Literature DB >> 32448342

Cancer risks in Lynch syndrome, Lynch-like syndrome, and familial colorectal cancer type X: a prospective cohort study.

Karolin Bucksch1, Silke Zachariae2, Stefan Aretz3,4, Reinhard Büttner5, Elke Holinski-Feder6,7, Stefanie Holzapfel3,4, Robert Hüneburg4,8, Matthias Kloor9,10, Magnus von Knebel Doeberitz9,10, Monika Morak6,7, Gabriela Möslein11, Jacob Nattermann4,8, Claudia Perne3,4, Nils Rahner12, Wolff Schmiegel13, Karsten Schulmann14,15, Verena Steinke-Lange6,7, Christian P Strassburg4,8, Deepak B Vangala13, Jürgen Weitz16, Markus Loeffler2, Christoph Engel2.   

Abstract

BACKGROUND: Individuals with pathogenic germline variants in DNA mismatch repair (MMR) genes are at increased risk of developing colorectal, endometrial and other cancers (Lynch syndrome, LS). While previous studies have extensively described cancer risks in LS, cancer risks in individuals from families without detectable MMR gene defects despite MMR deficiency (Lynch-like syndrome, LLS), and in individuals from families fulfilling the Amsterdam-II criteria without any signs of MMR deficiency (familial colorectal cancer type X, FCCX) are less well studied. The aim of this prospective study was to characterise the risk for different cancer types in LS, LLS, and FCCX, and to compare these with the cancer risks in the general population.
METHODS: Data was taken from the registry of the German Consortium for Familial Intestinal Cancer, where individuals were followed up prospectively within the framework of an intensified surveillance programme at recommended annual examination intervals. A total of 1120 LS, 594 LLS, and 116 FCCX individuals were analysed. From this total sample, eight different cohorts were defined, in which age-dependent cumulative risks and standardised incidence ratios were calculated regarding the first incident occurrence of any, colorectal, stomach, small bowel, urothelial, female breast, ovarian, and endometrial cancer, separately for LS, LLS, and FCCX.
RESULTS: The number of individuals at risk for first incident cancer ranged from 322 to 1102 in LS, 120 to 586 in LLS, and 40 to 116 in FCCX, depending on the cancer type of interest. For most cancer types, higher risks were observed in LS compared to LLS, FCCX, and the general population. Risks for any, colorectal, stomach, urothelial, and endometrial cancer were significantly higher in LLS compared to the general population. No significantly increased risks could be detected in FCCX compared to LLS patients, and the general population. Colorectal and endometrial cancer risks tended to be higher in LLS than in FCCX.
CONCLUSIONS: The characterisation of cancer risks in patients with LLS and FCCX is important to develop appropriate surveillance programmes for these specific intermediate risk groups. Larger prospective studies are needed to obtain more precise risk estimates.

Entities:  

Keywords:  Cancer risk; Familial colorectal cancer type X; Lynch syndrome; Lynch-like syndrome; Prospective surveillance study

Mesh:

Substances:

Year:  2020        PMID: 32448342      PMCID: PMC7245918          DOI: 10.1186/s12885-020-06926-x

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Lynch syndrome (LS) is an autosomal dominantly inherited disorder, which is caused by pathogenic germline variants in one of the DNA mismatch repair (MMR) genes MLH1, MSH2, MSH6, PMS2 or in the EPCAM gene [1-3]. It is estimated that one of 279 individuals in the general population carries a pathogenic MMR gene variant [4]. LS is the most common hereditary colorectal cancer syndrome and is responsible for about 2 to 4% of all colorectal cancers [5-7]. Individuals with LS are at an increased risk of developing colorectal, endometrial and other types of cancer [8-12]. Early age of onset and familial clustering of cancers are clinical indicators of LS. In order to identify families suspected of having LS, the Amsterdam criteria and Bethesda guidelines were established [13-16]. An essential characteristic of LS is MMR deficiency (dMMR) of the tumours, as shown by reduced or lost immunohistochemical staining and/or microsatellite instability (MSI). A previous study by our group showed that in families meeting the Amsterdam or Bethesda criteria and having microsatellite instability-high colorectal cancer, only 53% carried a pathogenic germline MMR or EPCAM gene variant [17]. It has been suggested to designate individuals from families without a pathogenic germline MMR gene defect despite signs of dMMR as having Lynch-like syndrome (LLS) [18, 19]. In our previous study, it could be shown that in 37% of Amsterdam-II positive families no signs of dMMR could be found [17]. Individuals from Amsterdam-positive families without any signs of dMMR were characterised as a distinct risk group, the so-called “familial colorectal cancer type X” (FCCTX or FCCX) [18, 20]. The different clinical aspects and molecular features of LS, LLS, and FCCX are summarized elsewhere [21]. A comprehensive characterisation of cancer risks is an important prerequisite for developing appropriate cancer surveillance and prevention programmes. To date, many studies have characterised cancer risks in LS, also using prospective data, but fewer studies have characterised cancer risks in LLS and FCCX [7–12, 19–33]. The aim of the present analysis was therefore to estimate and compare the risk for different types of cancers in individuals with LS, LLS, and FCCX based on data from a prospective surveillance study of the German Consortium for Familial Intestinal Cancer. Additionally, we aimed to compare these risk estimations to cancer risks in the general population in Germany.

Methods

Study population

The study population was taken from a prospective registry study of the “German Consortium for Familial Intestinal Cancer” (formerly termed “German HNPCC Consortium”). Six university centres collected information about families suspected of having Lynch syndrome based on the Amsterdam-II criteria and/or revised Bethesda guidelines [15, 16]. All participants gave their written informed consent at registry inclusion, and the registry was approved by the Ethics Committees of all participating institutions. A tissue sample (tumour or adenoma) of the index patient was examined for MMR deficiency (dMMR) using immunohistochemistry (IHC) and/or microsatellite analysis (MSA). In case of dMMR (or if no tissue sample was available), a germline mutation analysis of the MMR genes MLH1, MSH2, MSH6 and PMS2, and the EPCAM gene was carried out. Details about the diagnostic procedure are described elsewhere [17]. According to the results of the tissue and subsequent germline DNA analyses, index patients were classified as having LS (i.e. with a proven class 4/5 germline variant), LLS (i.e. fulfilling the Amsterdam-II and/or revised Bethesda criteria and not having a class 4/5 germline variant despite signs of dMMR in at least one family member), and FCCX (i.e. not having any signs of dMMR in the family while fulfilling the Amsterdam-II criteria). Relatives of LS index patients, who were predictively tested for the specific class 4/5 variant found in the index patient, were also considered as having LS if they were tested positive. Relatives of LLS and FCCX index patients were also considered as having LLS and FCCX, respectively. Individuals from families with dMMR due to MLH1 methylation were not regarded as having LLS. Individuals with LS, LLS, or FCCX according to the above definitions were invited to participate in an intensified surveillance programme comprising annual colonoscopies, esophagogastroduodenoscopies, and gynaecological examinations. These individuals comprised both index patients and at-risk relatives. They were prospectively followed up and the result of each single surveillance examination was recorded in the registry. Individuals were included in the present analysis if they had LS, LLS, or FCCX according to the above definitions. In the LS group, only MLH1, MSH2, and MSH6 carriers were included, whereas EPCAM and PMS2 carriers were excluded due to the low sample size. Additionally, all individuals had to have at least one colonoscopy after study registration and a prospective observation time of more than half a year.

Statistical analysis

From the above study population, eight different cohorts were defined and cancer risks were determined for the following eight types of cancers according to the International Classification of Diseases (ICD-10): any cancer (all Cxx without C77-C79), colorectal (C18-C20), stomach (C16), small bowel (C17), urothelial (C65-C68), female breast (C50), ovarian (C56), and endometrial cancer (C54.1). For each cancer type, its first incident occurrence was analysed. Individuals, who already had the cancer of interest before or within half a year after the start of prospective observation (prevalent cancers) were excluded. Therefore, patient numbers and observation times were different between the eight cohorts. Patients with prevalent cancers other than the cancer type of interest were not excluded. Females who had undergone a hysterectomy prior to the start of the prospective observation were excluded from the endometrial cancer and females with an oophorectomy from the ovarian cancer analyses. Prospective observation started at the first colonoscopy after study registration or at age 25, whichever occurred last. Observation ended at the specific cancer event of interest, the age of 80, the last documented contact before May 12, 2019, or death, whichever came first. For calculations of endometrial cancer, hysterectomy was an additional reason for the end of observation, as well as oophorectomy for ovarian cancer. The incident occurrence of cancers other than the cancer type of interest was no reason for censoring [9, 10]. Cumulative cancer risks were determined for the different cancer types stratified by the three risk groups LS, LLS and FCCX, and by subgrouping the LS group into MLH1, MSH2 and MSH6 carriers. Risk estimation was done using the Kaplan-Meier product limit estimator accounting for the age at the beginning of prospective observation (left-truncation) [34]. For comparisons between groups, the log-rank test was used. The proportional hazards assumption was tested using scaled Schoenfeld residuals [35, 36]. In addition, the log-minus-log-transformed 95% confidence intervals of the product limit estimator were determined [34, 37]. In order to compare cancer risks with the general population, the standardised incidence ratio (SIR) was calculated, which is defined as the ratio between the observed number of cancers of interest and the expected number of cancers of interest in the general population. The number of expected cancers of interest was determined by the sum of all products of the age-specific incidence rates for the general population with the corresponding person-years. The source of age-specific incidence rates in 5-year-intervals for the general population in Germany (2000–2014) was the German Centre for Cancer Registry Data of the Robert Koch-Institute (Berlin, Germany. URL: www.krebsdaten.de/abfrage). As information regarding skin malignancies except malignant melanoma was not available for the general population, individuals with such neoplasms were excluded from the SIR calculation of the cancer type “any cancer”. Ninety-five percent confidence intervals for SIRs were calculated assuming a Poisson distribution. All reported testing was two-sided, and p-values lower than 0.05 were considered statistically significant. Statistical analyses were carried out with R 3.4.2 for Windows (R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL: https://www.R-project.org).

Results

Patient characteristics

The study population comprised a total of 1830 patients, including 594 in the LLS, 116 in the FCCX group, and 1120 in the LS group (447 MLH1, 549 MSH2, and 124 MSH6 carriers). In total, 1200 individuals were index patients. The detailed patient characteristics for the eight different cancer types are summarised in Table 1 (a sex specific summary is shown in Additional file 1: Tables S1 and S2). The number of individuals at risk for first incident cancer ranged from 322 to 1102 in LS, 120 to 586 in LLS, and 40 to 116 in FCCX, depending on the cancer type. The median age at the start of the prospective observation ranged from 35 to 49 years depending on the risk group and cancer of interest. Table S3 in Additional file 1 shows a detailed summary of patient numbers, observation times and numbers of incident cancers. The types of cancers considered for the calculation of the type “any cancer” are given in Additional file 1: Table S4.
Table 1

Patient characteristics

FCCXLLSaLSTotal
MLH1MSH2MSH6
n = 116n = 594n = 447n = 549n = 124n = 1830
[Index patients][79][451][279][324][67][1200]
Individuals at risk, number [index patients]
 Any40 [9]120 [11]116 [6]158 [12]48 [5]482 [43]
 Colorectal42 [10]140 [25]133 [14]206 [36]57 [6]578 [91]
 Stomach115 [78]584 [442]439 [271]539 [316]124 [67]1801 [1174]
 Small bowel116 [79]586 [443]429 [263]536 [315]124 [67]1791 [1167]
 Urothelial116 [79]585 [443]445 [277]524 [304]122 [67]1792 [1170]
 Female breast58 [40]307 [224]214 [115]256 [138]60 [28]895 [545]
 Ovarian56 [38]270 [190]187 [98]202 [105]48 [22]763 [453]
 Endometrial53 [36]254 [186]152 [76]163 [83]45 [19]667 [400]
Age at start of prospective observation, median (interquartile range)
 Any40 (35–50)39 (30–46)35 (29–43)36 (30–43)40 (34–48)38 (30–45)
 Colorectal40 (35–51)41 (31–48)37 (30–45)39 (31–48)42 (36–51)39 (31–48)
 Stomach49 (41–55)44 (38–51)44 (35–54)44 (36–52)44 (37–57)45 (37–53)
 Small bowel49 (41–55)44 (38–52)44 (35–53)44 (36–52)44 (37–57)45 (37–53)
 Urothelial49 (41–55)44 (38–51)44 (35–54)44 (36–52)44 (37–56)44 (37–53)
 Female breast48 (41–55)44 (38–52)44 (35–54)44 (36–54)44 (38–55)44 (37–53)
 Ovarian48 (41–53)44 (38–50)41 (34–52)42 (34–51)40 (37–49)43 (36–51)
 Endometrial49 (41–55)43 (37–49)38 (32–47)40 (33–46)40 (37–47)41 (35–49)
Median follow-up time, person-years
 Any6.86.96.56.46.56.5
 Colorectal7.16.36.57.07.16.8
 Stomach7.16.57.37.86.77.1
 Small bowel7.16.47.27.76.77.0
 Urothelial7.16.47.27.56.76.9
 Female breast7.26.56.78.17.17.1
 Ovarian7.36.36.57.07.36.8
 Endometrial7.25.96.06.07.16.1
Cumulative follow-up time, person-years
 Any30883881911053263395
 Colorectal32996493815094174157
 Stomach85440193300422284313239
 Small bowel85840113212416484313088
 Urothelial85840033314400682913010
 Female breast4202093153919634516467
 Ovarian4171805129213973685278
 Endometrial376158199410193154285
Individuals with incident cancer, number
 Any281327353
 Colorectal06719234
 Stomach0445013
 Small bowel01914024
 Urothelial14919033
 Female breast1336417
 Ovarian000505
 Endometrial05913128

n = 320 with deficient MMR protein expression in MLH1, n = 127 in MSH2, n = 26 in MSH6. IHC was not performed in n = 121 individuals

Patient characteristics n = 320 with deficient MMR protein expression in MLH1, n = 127 in MSH2, n = 26 in MSH6. IHC was not performed in n = 121 individuals

Comparison of cancer risks between LS, LLS, and FCCX

The risk for any cancer by the age of 70 years was 63.7% (95%CI 48.5–78.8%) for LS, 27.3% (95%CI 14.5–47.8%) for LLS, and 25.0% (95%CI 6.6–70.2%) for FCCX patients (Fig. 1 and Table 2). Cumulative cancer risk was higher for the LS group than for LLS or FCCX for any cancer, small bowel, urothelial, female breast, ovarian, and endometrial cancer. The risks in the FCCX group were lower than in the LLS group for all cancer types, except for female breast and ovarian cancer. The risk of any cancer, small bowel, urothelial, and endometrial cancer was statistically significantly higher in the LS group than in the LLS group. No statistically significant differences for “any cancer” were found in the sex-specific analyses, whereas significant differences were also observed in males for small bowel and urothelial cancer, but not in females. No incident colorectal cancer events were observed in the FCCX group. LLS patients showed a lower colorectal cancer risk (21.0%, 95%CI 9.9–41.3%) than LS patients (40.9%, 95%CI 28.3–56.4%) at age 70, but the difference between LS, LLS, and FCCX was not statistically significant (p = 0.102). There were no significant differences between the LLS and FCCX groups (Additional file 1: Figure S7).
Fig. 1

Age-dependent cumulative cancer risks

Table 2

Cumulative cancer risks (%) by age

LS
Cancer typeAge (years)FCCXLLSLSMLH1MSH2MSH6
Any400.0 (−)12.5 (4.2–34.1)12.2 (6.4–22.5)14.0 (5.5–33.1)13.8 (5.7–31.4)0.0 (−)
5010.0 (1.5–52.7)20.5 (9.7–40.4)25.6 (17.5–36.4)24.1 (12.8–42.6)31.6 (19.5–48.5)7.7 (1.1–43.4)
6010.0 (1.5–52.7)27.3 (14.5–47.8)49.0 (37.5–61.9)44.0 (26.6–66.3)60.3 (44.0–77.1)20.9 (5.3–63.3)
7025.0 (6.6–70.2)27.3 (14.5–47.8)63.7 (48.5–78.8)52.0 (31.9–75.3)72.2 (53.2–88.4)36.7 (12.7–78.6)
Colorectal400.0 (−)12.4 (4.2–33.8)8.4 (3.7–18.3)10.0 (3.3–27.9)9.5 (2.9–28.3)0.0 (−)
500.0 (−)17.4 (7.5–37.4)11.8 (6.3–21.5)10.0 (3.3–27.9)16.3 (7.7–32.7)0.0 (−)
600.0 (−)21.0 (9.9–41.3)25.4 (16.8–37.2)23.4 (10.8–46.6)33.7 (21.0–51.1)0.0 (−)
700.0 (−)21.0 (9.9–41.3)40.9 (28.3–56.4)30.4 (14.8–55.8)49.1 (32.9–68.1)14.3 (2.1–66.6)
Stomach400.0 (−)0.0 (−)0.0 (−)0.0 (−)0.0 (−)0.0 (−)
500.0 (−)0.0 (−)0.0 (−)0.0 (−)0.0 (−)0.0 (−)
600.0 (−)2.4 (0.6–9.9)1.7 (0.6–4.6)0.9 (0.1–6.4)2.4 (0.8–7.4)0.0 (−)
700.0 (−)4.6 (1.4–14.5)2.9 (1.3–6.5)2.5 (0.6–9.9)3.6 (1.3–9.5)0.0 (−)
Small bowel400.0 (−)0.0 (−)0.6 (0.1–4.1)1.4 (0.2–9.8)0.0 (−)0.0 (−)
500.0 (−)0.6 (0.1–4.4)1.8 (0.7–4.8)1.4 (0.2–9.8)2.5 (0.8–7.7)0.0 (−)
600.0 (−)0.6 (0.1–4.4)5.9 (3.5–10.1)5.0 (1.9–12.8)7.6 (4.0–14.2)0.0 (−)
700.0 (−)0.6 (0.1–4.4)11.7 (7.6–17.6)11.5 (5.8–22.0)13.9 (8.0–23.4)0.0 (−)
Urothelial400.0 (−)0.0 (−)0.0 (−)0.0 (−)0.0 (−)0.0 (−)
500.0 (−)0.0 (−)2.7 (1.3–5.6)0.9 (0.1–6.1)4.7 (2.1–10.3)0.0 (−)
600.0 (−)1.5 (0.4–5.9)6.5 (4.0–10.4)5.7 (2.4–13.3)8.4 (4.7–14.7)0.0 (−)
700.0 (−)5.7 (2.0–16.0)12.5 (8.3–18.5)11.3 (5.6–22.0)16.3 (9.9–26.2)0.0 (−)
Female breast400.0 (−)0.0 (−)0.0 (−)0.0 (−)0.0 (−)0.0 (−)
500.0 (−)2.9 (0.7–11.4)3.4 (1.3–8.7)2.0 (0.3–13.6)1.6 (0.2–10.6)12.0 (3.1–40.6)
605.9 (0.9–35.0)2.9 (0.7–11.4)7.9 (4.2–14.7)7.3 (2.4–21.2)6.8 (2.6–17.1)12.0 (3.1–40.6)
705.9 (0.9–35.0)2.9 (0.7–11.4)11.9 (6.8–20.3)7.3 (2.4–21.2)12.2 (5.5–25.8)20.8 (7.0–53.0)
Ovarian400.0 (−)0.0 (−)1.0 (0.1–7.1)0.0 (−)2.4 (0.3–16.1)0.0 (−)
500.0 (−)0.0 (−)2.9 (0.9–8.7)0.0 (−)6.8 (2.2–19.6)0.0 (−)
600.0 (−)0.0 (−)4.9 (1.7–13.3)0.0 (−)10.7 (4.0–26.9)0.0 (−)
700.0 (−)0.0 (−)6.4 (2.6–15.5)0.0 (−)14.0 (5.9–31.2)0.0 (−)
Endometrial400.0 (−)0.0 (−)1.4 (0.2–9.3)0.0 (−)3.1 (0.4–20.2)0.0 (−)
500.0 (−)4.3 (1.4–12.8)15.3 (9.1–25.0)14.5 (6.8–29.6)16.8 (7.9–33.8)10.0 (1.5–52.7)
600.0 (−)7.7 (3.2–17.6)28.8 (19.1–41.9)19.2 (9.2–37.5)40.1 (24.5–60.7)10.0 (1.5–52.7)
700.0 (−)7.7 (3.2–17.6)36.1 (23.4–52.7)35.4 (13.8–72.2)44.1 (27.8–64.5)10.0 (1.5–52.7)

Numbers in brackets are 95% confidence intervals

Age-dependent cumulative cancer risks Cumulative cancer risks (%) by age Numbers in brackets are 95% confidence intervals Within the LS group, higher cancer risks were found for MLH1 and MSH2 carriers than for MSH6 carriers for any cancer, colorectal, stomach, small bowel, urothelial, and endometrial cancer (Fig. 2 and Table 2, Additional file 1: Figure S8). The risk of ovarian cancer was highest in MSH2 carriers (Additional file 1: Tables S5 and S6) with statistically significant differences between the three genes (p = 0.041). For urothelial cancer, risk differences were borderline non-significant (p = 0.055).
Fig. 2

Age-dependent cumulative cancer risks of LS patients by gene

Age-dependent cumulative cancer risks of LS patients by gene The LLS group comprised 320 individuals from families with MMR deficiency in the MLH1 protein, 127 in MSH2, and 26 in MSH6. The remaining 121 patients could not be assigned to a specific MMR protein, because only MSA but not IHC had been performed. There were no statistically significant differences in cancer risks between MLH1, MSH2 and MSH6 in the LLS group except for urothelial cancer in women (p = 0.003). Women from LLS families with MSH2 MMR deficiency had a higher risk for urothelial cancer compared to women from families with MMR deficiency in MLH1 and MSH6. Moreover, we found significant differences in cancer risks between index patients and the at-risk relatives for colorectal and endometrial cancer in the LLS group. Index patients had a higher risk (p = 0.027) of colorectal cancer at age 70 (50.0%, 95%CI 19.6–88.9%) compared to their relatives (13.2%, 95%CI 4.4–35.9%), but a lower risk (p = 0.010) of endometrial cancer (4.0%, 95%CI 1.0–15.3% vs. 23.1%, 95%CI 8.1–55.8%).

Comparison with general population risks

Compared to the general population, cancer risks in the LS group were higher for all cancer types. These results were statistically significant for all cancer types regardless of sex, with the exception of female breast cancer (Fig. 3, Additional file 1: Figures S9 and S10). Standardised incidence ratios (SIRs) ranged from 5.3 for “any cancer” to 126.0 for small bowel cancer. Increased SIRs in MLH1 and MSH2 carriers were found in male LS patients for all types of cancer. These results were also statistically significant, except for stomach cancer where only MLH1 carriers had a significantly increased risk. The SIR of colorectal cancer was also elevated in male MSH6 carriers, although not showing statistical significance. Female MLH1 and MSH2 carriers had elevated SIRs for any cancer, colorectal, stomach, small bowel, urothelial, and endometrial cancer, which were all statistically significant, with the exception of stomach cancer in MLH1 carriers. In addition, female MSH2 carriers showed a significantly increased risk of ovarian cancer. The SIRs for female breast cancer were only slightly marginally elevated for MLH1 and MSH2 carriers compared to the general population, while the SIR for MSH6 carriers was statistically significantly higher.
Fig. 3

Comparison with general population risks: standardised incidence ratios (SIRs) with 95% confidence intervals

Comparison with general population risks: standardised incidence ratios (SIRs) with 95% confidence intervals Larger SIRs were observed in the LLS group for any cancer, colorectal, stomach, small bowel, urothelial, and endometrial cancer, which were statistically significant except for small bowel cancer. Regarding sex, significantly increased SIRs in the LLS group were detected in females for endometrial and urothelial cancer, as well as in males for colorectal and stomach cancer. Cancer risks were not statistically significantly increased in the FCCX group compared to the general population.

Discussion

In this prospective study, we investigated different organ-specific cancer risks in Lynch syndrome, Lynch-like syndrome, and familial colorectal cancer type X. To the best of our knowledge, this is the first report comparing cumulative cancer incidences in these three risk groups based on prospective follow-up data. We found higher cancer risks for LS than for LLS and FCCX patients. Some cancer risks, such as colorectal and endometrial cancer, tended to be higher in LLS than in the FCCX group, but this did not reach statistical significance. A large number of retro- and prospective studies have investigated cancer risks in LS patients [7–12, 19, 22–33]. The largest prospective studies to date, based on internationally pooled data gathered in the Prospective Lynch Syndrome Database (PLSD), provided risk estimates for various cancer types in LS patients stratified by age, gene, and sex [9-12]. The cumulative risks in LS patients found in our study are in agreement with those PLSD studies, which did not include the data of our present study [9-11]. We found statistically significant risk differences between MLH1, MSH2, and MSH6 carriers only for ovarian cancer, where MSH2 carriers had the highest risk. This agrees with the results from the PLSD and other studies showing that MSH2 carriers have higher ovarian cancer risks than MLH1 or MSH6 carriers [25, 26]. Compared to the general population, we found a statistically significantly increased risk of female breast cancer (SIR = 4.4, 95%CI 1.2–11.2) only in MSH6 carriers. This is in agreement with results from a retrospective study of Roberts et al. [38], but in disagreement with others studies, which have reported either no increased risks for LS patients or elevated risks in MLH1 carriers [28, 29]. Compared to LS, considerably fewer studies have investigated cancer risks in LLS and FCCX. Rodriguez-Soler and colleagues performed a population-based study with 1705 consecutively included colorectal cancer patients comparing cancer risks between LS, LLS, and sporadic cancer [19]. They found that the risk of cancer in LLS is lower compared to LS, but higher compared to sporadic cancer. In our study, we found significantly lower cancer risks in LLS compared to LS for any cancer, small bowel, urothelial, and endometrial cancer. However, compared to the general population, the risks of any cancer, colorectal, stomach, urothelial, and endometrial cancer were significantly elevated for LLS as well as for LS. This is of particular interest, as LLS patients may need specific surveillance programmes. It has been suggested that individuals with a history of cancer, as well as their first-degree relatives should undergo colonoscopic screening every 3 years [39]. Regular esophagogastroduodenoscopy might also add value, as our study showed an increased risk of stomach and small bowel cancer. However, it should be noted that the LLS group is heterogeneous as it may contains both individuals with sporadic tumours with somatic MMR variants and individuals with MMR germline variants, which were not detected. We did not find any significant differences in cancer risks between MLH1, MSH2 and MSH6 in the LLS group with the exception of urothelial cancer in women, where women from families with a MMR deficiency in the MSH2 protein showed a higher risk. There were also no significant differences of cancer risks between index patients and the at-risk relatives in the LLS group, except for colon cancer and endometrial cancer, where index patients had a higher risk of colon cancer but a lower risk of endometrial cancer compared to the at-risk relatives. These results need to be validated in larger, ideally international collaborative studies, before specific screening recommendations can be made for this risk group. Lindor et al. compared the incidence of different cancer types in individuals from Amsterdam-‍I families with and without dMMR [20]. They concluded that individuals without dMMR in their family have a lower incidence of cancer than those with dMMR. Choi et al. compared the risks of first and metachronous colorectal cancers in LS with those of members of FCCX families and found higher risks in individuals with LS compared to FCCX family members [23]. We observed lower cancer risks for FCCX compared to LS and LLS groups, although these were not statistically significant. In addition, we found no significantly higher risks for individuals of the FCCX group compared with the general population. This raises the question of whether FCCX patients require a different surveillance programme compared to LS and LLS patients, and whether screening similar to the general population would be sufficient for this group. Analyses with a larger number of FCCX individuals would be helpful in order to investigate this further. A major strength of the present study was its prospective design, which mitigates the problem of overestimation of cancer risks due to ascertainment bias in clinic-based retrospective studies [40]. However, some limitations also need to be noted. One was the comparably low sample size and observation time in the FCCX group, resulting in large confidence intervals of the risk estimates. Secondly, observation times above the age of 60 years were comparably low. Thirdly, since all of these patients were under intensified colonoscopic surveillance, with possible colorectal cancer prevention (to an unknown extent) due to adenoma removal, the colorectal cancer risk estimates obtained in our study do not reflect the natural course of disease. Fourthly, there could be some underestimation of SIRs for endometrial cancer since general population incidences were only available for the ICD-10 group C54 and not specifically for C54.1.

Conclusions

This prospective study provides data on cancer risk estimation in patients with LS and particularly with LLS and FCCX, which is important to develop appropriate surveillance programmes for these specific intermediate risk groups. However, before specific surveillance recommendations can be given, larger prospective studies are needed to obtain more precise risk estimates. We propose international databases for LLS and FCCX, similar to the Prospective Lynch Syndrome Database (PLSD), be set up. Additional file 1 Table S1. Characteristics of female patients. Table S2. Characteristics of male patients. Table S3. Number of patients, observation times (person-years) and number of incident cancers. Table S4. Types of incident cancers considered as “any cancer”. Table S5. Cumulative cancer risks (%) by age for female patients. Table S6. Cumulative cancer risks (%) by age for male patients. Figure S7. Age-dependent cumulative cancer risks by risk group and sex. Figure S8. Age-dependent cumulative cancer risks of LS patients by gene and sex. Figure S9. Comparison with general population risks: standardised incidence ratios (SIRs) with 95% confidence interval for female patients. Figure S10. Comparison with general population risks: standardised incidence ratios (SIRs) with 95% confidence interval for male patients.
  36 in total

1.  Hereditary nonpolyposis colorectal cancer in 95 families: differences and similarities between mutation-positive and mutation-negative kindreds.

Authors:  R J Scott; M McPhillips; C J Meldrum; P E Fitzgerald; K Adams; A D Spigelman; D du Sart; K Tucker; J Kirk
Journal:  Am J Hum Genet       Date:  2000-12-07       Impact factor: 11.025

Review 2.  Hereditary colorectal cancer.

Authors:  Henry T Lynch; Albert de la Chapelle
Journal:  N Engl J Med       Date:  2003-03-06       Impact factor: 91.245

3.  The International Collaborative Group on Hereditary Non-Polyposis Colorectal Cancer (ICG-HNPCC).

Authors:  H F Vasen; J P Mecklin; P M Khan; H T Lynch
Journal:  Dis Colon Rectum       Date:  1991-05       Impact factor: 4.585

4.  Lower cancer incidence in Amsterdam-I criteria families without mismatch repair deficiency: familial colorectal cancer type X.

Authors:  Noralane M Lindor; Kari Rabe; Gloria M Petersen; Robert Haile; Graham Casey; John Baron; Steve Gallinger; Bharati Bapat; Melyssa Aronson; John Hopper; Jeremy Jass; Loic LeMarchand; John Grove; John Potter; Polly Newcomb; Jonathan P Terdiman; Peggy Conrad; Gabriella Moslein; Richard Goldberg; Argyrios Ziogas; Hoda Anton-Culver; Mariza de Andrade; Kim Siegmund; Stephen N Thibodeau; Lisa A Boardman; Daniela Seminara
Journal:  JAMA       Date:  2005-04-27       Impact factor: 56.272

Review 5.  Milestones of Lynch syndrome: 1895-2015.

Authors:  Henry T Lynch; Carrie L Snyder; Trudy G Shaw; Christopher D Heinen; Megan P Hitchins
Journal:  Nat Rev Cancer       Date:  2015-02-12       Impact factor: 60.716

6.  Risks of less common cancers in proven mutation carriers with lynch syndrome.

Authors:  Christoph Engel; Markus Loeffler; Verena Steinke; Nils Rahner; Elke Holinski-Feder; Wolfgang Dietmaier; Hans K Schackert; Heike Goergens; Magnus von Knebel Doeberitz; Timm O Goecke; Wolff Schmiegel; Reinhard Buettner; Gabriela Moeslein; Tom G W Letteboer; Encarna Gómez García; Frederik J Hes; Nicoline Hoogerbrugge; Fred H Menko; Theo A M van Os; Rolf H Sijmons; Anja Wagner; Irma Kluijt; Peter Propping; Hans F A Vasen
Journal:  J Clin Oncol       Date:  2012-10-22       Impact factor: 44.544

7.  Efficacy of annual colonoscopic surveillance in individuals with hereditary nonpolyposis colorectal cancer.

Authors:  Christoph Engel; Nils Rahner; Karsten Schulmann; Elke Holinski-Feder; Timm O Goecke; Hans K Schackert; Matthias Kloor; Verena Steinke; Holger Vogelsang; Gabriela Möslein; Heike Görgens; Stefan Dechant; Magnus von Knebel Doeberitz; Josef Rüschoff; Nicolaus Friedrichs; Reinhard Büttner; Markus Loeffler; Peter Propping; Wolff Schmiegel
Journal:  Clin Gastroenterol Hepatol       Date:  2009-10-14       Impact factor: 11.382

8.  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

9.  Towards gene- and gender-based risk estimates in Lynch syndrome; age-specific incidences for 13 extra-colorectal cancer types.

Authors:  Christina Therkildsen; Steen Ladelund; Lars Smith-Hansen; Lars Joachim Lindberg; Mef Nilbert
Journal:  Br J Cancer       Date:  2017-10-24       Impact factor: 7.640

10.  Cancer risks by gene, age, and gender in 6350 carriers of pathogenic mismatch repair variants: findings from the Prospective Lynch Syndrome Database.

Authors:  Mev Dominguez-Valentin; Julian R Sampson; Toni T Seppälä; Sanne W Ten Broeke; John-Paul Plazzer; Sigve Nakken; Christoph Engel; Stefan Aretz; Mark A Jenkins; Lone Sunde; Inge Bernstein; Gabriel Capella; Francesc Balaguer; Huw Thomas; D Gareth Evans; John Burn; Marc Greenblatt; Eivind Hovig; Wouter H de Vos Tot Nederveen Cappel; Rolf H Sijmons; Lucio Bertario; Maria Grazia Tibiletti; Giulia Martina Cavestro; Annika Lindblom; Adriana Della Valle; Francisco Lopez-Köstner; Nathan Gluck; Lior H Katz; Karl Heinimann; Carlos A Vaccaro; Reinhard Büttner; Heike Görgens; Elke Holinski-Feder; Monika Morak; Stefanie Holzapfel; Robert Hüneburg; Magnus von Knebel Doeberitz; Markus Loeffler; Nils Rahner; Hans K Schackert; Verena Steinke-Lange; Wolff Schmiegel; Deepak Vangala; Kirsi Pylvänäinen; Laura Renkonen-Sinisalo; John L Hopper; Aung Ko Win; Robert W Haile; Noralane M Lindor; Steven Gallinger; Loïc Le Marchand; Polly A Newcomb; Jane C Figueiredo; Stephen N Thibodeau; Karin Wadt; Christina Therkildsen; Henrik Okkels; Zohreh Ketabi; Leticia Moreira; Ariadna Sánchez; Miquel Serra-Burriel; Marta Pineda; Matilde Navarro; Ignacio Blanco; Kate Green; Fiona Lalloo; Emma J Crosbie; James Hill; Oliver G Denton; Ian M Frayling; Einar Andreas Rødland; Hans Vasen; Miriam Mints; Florencia Neffa; Patricia Esperon; Karin Alvarez; Revital Kariv; Guy Rosner; Tamara Alejandra Pinero; María Laura Gonzalez; Pablo Kalfayan; Douglas Tjandra; Ingrid M Winship; Finlay Macrae; Gabriela Möslein; Jukka-Pekka Mecklin; Maartje Nielsen; Pål Møller
Journal:  Genet Med       Date:  2019-07-24       Impact factor: 8.822

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  12 in total

Review 1.  The spectrum of sex differences in cancer.

Authors:  Joshua B Rubin
Journal:  Trends Cancer       Date:  2022-02-18

2.  Heterogeneity in the psychosocial and behavioral responses associated with a diagnosis of suspected Lynch syndrome in women with endometrial cancer.

Authors:  Sowmya Jonnagadla; Sharelle L Joseland; Sibel Saya; Nicole den Elzen; Joanne Isbister; Ingrid M Winship; Daniel D Buchanan
Journal:  Hered Cancer Clin Pract       Date:  2022-07-15       Impact factor: 2.164

3.  Risk of cancer in individuals with Lynch-like syndrome and their families: a systematic review.

Authors:  Pandu P Nugroho; Siti Alyaa S Ghozali; Daniel D Buchanan; Mia I Pisano; Jeanette C Reece
Journal:  J Cancer Res Clin Oncol       Date:  2022-10-17       Impact factor: 4.322

Review 4.  Sexual Differentiation Specifies Cellular Responses to DNA Damage.

Authors:  Lauren Broestl; Joshua B Rubin
Journal:  Endocrinology       Date:  2021-11-01       Impact factor: 5.051

Review 5.  How Should We Test for Lynch Syndrome? A Review of Current Guidelines and Future Strategies.

Authors:  Richard Gallon; Peter Gawthorpe; Rachel L Phelps; Christine Hayes; Gillian M Borthwick; Mauro Santibanez-Koref; Michael S Jackson; John Burn
Journal:  Cancers (Basel)       Date:  2021-01-22       Impact factor: 6.639

Review 6.  Diagnosis of Lynch Syndrome and Strategies to Distinguish Lynch-Related Tumors from Sporadic MSI/dMMR Tumors.

Authors:  Julie Leclerc; Catherine Vermaut; Marie-Pierre Buisine
Journal:  Cancers (Basel)       Date:  2021-01-26       Impact factor: 6.639

Review 7.  Challenges of Neoantigen Targeting in Lynch Syndrome and Constitutional Mismatch Repair Deficiency Syndrome.

Authors:  Asima Abidi; Mark A J Gorris; Evan Brennan; Marjolijn C J Jongmans; Dilys D Weijers; Roland P Kuiper; Richarda M de Voer; Nicoline Hoogerbrugge; Gerty Schreibelt; I Jolanda M de Vries
Journal:  Cancers (Basel)       Date:  2021-05-13       Impact factor: 6.639

Review 8.  [BRAF-V600E testing in metastatic colorectal cancer and new, chemotherapy-free therapy options. German version].

Authors:  Michael Hummel; Susanna Hegewisch-Becker; Jens Neumann; Arndt Vogel
Journal:  Pathologe       Date:  2021-05-06       Impact factor: 1.011

9.  Spectrum of DNA mismatch repair failures viewed through the lens of cancer genomics and implications for therapy.

Authors:  David Mas-Ponte; Marcel McCullough; Fran Supek
Journal:  Clin Sci (Lond)       Date:  2022-03-18       Impact factor: 6.124

Review 10.  BRAF testing in metastatic colorectal carcinoma and novel, chemotherapy-free therapeutic options.

Authors:  Michael Hummel; Susanna Hegewisch-Becker; Jens H L Neumann; Arndt Vogel
Journal:  Pathologe       Date:  2021-07-14       Impact factor: 1.011

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