Literature DB >> 34203177

No Difference in Penetrance between Truncating and Missense/Aberrant Splicing Pathogenic Variants in MLH1 and MSH2: A Prospective Lynch Syndrome Database Study.

Mev Dominguez-Valentin1,2,3, John-Paul Plazzer3,4, Julian R Sampson2,5, Christoph Engel2,6, Stefan Aretz7, Mark A Jenkins8, Lone Sunde9,10, Inge Bernstein11,12, Gabriel Capella2,3,13, Francesc Balaguer14, Finlay Macrae3,4, Ingrid M Winship15,16, Huw Thomas17, Dafydd Gareth Evans18, John Burn2,3,19, Marc Greenblatt20, Wouter H de Vos Tot Nederveen Cappel21, Rolf H Sijmons2,3,22, Maartje Nielsen23, Lucio Bertario24, Bernardo Bonanni25, Maria Grazia Tibiletti26, Giulia Martina Cavestro27, Annika Lindblom28, Adriana Della Valle29, Francisco Lopez-Kostner30, Karin Alvarez30, Nathan Gluck31, Lior Katz32, Karl Heinimann33, Carlos A Vaccaro34,35, Sigve Nakken1,36, Eivind Hovig1,37, Kate Green18, Fiona Lalloo18, James Hill38, Hans F A Vasen39, Claudia Perne7, Reinhard Büttner40, Heike Görgens41, Elke Holinski-Feder3,42,43, Monika Morak42,43, Stefanie Holzapfel7, Robert Hüneburg44, Magnus von Knebel Doeberitz45,46, Markus Loeffler6, Nils Rahner47, Jürgen Weitz41, Verena Steinke-Lange42,43, Wolff Schmiegel48, Deepak Vangala48, Emma J Crosbie49, Marta Pineda13, Matilde Navarro13, Joan Brunet13, Leticia Moreira14, Ariadna Sánchez14, Miquel Serra-Burriel50, Miriam Mints51, Revital Kariv31, Guy Rosner31, Tamara Alejandra Piñero34,35, Walter Hernán Pavicic34,35, Pablo Kalfayan34, Sanne W Ten Broeke23, Jukka-Pekka Mecklin2,3,52, Kirsi Pylvänäinen53, Laura Renkonen-Sinisalo54,55, Anna Lepistö54,55, Päivi Peltomäki56, John L Hopper8, Aung Ko Win8, Daniel D Buchanan57,58,59, Noralane M Lindor60, Steven Gallinger61, Loïc Le Marchand62, Polly A Newcomb63, Jane C Figueiredo64, Stephen N Thibodeau65, Christina Therkildsen66, Thomas V O Hansen67, Lars Lindberg68, Einar Andreas Rødland1, Florencia Neffa29, Patricia Esperon29, Douglas Tjandra4,16, Gabriela Möslein2,3,69, Toni T Seppälä2,3,55,70, Pål Møller1,2,3.   

Abstract

BACKGROUND: Lynch syndrome is the most common genetic predisposition for hereditary cancer. Carriers of pathogenic changes in mismatch repair (MMR) genes have an increased risk of developing colorectal (CRC), endometrial, ovarian, urinary tract, prostate, and other cancers, depending on which gene is malfunctioning. In Lynch syndrome, differences in cancer incidence (penetrance) according to the gene involved have led to the stratification of cancer surveillance. By contrast, any differences in penetrance determined by the type of pathogenic variant remain unknown.
OBJECTIVE: To determine cumulative incidences of cancer in carriers of truncating and missense or aberrant splicing pathogenic variants of the MLH1 and MSH2 genes.
METHODS: Carriers of pathogenic variants of MLH1 (path_MLH1) and MSH2 (path_MSH2) genes filed in the Prospective Lynch Syndrome Database (PLSD) were categorized as truncating or missense/aberrant splicing according to the InSiGHT criteria for pathogenicity.
RESULTS: Among 5199 carriers, 1045 had missense or aberrant splicing variants, and 3930 had truncating variants. Prospective observation years for the two groups were 8205 and 34,141 years, respectively, after which there were no significant differences in incidences for cancer overall or for colorectal cancer or endometrial cancers separately.
CONCLUSION: Truncating and missense or aberrant splicing pathogenic variants were associated with similar average cumulative incidences of cancer in carriers of path MLH1 and path_MSH2.

Entities:  

Keywords:  Lynch syndrome; MLH1; MSH2; aberrant splicing; cancer incidence; missense; penetrance; truncating

Year:  2021        PMID: 34203177      PMCID: PMC8269121          DOI: 10.3390/jcm10132856

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


1. Introduction

Lynch syndrome (LS) is a common, dominantly inherited cancer syndrome caused by pathogenic variants of mismatch repair genes (path_MMR) [1,2,3,4] and affects an estimated 1 in 300 individuals. Path_MMR carriers have increased incidences of cancers of the colon, rectum (often grouped as colorectal cancer, CRC), endometrium, ovaries, stomach, small bowel, bile duct, pancreas, and upper urinary tract [1,4,5,6]. The cancers may occur much earlier in life than their sporadic counterparts, and penetrance and expression vary by gene and by gender from very high to not measurable [7]. Factors considered likely to contribute to both incomplete penetrance and variation in cancer incidence in different organs include environmental factors, modifying genetic factors, and the nature of the pathogenic variants themselves. Genetic association studies have examined the relationship between variants elsewhere in the genome and cancer incidence in LS individuals and have suggested that SNPs at 8q23.3 (rs16892766) and 11q23.1 (rs3802842) are associated with increased LS CRC risk, especially for female MLH1 carriers [8,9]. By contrast, a recent study did not find any risk-modifying effects of these SNPs in a cohort of 507 PMS2 carriers [10]. Additional factors implicated in phenotypic variability in LS include epigenetic regulators, microRNAs, hormonal factors, acetyl-salicylic acid prophylaxis, smoking, and body mass index. In the current study, which addresses the question of whether penetrance varies according to the type of path_MMR variant, such modifying factors are not expected be stratified by the type of path_MMR variant. According to the InSiGHT database (https://www.insight-group.org/variants/databases/, accessed on 12 February 2021), more than 3000 different pathogenic or likely pathogenic (class 5 or 4 and, therefore, clinically actionable) germline sequence variants have been deposited for the MMR genes, of which 40% have been identified in MLH1, 34% in MSH2, 18% in MSH6, and 8% in PMS2 [11,12]. Approximately 50% of those in MLH1 are missense variants [13,14,15,16], whereas most affecting MSH2 are nonsense, frameshift, or splice site changes, which can be considered a priori to be pathogenic [13,14,15,16]. Pathogenic variants that result in aberrant splicing may be associated with lower penetrance compared to truncating variants of the same gene [17]. Recent studies have shown that some exonic missense variants (and some synonymous variants) cause disease through interference with the splicing machinery, adding complexity to the classification of variants [18,19,20]. The potential for clinically relevant associations with different types of germline variants in LS was illustrated by a recent study that reported a significantly better prognosis for CRC in LS patients who had missense or splice site path_MMR variants compared to those with frameshift or nonsense variants or large genomic rearrangements (overall survival 132.5 vs. 82.5 months) [21]. In contrast, one retrospective study suggested an increased risk for endometrial cancer in carriers of missense path_MLH1 variants, but this was not seen in other cancers [6]. We here report prospectively observed, cumulative incidences of cancer in path_MLH1 and path_MSH2 carriers with truncating versus predicted missense and non-canonical aberrant splicing pathogenic variants to explore the hypothesis that carriers of truncating variants have higher cancer incidence.

2. Methods

2.1. The Prospective Lynch Syndrome Database (PLSD) Design

We analysed carriers of path_MLH1 and path_MSH2 variants from the PLSD. The PLSD design and its inclusion criteria have been described previously in detail [1,2,3,4,7]. In brief, the PLSD is an international prospective observational study including centres from 18 countries worldwide. Data were collected from the first prospectively planned and completed colonoscopy onwards, and all recruits had subsequent follow-up of one year or more. A detailed discussion of methods is given in Moller et al. and Seppälä et al. [7,22]. Time to first cancer after inclusion was calculated for each organ or group of organs. When calculating the time to any cancer (penetrance), only patients without any cancer prior to or at inclusion were counted. For each calculation, each patient was censored at the first event or last observation, whichever came first. The number of observation years and cancers in the 5-year groups were counted from 25 to 75 years and the corresponding annual cancer incidence rates by age group were calculated.

2.2. MMR Gene Variant Categorization

Path_MLH1 and path_MSH2 variants that were classified as clinically actionable (class 4 and 5) in the InSIGHT database [23] were grouped as: (1) truncating (including frameshift, nonsense, deletion of exon(s), and canonical splicing); (2) missense/aberrant splicing (aberrant splicing determined by splicing assay of intronic variants outside the canonical +/− 2(3) positions or exonic variants), and (3) others (including in-frame deletions or duplications, duplications of whole exons, initiation codon variants, intronic variants, and variants not compliant with any of the categories described). The groups of truncating and missense/aberrant splicing variants were used for calculations. As previously reported [1], the number of carriers with path_MSH6 or path_PMS2 variants were limited and considered insufficient for the analyses presented in this report.

2.3. Cancer Risk by Gene and Type of Genetic Variant

The cumulative incidence (Q) and the annual incidence rates (AIRs) by age were calculated as previously described [1]. In brief, Q was computed starting at age 25, assuming zero incidence rate before age 25, using the formula Q (age) = Q (age − 1) + (1 − Q (age − 1)) × AIR (age), where AIR (age) is the annual incidence rate as estimated from the corresponding 5-year interval. Confidence intervals were calculated as previously described [1].

2.4. Ethics Statement

All reporting centers exported de-identified data to the PLSD, and the patients had been followed up prospectively according to local clinical guidelines, as previously described [1,2,3,4,24,25].

3. Results

3.1. Characterization of Path_MLH1 and Path_MSH2 Genetic Variants

Numbers of carriers and follow-up times by gene, variant type—missense/aberrant splicing or truncating or other—are detailed in Table 1. In sum, 1045 carriers with missense/aberrant splicing variants were followed for an average of 7.9 years (95% CI (7.6–8.2)), 3930 carriers with truncating variants were followed for an average of 8.7 years (95% CI (8.5–8.9)), and 224 carriers had other types of variants (Table 1). Because carriers of path_MLH1 and path_MSH2 have different incidences of cancers [1], the incidences in this report were calculated for each gene separately.
Table 1

Categorization of the path_MLH1 and path_MSH2 carriers having inherited variants causing truncating or missense/aberrant splicing clinically actionable variants as defined in the InSiGHT database.

Categorization GroupVariant TypeGeneNumber of CarriersSum of the FUP YearsMean of the FUP Years95% CI
Missense or aberrant splicingAberrant Splicing MLH1 23318297.8(7.1–8.5)
Aberrant Splicing MSH2 35027787.9(7.4–8.4)
Missense MLH1 34527157.9(7.4–8.4)
Missense MSH2 1178837.5(6.7–8.3)
Total 104582057.9(7.6–8.2)
TruncatingCanonical Splicing MLH1 50147099.4(8.9–9.9)
Canonical Splicing MSH2 18516358.8(8.0–9.6)
Exon Deletion MLH1 688764311.1(10.6–11.6)
Exon Deletion MSH2 57942077.3(6.9–7.7)
Nonsense MLH1 32428808.9(8.3–9.5)
Nonsense MSH2 60849298.1(7.7–8.5)
Frameshift MLH1 48237227.7(7.3–8.1)
Frameshift MSH2 56344167.8(7.4–8.2)
Total 393034,1418.7(8.5–8.9)
OthersExon Duplication MLH1 111(1.0–1.0)
Exon Duplication MSH2 16714.4(2.7–6.1)
Inframe Indel MLH1 857909.3(8.3–10.3)
Inframe Indel MSH2 938118.7(7.7–9.7)
Initiation Codon MLH1 8364.5(1.5–7.5)
Intronic MSH2 3258.3(2.1–14.5)
Undefined MLH1 1824913.8(10.7–16.9)
Total 2241983

FUP, follow-up years.

For the MLH1 gene, missense variants were more frequent (60.7%, 345/578) than aberrant splicing variants (40.3%, 233/578), while for the MSH2 gene, aberrant splicing variants were more common than missense variants (75%, 350/467 vs. 26%, 117/467) (p > 0.05). Truncating variants affected both genes in an equal proportion (50% each). Within the set of truncating variants (n = 3930), the most common types with respect to variant consequence were exon or multi-exon deletions (32%, 1267/3930), followed by frameshift (27%, 1045/3930) and nonsense (24%, 932/3930). By the type of truncating variant and gene, exon or multi-exon deletions were the more frequent variant in MLH1 (34.5%, 688/1995), followed by canonical splicing variants (25.1%, 501/1995), frameshift (24.1%, 482/1995), and nonsense variants (16.2%, 324/1995), while for the MSH2 gene, nonsense variants were the most frequent (31.4%, 608/1935) (p > 0.05) (Table 1).

3.2. Cumulative Cancer Incidence by Gene and Type of Genetic Variant

The cumulative incidences by gene for any cancer, CRC, and endometrial cancer are detailed in Table 2 and illustrated in Figure 1. There were no significant differences between carriers with missense/aberrant splicing versus truncating variants at any age in any group. Moreover, no differences which could be considered non-significant trends were observed (p > 0.05 for all comparisons).
Table 2

Cumulative cancer incidences stratified by age, gene, variant, and organ.

Cumulative Incidences (95% CI)
AgeMLH1 Missense/Aberrant SplicingMLH1 TruncatingMSH2 Missense/Aberrant SplicingMSH2 Truncating
Any cancer300 (0–0)2.5 (0.3–4.7)3.1 (0–9.1)2.2 (0–4.6)
4017.9 (9.3–26.5)17.3 (13.1–21.6)13.8 (4.1–23.5)13.6 (8.9–18.2)
5036.5 (26.6–46.5)39.5 (34.5–44.5)36.0 (23.9–48.0)35.2 (29.3–41.1)
6056.6 (44.6–68.4)58.6 (53.4–63.9)61.6 (49.5–73.6)57.8 (51.4–64.1)
7076.4 (63.6–89.2)71.0 (65.1–76.7)87.1 (75.6–98.6)71.6 (64.4–78.8)
7583.5 (71.4–95.6)75.4 (69.1–81.8)87.1 (75.6–98.6)80.3 (73.3–87.4)
Colorectal cancer300 (0–0)2.5 (0.3–4.6)0 (0–0)2.1 (0–4.4)
4014.5 (6.5–22.6)14.6 (10.6–18.6)7.0 (0.3–13.6)8.3 (4.5–12.1)
5023.8 (14.6–33.0)28.0 (23.3–32.7)15.1 (6.4–23.8)18.1 (13.3–22.9)
6038.4 (26.5–50.4)38.9 (33.7–44.0)30.6 (19.7–41.5)28.9 (23.3–34.5)
7053.7 (39.0–68.3)47.0 (41.2–52.8)49.9 (36.4–63.4)41.1 (34.2–48.0)
7561.6 (45.9–77.4)50.3 (43.8–56.8)49.9 (36.4–63.4)47.3 (39.6–55.1)
Endometrial cancer300 (0–0)0 (0–0)0 (0–0)0 (0–0)
405.2 (0–10.9)0.5 (0–1.5)2.5 (0–7.2)2.4 (0–5.0)
5011.8 (3.5–20.0)15.0 (10.1–19.9)13.3 (2.4–24.2)19.5 (12.9–26.1)
6027.0 (13.9–40.1)27.7 (21.0–34.3)34.5 (17.6–51.3)39.2 (30.3–48.1)
7034.9 (19.2–50.6)35.9 (27.6–44.2)45.6 (25.6–65.6)48.0 (37.4–58.5)
7534.9 (19.2–50.6)38.2 (29.0–47.4)45.6 (25.6–65.6)50.9 (39.5–62.3)

CI, confidence interval.

Figure 1

Cumulative incidence of (a) any cancer, (b) colorectal, and (c) endometrial cancer by gene and type of variant. There were no significant differences between carriers with missense/aberrant splicing versus truncating variants at any age in any groups (p > 0.05 for all comparisons).

Cumulative incidences for any cancer at 50 years in path_MLH1 carriers with truncating or missense/aberrant splicing variants were 39.5% (95% CI (34.5–44.5)) and 36.5% (95% CI (26.6–46.5)), respectively, and in path_MSH2 carriers, 35.2% (95% CI (29.3–41.1)) and 36.0% (95% CI (23.9–48.0)), respectively. Corresponding cumulative incidences for CRC were 28.0% (95% CI (23.3–32.7)) versus 23.8% (95% CI (14.6–33.0)) for path_MLH1 carriers and 18.1% (95% CI (13.3–22.9)) versus 15.1% (95% CI (6.4–23.8)) for path_MSH2 carriers with truncating or missense/aberrant splicing variants, respectively. Corresponding cumulative incidences for endometrial cancer were 15.0% (95% CI (10.1–19.9)) versus 11.8% (95% CI (3.5–20.0)) for path_MLH1 carriers and 19.5% (95% CI (12.9–26.1)) versus 13.3% (95% CI (2.4–24.2)) for path_MSH2 carriers with truncating or missense/aberrant splicing variants, respectively. Cumulative incidences for any cancer at 75 years in path_MLH1 carriers with truncating or missense/aberrant splicing variants were 75.4% (95% CI (69.1–81.8)) versus 83.5% (95% CI (71.4–95.6)), respectively, and in path_MSH2 carriers 80.3% (95% CI (73.3–87.4)) versus 87.1% (95% CI (75.6–98.6)), respectively. Corresponding cumulative incidences for CRC were 50.3% (95% CI (43.8–56.8)) versus 61.6% (95% CI (45.9–77.4)) for path_MLH1 carriers and 47.3% (95% CI (39.6–55.1)) versus 49.9% (95% CI (36.4–63.4)) for path_MSH2 carriers with truncating or missense/aberrant splicing variants, respectively. Corresponding cumulative incidences for endometrial cancer were 38.2% (95% CI (29.0–47.4)) versus 34.9% (95% CI (19.2–50.6)) for path_MLH1 carriers and 50.9% (95% CI (39.5–62.3)) versus 45.6% (95% CI (25.6–65.6)) for path_MSH2 carriers with truncating or missense/aberrant splicing variants, respectively.

4. Discussion and Conclusions

In contrast to expectations for the hypothesis we tested, carriers of truncating variants of either path_MLH1 and path_MSH2 had similar average cumulative incidences of cancers to carriers of missense or aberrant splicing variants affecting the corresponding gene. On average, carriers of both categories of pathogenic variants had the same high cumulative incidences of any cancer for both genes. The numbers of carriers in each of the groups were large enough to detect any major differences. Our findings will be of clinical interest when interpreting the results of genetic testing, and in planning preventive health care interventions in carriers. As reported previously [1,4], path_MSH2 carriers have higher incidence of other cancers than in the colorectum and endometrium, which is also reflected in the current results for carriers of both truncating and missense path_MSH2 variants. The cumulative cancer incidences for missense path_MSH2 carriers in the two highest age groups showed variation that was considered likely to be stochastic, reflecting the limited number of observation years. We have previously reported that pathogenic variants in each of the MMR genes result in different risks for cancers in organs, including the colorectum, endometrium, ovaries, stomach, small bowel, bile duct, pancreas, and upper urinary tract [1]. Previously, only one study with a very limited number of cases attempted to address the issue of whether the type of pathogenic variant also resulted in different cancer risks but was inconclusive [13]. Some MMR gene variants may be associated with partial but compromised function. The POLYPHEN and SIFT algorithms [26,27] attribute distinct degrees of malfunctioning to different missense variants, and there are examples of aberrant splicing and missense variants in the BRCA-genes that are associated with intermediate cancer incidences [22,28,29]. We cannot rule out the possibility that the criteria applied by the InSiGHT database to classify variants lack the sensitivity to identify low-risk variants in MLH1 and MSH2. Indeed, a functional study showed that the MLH1 variant p.K618T that was classified benign by InSIGHT had an intermediate repair capacity of ~35% to 50% [30]. Carriers of such variants may be at moderately increased risk for cancer, but may not be offered appropriate health care. Less penetrant path_MMR variants may also present clinically as the autosomal recessive constitutional mismatch repair deficiency syndrome (CCMRD), but path_PMS2 and path_MSH6 variants account for the majority of such cases. Path_PMS2 variants associated with a milder heterozygous phenotype may be overrepresented, since it was shown that heterozygous relatives of CMMRD patients had a lower cumulative colon cancer risk (8.7%) than reported for path_PMS2 as a whole by the PLSD and others [1,31]. A difference in age at CRC diagnosis was found for path_PMS2 carriers when stratifying variants into those that lead to loss of RNA expression compared to those for which expression was preserved [32,33], but a similar relationship was not observed in a CMMRD family cohort. Host immune factors may also be involved in determining cancer incidence in LS. Carriers of path_MLH1 and path_MSH2 variants develop thousands of mismatch repair-deficient and potentially precancerous gastrointestinal crypts [34,35]. The frequency at which they progress to infiltrating cancers may be largely determined by the host immune system, rather than the nature of the inherited path_MMR variant [34,36]. Genetic modifiers may also contribute to the variation in cancer risk and phenotypic variability in path_MMR carriers, leading those with such genetic modifiers to be at increased risk of having further cancers [9]. The strengths of our study include its large sample size and its prospective design, but a potential weakness is selection bias at contributing centres that may have failed to identify some low-penetrance variants. We are also aware that there are many other possible categorizations of path_MMR variants that could be investigated for differences in associated cancer incidences using the PLSD data, but we hesitate to do so until we have other plausible hypotheses to test. Similarly, we did not test for differences between class 4 and class 5 variants in relation to cancer incidence, as numbers were not large enough to make this comparison. The penetrance of the pathogenic MMR variants has no bearing on the classification of their pathogenicity. Having recruited sufficient numbers of carriers into PLSD to reach robust conclusions, we examined the hypothesis that missense or aberrant splicing variants may have lower incidence of cancer than truncating path_MLH1 and path_MSH2 variants. In contrast to our hypothesis, we found no difference. The results are of practical interest when presenting preventive health care options to carriers of path_MLH1 and path_MSH2 variants.
  36 in total

1.  Systematic mRNA analysis for the effect of MLH1 and MSH2 missense and silent mutations on aberrant splicing.

Authors:  Jessie Auclair; Marie Pierre Busine; Claudine Navarro; Eric Ruano; Gilles Montmain; Françoise Desseigne; Jean Christophe Saurin; Christine Lasset; Valérie Bonadona; Sophie Giraud; Alain Puisieux; Qing Wang
Journal:  Hum Mutat       Date:  2006-02       Impact factor: 4.878

2.  Combined analysis of three Lynch syndrome cohorts confirms the modifying effects of 8q23.3 and 11q23.1 in MLH1 mutation carriers.

Authors:  Bente A Talseth-Palmer; Juul T Wijnen; Ingvild S Brenne; Shantie Jagmohan-Changur; Daniel Barker; Katie A Ashton; Carli M Tops; Tiffany-Jane Evans; Mary McPhillips; Claire Groombridge; Janina Suchy; Grzegorz Kurzawski; Allan Spigelman; Pål Møller; Hans M Morreau; Tom Van Wezel; Jan Lubinski; Hans F A Vasen; Rodney J Scott
Journal:  Int J Cancer       Date:  2012-10-11       Impact factor: 7.396

3.  Mutation of a mutL homolog in hereditary colon cancer.

Authors:  N Papadopoulos; N C Nicolaides; Y F Wei; S M Ruben; K C Carter; C A Rosen; W A Haseltine; R D Fleischmann; C M Fraser; M D Adams
Journal:  Science       Date:  1994-03-18       Impact factor: 47.728

4.  An alternative approach to establishing unbiased colorectal cancer risk estimation in Lynch syndrome.

Authors:  Manon Suerink; Mar Rodríguez-Girondo; Heleen M van der Klift; Chrystelle Colas; Laurence Brugieres; Noémie Lavoine; Marjolijn Jongmans; Gabriel Capellá Munar; D Gareth Evans; Michael P Farrell; Maurizio Genuardi; Yael Goldberg; Encarna Gomez-Garcia; Karl Heinimann; Jessica I Hoell; Stefan Aretz; Kory W Jasperson; Inbal Kedar; Mitul B Modi; Sergey Nikolaev; Theo A M van Os; Tim Ripperger; Daniel Rueda; Leigha Senter; Wenche Sjursen; Lone Sunde; Christina Therkildsen; Maria G Tibiletti; Alison H Trainer; Yvonne J Vos; Anja Wagner; Ingrid Winship; Katharina Wimmer; Stefanie Y Zimmermann; Hans F Vasen; Christi J van Asperen; Jeanine J Houwing-Duistermaat; Sanne W Ten Broeke; Maartje Nielsen
Journal:  Genet Med       Date:  2019-06-17       Impact factor: 8.822

Review 5.  Update on Lynch syndrome genomics.

Authors:  Päivi Peltomäki
Journal:  Fam Cancer       Date:  2016-07       Impact factor: 2.375

6.  Cancer risk and survival in path_MMR carriers by gene and gender up to 75 years of age: a report from the Prospective Lynch Syndrome Database.

Authors:  Pål Møller; Toni T Seppälä; Inge Bernstein; Elke Holinski-Feder; Paulo Sala; D Gareth Evans; Annika Lindblom; Finlay Macrae; Ignacio Blanco; Rolf H Sijmons; Jacqueline Jeffries; Hans F A Vasen; John Burn; Sigve Nakken; Eivind Hovig; Einar Andreas Rødland; Kukatharmini Tharmaratnam; Wouter H de Vos Tot Nederveen Cappel; James Hill; Juul T Wijnen; Mark A Jenkins; Kate Green; Fiona Lalloo; Lone Sunde; Miriam Mints; Lucio Bertario; Marta Pineda; Matilde Navarro; Monika Morak; Laura Renkonen-Sinisalo; Mev Dominguez Valentin; Ian M Frayling; John-Paul Plazzer; Kirsi Pylvanainen; Maurizio Genuardi; Jukka-Pekka Mecklin; Gabriela Moeslein; Julian R Sampson; Gabriel Capella
Journal:  Gut       Date:  2017-07-28       Impact factor: 23.059

7.  Application of a 5-tiered scheme for standardized classification of 2,360 unique mismatch repair gene variants in the InSiGHT locus-specific database.

Authors:  Bryony A Thompson; Amanda B Spurdle; John-Paul Plazzer; Marc S Greenblatt; Kiwamu Akagi; Fahd Al-Mulla; Bharati Bapat; Inge Bernstein; Gabriel Capellá; Johan T den Dunnen; Desiree du Sart; Aurelie Fabre; Michael P Farrell; Susan M Farrington; Ian M Frayling; Thierry Frebourg; David E Goldgar; Christopher D Heinen; Elke Holinski-Feder; Maija Kohonen-Corish; Kristina Lagerstedt Robinson; Suet Yi Leung; Alexandra Martins; Pal Moller; Monika Morak; Minna Nystrom; Paivi Peltomaki; Marta Pineda; Ming Qi; Rajkumar Ramesar; Lene Juel Rasmussen; Brigitte Royer-Pokora; Rodney J Scott; Rolf Sijmons; Sean V Tavtigian; Carli M Tops; Thomas Weber; Juul Wijnen; Michael O Woods; Finlay Macrae; Maurizio Genuardi
Journal:  Nat Genet       Date:  2013-12-22       Impact factor: 38.330

8.  Incidence of and survival after subsequent cancers in carriers of pathogenic MMR variants with previous cancer: a report from the prospective Lynch syndrome database.

Authors:  Pål Møller; Toni Seppälä; Inge Bernstein; Elke Holinski-Feder; Paola Sala; D Gareth Evans; Annika Lindblom; Finlay Macrae; Ignacio Blanco; Rolf Sijmons; Jacqueline Jeffries; Hans Vasen; John Burn; Sigve Nakken; Eivind Hovig; Einar Andreas Rødland; Kukatharmini Tharmaratnam; Wouter H de Vos Tot Nederveen Cappel; James Hill; Juul Wijnen; Mark Jenkins; Kate Green; Fiona Lalloo; Lone Sunde; Miriam Mints; Lucio Bertario; Marta Pineda; Matilde Navarro; Monika Morak; Laura Renkonen-Sinisalo; Ian M Frayling; John-Paul Plazzer; Kirsi Pylvanainen; Maurizio Genuardi; Jukka-Pekka Mecklin; Gabriela Möslein; Julian R Sampson; Gabriel Capella
Journal:  Gut       Date:  2016-06-03       Impact factor: 23.059

9.  Association of Mismatch Repair Mutation With Age at Cancer Onset in Lynch Syndrome: Implications for Stratified Surveillance Strategies.

Authors:  Neil A J Ryan; Julie Morris; Kate Green; Fiona Lalloo; Emma R Woodward; James Hill; Emma J Crosbie; D Gareth Evans
Journal:  JAMA Oncol       Date:  2017-12-01       Impact factor: 31.777

10.  Lack of association between screening interval and cancer stage in Lynch syndrome may be accounted for by over-diagnosis; a prospective Lynch syndrome database report.

Authors:  Toni T Seppälä; Aysel Ahadova; Mev Dominguez-Valentin; Finlay Macrae; D Gareth Evans; Christina Therkildsen; Julian Sampson; Rodney Scott; John Burn; Gabriela Möslein; Inge Bernstein; Elke Holinski-Feder; Kirsi Pylvänäinen; Laura Renkonen-Sinisalo; Anna Lepistö; Charlotte Kvist Lautrup; Annika Lindblom; John-Paul Plazzer; Ingrid Winship; Douglas Tjandra; Lior H Katz; Stefan Aretz; Robert Hüneburg; Stefanie Holzapfel; Karl Heinimann; Adriana Della Valle; Florencia Neffa; Nathan Gluck; Wouter H de Vos Tot Nederveen Cappel; Hans Vasen; Monika Morak; Verena Steinke-Lange; Christoph Engel; Nils Rahner; Wolff Schmiegel; Deepak Vangala; Huw Thomas; Kate Green; Fiona Lalloo; Emma J Crosbie; James Hill; Gabriel Capella; Marta Pineda; Matilde Navarro; Ignacio Blanco; Sanne Ten Broeke; Maartje Nielsen; Ken Ljungmann; Sigve Nakken; Noralane Lindor; Ian Frayling; Eivind Hovig; Lone Sunde; Matthias Kloor; Jukka-Pekka Mecklin; Mette Kalager; Pål Møller
Journal:  Hered Cancer Clin Pract       Date:  2019-02-28       Impact factor: 2.857

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  2 in total

Review 1.  Calcium signaling in neurodevelopment and pathophysiology of autism spectrum disorders.

Authors:  Ashkan Pourtavakoli; Soudeh Ghafouri-Fard
Journal:  Mol Biol Rep       Date:  2022-07-20       Impact factor: 2.742

Review 2.  Hereditary Gynecologic Cancer Syndromes - A Narrative Review.

Authors:  Stoyan Kostov; Rafał Watrowski; Yavor Kornovski; Deyan Dzhenkov; Stanislav Slavchev; Yonka Ivanova; Angel Yordanov
Journal:  Onco Targets Ther       Date:  2022-04-08       Impact factor: 4.147

  2 in total

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