Literature DB >> 31386297

Germline mismatch repair gene variants analyzed by universal sequencing in Japanese cancer patients.

Yoshimi Kiyozumi1, Hiroyuki Matsubayashi1,2, Yasue Horiuchi1,3, Satomi Higashigawa1, Takuma Oishi4, Masato Abe4, Sumiko Ohnami5, Kenichi Urakami5, Takeshi Nagashima5,6, Masatoshi Kusuhara5, Hidehiko Miyake7, Ken Yamaguchi5.   

Abstract

BACKGROUND: Lynch syndrome (LS) is the commonest inherited cancer syndrome caused by pathogenic variants of germline DNA mismatch repair (g.MMR) genes. Genome-wide sequencing is now increasingly applied for tumor characterization, but not for g.MMR. The aim of this study was to evaluate the incidence and pathogenicity of g.MMR variants in Japanese cancer patients.
METHODS: Four g.MMR genes (MLH1, MSH2, MSH6, and PMS2) were analyzed by next generation sequencing in 1058 cancer patients (614 male, 444 female; mean age 65.6 years) without past diagnosis of LS. The g.MMR variant pathogenicity was classified based on the ClinVar 2015 database. Tumor MMR immunohistochemistry, microsatellite instability (MSI), and BRAF sequencing were also investigated in specific cases.
RESULTS: Overall, 46 g.MMR variants were detected in 167 (15.8%) patients, 17 likely benign variants in 119 patients, 24 variants of uncertain significance (VUSs) in 68 patients, two likely pathogenic variants in two patients, and three pathogenic variants in three (0.3%) patients. The three pathogenic variants included two colorectal cancers with MLH1 loss and high MSI and one endometrial cancer with MSH6 loss and microsatellite stability. Two likely pathogenic variants were shifted to VUSs by ClinVar (2018). One colon cancer with a likely benign variant demonstrated MLH1 loss and BRAF mutation, but other nonpathogenic variants showed sustained MMR and microsatellite stability.
CONCLUSIONS: Universal sequencing of g.MMR genes demonstrated sundry benign variants, but only a small proportion of cancer patients had pathogenic variants. Pathogenicity evaluation using the ClinVar database agreed with MSI, MMR immunohistochemistry, and BRAF sequencing.
© 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Lynch syndrome; exome sequencing; mismatch repair gene; next generation sequencing; pathogenicity; variant of uncertain significance

Mesh:

Substances:

Year:  2019        PMID: 31386297      PMCID: PMC6745857          DOI: 10.1002/cam4.2432

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.452


American College of Medical Genetics conflicting interpretation colorectal cancer endometrial cancer evaluation of genomic application in practice and prevention Exome Aggregation Consortium germline mismatch repair gene Human Gene Mutation Database Human Genetic Variation Database immunohistochemistry Lynch syndrome DNA mismatch repair microsatellite instability high frequency of microsatellite instability low frequency of microsatellite instability microsatellite stable next generation sequence Polymorphism Phenotyping V2 project of high‐tech omics‐based patient evaluation The Tohoku Medical Megabank Organization variant uncertain for significance whole exome sequencing

INTRODUCTION

Lynch syndrome (LS; OMIM 120435) is an autosomal dominant cancer predisposition syndrome caused by germline variants in DNA mismatch repair (MMR) genes (eg, MLH1, MSH2, MSH6, and PMS2). It accounts for 1%‐4% of colorectal cancer (CRC)1, 2, 3, 4 and for 2%‐6% of endometrial cancers (EC).5, 6, 7 Variant carriers are at risk of early onset CRC,3, 4 EC,5, 6 upper tract urothelial cancers,8, 9 gastric cancer (particularly in Asian countries, such as Japan and Korea10) and a spectrum of other tumors.11, 12 The classical diagnosis of LS first lists high‐risk individuals by their own cancer history and family cancer history, based on the Amsterdam II criteria1 or revised Bethesda guidelines.2 These patients are further evaluated by microsatellite instability (MSI) analysis and immunohistochemistry (IHC) of MMR proteins in their tumors, and a final diagnosis of the deleterious variant of the germline MMR (g.MMR) genes is made by DNA sequencing.1, 2 Currently, the strategy for LS detection has been shifted toward universal screening using MMR IHC and/or MSI analysis for all or for age‐limited conditions of LS‐related cancers, as this strategy is more sensitive than selection based only on demographic and clinical information.6, 7, 13, 14, 15 At present, genetic examination of g.MMR genes, which is essential for the diagnosis of LS, has been applied to highly suspect candidates with LS‐related cancers, but not to all cancer patients. Today, oncological characterizations16 and diagnosis of inherited cancer syndromes17, 18 are increasingly obtained by genome‐wide or gene‐panel DNA sequencing using next generation sequencing (NGS).19, 20 However, these analyses may further complicate the issues regarding the interpretation of variants of uncertain significance (VUSs).21 Pathogenicity evaluations of g.MMR genes variants at the experimental level have included splicing assays, high‐performance liquid chromatography assays of denatured material, and several other functional assays at the experimental level, in addition to segregation assays and in silico assays.21, 22, 23 Results of these analyses and literature data have been gathered and integrated in large databases, such as ClinGen,17, 18 which are now easily accessed by clinicians and counselors through ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/). To date, only a few papers have reported the universal sequencing of g.MMR genes using NGS in a large number and variety of cancer patients. The present study has focused on the incidence and pathogenicity evaluations of g.MMR variants generated by universal sequencing in Japanese cancer patients who had not been previously diagnosed with LS.

MATERIALS AND METHODS

Study design and evaluation of mismatch repair gene variants

In January 2014, the Shizuoka Cancer Center started a project of high‐tech omics‐based patient evaluation (Project HOPE) that performs genome‐wide exome sequencing in germline and somatic DNAs of various cancer patients.24 The current study, as part of the HOPE project, analyzed 1058 cancer patients (614 male and 444 female, mean age ± SD: 65.6 ± 12.9 years old, median: 67 years old, range: 11‐90 years old), who underwent surgical resection at Shizuoka Cancer Center Hospital during January 2014 and March 2015. Cancer cases included 355 colorectal, 129 gastric, 29 pancreatic, 14 brain, 13 ovarian, 10 endometrial, 8 small intestine (including 5 duodenal), and 4 biliary cancers (Table 1); all cancers were pathologically confirmed from surgical samples. At the initial hospital visit, patients and their families filled out the questionnaire sheets on the information of patient's past disease history, family history, and lifestyle aspects. The nurses reconfirmed the content of sheets by conducting interviews for about 20‐30 minutes with each patient.
Table 1

Cancer types of 1058 cancer cases

Cancer typen
Colon355
Lung179
Stmach129
Head and neck91
Breast80
Liver62
Pancreas29
Kidney15
Brain14
Ovary13
Soft tissue12
Esophagus12
Uterus body10
Uterus cervix9
Skin9
Small intestinea 8
Biliary tract4
Others27

Cancers of small intestine includes five duodenal cancers.

Cancer types of 1058 cancer cases Cancers of small intestine includes five duodenal cancers. Germline DNA, extracted from blood samples obtained soon before the surgery, was subjected to whole exome sequencing (WES). We examined whole exon as well as short length of adjacent noncoding intervening sequence (intron). When a variant was detected, its pathogenicity was determined by referring to the public genome database, ClinVar, reported in July 2015. The pathogenicity was divided into the following five levels: benign, likely benign, VUS, likely pathogenic, and pathogenic.21 In addition to known pathogenic variants, unreported genetic variants expected to cause the disorder—the so‐called “expected pathogenic” variants25 in the American College of Medical Genetics (ACMG) classification—were also treated as pathogenic.21 In silico data, based on Human Gene Mutation Database (HGMD), PolyPhen‐2, SIFT, and allele frequencies reported by ExAC,21 the Tohoku Medical Megabank Organization (ToMMo),26 and the Human Genetic Variation Database (HGVD)27 in 2018, were listed for reference (Table S1). The incidence of cases meeting the revised Bethesda guideline28 was compared among three pathogenic levels (1: pathogenic and likely pathogenic, 2: VUS, 3: likely benign, benign, and nonvariants). When pathogenic and likely pathogenic variants were confirmed in g.MMR genes, a medical geneticist (H.M) and/or genetics counselors (Y.K, Y.H, and S.H) disclosed the results to the participants29 and examined for MSI and MMR protein immunohistochemistry (MMR IHC) (Figure 1). In VUSs, if the patient was contactable and consented after the turnaround of their g.MMR data, at least one case with each VUS who met the revised Bethesda guideline was also examined for MSI and MMR IHC. When the pathogenicity of the variant was suspected, a medical check or surveillance of LS was provided as needed.
Figure 1

Flowchart for selection for microsatellite instability analysis and DNA mismatch repair (MMR) immunohistochemistry in 1058 cancer cases who underwent germline MMR sequencing

Flowchart for selection for microsatellite instability analysis and DNA mismatch repair (MMR) immunohistochemistry in 1058 cancer cases who underwent germline MMR sequencing The Institutional Review Board of Shizuoka Cancer Center ethically approved this study and all the procedures were conducted in accordance with the Helsinki Declaration. Written informed consent of this study was obtained from all participants before study entry and before further LS diagnostic procedures.

Germline DNA analysis

Germline DNA was extracted from blood samples obtained soon before the surgery using a QIAamp DNA Blood Kit (QIAGEN, Venlo, Netherlands). WES was performed using an Ion Torrent AmpliSeq Exome RDY Panel kit (Thermo Fisher Scientific, Waltham, MA, USA), following the manufacturer's recommended protocol.30, 31 Briefly, 10 ng of DNA was used to prepare the template, and the libraries were prepared automatically using the Ion Chef System (Thermo Fisher Scientific). Libraries were quantified using the quantitative polymerase chain reaction, and 7 pM was sequenced using the Ion Torrent Proton Sequencer (Thermo Fisher Scientific) semiconductor DNA sequencer according to the manufacturer's protocol. The threshold of WES was set to 30%, and <30% of allele ratio was not judged to be germline variants. Germline DNA was first analyzed by WES, and the possibly deleterious variants (pathogenic variants, likely pathogenic variants, and VUSs) were all confirmed by Sanger sequencing.

Microsatellite instability analysis

MSI was analyzed after acquisition of a separate written informed consent for diagnosis of LS. MSI analysis was entrusted to FALCO HOLDINGS Co., Ltd. (Kyoto, Japan) and performed using MSI Analysis System, Version 1.2 (Cat. # MD1641, Promega Corporation, Madison, WI, USA) following the manufacturer's recommended protocol. Briefly, DNA was extracted from FFPE tissue slide by QIAamp DNA FFPE Tissue Kit (QIAGEN). Twenty‐nanograms of DNA was used in a total of 10 µL PCR reaction mix and PCR was performed by Veriti thermal cycler by following cycling profile: 1 cycle 95°C for 11 minutes; 1 cycle 96°C for 1 minute; 10 cycles ramp 100% to 94°C for 30 seconds, ramp 29% to 58°C for 30 seconds, ramp 23% to 70°C for 1 minute; 20 cycles ramp 100% to 90°C for 30 seconds, ramp 29% to 58°C for 30 seconds, ramp 23% to 70°C for 1 minute; 60°C for 30 minutes final extension; and 4°C hold. PCR amplicon was diluted by distilled water and applied to 3130xl Genetic Analyzer (Thermo Fisher Scientific). Fragment analysis was performed by GeneMapper software (Thermo Fisher Scientific) and MSI status was evaluated by comparing normal and tumor tissue using five nearly monomorphic mononucleotide microsatellite markers (BAT25, BAT26, NR21, NR24, and MONO27). A high frequency of microsatellite instability (MSI‐H) was defined when the tumor DNA demonstrated instability in two or more markers, whereas a low frequency of MSI instability (MSI‐L) was defined when only one marker was instable, and microsatellite stability was defined when a null marker showed instability.

Immunohistochemistry of mismatch repair protein

Paraffin‐embedded block of the surgical specimen was sliced into 3 μm thickness and was attached onto a slide glass. After deparaffinization with xylene for 15 minutes and stepwise de‐xylene treatment by ethanol, heat treatment was performed using Epitope Retrieval Solution 2 (pH 9.0, Leica Biosystems, Wetzlar, Germany) at 95°C for 20 minutes to activate antigenicity. As a primary antibody against each MMR protein, anti‐hMLH1 antibody (Clone ES05, ×50 dilution, Dako, Santa Clara, CA, USA), anti‐hMSH2 antibody (Clone FE11, ×50 dilution, Dako), anti‐hMSH6 antibody (Clone EP49, ×50 dilution, Dako), anti‐hPMS2 antibody (Clone EP51, ×25 dilution, Dako) were used. The secondary antibody was reacted at room temperature for 8 minutes using Bond Polymer Refine Detection (Cat. No. DS9800, Leica). Color was developed with diaminobenzidine (SIGMA, St. Louis, MO, USA) for 10 minutes at room temperature. When MMR protein was not expressed or its expression was severely repressed in the cancer tissue, contrasting with the diffuse expression in the noncancer tissue, the tumor was designated as MMR expression negative. This evaluation was done by the expert pathologist (T.O). Histological images were taken using a pathological slide scanner (NanoZoomer S360 Digital slide scanner, C 9600‐02, Hamamatsu Photonics KK, Shizuoka, Japan).

Statistical analysis

Incidences of CRC patients meeting the revised Bethesda guideline were compared among the three pathogenic levels using Spearman rank correlation test and the JMP ver.12.2.0 statistical software. P < .05 was considered to be statistically significant.

RESULTS

Incidence of germline mismatch repair gene variants

Based on the ClinVar database from 2015, the current WES of g.MMR genes in 1058 cancer patients demonstrated three (0.3%) pathogenic variants (MLH1 c.545 + 2T>C, MLH1 c.2041G>A [p.Ala681Thr], and MSH6 c.1126G>T [p.Glu376*]) in three patients, two (0.2%) likely pathogenic variants (MLH1 c.453G>A [p.Thr151=] and MLH1 c.1153C>T [p.Arg385Cys]) in two patients (Table 2), 24 VUSs in 68 patients, and 17 likely benign variants in 119 patients (Table S1). Of three pathogenic variants, the pathogenicity level and allele frequency of two variants (MLH1 c.545 + 2T>C32 and MSH6 c.1126G>T) were not registered in the ClinVar, HGMD, or ExAC databases. However, they were splice sites variants and nonsense variants, and had very strong evidence of pathogenicity (PVS1 category).21 The pathogenicity level evaluated by ClinVar, either in 2015 or in 2018, was not consistent with the HGMD category or other in silico assays (Polyphen‐2 and SIFT). In total, 23 patients had multiple g.MMR variants: two variants in 21 patients and three variants in two patients. Variants with allele frequencies ≥0.5%, which are generally judged as nonpathogenic, were reported by ExAC in none of 34 of the nonpathogenic variants (VUSs + likely benign variants) and reported by HGVD in five of 23 (21.7%) nonpathogenic variants. The Japanese database (ToMMo) still lacks information for currently recognized g.MMR variants in the healthy populations (Table S1).
Table 2

Demographics, microsatellite instability, and mismatch repair protein expression in patients with germline mismatch repair genes variants

IHC of MMR protein
Pathogenicity (2015)a No.VariantsGenderAge (y.o)Tumor siteRevised Bethesada criteriaMSIMLH1MSH2MSH6PMS2Somatic BRAF V600EPathogenicity (2018)a
Pathogenic1 MLH1 (c.545 + 2T>C)M29RectumYesMSI‐H(−)(+)(+)(−)NR
2 MLH1 (c.2041G>A)F52CecumYesMSI‐H(±)(+)(+)(±)Pathogenic
3 MSH6 (c.1126G>T)F55EndometriumNoMSS(+)(+)(−)(+)NR
LP4 MLH1 (c.453G>A)M44LungNoMSS(+)(+)(+)(+)US
5 MLH1 (c.1153C>T)F73Sigmoid colonNoMSS(+)(+)(+)(+)US
US6 MLH1 (c.46G>C)M67Sigmoid colonYesMSS(+)(+)(+)(+)US
7 MSH6 (c.3772C>G)M59Transvers colonYesMSS(+)(+)(+)(+)US
LB8 MLH1 (c.1990‐6G>A)M46RectumYesUncontactedb UncontactedCI (US1 LB3)
9M51RectumYesMSS(+)(+)(+)(+)
10M51AppendixYesUncontactedUncontacted
11F38Sigmoid colonYesMSS(+)(+)(+)(+)
12 MSH2 (c.471C>A)F51Sigmoid colonYesMSS(+)(+)(+)(+)LB
13 MSH2 (c.972G>A)F78Transvers colonYesDisagreec DisagreeLB
14 MSH2 (c.1255C>A)F40RectumYesMSS(+)(+)(+)(+)LB
15M53RectumYesMSS(+)(+)(+)(+)
16 MSH6 (c.532C>T)F51Ascending colonYesMSS(+)(+)(+)(+)CI (US3 LB1)
17F61Ascending colonYesMSI‐H(−)(+)(+)(−)+
18 MSH6 (c.3246G>A)M79RectumYesMSS(+)(+)(+)(+)CI (US2 LB3 B1)

Abbreviations: CI, conflicting interpretation of pathogenicity; F, female; IHC, immunohistochemistry; LB, likely benign; LP, likely pathogenic; M, male; MMR, DNA mismatch repair; MSI‐H, high frequency of microsatellite instability; MSS, microsatellite stable; NR, not reported; US, uncertain for significance.

Pathogenicity level was determined using ClinVar database at 2015 and ACMG guideline, and ClinVar database at 2018 alone.

Patient have uncontacted hospital for genetic counselling.

Patient disagreed on MSI examination.

Demographics, microsatellite instability, and mismatch repair protein expression in patients with germline mismatch repair genes variants Abbreviations: CI, conflicting interpretation of pathogenicity; F, female; IHC, immunohistochemistry; LB, likely benign; LP, likely pathogenic; M, male; MMR, DNA mismatch repair; MSI‐H, high frequency of microsatellite instability; MSS, microsatellite stable; NR, not reported; US, uncertain for significance. Pathogenicity level was determined using ClinVar database at 2015 and ACMG guideline, and ClinVar database at 2018 alone. Patient have uncontacted hospital for genetic counselling. Patient disagreed on MSI examination. Of 355 colorectal cancer cases, 71 cases met the revised Bethesda guideline. Colorectal cancer cases meeting the revised Bethesda guideline were recognized in two (66.7%) of the three cases with pathogenic and likely pathogenic variants, two (7.4%) of the 27 cases with VUSs, and 67 (20.6%) of the 325 cases with benign genotypes (including likely benign and benign variants and nonvariants; P = .375).

Microsatellite instability and mismatch repair protein expression in cases with various germline mismatch repair variants

MSI analysis and MMR protein IHC were performed for the cases that met the conditions described in Figure 1 and that provided consent for these analyses. In total, 15 patients (12 variants) agreed to undergo MSI analysis and MMR IHC, but three patients did not agree or did not contact our hospital after the turnaround of variant data (cases 8, 10, and 13; Table 2). A subject with cecal cancer (case 2) who showed histological signs of partially mucinous differentiation had a pathogenic variant of g.MLH1 c.2041G>A, a high frequency of MSI (5 of 5 markers), repressed MLH1 and PMS2 expression (Figure 2). A subject of endometrial cancer (case 3) with a germline pathogenic variant (MSH6 c.1126G>T) showed a loss of MSH6 expression, but retained microsatellite stability, suggestive of an MSH6‐specific phenomenon.33 Case 17, with a likely benign variant (MSH6 c.532C>T), revealed preserved tumor MSH6 and MSH2 expression, but showed MSI‐H and a loss of tumor expression of MLH1 and PMS2. In this tumor, a BRAF V600E mutation was recognized. Overall, the IHC and MSI statuses analyzed in 12 g.MMR variants (15 patients) were all compatible with the ClinVar database in 2018 (Table 2).
Figure 2

Mismatch repair protein expression in the invasive mucinous carcinoma of case 2, with the germline pathogenic variant of MLH1 showing severely repressed expression of MLH1 and PMS2 (×50, A: MLH1, B: MSH2, C: MSH6, and D: PMS2, scale bars indicating 250 μm)

Mismatch repair protein expression in the invasive mucinous carcinoma of case 2, with the germline pathogenic variant of MLH1 showing severely repressed expression of MLH1 and PMS2 (×50, A: MLH1, B: MSH2, C: MSH6, and D: PMS2, scale bars indicating 250 μm)

Changes in variant categories evaluated by the ClinVar 2015 and 2018 databases

Two cases judged as likely pathogenic variants based on ClinVar database edited in 2015 (case 4: lung cancer case with MLH1 [c.453G>A]; and case 5: sigmoid colon cancer case with MLH1 [c.1153C>T]) were re‐categorized as VUSs by the ClinVar 2018 database. These cases contained four MMR proteins and showed microsatellite stability (Table 2). Similarly, five previously designated VUSs were re‐categorized as “conflicting interpretation (CI)” variants in 2018, and nine likely benign variants were shifted to three VUSs, five CIs, and one benign/likely benign variant (Table 3 and Table S1).
Table 3

Change of pathogenicity evaluation of germline mismatch repair gene variants from 2015 to 2018

Pathogenicity level based on the ClinVar database
20152018n
Likely pathogenicVUS2
VUSCI5
Likely benignVUS3
Likely benignCI5
Likely benignBenign/Likely benign1

Abbreviations: CI, conflicting interpretations of pathogenicity; VUS, variant uncertain for significance.

Change of pathogenicity evaluation of germline mismatch repair gene variants from 2015 to 2018 Abbreviations: CI, conflicting interpretations of pathogenicity; VUS, variant uncertain for significance.

DISCUSSION

The current study describes universal germline MMR (g.MMR) exome sequencing on 1058 cancer cases, and demonstrated pathogenic variants in 0.3% (3) of all cancer cases, 0.6% (2/355) of the colorectal cancer cases, and 10% (1/10) of the EC cases. The worldwide incidences of LS have been reported as 1.0%‐3.7% in CRC patients and 1.7%‐5.9% in EC patients. Subtle differences are seen among various countries for both CRCs (1.0%34 to 1.9%35 in the USA, 0.7%4 to 3.1%14 in Spain, 2.4%13 to 3.7%36 in France, 0.6%37 in Australia, and 0.7%38 in Japan) and in EC (1.7%7 to 4.5%39 in the USA, 5.9%6 in Canada, 4.6%40 in Spain, 2.4%5 in Australia, and 2.9%41 in Japan). The incidence of g.MMR variants in Japanese CRC patients tends to be lower compared with other countries. A variety of founder mutations of MMR genes have been reported over the world. A nationwide study conducted by the Japanese Society for Cancer of the Colon and Rectum reported that large deletions or duplications were common (26.6%) in Japanese LS patients including the MLH1 founder mutations.42 Therefore, when only sequencing analysis is performed, these variants may be missed. Families with Japanese founder mutations may be limited to biased areas of the country, and the true prevalence of Japanese LS should be investigated in nation‐wide studies. In addition, a lifetime risk of developing CRC among carriers of the mutations may be influenced by environmental factors and the lifestyles.43 Within our literature survey, this is the first study analyzing g.MMR variants of more than 1000 cancer patients in Japan. The Tohoku Medical Megabank Organization (ToMMo) determined allele frequencies of g.MMR variants in healthy Japanese cohorts and reported 0.6% pathogenic variants (13/2049; MLH1: 0.49%, MSH2: 0.08%, MSH6: 0.05%, and PMS2: 0%).26 This incidence seems to be compatible with the current result (0.3%), as the risk of developing any cancer is high in g.MMR variant carriers (at age 70, male: 75%, female: 58%).44 The NGS data from the USA demonstrated similar incidences of pathogenic g.MMR variants in advanced cancer patients (0.7% [11/1566] at the Memorial Sloan Kettering Cancer Center19 and 0.5% [5/1000] at MD Anderson Cancer Center20). Until the early 2000s, screening of LS was done by focusing on cancer patients with high‐risk conditions according to the Amsterdam II criteria or revised Bethesda guideline;28 and MMR IHC and MSI analysis were then conduced on these selected patients.2, 34, 36 Later, universal screening using MMR IHC7, 45 and/or MSI analysis36, 46 (±age limitation) prevailed over these demographic selections. The earlier screening strategy desensitized the LS detection ratio when compared to universal screening (eg, the revised Bethesda guideline gave a rate of 0%‐50%5, 7, 47 and the Society of Gynecologic Oncology criteria gave a rate of 43%15 in the setting of 100% sensitivity by universal screening). These data were compatible with the current result of no difference in the ratio of colorectal cancer cases meeting the revised Bethesda guideline among the three variant levels. Although the cost‐effectiveness is controversial,34, 48 the Evaluation of Genomic Application in Practice and Prevention (EGAPP) working group in the USA does not currently recommend the use of family history to exclude individuals with newly diagnosed cancers from offers of genetic testing, because of the poor identification of LS. Thus, the trend to detect LS has shifted toward the use of universal screening.49 When compared with MMR IHC34, 37, 50 and MSI analysis,13, 36 the sensitivity of detecting LS is equivalent to MSI analysis when using four MMR proteins for IHC.51 Approximately 3% of the cases were discordant in these two methods, and 5% of cancers that demonstrated MSI had normal MMR protein expression,52, 53 while some tumors with pathogenic variants of g.MSH6 revealed microsatellite stability,33 like case 3 in the current study (Table 2). IHC is readily available and generally inexpensive and can predict the causative gene; therefore, it is presently considered the optimal first‐line screening tool rather than the MSI test.51 In tumors with repressed expression of MLH1 and PMS2, further analysis of BRAF mutation or MLH1 promoter methylation is needed to exclude somatic MLH1 alterations,54 as in case 17 (Table 2). Today, cancer genomic‐based precision medicine has led to the use of NGS for universal somatic55 and germline19, 20 MMR sequencing for selected‐gene or genome‐wide analysis. This strategy saves the initial step of IHC screening and directly examines the genome; therefore, it may reduce costs if the charge for the genetic test decreases. A study by Gould‐Suarez et al comparing the cost‐effectiveness of 10 strategies for detecting LS demonstrated that parallel testing with MSI and MMR IHC offered the most robust yield at a reasonable cost, and that universal g.MMR sequencing was the most expensive. However, they concluded that germline testing could be the most cost‐effective test if the price of g.MMR sequencing were to decrease to $633–$1518,56 which could be realized given the recent trends in NGS.57 However, the main issue of universal sequencing of g.MMR involves the pathogenicity evaluation based on the public genome database, due to the high proportion of VUSs and the transition to a pathogenic level with time. In fact, the current study using the ClinVar database demonstrated 24 types of VUSs in 68 patients (Table S1), and 16 variants changed their variant levels between 2015 and 2018 (Table 3). Notably, two variants judged as probably pathogenic in 2015 (case 4 and case 5 in Table 2) were shifted to VUSs in 2018. Moreover, not all the pathogenic variants have been clarified in the database, and entirely new pathogenic variants are still being discovered (case 132 and case 3 in Table 2). Cases of null variants (such as nonsense, frameshift, and splice site mutations) can be easily judged as pathogenic, but difficulties arise in cases with moderate to strong levels of pathogenicity showing novel missense variants and the same amino acid‐type variants, and these need functional assay validation.21 Conversely, MMR IHC and MSI analysis can be helpful for g.MMR variants with undetermined pathogenicity, as the results are highly concordant with the ClinVar‐based pathogenicity level, according to the current study findings. Accumulation of these biomedical data is essential for accurate and reliable genetic evaluation in the future. The current study has some limitations. It was conducted at a single cancer center in Japan. More than 1000 cases, but not a particularly large number of subjects, were included in order to detect rare events. In addition we used the Ion Torrent system for NGS, which gives a higher throughput (80‐100 Mb/hour) in the 100‐bp mode but tends to produce homopolymer‐associated indel errors when compared with the MiSeq system (Illumina, San Diego, USA).58 Since we have analyzed only whole exon and adjacent short sequences of introns, we cannot observe all pathogenic variants of intron sites. In addition, we did not exclude a possibility of false positive/negative variant of PMS2 due to the presence of highly homologous pseudogenes in our method. In conclusion, universal sequencing of g.MMR genes demonstrated a number of benign variants, as well as definitive pathogenic variants in a small fraction of cancer patients. Pathogenicity evaluation using the ClinVar database was highly concordant with MSI analysis, MMR immunohistochemistry, and BRAF sequencing. Reliable pathogenicity evaluation of these variants requires further accumulation of biomedical information for each variant.

CONFLICT OF INTEREST

The authors declare that they have no conflict of interest.

AUTHOR CONTRIBUTIONS

YK, YH, SH, and HM worked on genetic counseling and patient management; TO and MA performed pathological sample preparation and diagnosis; SO, KU, and MK worked on DNA sequencing and laboratory tasks; TN was in charge of bioinformatics work in genetic evaluation; YK and HM wrote the manuscript; and KY supervised the study. Click here for additional data file.
  58 in total

1.  Universal screening for microsatellite instability in colorectal cancer in the clinical genomics era: new recommendations, methods, and considerations.

Authors:  Jaclyn F Hechtman; Sumit Middha; Zsofia K Stadler; Ahmet Zehir; Michael F Berger; Efsevia Vakiani; Martin R Weiser; Marc Ladanyi; Leonard B Saltz; David S Klimstra; Jinru Shia
Journal:  Fam Cancer       Date:  2017-10       Impact factor: 2.375

2.  Optimizing an ion semiconductor sequencing data analysis method to identify somatic mutations in the genomes of cancer cells in clinical tissue samples.

Authors:  Takeshi Nagashima; Yuji Shimoda; Tomoe Tanabe; Akane Naruoka; Junko Saito; Masakuni Serizawa; Keiichi Ohshima; Kenichi Urakami; Sumiko Ohnami; Shumpei Ohnami; Tohru Mochizuki; Masatoshi Kusuhara; Ken Yamaguchi
Journal:  Biomed Res       Date:  2016       Impact factor: 1.203

3.  Implementation of individualized medicine for cancer patients by multiomics-based analyses—the Project HOPE—.

Authors:  Ken Yamaguchi; Kenichi Urakami; Keiichi Ohshima; Tohru Mochizuki; Yasuto Akiyama; Katsuhiko Uesaka; Takashi Nakajima; Mitsuru Takahashi; Sunao Tamai; Masatoshi Kusuhara
Journal:  Biomed Res       Date:  2014       Impact factor: 1.203

4.  Comparison between universal molecular screening for Lynch syndrome and revised Bethesda guidelines in a large population-based cohort of patients with colorectal cancer.

Authors:  Lucía Pérez-Carbonell; Clara Ruiz-Ponte; Carla Guarinos; Cristina Alenda; Artemio Payá; Alejandro Brea; Cecilia M Egoavil; Adela Castillejo; Victor M Barberá; Xavier Bessa; Rosa M Xicola; María Rodríguez-Soler; Cristina Sánchez-Fortún; Nuria Acame; Sergi Castellví-Bel; Virgínia Piñol; Francesc Balaguer; Luis Bujanda; María-Luisa De-Castro; Xavier Llor; Montserrat Andreu; Angel Carracedo; José-Luis Soto; Antoni Castells; Rodrigo Jover
Journal:  Gut       Date:  2011-08-25       Impact factor: 23.059

5.  Eight novel MSH6 germline mutations in patients with familial and nonfamilial colorectal cancer selected by loss of protein expression in tumor tissue.

Authors:  Jens Plaschke; Stefan Krüger; Wolfgang Dietmaier; Johannes Gebert; Christian Sutter; Elisabeth Mangold; Constanze Pagenstecher; Elke Holinski-Feder; Karsten Schulmann; Gabriela Möslein; Josef Rüschoff; Christoph Engel; Gareth Evans; Hans K Schackert
Journal:  Hum Mutat       Date:  2004-03       Impact factor: 4.878

6.  Implementation of universal microsatellite instability and immunohistochemistry screening for diagnosing lynch syndrome in a large academic medical center.

Authors:  Brandie Heald; Thomas Plesec; Xiuli Liu; Rish Pai; Deepa Patil; Jessica Moline; Richard R Sharp; Carol A Burke; Matthew F Kalady; James Church; Charis Eng
Journal:  J Clin Oncol       Date:  2013-02-11       Impact factor: 44.544

7.  Universal Versus Targeted Screening for Lynch Syndrome: Comparing Ascertainment and Costs Based on Clinical Experience.

Authors:  Mujde Z Erten; Luca P Fernandez; Hank K Ng; Wendy C McKinnon; Brandie Heald; Christopher J Koliba; Marc S Greenblatt
Journal:  Dig Dis Sci       Date:  2016-07-06       Impact factor: 3.199

Review 8.  Guidelines for the clinical management of Lynch syndrome (hereditary non-polyposis cancer).

Authors:  H F A Vasen; G Möslein; A Alonso; I Bernstein; L Bertario; I Blanco; J Burn; G Capella; C Engel; I Frayling; W Friedl; F J Hes; S Hodgson; J-P Mecklin; P Møller; F Nagengast; Y Parc; L Renkonen-Sinisalo; J R Sampson; A Stormorken; J Wijnen
Journal:  J Med Genet       Date:  2007-02-27       Impact factor: 6.318

9.  Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.

Authors:  Sue Richards; Nazneen Aziz; Sherri Bale; David Bick; Soma Das; Julie Gastier-Foster; Wayne W Grody; Madhuri Hegde; Elaine Lyon; Elaine Spector; Karl Voelkerding; Heidi L Rehm
Journal:  Genet Med       Date:  2015-03-05       Impact factor: 8.822

10.  A novel MLH1 intronic variant in a young Japanese patient with Lynch syndrome.

Authors:  Yoshimi Kiyozumi; Hiroyuki Matsubayashi; Yasue Horiuchi; Takuma Oishi; Masato Abe; Sumiko Ohnami; Akane Naruoka; Masatoshi Kusuhara; Ken Yamaguchi
Journal:  Hum Genome Var       Date:  2018-04-23
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  5 in total

1.  Japanese Society for Cancer of the Colon and Rectum (JSCCR) guidelines 2020 for the Clinical Practice of Hereditary Colorectal Cancer.

Authors:  Naohiro Tomita; Hideyuki Ishida; Kohji Tanakaya; Tatsuro Yamaguchi; Kensuke Kumamoto; Toshiaki Tanaka; Takao Hinoi; Yasuyuki Miyakura; Hirotoshi Hasegawa; Tetsuji Takayama; Hideki Ishikawa; Takeshi Nakajima; Akiko Chino; Hideki Shimodaira; Akira Hirasawa; Yoshiko Nakayama; Shigeki Sekine; Kazuo Tamura; Kiwamu Akagi; Yuko Kawasaki; Hirotoshi Kobayashi; Masami Arai; Michio Itabashi; Yojiro Hashiguchi; Kenichi Sugihara
Journal:  Int J Clin Oncol       Date:  2021-06-29       Impact factor: 3.402

Review 2.  Surveillance of Individuals with a Family History of Pancreatic Cancer and Inherited Cancer Syndromes: A Strategy for Detecting Early Pancreatic Cancers.

Authors:  Hiroyuki Matsubayashi; Yoshimi Kiyozumi; Hirotoshi Ishiwatari; Katsuhiko Uesaka; Masataka Kikuyama; Hiroyuki Ono
Journal:  Diagnostics (Basel)       Date:  2019-10-31

3.  Microsatellite instability is biased in Amsterdam II-defined Lynch-related cancer cases with family history but is rare in other cancers: a summary of 1000 analyses.

Authors:  Hiroyuki Matsubayashi; Satomi Higashigawa; Yoshimi Kiyozumi; Takuma Oishi; Keiko Sasaki; Hirotoshi Ishiwatari; Kenichiro Imai; Kinichi Hotta; Yohei Yabuuchi; Kazuma Ishikawa; Tatsunori Satoh; Hiroyuki Ono; Akiko Todaka; Takeshi Kawakami; Hiromichi Shirasu; Hirofumi Yasui; Teichi Sugiura; Katsuhiko Uesaka; Hiroyasu Kagawa; Akio Shiomi; Nobuhiro Kado; Yasuyuki Hirashima; Yoshio Kiyohara; Etsuro Bando; Masashi Niwakawa; Seiichiro Nishimura; Takeshi Aramaki; Nobuaki Mamesaya; Hirotsugu Kenmotsu; Yasue Horiuchi; Masakuni Serizawa
Journal:  BMC Cancer       Date:  2022-01-17       Impact factor: 4.430

4.  Germline mismatch repair gene variants analyzed by universal sequencing in Japanese cancer patients.

Authors:  Yoshimi Kiyozumi; Hiroyuki Matsubayashi; Yasue Horiuchi; Satomi Higashigawa; Takuma Oishi; Masato Abe; Sumiko Ohnami; Kenichi Urakami; Takeshi Nagashima; Masatoshi Kusuhara; Hidehiko Miyake; Ken Yamaguchi
Journal:  Cancer Med       Date:  2019-08-06       Impact factor: 4.452

5.  Mutation analysis of related genes in hamartoma polyp tissue of Peutz-Jeghers syndrome.

Authors:  Zhi Zhang; Fu-Xiao Duan; Guo-Li Gu; Peng-Fei Yu
Journal:  World J Gastroenterol       Date:  2020-04-28       Impact factor: 5.742

  5 in total

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