jeffrey N Weitzel 1, Heinric Williams 1, Ingrid Winship 1, Paul E Wise 1, Julie Wods 1, Michael O Woods 1, Tatsuro Yamaguchi 1, Silke Zachariae 1, Mohd N Zahary 1, John L Hopper 1, Robert W Haile 1, Finlay A Macrae 1, Gabriela Möslein 1, Mark A Jenkins 1
PMCID: PMC8934577  NIHMSID: NIHMS1784498  PMID: 34111421

Summary

Background:

Current clinical practice guidelines for carriers of pathogenic variants of DNA mismatch repair genes (Lynch syndrome) are based on the average age-specific cumulative risk (penetrance) of colorectal cancer for all carriers of pathogenic variants in the same gene. We aimed to estimate how much penetrance varies between carriers of pathogenic variants in the same gene by sex and continent of residence of the carrier.

Methods:

We studied 79,809 relatives from 5,255 families, of at least three relatives, in which at least one was a confirmed carrier of a pathogenic or likely pathogenic variant in a mismatch repair gene (1,829 MLH1, 2,179 MSH2, 798 MSH6, 449 PMS2), recruited in 15 countries from North America, Europe and Australasia by the collaborative centres of the International Mismatch Repair Consortium. We used modified segregation analysis conditioned on ascertainment to estimate the average penetrance and modelled unmeasured polygenic factors to estimate the variation in penetrance of colorectal cancer. The existence of familial risk factors modifying colorectal cancer risk for Lynch syndrome carriers was tested using a Wald p-value for the null hypothesis that the polygenic standard deviation is zero.

Findings:

There was strong evidence of the existence of familial risk factors modifying colorectal cancer risk for Lynch syndrome carriers (p<0.0001 for all three continents). These resulted in a wide within-gene variation in the risk of colorectal cancer for males and females from each continent among carriers of all pathogenic variants combined of each gene, and among carriers of the MSH2 c.942+3A>T variant. The variation was more prominent for MLH1 and MSH2 variant carriers; depending on gene, sex, and continent, with 7–56% of carriers having a risk of colorectal cancer to age 80 of less than 20%, and 9–44% having a risk of more than 80%, while only 10–19% had a risk of 40–60%.

Interpretation:

Our study findings highlight the important role of risk modifiers, which could lead to personalised risk assessment for precision prevention and early detection of colorectal cancer for Lynch syndrome.

Keywords: Lynch syndrome, mismatch repair, penetrance, colorectal cancer, polygenic risk

Introduction

Lynch syndrome, caused by inherited pathogenic variants in one of four DNA mismatch repair genes, is the most common genetic cause of colorectal cancer,(1) accounting for approximately 3% of all cases(2) and 8–15% of cases diagnosed before age 50 years.(3) One in 279 of the population in Western countries is estimated to carry a pathogenic variant in a mismatch repair gene.(4) For carriers of a pathogenic variant in MLH1, MSH2, or MSH6, the cumulative risk to age 70 of colorectal cancer (penetrance) is estimated to be 20% to 60%, depending on the mismatch repair gene mutated and the sex of the carrier.(58) Based on these estimates, all current clinical practice guidelines from Europe(9), USA(10, 11), Canada(12), Australia(13) and New Zealand(14) unanimously recommend every Lynch syndrome carrier to undergo frequent colonoscopies (every 1, 2 or 3 years) beginning at a young age ranging from 25 to 35 years.

Penetrance for an individual carrier depends on their personal characteristic, lifestyle factors, the specific variant within the mismatch repair gene and other genetic factors.(15) Given a substantial variation in the risks of colorectal cancer for the general population around the globe,(16) colorectal cancer risk for Lynch syndrome carriers could also vary by geographic region but the evidence is not clear yet. Further, penetrance estimates of colorectal cancer have been found to vary substantially across carriers of pathogenic variants in the same gene, in addition to a variation by which gene has the pathogenic variant and the sex of the carrier. A study from the Colon Cancer Family Registry(5) has reported that, depending on the gene and sex, 16–23% of MLH1 and MSH2 pathogenic variant carriers had a lifetime colorectal cancer risk of less than 10% (i.e., their risk is close to the average risk for the general population); yet 10–17% of carriers had a lifetime risk of more than 90% (i.e., these carriers are almost certain to develop the disease). This finding is yet to be confirmed by a larger and more comprehensive study because, if such wide variation in risk does exist, the current screening guidelines might not be optimal for a majority of carriers—they could be either over-screened (e.g., those with less than 20% lifetime risk) or under-screened (e.g., those with more than 80% lifetime risk).

As an initiative to address this critical clinical issue encountered in genetics clinics worldwide every day, we have established the International Mismatch Repair Consortium (IMRC), a collaborative international workforce of Lynch syndrome researchers and clinicians, with the facilitation of the International Society for Gastrointestinal Hereditary Tumours (InSiGHT), the Collaborative Group of the Americas on Inherited Gastrointestinal Cancer (CGA) and the Colon Cancer Family Registry.(17) In the current study, we have amassed over 5,000 Lynch syndrome families to estimate the magnitude of variation in the risk of colorectal cancer across carriers of a pathogenic variant within the same gene, by different geographic regions of residence.

Methods

Data Source

This study data came from the International Mismatch Repair Consortium (IMRC), which currently comprises 273 members from 122 research centres or clinics in 32 countries throughout six continents (Africa, Asia, Australasia, Europe, North and South America), involved in research or treatment of Lynch syndrome – see http://www.sphinx.org.au/imrc.(17) The study has been approved by the institutional human ethics committees, institutional review boards or central national authorities of participating centres, where required.

Data Collection

The following data was collected between 11 July 2014 and 31 December 2018. For each family: id number, mismatch repair gene with pathogenic variant; method of ascertainment of the family (population-based source such as cancer registry, or familial cancer clinic or genetics clinic); date the family was ascertained; and person in the family first identified as carrying the pathogenic variant (the proband). For each family member: personal ID, mother ID, father ID, sex, carrier status of pathogenic variant (carrier/non-carrier/untested), genetic testing date; cancer diagnoses (anatomical site and age of diagnosis); polypectomies and bowel surgery (ages); and ages at the time of pedigree collection and at last contact or death. Investigators at the Centre for Epidemiology and Biostatistics, The University of Melbourne, received data from IMRC members, checked data quality and consistency and liaised with contributor to redress incomplete or inconsistent data. Variants were classified for pathogenicity using the InSiGHT Variant Interpretation Committee Mismatch Repair Gene Variant Classification Criteria (http://www.insight-database.org/classifications).(18)

Eligibility Criteria

Analysis was restricted to families with at least three family members (because conditioning for ascertainment required non-singleton families i.e., at least one person and two parents) and at least one confirmed carrier of a variant in one of the DNA mismatch repair genes MLH1, MSH2, MSH6 and PMS2 or loss of EPCAM, classified as likely pathogenic or pathogenic (LOVD class 4 or 5),(18) or if the variant was not previously submitted to the LOVD, reported to be pathogenic by the submitter and confirmed to be likely pathogenic by the curator of the LOVD; collectively referred to as pathogenic variants. The families of probands with known de novo pathogenic variants (both parents testing negative for the variant) were excluded from the analysis. Where possible, families who had family members in common were identified and combined with the youngest proband selected as the proband for the combined family. Population-based families were defined as those for which the probands were ascertained from population-based studies or hospital-based series reported as being independent of family history of cancer. Clinic-based families were defined as those for which the probands were referred to genetic or familial cancer clinics/hospitals presumably because of a family history of cancer.

Statistical Methods

This was a retrospective family cohort study in which cancer incidences were observed in first- and second-degree relatives from birth to the earliest of the age at diagnosis of first cancer, age at first polypectomy or bowel resection, last known age alive or age at death. We conducted a segregation analysis(19, 20) fitted by maximum likelihood, using MENDEL version 3.2.(21) This method enables ungenotyped family members to be included in the analysis, based on their ages, cancer affected statuses, and relationships to known carriers and non-carriers. Analyses were adjusted for the population- and clinic-based ascertainment by conditioning each family’s data either on the proband’s genotype, cancer status and age (for population-based families) or on this proband data as well as the ages and affected statuses of all family members (for clinic-based families). Analyses were conducted for each gene (all pathogenic variants combined), and for a single gene variant MSH2 c.942+3A>T, the most common pathogenic variant reported in the dataset.

Models that attribute all familial aggregation of disease to the major gene being studied can give biased estimates of risk,(22) so in addition to the mismatch repair genes, all models incorporated an unmeasured polygenic component, which models the combined effects of common colorectal cancer risk factors that are correlated within families. Hazard ratios (HRs; the sex-, age-, gene- and continent-specific cancer incidences for carriers, divided by those for non-carriers) and the polygenic standard deviation (SD, a measure of the variation in risk between individual carriers with the same sex, age and mutated gene) were estimated for each continent. The HRs for colorectal cancer were allowed to vary as piece-wise linear functions of age that were constant before age 40 and after age 60, and linear in between, consistent with the results of a previous study.(5) This allows the HR to differ by age, but makes no assumptions on whether the HR was higher, lower or similar for those aged under 40 compared with those over 60. The polygenic SD was assumed to be the same for both clinic- and population-based settings, consistent with the results of a previous study,(5) and fit to be constant with age, since the models did not show a better fit when we allowed the polygenic SD to vary by age.

The colorectal cancer HRs and polygenic SDs were then used to calculate average age-specific cumulative risks (penetrance), and the corresponding distribution of carriers across deciles of lifetime penetrance, which is defined to be the cumulative risk to age 80 years, the limit set by the majority of previous studies. Due to much longer run-time required for more complex analyses, no attempt was made to test the HRs for age-dependence although age-constant HRs might be more appropriate in some settings and give more precise estimates. The existence of familial risk factors modifying colorectal cancer risk for carriers was tested using a Wald p-value for the null hypothesis that the polygenic SD is zero. The p-value threshold for significance was 0.05. See detailed statistical methods in Appendix p7–10.

Missing data

Age information for each family member was required for the pedigree analysis, so we imputed an age for each family member whose age was not reported (37% of total) using a defined protocol, as follows. If an exact age was unknown but an age range was provided, the age was estimated as the midpoint of the range. If the age at diagnosis was unknown, it was assumed to be the same as age at death (if the person was deceased) or the mean age at diagnosis for the specific cancer for their continent (if the person was alive). For family members with an unknown last age, ages were censored at the time they were last known to be alive (e.g., at the age of cancer diagnosis). In the absence of any age information, it was assumed that both parents of the proband were born in the same year, that years of birth differed by 25 years in each generation (e.g., at birth of proband, parents were aged 25 years and grandparents were aged 50 years), and the ages of the siblings were the same.

Role of Funding Sources

The content of this manuscript does not necessarily reflect the views or policies of any of the sponsors or collaborating centres in the IMRC, nor does mention of trade names, commercial products, or organizations imply endorsement by the IMRC. Authors had full responsibility for study conceptualisation, data curation, investigation, methodology, writing and editing of the manuscript. The funders of the study had no role in study design, data collection, analysis, interpretation, or writing of the report. All authors had access, on request, to all the data reported in the study. The corresponding author had full access to all of the data and the final responsibility to submit for publication.

Results

Of the data from 32 countries submitted to the IMRC, data for 10 countries was either incomplete or not submitted by the deadline for this analysis. Total 5,585 Lynch syndrome families (1,962 MLH1, 2,311MSH2, 827 MSH6, 457 PMS2, 28 EPCAM) from 22 countries in five continents (11 from Europe, 2 from North America, 2 from Australasia, 3 from Asia, 4 from South America) were eligible for the analysis (Appendix p11). Of those, there were insufficient numbers of families to estimate penetrance for Asia and South America, and for EPCAM variants. The analysis was restricted to 5,255 families from 15 countries in Europe, North America and Australasia for the four DNA mismatch repair genes (1,829 MLH1, 2,179 MSH2, 798 MSH6, 449 PMS2) (Table 1). Of them, 309 (5.9%) were ascertained via population-based resources (44 from Europe, 219 from North America, 46 from Australasia). The analysis included 79,809 relatives (31,944 first-degree relatives and 47,865 second-degree relatives), with an average 24.8 (SD 13.2) relatives per family (range, 3–106) of whom 8,087 (10%) were diagnosed with colorectal cancer at a mean age of 50.7 (SD 14.5) years and 10,114 (13%) were diagnosed with an extracolonic cancer.

Table 1.

The numbers of Lynch syndrome families included in the current analysis by gene and continent

Region MLH1 MSH2 MSH6 PMS2 Total
Europe 1049 1245 392 154 2840

 Denmark 66 135 86 17 304
 Finland 12 1 0 0 13
 France 244 254 32 0 530
 Germany 421 517 89 44 1071
 Italy 3 11 3 0 17
 Norway 15 44 31 11 101
 Poland 6 1 0 0 7
 Spain 118 73 49 16 256
 Switzerland 5 3 2 0 10
 The Netherlands 0 0 36 46 82
 United Kingdom 159 206 64 20 449

North America 526 637 242 199 1604

 Canada 69 77 16 11 173
 USA 457 560 226 188 1431

Australasia 254 297 164 96 811

 Australia 244 289 159 94 786

 New Zealand 10 8 5 2 25

Total 1829 2179 798 449 5255
*

Note: These are the number of families provided for this analysis and do not represent the numbers of families known in each of the countries.

The penetrance of colorectal cancer was, on average, observed to be highest for MLH1 and MSH2, and lowest for PMS2 variant carriers (Figure 1 and Appendix p12). There was strong evidence of the existence of familial risk factors modifying colorectal cancer risk for Lynch syndrome carriers (p<0.0001 for all three continents). The HR (95% CI) per one polygenic SD for carriers from Europe, North America and Australasia were observed to be 5.4 (2.9–9.9), 5.1 (3.5–7.4) and 3.5 (2.0–5.9), respectively (Table 2). That is, as an example, for Lynch syndrome carriers from Europe, there is an estimated 5.4-times increased risk of colorectal cancer for each standard deviation increment in polygenic factors.

Figure 1.

Figure 1.

Average age-specific cumulative risks (penetrance) of colorectal cancer for Lynch syndrome carriers from Australasia (blue lines), North America (pink lines) and Europe (orange lines), by sex and gene, with shaded areas representing the corresponding 95% confidence intervals. The overall estimates for MSH2 include the variant MSH2 c.942+3A>T, and the specific estimates for MSH2 c.942+3A>T are based on hazard ratio estimates that were constrained to be the same across the three continents.

Table 2.

Hazard ratios (with corresponding 95% confidence intervals) of colorectal cancer for Lynch syndrome carriers, by their age, sex, gene and continent

Female Male

Continent Gene Age 40 Age 60 Age 40 Age 60
Europe MLH1 23.4 (9.0–61.0) 22.3 (8.7–57.3) 37.5 (15.7–89.7) 35.8 (15.0–85.7)
MSH2 25.2 (10.3–61.6) 13.03 (4.10–41.3) 27.9 (12.8–60.4) 18.2 (6.67–49.6)
MSH6 2.96 (0.79–11.04) 3.27 (1.18–9.06) 14.8 (4.35–50.2) 4.28 (1.28–14.29)
PMS2 1.06 (0.17–6.62) 4.08 (1.64–10.15) 6.65 (1.65–26.7) 2.16 (0.73–6.39)
Polygenic factors# 5.4 (2.9–9.9)

North America MLH1 72.1 (42.0–123.8) 32.9 (15.7–69.1) 165.3 (103–266) 32.2 (12.5–82.8)
MSH2 81.0 (51.1–128.6) 30.45 (14.48–64.0) 126 (84.6–187) 18.4 (8.10–42.0)
MSH6 2.56 (0.21–31.29) 7.16 (2.91–17.65) 29.3 (11.98–71.9) 10.23 (3.64–28.71)
PMS2 8.23 (1.73–39.20) 1.99 (0.45–8.73) 9.75 (1.78–53.3) 4.90 (0.88–27.42)
Polygenic factors# 5.1 (3.5–7.4)

Australasia MLH1 117 (59.2–232) 15.9 (4.4–57.7) 138 (71.0–267) 13.3 (3.4–52.9)
MSH2 101.5 (37.0–279) 6.17 (1.33–28.6) 156 (68.9–351.2) 24.9 (5.16–120.2)
MSH6 3.86 (0.89–16.8) ^ 3.86 (0.87–17.0) ^ 20.5 (6.22–67.8) 2.72 (0.44–16.65)
PMS2 6.99 (1.07–45.66) 2.07 (0.40–10.69) 26.84 (5.68–127) 2.15 (0.34–13.49)
Polygenic factors# 3.5 (2.0–5.9)
*

Hazard ratios were calculated as the incidence of colorectal cancer for carriers divided by that for non-carriers (assumed to be the same with age, sex, country-specific incidence for the general population). Estimates of the hazard ratios and polygenic standard deviation were assumed to constant before age 40 and after age 60 and linear in between.

#

HR per one standard deviation of polygenic factors with estimates constrained to be constant over age and the same for all genes and both sexes in each continent.

^

For Australasian female MSH6 carriers, hazard ratios were fixed to be age-independent

This variation in risk was apparent in the estimated proportion of carriers across various deciles of lifetime penetrance (Figure 2 and Appendix p13). For example, 14% of European male MLH1 carriers were estimated to have colorectal cancer penetrance to age 80 of 40–60% while 23% and 33% were estimated to have <20% penetrance and >80% penetrance, respectively. For MSH6, a majority of carriers were estimated to have <20% penetrance while a small fraction of carriers had >80% penetrance. Similar finding was observed for PMS2 variant carriers (Table 3).

Figure 2.

Figure 2.

Estimated proportion of Lynch syndrome carriers in various risk groups (defined by deciles of colorectal cancer cumulative risks to age 80 years) for Australasia (blue rectangles), North America (pink rectangles) and Europe (orange rectangles), by sex and gene, with 95% confidence intervals represented as black error bars. The denominator being all carriers of a pathogenic mutation in the same gene and of the same sex and from the same continent. For example, in the top left panel (MLH1 and Female), the left-most orange bar says that an estimated 28% of female MLH1 variant carriers living in Europe have less than a 10% chance of developing colorectal cancer by age 80 years. The overall estimates for MSH2 include the variant MSH2 c.942+3A>T, and the specific estimates for MSH2 c.942+3A>T are based on hazard ratio estimates that were constrained to be the same across the three continents.

Table 3.

Estimated proportions (with corresponding 95% confidence intervals) of Lynch syndrome carriers with less than 20%, between 40% and 60%, and more than 80% penetrance*, by sex, gene and continent

Proportion of female carriers with Proportion of male carriers with

Gene Continent <20% Penetrance 40–60% Penetrance >80% Penetrance <20% Penetrance 40–60% Penetrance >80% Penetrance
MLH1 Europe 44% (20-64%) 12% (7-19%) 15% (6-28%) 23% (6-42%) 14% (10-20%) 33% (18-51%)
North America 31% (16-46%) 14% (11-18%)) 23% (14-36%) 22% (9-36%) 14% (11-18%) 33% (20-49%)
Australasia 20% (2-45%) 19% (12-30%) 22% (6-48%) 14% (1-36%) 18% (11-28%) 30% (10-59%)

MSH2 Europe 56% (30-74%) 10% (6-17%) 9% (2-22%) 36% (15-55%) 13% (9-20%) 21% (9-35%)
North America 32% (16-48%) 14% (10-18%) 22% (13-35%) 32% (17-46%) 14% (11-18%) 23% (14-34%)
Australasia 36% (5-65%) 16% (8-29%) 11% (1-37%) 7% (0-28%) 16% (5-25%) 44% (17-82%)

MSH6 Europe 84% (65-94%) 4% (1-8%) 2% (0-5%) 67% (41-84%) 8% (3-14%) 5% (1-15%)
North America 70% (46-85%) 7% (3-13%) 4% (1-12%) 50% (25-70%) 11% (7-17%) 11% (4-26%)
Australasia 63% (23-86%) 9% (3-21%) 3% (0-12%) 61% (9-89%) 9% (2-24%) 3% (0-26%)

PMS2 Europe 72% (44-87%) 6% (3-13%) 4% (1-11%) 81% (57-92%) 4% (2-10%) 2% (0-7%)
North America 83% (55-95%) 4% (1-10%) 2% (0-9%) 69% (29-88%) 7% (2-15%) 4% (1-24%)
Australasia 74% (22-96%) 6% (0-20%) 1% (0-15%) 63% (14-92%) 9% (1-23%) 3% (0-24%)
*

age-specific cumulative risk of colorectal cancer to age 80 years

A wide variation in colorectal cancer risk was observed even when analysis was restricted to the 250 families carrying a specific MSH2 pathogenic variant, c.942+3A>T. Depending on the sex and continent, approximately 9–15% of carriers had <20% penetrance while 33–45% of carriers had >80% penetrance (Figure 2 and Appendix p13).

When models with and without age imputation were compared, the results did not differ substantially, therefore results from the non-imputed analysis are not shown in detail.

Discussion

This large international cohort study of Lynch syndrome families from different continents has implications for colorectal cancer prevention in Lynch syndrome. Firstly, the pathogenic variant does not account for all the observed family history of the disease. This is consistent with the existence of risk factors shared by relatives, including polygenic factors, that modify colorectal cancer risk. Secondly, these risk modifiers (or at least the ones modelled) are strong and common enough to cause a wide variation in the risk of colorectal cancer across Lynch syndrome carriers. As a consequence a majority of carriers are observed to be either at the lower end (near average population risk) or the upper end (almost certain to develop colorectal cancer) of the risk distribution. Thirdly, variation in colorectal cancer risk exists internationally with similar findings for Europe, North America and Australasia. However, since a majority of data contributed to the IMRC was originally collected for clinical genetics purposes, screening and polypectomy history, important for penetrance estimation and interpretation, was often not available.

An implication of this wide variation in risk is that the average cumulative risk presented here, as well as reported by previous penetrance studies,(58) applies to only a minority of carriers, not the majority of carriers, and thus, current guidelines may not be applicable for a large proportion of carriers. Although the variation in risk is consistent with the existence of polygenic risk factors, it was based on only one of many possible models. In addition, as these are yet to be identified, it is not possible to directly determine where individual lie on the distribution of colorectal cancer risk. However, as family history is a proxy measure for this polygenic risk, in theory a detailed family history (acknowledging the challenges of collecting a detailed and accurate family history) could be used to approximate the risk of colorectal cancer for carriers, as has been done for breast and ovarian cancer risk for BRCA1 and BRCA2 mutation.(23) This has implications for determining risk-based screening towards precision prevention and early detection for Lynch syndrome.

Potential candidates for the polygenic factors include the more than 100 single nucleotide polymorphisms (SNPs) that, when combined into a polygenic risk score, can be used to identify people who are at elevated or decreased risk of colorectal cancer for the general population.(24) However, a study of 827 Lynch syndrome carriers found no evidence of association with a polygenic risk score comprising 107 SNPs reported to be associated with colorectal cancer.(25) Ten rare SNPs in candidate cell-cycle genes have been shown to be associated with colorectal cancer risk; with the 7% of Lynch syndrome carriers who were homozygous carriers for three or more of these SNPs having a 4.4-times increased colorectal cancer risk(26).

The actual cause for the wide variation in risk could be due to any risk-modifying factors correlated between relatives. Multiple environmental modifiers have been identified for colorectal cancer for Lynch syndrome, including body mass, smoking, alcohol consumption, aspirin and ibuprofen intake, diabetes mellitus, increased cholesterol, multivitamin or calcium supplements, fruit and vegetable intake, meat consumption, and physical activity.(9, 15) Mouse models suggest intestinal microbiome and the exposure to dietary mutagens may have a carcinogenic role in Lynch syndrome.(27) To the extent that any of these factors above aggregate within families, they may be an explanation, at least in part, for variation in risk.

We did consider that the variation in colorectal cancer risk could be due to variant-specific effects on risk. In other words, the risk of colorectal cancer is specific for the particular variant in the particular gene. If this were the explanation for the observed variation in risk, we would expect there to be less variation in colorectal cancer risk for carriers who all had the same specific pathogenic variant. We were able to assess the variation in risk between carriers of the c.942+3A>T variant in MSH2, the most common variant in the data provided, and observed a wide variation in risk, similar to all MSH2 pathogenic variants combined. Therefore, we cannot conclude that the variation in risk is due to variant-specific risks. Future research should examine this issue further by estimating penetrance by the predicted effect of variant on protein function.

Evidence for a polygenic modifier of similar magnitude has also been observed for the pathogenic variants in BRCA1 and BRCA2 for the penetrance of breast cancer. Using methods similar to ours, investigators of the family histories of 1,484 carriers of a pathogenic variants in BRCA1 and BRCA2 estimated a polygenic SD of 1.4(19) compared with our estimates that ranged from 1.1 to 2.5.

Our observation of a variation in colorectal cancer penetrance by mismatch repair gene and by sex (higher for men for MLH1 and MSH2), is consistent with the findings from the large international prospective analyses.(8) However, potential reasons for these differences were not identifiable from this dataset. To our knowledge, we provide, for the first time, colorectal cancer risk for Lynch syndrome carriers by continent. These risks reflect the role of environmental or genetic modifiers as well as screening practices or health systems which may differ between these continents. If these region-specific factors influencing penetrance can be identified, they will be of potential clinical relevance as an avenue for more risk-appropriate clinical management specific for each region. These data raise the question of variation in the risks of other Lynch syndrome-related cancers and the potential clinical implications, a line of research we have already planned for future analyses.

A major strength of our study is the contribution of IMRC collaborators to this analysis, which makes this the largest family study conducted to date for Lynch syndrome penetrance. Another major strength is the modified segregation analysis method we used for this analysis properly adjusted for family ascertainment (thereby minimising bias), and used data of all family members, whether genotyped or not (thereby maximising statistical power), and included deceased individuals (thereby reducing survival bias).

A limitation of our study is the incomplete validation of the reported history of colorectal cancer and other cancers in relatives. We were unable to support linkages to cancer or death registries or validation against medical records for every family. However, given the majority of families has been provided from well-resourced family cohorts such as Colon Cancer Family Registry Cohort(28) and French-nationwide ERISCAM study(7) and from clinical records from familial cancer clinics. Given that we restricted analyses to first- and second-degree relatives, we think this issue would not have had a major impact on our estimates. In addition, because we only used the colorectal cancer incidence rates for a single country for each continent (Germany for Europe, USA for North America and Australia for Australasia), the risk of colorectal cancer for carriers could be lower or higher than presented here if they live in a country with lower or higher colorectal cancer incidence rates than the country chosen.

Another limitation of this study is the quality of data pertaining to polypectomy. Accurate knowledge of which carriers had a polypectomy and at what age, is necessary to avoid the potential for underestimating the risk of colorectal cancer. Although we sought polypectomy data from each contributor of families, this information was not available for all families included in this study. It is also possible that some of the variation in risk might be due to differences in screening with relatives in some families being more likely to screen and relatives in other families being less likely to screen. A recent study suggested that the effect on colorectal cancer risk of annual versus triennial colonoscopy screening strategies is unlikely to be large,(29) but we cannot rule out the effect of widely disparate patterns of screening across families e.g., population-based vs. clinic-based families, causing some of this observed risk variation. A further limitation was our inability to analyse data by subsite within the bowel i.e., proximal colon vs. distal colon vs. rectum given that the majority of submitted data did not include the specific subsite of cancer in the affected family members.

Due to an insufficient number of families from Asia, South America and Africa, we were unable to estimate the penetrance or a variation in penetrance for Lynch syndrome carriers from these continents with a reasonable degree of precision although this remains a goal of the IMRC. Given genetic testing is becoming widespread in many Asian and South American countries,(30) we are actively engaging to expand collaborations for further contributions of families from these regions to achieve this goal.

In summary, this large international study provides clear evidence of a wide variation in colorectal cancer risk for Lynch syndrome carriers, particularly for MLH1 and MSH2, consistent with the existence of strong familial risk factors that modify colorectal cancer risk. Further work on identifying and characterising genetic and environmental modifiers of penetrance is critical to enable personalised risk assessment of colorectal cancer, which would have a profound impact on the development of precision prevention and early detection for Lynch syndrome clinical management.

Supplementary Material

1

Research in context.

Evidence before this study

We searched PubMed Medline for peer-reviewed articles up to 31 December 2020, using the terms (“Lynch syndrome” OR “HNPCC” OR “mismatch repair”) AND (“colorectal tumour” OR “colorectal neoplasm”) AND (“risk variation” OR “risk difference” OR “penetrance variation” OR “penetrance difference”). References from relevant articles, letters, reviews and previous meta-analyses were reviewed to identify any additional studies that were not captured by the PubMed search. We only included prospective or retrospective studies that used rigorous methods to correct for ascertainment bias and reported age-specific risks of colorectal cancer for carriers of a pathogenic or likely pathogenic mutation in a specific DNA mismatch repair gene.

The current evidence shows that colorectal cancer risk for an individual carrier depends on their personal characteristic, lifestyle factors, the specific variant within the mismatch repair gene and other genetic factors. However, the current literature only reports, ‘average’ cumulative risk to age 70, which is estimated to be 20% to 60%, depending on the mismatch repair gene mutated and the sex of the carrier. Only one study provided evidence of the existence of a variation in penetrance estimates of colorectal cancer across carriers of pathogenic variants in the same gene, in addition to a variation by which gene has the pathogenic variant and the sex of the carrier.

Added value of this study

This large international study provides major novel findings and has important implications for colorectal cancer prevention in Lynch syndrome. Firstly, for families segregating any pathogenic variant in a DNA mismatch repair gene, the pathogenic variant does not account for all the observed family history of the disease. This observation is consistent with the existence of risk factors that modify Lynch syndrome colorectal cancer risk, that are yet to be identified but are shared by relatives, including polygenic factors. Secondly, these risk modifiers (or at least the ones modelled) are strong and common enough to cause a wide variation in the risk of colorectal cancer across Lynch syndrome carriers—a majority of carriers are observed to be either at the lower end or the upper end of the risk distribution, showing that they are at the average population risk or almost certain to develop colorectal cancer in their lifetime, respectively. Thirdly, this observed variation in colorectal cancer risk for Lynch syndrome carriers exists internationally with similar findings across three continents: Europe, North America and Australasia.

Implications of all the available evidence

An implication of this wide variation in risk is that the average risk presented here for each country, and a standard metric reported for most studies of penetrance, applies to only a minority of carriers of pathogenic variants in mismatch repair genes. The average risks are not representative for a majority of carriers and, thus, current guidelines may not be applicable for a large proportion of carriers. Further work on identifying and characterising genetic and environmental modifiers of penetrance is critical to enable personalised risk assessment of colorectal cancer, which would have a profound impact on the development of precision prevention and early detection for Lynch syndrome clinical management.

Acknowledgements

This work was supported by Project Grant 1063840 from the National Health and Medical Research Council (NHMRC), Australia.

The Colon Cancer Family Registry (CCFR) is supported in part funding from the National Cancer Institute (NCI), National Institutes of Health (NIH) award U01 CA167551. Additional Support for case ascertainment is provided in part from the Surveillance, Epidemiology, and End Results (SEER) Program and the following U.S. state cancer registries: AZ, CO, MN, NC, NH; and by the Victoria Cancer Registry (Australia) and Ontario Cancer Registry (Canada). The German Consortium for Familial Intestinal Cancer is supported by grants from the German Cancer Aid. The ICCon Partnership is funded by the Cancer Council New South Wales Strategic Research Partnership (STREP) scheme. Data collection for Wales is supported by Wales Gene Park, funded by Health and Care Research Wales. Data collection for Creighton University, Hereditary Cancer Center is supported by revenue from Nebraska cigarette taxes awarded to Creighton University by the Nebraska Department of Health and Human Services.

This work is also funded by the following grants: NHMRC Career Development Fellowship 1141746 (A K Win), Early Career Fellowship 1120081 (J C Reece), Career Development Fellowship 1125268 (D D Buchanan), Senior Research Fellowship 1061779 and Investigator Grant 1177524 (A B Spurdle), Senior Research Fellowship 1117611 (M A Jenkins), Senior Principal Research Fellowship 1137349 (J L Hopper); NIH/NCI R01 CA132829 (S Syngal); NIH U01/U24 CA074800 (R K Pai); NIH/NCI RC4CA153828 (J. Weitzel); RU grant 1001/CIPPT/813005 (R Ankathil); German Cancer Aid Grant No.190370 (S Aretz); Bengt Ihre Research Foundation, The Swedish Society of Medicine (A Backman); Dutch Cancer Society Grant UL-2012-5515 (S W Bajwa–ten Broeke); Fondo Investigatión Sanitaria PI 16/01292. Institute Salud Carlos III (T Caldés); Genesis Foundation, Montevideo, Uruguay (A D Valle); National Institute for Health Research BRC Manchester Grant Reference Number 1215-200074 (D G Evans); CIHR FDN 148390 (W Foulkes); Fondo Investigación Sanitaria PI 19/1366. Institute Salud Carlos III (P Garre); Cancer Council NSW RG 19-01 (M R J Kohonen-Corish); Cancer Research UK The Southampton Centre C328/A25139 (A M Lucassen); German Research Foundation DFG, SFB TR57, SPP1937 and Hector-Foundation M89 (J Nattermann); South African Medical Research Council (R Ramesar); Nordea-fonden, Novo Nordisk Foundation, Olav Thon Foundation, Sven Wewers fond (L J Rasmussen); FINEP-CT-INFRA (02/2010) and PRONON/MS (25000.056766/2015-64) (R M Reis); Fondazione AIRC per la Ricerca Sul Cancro, Investigator Grant 21723 (L Ricciardiello); German Cancer Aid (W Schmiegel); The Danish Cancer Society A-14570 (C Therkildsen); Dr. Norman & Melinda Payson Professorship in Medical Oncology (J N Weitzel); Norwegian Cancer Society Contract 194751-2017 (M Dominguez-Valentin); Jane and Aatos Erkko Foundation, Emil Aaltonen Foundation, Finnish Medical Foundation, Sigrid Juselius Foundation, Instrumentarium Science Foundation, iCAN Flagship of the Academy of Finland and Cancer Foundation Finland (T T Seppälä and J Mecklin); and National Medical Research Council Singapore Clinical Scientist Award NMRC/CSA-INV/0017/2017 (J Ngeow).

The authors thank all study participants and staff from all collaborative centres of the IMRC for their contributions to this work including but not limited to Donna Job, Newcastle University, and Chris Michael-Lovatt, PeterMacCallum Cancer Centre.

Funding:

National Health and Medical Research Council, Australia.

Footnotes

Declaration of interests

We declare no competing interests.

Data sharing statement

Data collected for the study was contributed by the International Mismatch Repair Consortium (IMRC) investigators. Availability of this data will depend on the agreement of the investigators who contributed the data to the IMRC. Upon the agreement, de-identified individual participant data participant data that underlie the results reported in this publication will be made available, together with data dictionaries and the study protocol. The data will be available upon publication of all IMRC pre-specified manuscripts to researchers who provide a methodologically sound proposal for use in achieving the goals of the approved proposal. Proposals can be submitted according to the instructions provided in https://sphinx.org.au/imrc. To gain access, data requestors will need to sign a data access agreement with The University of Melbourne and participating IMRC centres.

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