Literature DB >> 31162827

Tumor mutational signatures in sebaceous skin lesions from individuals with Lynch syndrome.

Peter Georgeson1,2, Michael D Walsh3, Mark Clendenning1,2, Simin Daneshvar1,4, Bernard J Pope1,5, Khalid Mahmood1,5, Jihoon E Joo1,2, Harindra Jayasekara1,2,6,7, Mark A Jenkins8, Ingrid M Winship9,10, Daniel D Buchanan1,2,10.   

Abstract

BACKGROUND: Muir-Torre syndrome is defined by the development of sebaceous skin lesions in individuals who carry a germline mismatch repair (MMR) gene mutation. Loss of expression of MMR proteins is frequently observed in sebaceous skin lesions, but MMR-deficiency alone is not diagnostic for carrying a germline MMR gene mutation.
METHODS: Whole exome sequencing was performed on three MMR-deficient sebaceous lesions from individuals with MSH2 gene mutations (Lynch syndrome) and three MMR-proficient sebaceous lesions from individuals without Lynch syndrome with the aim of characterizing the tumor mutational signatures, somatic mutation burden, and microsatellite instability status. Thirty predefined somatic mutational signatures were calculated for each lesion.
RESULTS: Signature 1 was ubiquitous across the six lesions tested. Signatures 6 and 15, associated with defective DNA MMR, were significantly more prevalent in the MMR-deficient lesions from the MSH2 carriers compared with the MMR-proficient non-Lynch sebaceous lesions (mean ± SD=41.0 ± 8.2% vs. 2.3 ± 4.0%, p = 0.0018). Tumor mutation burden was, on average, significantly higher in the MMR-deficient lesions compared with the MMR-proficient lesions (23.3 ± 11.4 vs. 1.8 ± 0.8 mutations/Mb, p = 0.03). All four sebaceous lesions observed in sun exposed areas of the body demonstrated signature 7 related to ultraviolet light exposure.
CONCLUSION: Tumor mutational signatures 6 and 15 and somatic mutation burden were effective in differentiating Lynch-related from non-Lynch sebaceous lesions.
© 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc.

Entities:  

Keywords:  Lynch syndrome; Muir-Torre syndrome; mismatch repair deficiency; mismatch repair immunohistochemistry; sebaceoma; sebaceous adenoma; sebaceous carcinoma

Mesh:

Substances:

Year:  2019        PMID: 31162827      PMCID: PMC6625139          DOI: 10.1002/mgg3.781

Source DB:  PubMed          Journal:  Mol Genet Genomic Med        ISSN: 2324-9269            Impact factor:   2.183


INTRODUCTION

Individuals who carry germline mutations in one of the DNA mismatch repair (MMR) genes (MLH1, MSH2, MSH6, or PMS2) have a high risk of developing cancer of the colon and rectum, and endometrium, among others, referred to as Lynch syndrome (Win et al., 2012). Muir‐Torre syndrome is a phenotypic variant of Lynch syndrome where individuals develop sebaceous skin lesions and internal (noncutaneous) malignancies (Lynch, Lynch, Pester, & Fusaro, 1981). One of the key mutational processes that is disrupted across cancers is the DNA MMR process, identified by tumor mutational signatures 6, 15, 20, and 26 (Wellcome Sanger Institute, 2019). Sebaceous neoplasms describe rare skin tumors involving the sebaceous glands that include sebaceous adenomas, sebaceous carcinomas, and sebaceomas (collectively referred to as sebaceous neoplasia in this study; reviewed in (Flux, 2017)). Lynch syndrome related tumors, including sebaceous skin lesions (Cesinaro et al., 2007), develop characteristic features namely widespread somatic DNA replication errors occurring within microsatellite repeats, referred to as microsatellite instability (MSI), and loss of expression of one or more of the MMR proteins determined by immunohistochemical (IHC) staining, collectively referred to as tumor MMR‐deficiency. Recently, tumor mutational signatures have been identified that provide insights into the etiology of the tumorigenesis process through a genome‐wide assessment of somatic mutations and the sequence context in which they occur (Alexandrov et al., 2013). MMR‐deficiency in sebaceous neoplasia has been reported to be a sensitive screening tool for identifying MMR gene mutation carriers (Everett et al., 2014), however, the presence of MMR‐deficiency in a sebaceous lesion does not necessarily indicate the presence of a germline MMR gene mutation (Everett et al., 2014; Ponti et al., 2014; Roberts et al., 2014). The role of tumor mutational signatures in sebaceous neoplasia arising in the context of Lynch syndrome has not been well described. In this study, we report on whole exome sequencing (WES) derived tumor mutational signatures present in sebaceous skin lesions in people with and without Lynch syndrome.

METHODS

Study cohort

Individuals with sebaceous skin lesions were recruited to the Muir‐Torre study (Royal Melbourne Hospital and University of Melbourne Human Research Ethics Committee approval HREC/16/MH/8 and 1648355.1, respectively) from Sullivan Nicolaides Pathology and from the Australasian Colorectal Cancer Family Registry (University of Melbourne Human Research Ethics Committee approval 1339757 (Jenkins et al., 2018; Newcomb et al., 2007). Each participant's personal history of cancer and smoking were captured via a self‐reported questionnaire. Histopathological assessment (SD) determined sebaceous adenoma or carcinoma subtype. IHC testing for MMR protein expression identified MMR‐deficiency (loss of expression of one or more MMR proteins) or MMR‐proficiency (normal/retained expression of all four MMR proteins). Germline MMR gene testing was determined by gene specific Sanger sequencing and Multiplex Ligation Dependent Probe Amplification as previously described (Buchanan et al., 2017).

WES and loss of heterozygosity analysis

Formalin‐Fixed Paraffin Embedded (FFPE) tissue was macrodissected capturing areas of sebaceous differentiation. DNA extraction was performed using QIAamp DNA FFPE Tissue kit and standard protocols (Qiagen). Peripheral blood‐derived DNA was extracted using DNeasy blood and tissue kit (Qiagen) and sequenced as germline reference. Capture of the whole exome was performed using Agilent Clinical Research Exome V2 (Agilent) with sequencing performed on a NovaSeq 6000 comprising 150 bp paired‐end reads at targeted depths of 400 for FFPE tumor and 100 for buffy coat samples. Adapter sequence was trimmed from the raw FASTQ files using trimmomatic 0.38, then aligned to GRCh37 using BWA 0.7.12. Somatic single‐nucleotide variants (SSNVs) were called with Mutect2, using recommended GATK practices, and Strelka 2.9.2 using Illumina's recommended workflow. Short insertions and deletions (indels) were called with Strelka 2.9.2 only. The intersection of SSNVs from these two callers was then limited to mutations with a minimum coverage depth of 40 reads and a minimum allele frequency of 10%. These filtered SSNVs were used to calculate mutational signatures using the Wellcome Trust Sanger Institute (WTSI) predefined set of 30 signatures (version 2) published on the COSMIC website. Each sample's set of mutational signatures was determined by computing the optimal linear combination of signatures that maximizes cosine similarity, as previously described by DeconstructSigs (Rosenthal, McGranahan, Herrero, Taylor, & Swanton, 2016). We assessed the impact of sequencing error due to DNA damage with Picard's CollectSequencingArtifactMetrics tool; all samples were considered to be of acceptable quality. MSI was determined using MSIsensor (Niu et al., 2014). Key driver SSNVs in the sebaceous lesions were considered to be those moderate and high impact variants, according to the Variant Effect Predictor, that occurred in somatic mutational “hotspots.” Somatic mutation hotspots were determined by recurrent mutation frequency in COSMIC mutation census. Details of the somatic pipeline are available at https://github.com/supernifty/somatic-pipeline. Loss of heterozygosity (LOH) was determined by assessing regions of the genome containing heterozygous germline variants that appeared to be either homozygous reference or homozygous alternative in the somatic sample based on an allele frequency range of 0.3 to 0.7 in the germline variant and a difference of greater than 0.3 in the somatic variant. Details of the LOH algorithm are available at https://github.com/supernifty/loh_caller. When referring to MSH2 (OMIM: 609309) DNA changes and protein changes, the RefSeq transcripts are NM_000251.2 and NP_000242.1, respectively; the HRAS (OMIM: 190020) DNA change and protein change transcripts are NM_005343.2 and NP_005334.1 and the protein change transcripts for EGFR (OMIM: 131550), MET (OMIM: 164860), RB1 (OMIM: 614041), and POLE (OMIM: 174762) are NP_005219.2, NP_001120972.1, NP_000312.2, and NP_006222.2, respectively. Calculation of p‐values was performed using the two‐tailed unpaired student's t test.

RESULTS

The characteristics of the individuals carrying germline MMR gene mutations in the MSH2 gene (and MSH2/MSH6‐deficient sebaceous lesions) and individuals without germline MMR gene mutations (and MMR‐proficient sebaceous lesions), and their sebaceous lesions are described in Table 1. The average number of paired‐end reads for sebaceous lesions and blood‐derived DNA samples was 98,616,284 and 24,532,732, respectively, which translates to an average coverage of 298.2 and 81.1 across the target capture region. Interrogation of the WES confirmed the germline MSH2 mutations in each of the three carriers (ID10101, ID00011, ID04001) and the absence of germline MMR gene mutations in the three noncarriers (ID31001, ID44001, ID67001). Sebaceous lesion tissue analysis revealed a “second hit” affecting the wild‐type allele for each of the three MSH2 mutation carriers, confirming defects in both alleles and consistent with the loss of expression of MSH2 and MSH6 proteins in the tissue (Table 2). LOH across the MSH2 gene region was observed as the second somatic hit in only one sample (Sample 04001; Figure 1).
Table 1

Clinico‐pathological characteristics of the six study participants

IDGender Age at Diagnosis (years) MMR germlineSebaceous LesionSiteMMR IHC statusCancer historySmoking history
Individuals without Lynch syndrome
31001M64NoneAdenomaR cheekNormal expressionNone Former 20−38 years (infrequently)
44001M55NoneAdenomaL templeNormal expressionSkin cancer Former 17−25 years
67001M70NoneAdenomaL neckNormal expressionProstate (60 years); Melanoma (65 years)Former (infrequently at school)
Individuals with Lynch syndrome
10101M50 MSH2 c.892C > T p.Gln298Ter AdenomaR nasal tipMSH2/MSH6 lossColon (44 years); Ileocolon (54 years) Former 10−48 years (Heavy)
00011M50 MSH2 c.2131C > T p.Arg711Ter CarcinomathighMSH2/MSH6 lossMelanomas (50, 53, 60 years)No
04001F64 MSH2 c.2131C > T p.Arg711Ter CarcinomabackMSH2/MSH6 loss Renal pelvis (60 years); Colon (62 years); breast (70 years) Current 30−64 years (moderate)

Age at diagnosis of lesion tested by whole exome sequencing; Gender: M = Male, F = Female; Site: L = left, R = Right side of body; MMR = mismatch repair; normal expression = normal and retained expression of all four MMR proteins tested (MMR‐proficiency), MSH2/MSH6 loss = loss of expression of MSH2 and MSH6 proteins with retained/normal expression of MLH1 and PMS2 proteins (MMR‐deficiency).

Table 2

Somatic mutation characteristics from the six sebaceous lesions tested by Whole Exome Sequencing

IDSebaceous lesionSiteMMR germlineMMR IHC statusSomatic mutation characteristics
Somatic MMR mutationTumor mutational loadTumor mutational burden (mutations/Mb)Exonic microsatellites affected by indels MSIsensor score  (%)
31001AdenomaR cheekNoneNormal expressionNone1842.7130.34
44001AdenomaL templeNoneNormal expressionNone801.2110.02
67001AdenomaL neckNoneNormal expression None 1001.5150.24
10101AdenomaR nasal tip MSH2 c.892C > T p.Gln298Ter MSH2/MSH6 loss MSH2 c.1216C > T p.Arg406Ter 94314.01392.54
00011CarcinomaThigh MSH2 c.2131C > T p.Arg711Ter MSH2/MSH6 loss MSH2 c.1861C > T p.Arg621Ter 1,34119.955521.11
04001CarcinomaBack MSH2 c.2131C > T p.Arg711Ter MSH2/MSH6 loss MSH2 LOH c.942 onwards 2,42136.067423.53

Tumor mutational load is the total number of SSNVs found by both Mutect2 and Strelka meeting minimum allele frequency and depth requirements and falling in the capture region. Tumor mutational burden is the number of SSNVs per megabase of capture region. Exonic microsatellites is the number of indels found in these regions by Strelka2. MSIsensor score is the percentage of microsatellites affected by indels according to MSISensor

Abbreviations: LOH, loss of heterozygosity; IHC, immunohistochemistry; MMR, mismatch repair.

Figure 1

Plots (a‐f) depict the presence or the absence of loss of heterozygosity (LOH) in each tumor across the first 80 million bases of chromosome 2, which encompasses the MSH2 gene. Samples 31001, 44001, 67001, 10101, 00011 show minimal LOH across this region, while 04001 demonstrates substantial evidence for LOH. Plot (g) shows MSH2 and the immediately surrounding region in 04001, which demonstrates that a large proportion of the gene is affected by LOH, including the reported germline heterozygous mutation at c.2131

Clinico‐pathological characteristics of the six study participants Age at diagnosis of lesion tested by whole exome sequencing; Gender: M = Male, F = Female; Site: L = left, R = Right side of body; MMR = mismatch repair; normal expression = normal and retained expression of all four MMR proteins tested (MMR‐proficiency), MSH2/MSH6 loss = loss of expression of MSH2 and MSH6 proteins with retained/normal expression of MLH1 and PMS2 proteins (MMR‐deficiency). Somatic mutation characteristics from the six sebaceous lesions tested by Whole Exome Sequencing Tumor mutational load is the total number of SSNVs found by both Mutect2 and Strelka meeting minimum allele frequency and depth requirements and falling in the capture region. Tumor mutational burden is the number of SSNVs per megabase of capture region. Exonic microsatellites is the number of indels found in these regions by Strelka2. MSIsensor score is the percentage of microsatellites affected by indels according to MSISensor Abbreviations: LOH, loss of heterozygosity; IHC, immunohistochemistry; MMR, mismatch repair. Plots (a‐f) depict the presence or the absence of loss of heterozygosity (LOH) in each tumor across the first 80 million bases of chromosome 2, which encompasses the MSH2 gene. Samples 31001, 44001, 67001, 10101, 00011 show minimal LOH across this region, while 04001 demonstrates substantial evidence for LOH. Plot (g) shows MSH2 and the immediately surrounding region in 04001, which demonstrates that a large proportion of the gene is affected by LOH, including the reported germline heterozygous mutation at c.2131 The number of somatic mutations identified in the six sebaceous lesion exomes called by both variant callers and with sufficient allele frequency and read depth, and falling in the capture region, ranged from 80 to 2,421 which translates to tumor mutation burdens ranging from 1.2 to 36.0 mutations per megabase (mutations/Mb). The MMR‐deficient Lynch syndrome‐related lesions had, on average, significantly higher tumor mutation burden than the MMR‐proficient lesions (23.3 ± 11.4 vs. 1.8 ± 0.8 mutations/Mb per lesion, p = 0.03, Table 2). The two sebaceous carcinomas had the highest tumor mutation burdens (Table 2). Somatic indel mutations at exonic microsatellites were also enriched in the MMR‐deficient sebaceous lesions compared with the MMR‐proficient lesions (456 ± 280.9 vs. 13.0 ± 2.0; p = 0.052), consistent with a phenotype of replicative errors within short nucleotide repeat regions (microsatellite instability). The proportion of microsatellite sites affected by indels as measured by MSIsensor (Niu et al., 2014) was also higher in the MMR‐deficient samples compared with the MMR‐proficient samples (15.7 ± 11.5 vs. 0.2 ± 0.16; p = 0.08). Of note, all three of the MMR‐proficient sebaceous lesions acquired a predicted pathogenic somatic missense variant in HRAS (c.351G > T p.Lys117Asn, c.351G > T p.Lys117Asn and c.182A > G p.Gln61Arg in 31001, 44001, and 67001, respectively), with only MMR‐deficient sample 04001 acquiring a HRAS mutation (c.436G > A p.Ala146Thr). In addition, the MMR‐deficient samples acquired predicted pathogenic hotspot mutations; 10101 ‐ EGFR (p.Arg222Cys), 00011 ‐ MET (p.Ala320Val), and 04001 ‐ RB1 (p.Arg556Ter) and POLE (p.Thr278Met), which were not observed in the MMR‐proficient samples. The MMR‐deficient samples acquired frameshift mutations in coding microsatellite regions that are frequently mutated in colorectal and/or endometrial cancer (Kloor & von Knebel Doeberitz, 2016) (Table 3).
Table 3

Genes with coding microsatellite regions that commonly have indel somatic mutations in colorectal and/or endometrial cancer reported in Kloor and von Knebel Doeberitz (2016)

 GeneMMR‐proficient SamplesMMR‐deficient  Samples
310014400167001101010001104001
TGFBR2 NoneFrameshiftNoneNoneNoneFrameshift
TAF1B NoneNoneNoneNoneNoneNone
AIM2 NoneNoneNoneFrameshiftNoneNone
ASTE1 NoneNoneNoneNoneFrameshiftFrameshift
ACVR2 NoneNoneNoneNoneFrameshiftNone
CASP5 NoneNoneNoneNoneFrameshiftNone
NDUFC2 NoneNoneNoneFrameshiftNoneNone
SLC2289 NoneNoneNoneNoneFrameshiftFrameshift
MSH3 NoneNoneNoneNoneFrameshiftNone
SMAP1 NoneNoneNoneNoneNoneNone
OR7E24 NoneNoneNoneNoneNoneNone
KIAA2018 NoneNoneNoneNoneNoneFrameshift
JAK1 NoneNoneNoneNoneNoneNone
C18ORF34 NoneNoneNoneNoneNoneFrameshift

The presence of a frameshift somatic mutation in the MMR‐proficient and MMR‐deficient sebaceous lesions is shown.

Genes with coding microsatellite regions that commonly have indel somatic mutations in colorectal and/or endometrial cancer reported in Kloor and von Knebel Doeberitz (2016) The presence of a frameshift somatic mutation in the MMR‐proficient and MMR‐deficient sebaceous lesions is shown. The mutational signature composition for each of the six sebaceous lesions is shown in Figure 2. Two tumor mutational signatures related to defective DNA MMR, signatures 6 and 15, were evident in all MMR‐deficient samples. The MMR‐deficient Lynch syndrome related sebaceous lesions demonstrated a significantly increased proportion of mutational signature 6 compared with the MMR‐proficient sebaceous lesions, with a mean contribution within the overall signature composition of 31.3 ± 8.5% and 2.3 ± 4.0% per lesion, respectively (p = 0.006, Figure 2). Signature 15 was only observed in the MMR‐deficient lesions contributing on average 9.7 ± 1.5% per lesion to overall signature composition. The combined contribution of signatures 6 and 15 were 39%, 50%, and 34% for each of the three MMR‐deficient lesions with a mean ± SD of 41.0 ± 8.2% per lesion compared with combined 6 and 15 signatures in non‐Lynch affected MMR‐proficient samples of mean ± SD of 2.3 ± 4.0% per lesion (p = 0.0018).
Figure 2

The mutational signature components for each of the six sebaceous lesions tested indicated by the signature number, suggested etiology and the percentage contribution to the overall mutational composition for each sample

The mutational signature components for each of the six sebaceous lesions tested indicated by the signature number, suggested etiology and the percentage contribution to the overall mutational composition for each sample Four of the sebaceous lesions developed on areas of the body typically exposed to greater amounts of sunlight (cheek, temple, neck, and nose), and concomitantly demonstrated the presence of signature 7 (Figure 2), whose etiology is related to ultraviolet‐associated DNA damage. The other two sebaceous lesions that occurred on the thigh and back did not demonstrate signature 7. The sebaceous adenoma from person 44001 demonstrated a tobacco‐related signature, signature 29, and comprised ~30% of the overall signature composition. This individual reported smoking for a period of 8 years, some 30 years prior to the removal of the sebaceous adenoma at age 55 years. The MMR‐proficient sebaceous adenomas from participants 31001 and 67001 demonstrated less dominant tobacco‐related signatures, signatures 4 and 29. Both participants were former smokers reporting infrequent smoking behavior. In contrast, none of the MMR‐deficient sebaceous lesions showed a tobacco‐related signature despite two of the three MSH2 carriers reporting moderate to heavy smoking for over 30 years.

DISCUSSION

Tumor mutational signatures are derived from the type of somatic base substitution and the sequence context in which they occur, providing novel insights into the biological processes operative in the development and progression of the tumor (Alexandrov et al., 2013). In this study, the sebaceous lesions from those individuals with a MSH2 germline mutation and an identified second somatic hit of the wild‐type allele (Lynch syndrome) demonstrated a significantly higher tumor mutational burden and number of somatic indels at exonic microsatellites, compared with the MMR‐proficient non‐Lynch sebaceous lesions. These characteristics are associated with MMR‐deficiency in other Lynch syndrome‐related cancer types (Cortes‐Ciriano, Lee, Park, Kim, & Park, 2017). In addition, we observed a higher enrichment of tumor mutational signatures 6 and 15 in these samples, compared with the MMR‐proficient non‐Lynch sebaceous lesions. Signatures 6 and 15 have been previously associated with defective DNA MMR in other cancer types (Alexandrov et al., 2013; Ma, Setton, Lee, Riaz, & Powell, 2018). Signatures 6 and 15 together contributed on average 41% of the overall signatures in the three MMR‐deficient lesions, and is consistent with a previous study which demonstrated a significant contribution of signatures 6 and 15 to the overall signature composition in one individual with Lynch syndrome who developed a MSI‐H (MMR‐deficient) sebaceous carcinoma (North et al., 2018). These findings highlight the dominant association that loss of MMR function has with the development of sebaceous neoplasia in people with Lynch syndrome. Of interest, signatures 20 and 26, have been associated with defective MMR (Helleday, Eshtad, & Nik‐Zainal, 2014; Temko, Tomlinson, Severini, Schuster‐Bockler, & Graham, 2018; Wellcome Sanger Institute, 2019), but were not observed in the Lynch‐related sebaceous skin lesions in this study. Only three MMR‐deficient sebaceous lesions were tested in this study and so they may not represent the complete heterogeneity of mutation signatures that are observed in Lynch‐related sebaceous neoplasia. In support of our findings, signatures 20 and 26 were not observed in the nine MSI‐H (MMR‐deficient) sebaceous carcinomas in the study by North and colleagues (North et al., 2018) suggesting these two defective MMR signatures are not significant indicators of sebaceous neoplasia development. In addition, signatures 20 and 26 are generally less commonly observed. Across the TCGA cohort (Tomczak, Czerwinska, & Wiznerowicz, 2015), signatures 6, 15, 20, and 26 are observed (at a level greater than 10%) in 23%, 15%, 7%, and 3% of samples, respectively. Signature 1 was present in all six sebaceous lesions, observed as the dominant signature in 4/6 sebaceous lesions tested. Signature 1 is a consequence of deamination of 5‐methylcytosine, which is not only associated with age but also formalin fixation (Do & Dobrovic, 2015). We assessed the impact of sequencing error due to FFPE‐derived DNA damage (see Methods), however, all samples were considered to be of acceptable quality. Signature 1 has been commonly found in all cancer types including in Lynch syndrome related sebaceous neoplasia (North et al., 2018). All four of the sebaceous adenomas tested in this study were on the head and neck region and demonstrated an ultraviolet damage mutational signature (Signature 7). This signature was absent in the two sebaceous carcinomas that occurred on the thigh and back, areas less likely to be sun exposed. In comparison, (North et al., 2018) observed signature 7 in 10/14 of the sebaceous carcinomas tested on the head and neck region, including in one of the MSI‐H sebaceous carcinomas, supporting our findings and the significance of an ultraviolet DNA damage mutational process in sebaceous lesion development in sun exposed areas. One MMR‐deficient sebaceous adenoma in our study (sample 10101) demonstrated both MMR‐deficiency (signatures 6 and 15) and ultraviolet damage (signature 7) signatures, the contribution of signatures 6 and 15 to the overall signature composition was greater than that of signature 7 (39% vs. 18%). Similarly, North et al. (2018) observed a single MMR‐deficient sebaceous carcinoma from a non‐Lynch person that exhibited both a MMR‐deficiency (signatures 6 and 15) and an ultraviolet damage (signature 7) signature where the contribution of the defective MMR signatures was also greater than the ultraviolet damage signature. Loss of MMR function appears to be a more dominant driver of tumorigenesis in sebaceous neoplasia even in sun exposed areas of the body although further support for this is needed. The MMR‐proficient ultraviolet‐damaged related sebaceous carcinomas from North et al. (2018) showed the highest number of SSNVs even compared with the MMR‐deficient sebaceous carcinomas. In our study, the three MMR‐proficient tumors exhibited substantially lower somatic mutational burden than the MMR‐deficient tumors, both for exonic SSNVs (average 121 and 1,568, respectively) and exonic microsatellite indels (average 13 and 456, respectively). We also investigated the relationship between smoking status and the presence of mutational signatures 4 and 29. These two signatures have been associated with DNA damage due to tobacco mutagens (Alexandrov et al., 2016; Wellcome Sanger Institute, 2019). Signature 29 was observed in all three of the MMR‐proficient sebaceous adenomas, where all three people reported a previous history of smoking. Interestingly, signature 29 was most prominent in MMR‐proficient sebaceous adenoma from 44001 who reportedly stopped smoking 30 years before the diagnosis of the adenoma. None of the MMR‐deficient sebaceous lesions samples exhibited signature 29 despite one reporting he was a former heavy smoker (person 10101) while person 04001 was still smoking at the time of sebaceous carcinoma diagnosis. The absence of signature 29 in these individuals suggests that the loss of MMR function could be a more significant contributor to the development and progression of their sebaceous lesions than effects from tobacco mutagens. It is also possible that the MMR‐deficient sebaceous lesions have originated before the exposure to tobacco mutagens. However, for each of the six people in this study we have no information on exposure to passive smoking or occupational exposure to tobacco mutagens which may influence the presence of signature 29.

CONCLUSIONS

MMR‐deficient sebaceous lesions from MSH2 gene mutation carriers demonstrated a significantly higher tumor mutation burden, increased numbers of indels in exonic microsatellite repeats and the highest proportion of tumor mutational signatures 6 and 15 compared with MMR‐proficient non‐Lynch sebaceous lesions, features which are consistent with other cancer types demonstrating MMR‐deficiency. Ultraviolet‐related signatures were important contributors to the mutational process in sebaceous lesions on sun exposed areas of the body including in the presence of MMR‐deficiency. Tobacco‐related signature 29 was only observed in MMR‐proficient sebaceous samples in our study and requires further investigation to elucidate its contribution to the oncogenic processes in sebaceous neoplasia development. Here, we demonstrated the utility of assessing tumor mutational signatures and tumor mutational burden for differentiating MMR‐deficient Lynch‐related from non‐Lynch MMR‐proficient sebaceous lesions which may facilitate improved identification of high‐risk MMR gene mutation carriers.

CONFLICT OF INTEREST

The authors have no conflict of interest.

DISCLOSURE

Dr Buchanan served as a consultant on the Tumor Agnostic (dMMR) Advisory Board of Merck Sharp and Dohme in 2017 and 2018 for Pembrolizumab.
  23 in total

1.  Tumor testing to identify lynch syndrome in two Australian colorectal cancer cohorts.

Authors:  Daniel D Buchanan; Mark Clendenning; Christophe Rosty; Dallas English; Mark A Jenkins; Stine V Eriksen; Michael D Walsh; Rhiannon J Walters; Stephen N Thibodeau; Jenna Stewart; Susan Preston; Aung Ko Win; Louisa Flander; Driss Ait Ouakrim; Finlay A Macrae; Alex Boussioutas; Ingrid M Winship; Graham G Giles; John L Hopper; Melissa C Southey
Journal:  J Gastroenterol Hepatol       Date:  2017-02       Impact factor: 4.029

Review 2.  Sebaceous Neoplasms.

Authors:  Katharina Flux
Journal:  Surg Pathol Clin       Date:  2017-06

3.  Colorectal and other cancer risks for carriers and noncarriers from families with a DNA mismatch repair gene mutation: a prospective cohort study.

Authors:  Aung Ko Win; Joanne P Young; Noralane M Lindor; Katherine M Tucker; Dennis J Ahnen; Graeme P Young; Daniel D Buchanan; Mark Clendenning; Graham G Giles; Ingrid Winship; Finlay A Macrae; Jack Goldblatt; Melissa C Southey; Julie Arnold; Stephen N Thibodeau; Shanaka R Gunawardena; Bharati Bapat; John A Baron; Graham Casey; Steven Gallinger; Loïc Le Marchand; Polly A Newcomb; Robert W Haile; John L Hopper; Mark A Jenkins
Journal:  J Clin Oncol       Date:  2012-02-13       Impact factor: 44.544

4.  Muir-Torre syndrome or phenocopy? The value of the immunohistochemical expression of mismatch repair proteins in sebaceous tumors of immunocompromised patients.

Authors:  G Ponti; G Pellacani; C Ruini; A Percesepe; C Longo; V Desmond Mandel; F Crucianelli; G Gorelli; A Tomasi
Journal:  Fam Cancer       Date:  2014-12       Impact factor: 2.375

5.  Mismatch repair proteins expression and microsatellite instability in skin lesions with sebaceous differentiation: a study in different clinical subgroups with and without extracutaneous cancer.

Authors:  Anna Maria Cesinaro; Alessandro Ubiali; Pamela Sighinolfi; Gian Paolo Trentini; Francesca Gentili; Fabio Facchetti
Journal:  Am J Dermatopathol       Date:  2007-08       Impact factor: 1.533

6.  The cancer family syndrome. Rare cutaneous phenotypic linkage of Torre's syndrome.

Authors:  H T Lynch; P M Lynch; J Pester; R M Fusaro
Journal:  Arch Intern Med       Date:  1981-04

7.  Mutational signatures associated with tobacco smoking in human cancer.

Authors:  Ludmil B Alexandrov; Young Seok Ju; Kerstin Haase; Peter Van Loo; Iñigo Martincorena; Serena Nik-Zainal; Yasushi Totoki; Akihiro Fujimoto; Hidewaki Nakagawa; Tatsuhiro Shibata; Peter J Campbell; Paolo Vineis; David H Phillips; Michael R Stratton
Journal:  Science       Date:  2016-11-04       Impact factor: 47.728

Review 8.  The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.

Authors:  Katarzyna Tomczak; Patrycja Czerwińska; Maciej Wiznerowicz
Journal:  Contemp Oncol (Pozn)       Date:  2015

Review 9.  The therapeutic significance of mutational signatures from DNA repair deficiency in cancer.

Authors:  Jennifer Ma; Jeremy Setton; Nancy Y Lee; Nadeem Riaz; Simon N Powell
Journal:  Nat Commun       Date:  2018-08-17       Impact factor: 14.919

10.  Tumor mutational signatures in sebaceous skin lesions from individuals with Lynch syndrome.

Authors:  Peter Georgeson; Michael D Walsh; Mark Clendenning; Simin Daneshvar; Bernard J Pope; Khalid Mahmood; Jihoon E Joo; Harindra Jayasekara; Mark A Jenkins; Ingrid M Winship; Daniel D Buchanan
Journal:  Mol Genet Genomic Med       Date:  2019-06-04       Impact factor: 2.183

View more
  4 in total

1.  Identifying colorectal cancer caused by biallelic MUTYH pathogenic variants using tumor mutational signatures.

Authors:  Peter Georgeson; Tabitha A Harrison; Bernard J Pope; Syed H Zaidi; Conghui Qu; Robert S Steinfelder; Yi Lin; Jihoon E Joo; Khalid Mahmood; Mark Clendenning; Romy Walker; Efrat L Amitay; Sonja I Berndt; Hermann Brenner; Peter T Campbell; Yin Cao; Andrew T Chan; Jenny Chang-Claude; Kimberly F Doheny; David A Drew; Jane C Figueiredo; Amy J French; Steven Gallinger; Marios Giannakis; Graham G Giles; Andrea Gsur; Marc J Gunter; Michael Hoffmeister; Li Hsu; Wen-Yi Huang; Paul Limburg; JoAnn E Manson; Victor Moreno; Rami Nassir; Jonathan A Nowak; Mireia Obón-Santacana; Shuji Ogino; Amanda I Phipps; John D Potter; Robert E Schoen; Wei Sun; Amanda E Toland; Quang M Trinh; Tomotaka Ugai; Finlay A Macrae; Christophe Rosty; Thomas J Hudson; Mark A Jenkins; Stephen N Thibodeau; Ingrid M Winship; Ulrike Peters; Daniel D Buchanan
Journal:  Nat Commun       Date:  2022-06-06       Impact factor: 17.694

2.  Tumor mutational signatures in sebaceous skin lesions from individuals with Lynch syndrome.

Authors:  Peter Georgeson; Michael D Walsh; Mark Clendenning; Simin Daneshvar; Bernard J Pope; Khalid Mahmood; Jihoon E Joo; Harindra Jayasekara; Mark A Jenkins; Ingrid M Winship; Daniel D Buchanan
Journal:  Mol Genet Genomic Med       Date:  2019-06-04       Impact factor: 2.183

Review 3.  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

4.  Germline and Tumor Sequencing as a Diagnostic Tool To Resolve Suspected Lynch Syndrome.

Authors:  Bernard J Pope; Mark Clendenning; Christophe Rosty; Khalid Mahmood; Peter Georgeson; Jihoon E Joo; Romy Walker; Ryan A Hutchinson; Harindra Jayasekara; Sharelle Joseland; Julia Como; Susan Preston; Amanda B Spurdle; Finlay A Macrae; Aung K Win; John L Hopper; Mark A Jenkins; Ingrid M Winship; Daniel D Buchanan
Journal:  J Mol Diagn       Date:  2020-12-29       Impact factor: 5.568

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.