Literature DB >> 17029639

Evaluation of NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 genes in familial colorectal cancer predisposition.

Peter Broderick1, Tina Bagratuni, Jairam Vijayakrishnan, Steven Lubbe, Ian Chandler, Richard S Houlston.   

Abstract

BACKGROUND: The observation that germline mutations in the oxidative DNA damage repair gene MUTYH cause colorectal cancer (CRC) provides strong evidence that dysregulation of the base excision repair (BER) pathway influences disease susceptibility. It is conceivable that germline sequence variation in other BER pathway genes such as NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 also contribute to CRC susceptibility.
METHODS: To evaluate whether sequence variants of NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 genes might act as CRC susceptibility alleles, we screened the coding sequence and intron-exon boundaries of these genes in 94 familial CRC cases in which involvement of known genes had been excluded.
RESULTS: Three novel missense variants were identified NEIL2 C367A, TDG3 A196G and UNG2 C262T in patients, which were not observed in 188 healthy control DNAs.
CONCLUSION: We detected novel germline alterations in NEIL2, TDG and UNG patients with CRC. The results suggest a limited role for NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 in development of CRC.

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Year:  2006        PMID: 17029639      PMCID: PMC1624846          DOI: 10.1186/1471-2407-6-243

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


Background

A recent twin study indicates that approximately a third of all colorectal cancers (CRC) involve an inherited predisposition [1]. Germline mutations in the known CRC genes (APC, mismatch repair (MMR) genes, MUTYH/MYH, SMAD4, ALK3 and STK11/LKB1) do not, however, account for all of the familial risk of the disease. The observation that mutations in MUTYH predispose to CRC [2,3]has provided strong evidence that dysregulation of the base excision repair (BER) pathway contributes to disease susceptibility. MUTYH functions as a DNA glycosylase responsible for excision of adenines mis-incorporated opposite 8-oxo-7,8-dihydro-2'-deoxyguanosine (8-oxoG), a stable product of oxidative DNA damage [4]. The BER pathway plays a pivotal role in protecting against oxidative DNA damage and is especially relevant in colorectum, which is characterised by high levels of oxygen radicals generated by bacteria and dietary carcinogens [5,6]. In addition to MUTYH a number of other DNA glycosylases participate in BER. These include endonuclease III-like 1 (NTHL1, MIM 602556) which acts on oxidized pyrimidine residues; endonuclease VIII-like 1 (NEIL1, MIM 608844) and endonuclease VIII-like 2, (NEIL2, MIM 608933) which initiate the first step in BER by cleaving reactive oxygen species (ROS) damaged bases; N-methylpurine DNA glycosylase (MPG; MIM 156565) which removes a diverse group of damaged bases, including cytotoxic and mutagenic alkylation adducts of purine; thymine-DNA glycosylase (TDG, MIM 601423) which initiates repair of G/T and G/U mismatches, commonly associated with CpG islands, by removing thymine and uracil moieties; uracil-DNA glycosylase (UNG, MIM 191525) which removes uracil in DNA resulting from deamination of cytosine or replicative incorporation of dUMP, and single-strand-selective monofunctional uracil-DNA glycosylase 1 (SMUG1; MIM 607753) which removes uracil from single- and double-stranded DNA in nuclear chromatin. To evaluate whether germline variants of NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 genes might act as CRC susceptibility alleles, we have screened the coding sequence and intron-exon boundaries of these genes in 94 familial CRC cases.

Methods

Ascertainment of cases and controls

Study subjects were ascertained as part of the National Study of Colorectal Cancer (NSCCG). Details of the NSCCG study design are available online [7,8]. Briefly, the NSCCG was established in March 1999 and is an ongoing study to investigate the role of genetic factors in the aetiology of CRC. To date over 6,000 cases with histologically verified adenocarcinoma of the colon or rectum have been recruited from clinics throughout the United Kingdom. A standardised questionnaire was used to collect phenotypic and family history information from cases and all were asked to provide blood samples for the extraction of DNA. The current study is based on CRC cases that reported family history of CRC in at least one first-degree relative. The 94 cases with the earliest age of CRC were selected. No cases carried biallelic MUTYH mutations or a truncating mutation in APC (associated with familial adenomatous polyposis). Germline mismatch repair gene mutations were excluded by microsatellite instability testing (BAT25, BAT26) in archival tumour specimens. Although not totally comprehensive it provides a relatively robust method of excluding inherited MMR mutations. Controls were cancer free individuals who were spouses or friends of cancer cases selected to match the sex and age of the cases as closely as possible. All study subjects were Caucasian of British ancestry and current UK residents. Genomic DNA was extracted and quantified from the venous blood samples by standard methods. Informed consent was obtained from all participants and the study was undertaken with local ethical board approval in accordance with the tenets of the Helsinki Declaration.

Mutational analysis

The coding regions and intron-exon boundaries of NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 were PCR amplified. Amplifying primers were designed using the genomic sequence for each gene [9] in conjunction with Primer3 software [10]. Primer sequences and PCR conditions for each gene are detailed in Table 3. PCR products were hybridised and heteroduplexes assayed for small intragenic mutations by conformation sensitive gel electrophoresis (CSGE) [11]. Genomic DNA from cases showing mobility shifts was sequenced using the BigDyeTerminator Cycle Sequencingkit and a 3730xl automated sequencer (Applied Biosystems, Foster City, USA). All mutations were confirmed by sequencing at least two independent PCR products.
Table 3

Sequences of primers and PCR conditions used to screen BER genes.

Primer sequence (5' > 3')
GeneFragmentForwardReverseAmplicon (bp)PCR Conditions*
NTHL1 1GTAGTTCTGTGCCGCCCTCTCAGCCTGCAGCCCCTATC27068–60 TD, 1.7M B
2AATGAACGAGTGAGGGGTGAGAGCTGTTGCTGCCAGTCC24468–60 TD, 1.7M B
2BAGAGACTGCGTGTGGCCTATGAGGGTGCCAGCCAAAAG28468–60 TD, 1M B
3CAGGGAATCACCCAGGACAGGTCTCTCTCAGGCCACTG27968–60 TD, 1M B
4GCTGCATCCTCCCAGGTTCACAGGTCACAAGGATGTGG29868–60 TD
5GGCTAGGCTGGTGGAGTGTGGGTCAGTGCTGACAGAGG22568–60 TD
6GGCTTCCTAGGGAGAAGAGCGTGGCTTCCTGAAGCGTAAA26668–60 TD
NEIL1 1ACAGCCGCTACCTCACAAAGTGCTGAAGCTGAGATGCGGTA23268–60 TD
1BCAGCCAGTTTGTGAATGAGGCCGTGTAAAAGCGCAGGT28168–60 TD
1CCCACTGGCCCTGGTCTTCTTGGCCAAGAAGGCACTAAG29568–60 TD, 1M B
2AGGTTCTCTGAGCCCCTCTCGCTAGGCAGTGGGGAATGT26368–60 TD
3GTGCCCACATTCCCCACTCTAAGCTGGGGACACCTGAC20868–60 TD
4CCCAAAGTCTGACCAAGCTCCCCCAGGGTTACACAATCAT24568–60 TD
5GAGCCTGCCCTCTGATCTCTGGGGTCTCTGCCTGTGTG20368–60 TD
6CACTGATCTGGATGGGTGTGATAGGGTGGAGAAGGGTGCT21060–50 TD, 1M B
7AGCACCCTTCTCCACCCTATCCGCCCTCTTAGGGTAAGG23868–60 TD
8CCAACCTCTGAACTGCTTTCTTAGAGCCAGTTTCTGGGAGTG25768–60 TD
9CGTGTACAAAGGTGGGAGAAAAATTCAGACCCCCAGATGC21668–60 TD
NEIL2 1TGCTTGGCACCTGTTAAAGACCCTGAGACATATGGGGATAGA29668–60 TD, 1M B
2AAATATCCGCATTCCCCAGTTGGGCGTCTCTCTCCAAATAC29668–60 TD, 1M B
2BGGGCAGAAGACCCTTGATGTGACTATCAGAGCCCACGAA25468–60 TD, 1M B
3CAGCCACAGGGTGTGCTCTTCTGTGGACTCACCCCTTTC29968–60 TD, 1M B
4AGCCATGTGTCCTTTGTCCTTGCCTCTGTAACCCATCTTCG29068–60 TD, 1M B
4BCGCAGCACACACAGGTCTACCCACATCCTCCTTTCTGGAC23768–60 TD, 1M B
MPG 1GGTCCTAGGGGTGCTTCCTGGCCTATGCTCTGGCTCT25468–60 TD, 1.7M B
2AGCTGTCTCCTATTCGGATGCCCCTTTGGGCTTGAGAAATA24868–60 TD, 1.7M B
2BCACACAGCTCGTCCGATGCAGTGACAGGCACTTCAGGA22968–60 TD, 1M B
3ATGGGCACTGTTAGGGTGAGTACCCTGGCTGGAGATGTTC27368–60 TD, 1M B
3BCTAGTCCGGCGACTTCCTAACCCCACCTCAGTCCTCCTA29168–60 TD, 1M B
4AGCAGAGAGGACAGGAGCCTACCAGCCATACAGCTTCATCC26768–60 TD, 1M B
4BGAGACCATGCGTCAGCTTCACATAGAAGCGGAGGGGTTT26668–60 TD, 1M B
4CGATGAAGCTGTATGGCTGGAGGCTCTGGCTAAGGCACAGTT27068–60 TD, 1M B
TDG 1TCTCTGGGGTTGTCTTACCGAGCCTGCCCAGCAGTGAG18068–60 TD, 1M B
2TGATCATTTGGATTTACATTTGGGGCTGATCCGATGTTGAACT25268–60 TD, 1M B
3ATTTTCTGGGAAAGCTGCTAAAGGGGAGAGTCTTGGTCAGAA27960–50 TD
3BCTGGCAAGTCTGCAAAATCAGGTCCTTTTCAGCAAAATGC25260–50 TD
4GATGAAATGTCTAATTGTTTTGTTTTCACACAGAACATGAAACACGA23360–50 TD
5GGCTGCACTGAGCCATGATGGTTCCAACCCATAAAAGCA27168–50 TD
6TCAAGCTGAGCTCAACAAATGCAAACATATTTACATTGCCCATAA26268–60 TD
7TCAGCCACGAATAGCAGTGTTCACAATGGATAGGACAAATAAGG28868–60 TD
8ACAAGTTATTAACCCAAATAAAGACAAATGAATAAAAGGAATGAGGACAGTAA30060–50 TD, 1M B
8BCATCCAGTGCAAGATGTGCTCACAAAATGAATAAAAGGAATGAGG19068–60 TD, 1M B
9CAAGAAAAAGAATTGTTCATGATTTCCCTGACCAAACCGTCTTTGA26768–60 TD
10GGCGATAGAGTAAGACCCAGTCGGTTCTACTTGTTGACAACTGCAT29868–60 TD
UNG 1AATTGCTGACCGCCACAGCCTTCCTCCCCCTTCACC26268–60 TD, 1M B
2AGGGCTCTTACTGTCCGCTTTCTCTGGATCCGGTCCAACT24068–60 TD, 1M B
2BGACCACTTGCAGGCCATCGGCCGGCTACACTAACAAGA29668–60 TD, 1M B
3TTGAATTCTTATGGTTTCCAATGATGTGGCTTAACTCCAGTGTCC24068–60 TD, 1M B
4CAGGGTCTGTGCTGCTTACAAACAGTGCCCCAGATAGTCC25168–60 TD, 1M B
5ACAAGGGCTGGCTGTAACTTCTAGCAGTCGCTGGCTTACCT21868–60 TD, 1M B
5BGGCTTGCTTTCAGTTTGGAGCAGCTATGGTGGCTCATGC28868–60 TD, 1M B
6TGCCTGAGCCTACATTTAACCGCAGGGACTCCTAGAATTCTTTA29960–50 TD, 1M B
7CCACTGCAGCAAGACTCTGTGGAACTTCGTAACTGGCAAA60–50 TD
SMUG1 1ACTCTGTGGCTGAGGGTTGATTTGTAGATGATGCCCACAGG23368–50 TD, 1M B
1BAGAGCTTCCTGGAGGAGGAGAGCCAAGCATCCACCTAGAA25868–60 TD, 1M B
2ATCTCCAGTTTGAAGCCTTTCATCTCAGCAGGAGTAAGGTTGC30068–60 TD, 1M B
2BCCACAATCTATGCCCTCTGCTCAATCTTTCCTTGGCCACT29668–60 TD, 1M B
2CTCTTGGGATCTGTGATGCAGTTCGAGGTCTTGAATGTGTCC28668–60 TD, 1M B

* TD, Touchdown °C; B, Betaine

Bio-informatics analysis

We applied two in silico algorithms, the PolyPhen algorithm [12,13] and the SIFT algorithm [14,15], to predict the putative impact of missense variants on protein function.

Results

DNAs from the 94 familial CRC without germline mutations in the known CRC predisposition loci were screened for sequence variants in NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1. The average age at diagnosis of CRC in the cases was 54.8 years (SD, 9.3 years; median age 56 years). Of the cases 59 had been diagnosed with colonic disease and 54 were male. In total 22 sequence variants were identified (Table 2). Eleven of the variants were detected in intronic (not involving consensus splice sites) or untranslated regions. One variant, rs5745908 maps to the second base of the donor splice site in intron 1 of NEIL1. Of these twelve variants, ten have been previously reported as polymorphisms (sequence variants with minor allele frequency greater or equal to 1%) in the dbSNP database [16]. On the basis of the likely absence of effect on protein function and the fact that most were seen in multiple cases, we consider it unlikely that these intronic variants represent high-risk CRC cancer susceptibility alleles. Therefore, these were not additionally investigated. Ten exonic variants were identified. None of the variants caused translational frameshifts or nonsense codons and three were synonymous (i.e. maintaining the amino acid sequence of the translated protein; Table 2). Of the three synonymous variants, two were known polymorphisms documented in dbSNP and only one was a novel change. Seven non-synonymous changes were identified and of these four were documented in dbSNP as polymorphisms. To investigate the population frequency of the three novel missense alterations identified in single unrelated cases (NEIL2 C367A, TDG3 A196G and UNG2 C262T) the relevant exons were screened in 188 cancer-free controls. None of these variants were detected in the controls. The three novel missense variants detected in familial CRC cases were predicted to be probably damaging by both the Polyphen and SIFT algorithms. NEIL2 C367A was detected in a 65-year-old male with CRC. The individual's brother, sister and nephew had also been diagnosed with CRC. Variant TDG3 A196G was identified in a 66-year-old male with rectal cancer. The patient's sister died of CRC at age 47. Variant UNG2 C262T was identified in a male with colonic cancer diagnosed at age 53 whose mother and maternal aunt had CRC diagnosed at age 77 and 72 respectively. Unfortunately for reasons of clinical governance we were not in a position to evaluate tumour blocks from relatives to test for segregation of alleles.
Table 2

Sequence changes in BER genes in familial colorectal cancer cases and controls

Gene ExonNucleotide changeAmino acid changeNo. of heterozygote cases (n = 94)No. of heterozygote controls (n = 188)DbSNP database entry
NEIL1IVS1T434+2C1rs5745908
NEIL2IVS1T138+25C>10rs804269
IVS1C138+35T>10rs804268
2G308AR103Q1rs8191613
2C367AP123T10
3A564G>10rs8191642
IVS3C689-13T>10rs8191663
4 G770T R257L1 rs8191664
3' UTRC999+21T>10rs1534862
3'UTR999+34 delC>10rs8191667
MPG5' UTR1–27 insT1rs3176380
2C147G3rs2259275
3C342G1
TDGIVS2A166+12G4rs3829300
IVS2G167-9A>10rs3751209
IVS2G167-19C1
3A196GR66G10
10G1099 AV367M>10rs2888805
UNG2C262TR88C10
2G246C01
IVS4533–25>10rs3219235
IVS6801+20 delTTTT>10
SMUG11G44TG15V1rs2233920

Discussion

We have sought to identify pathogenic germline mutations in seven genes encoding components of the BER system. To empower our analysis we have studied familial cases in which involvement of the known CRC predisposition genes has been excluded. In ascertaining familial cases we have relied on reported information. While inaccuracy in reported family histories is a theoretic limitation, studies have shown that cancers such as CRC are generally reliably reported in first-degree relatives [17]. While MYH associated polyposis is an autosomal recessive disease we purposely did not restrict our analysis to individuals with these phenotypes as there is no evidence a priori that mutations in other BER will operate in a similar fashion, hence it is appropriate to consider all models of inheritance. None of the patients studied harboured clearly pathogenic biallelic sequence variants, nor was there strong evidence that any single variant was disease causing. We cannot exclude the possibility that a minority of mutations have been missed, but under test conditions we have found that CSGE can detect all small insertions or deletions and 70% of single base substitutions. Here the technique detected a number of single base substitution polymorphisms hence there is over a 90% probability that an allele conferring a 2-fold increase in CRC risk with a population frequency = 1% will have been identified through screening the 94 familial cases. Based on the number of patients we have screened for constitutive mutations we can conclude with 95% probability that germline variation in any of these genes will at best not account for more than 3% of all familial CRCs in the British population (upper 95% confidence interval of point estimate). We detected a number of novel germline alterations in NEIL2, TDG, UNG genes in patients with CRC. Three novel missense variants detected in familial CRC cases were predicted to be probably damaging by both the Polyphen and SIFT algorithms. While these algorithms have been demonstrated in benchmarking studies to successfully categorise 80% of amino acid substitutions [18], predictions about the functional consequences of amino acid changes are not definitive and require validation in functional assays. Overall results suggest at best a limited role for these variants in predisposition. The substrates of the BER glycosylases overlap and therefore there is functional redundancy within the oxidative DNA damage repair system. On this basis it is perhaps not surprising that we did not identify disease causing mutations in our study. Such an assertion does not however, take into account the fact that mutation of MUTYH is causative of CRC. Finally, our current analyses do not exclude the possibility that sequence variants in the genes we analysed are associated with low penetrance CRC susceptibility. Evaluation of this hypothesis will require additional studies comparing the frequency of gene sequence variants in large series of CRC cancer cases and healthy controls.

Conclusion

We report here the first NEIL2, TDG, UNG germline alterations in patients with CRC. However, the rarity of such alterations suggests a limited role for sequence variation in defining predisposition. Notwithstanding, germline variants in these genes do exist and may be associated with susceptibility, but further studies including functional analyses are needed for confirmation.

Abbreviations

APC, adenomatosis polyposis coli; BER, base excision repair; CRC, colorectal cancer; CSGE, conformation sensitive gel electrophoresis; MMR, mismatch repair; MPG, N-@methylpurine DNA glycosylase; MUTYH, MutY, E.coli, homolog of; NEIL1, endonuclease VIII-like 1; NEIL2, endonuclease VIII-like 2; NSCCG, National Study of Colorectal Cancer; NTHL1, endonuclease III-like 1; ROS, reactive oxygen species; SMUG1, single-strand-selective monofunctional uracil-dna glycosylase 1; TDG, thymine-DNA glycosylase; UNG, uracil-DNA glycosylase

Competing interests

The author(s) declare that they have no competing interests.

Authors' contributions

PB, TB, JV, SL and IC carried out the genetic studies. PB and RSH were responsible for drafting and revising the manuscript. PB and RSH were involved in design of the study, providing important intellectual content and acquisition of the study material. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:
Table 1

NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 gnes screened for germline mutations.

GeneGenimic sequencecDNA sequenceNo. of exonsNo. of PCR fragements
NTHL1NT_037887NM_002528.467
NEIL1NT_010194NM_024608.1911
NEIL2NT_077531NM_145043.146
MPGNT_037887NM_002434.248
TDGNT_019546NM_003211.31012
UNGNT_009775NM_080911.179
SMUG1NT_029419NM_014311.125
  11 in total

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Journal:  N Engl J Med       Date:  2003-02-27       Impact factor: 91.245

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Authors:  Vasily Ramensky; Peer Bork; Shamil Sunyaev
Journal:  Nucleic Acids Res       Date:  2002-09-01       Impact factor: 16.971

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Authors:  Mark M Huycke; H Rex Gaskins
Journal:  Exp Biol Med (Maywood)       Date:  2004-07

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Review 1.  Base excision repair.

Authors:  Hans E Krokan; Magnar Bjørås
Journal:  Cold Spring Harb Perspect Biol       Date:  2013-04-01       Impact factor: 10.005

Review 2.  Repair of oxidatively induced DNA damage by DNA glycosylases: Mechanisms of action, substrate specificities and excision kinetics.

Authors:  Miral Dizdaroglu; Erdem Coskun; Pawel Jaruga
Journal:  Mutat Res Rev Mutat Res       Date:  2017-02-16       Impact factor: 5.657

3.  NTHL1-associate polyposis: first Australian case report.

Authors:  Alexandra Groves; Margaret Gleeson; Allan D Spigelman
Journal:  Fam Cancer       Date:  2019-04       Impact factor: 2.375

Review 4.  Multifaceted roles for thymine DNA glycosylase in embryonic development and human carcinogenesis.

Authors:  Xuehe Xu; David S Watt; Chunming Liu
Journal:  Acta Biochim Biophys Sin (Shanghai)       Date:  2015-09-14       Impact factor: 3.848

Review 5.  Variation in base excision repair capacity.

Authors:  David M Wilson; Daemyung Kim; Brian R Berquist; Alice J Sigurdson
Journal:  Mutat Res       Date:  2010-12-15       Impact factor: 2.433

6.  Single nucleotide polymorphisms in uracil-processing genes, intake of one-carbon nutrients and breast cancer risk.

Authors:  C Marian; M Tao; J B Mason; D S Goerlitz; J Nie; A Chanson; J L Freudenheim; P G Shields
Journal:  Eur J Clin Nutr       Date:  2011-03-23       Impact factor: 4.016

7.  Increased risk of lung cancer associated with a functionally impaired polymorphic variant of the human DNA glycosylase NEIL2.

Authors:  Sanjib Dey; Amit K Maiti; Muralidhar L Hegde; Pavana M Hegde; Istvan Boldogh; Partha S Sarkar; Sherif Z Abdel-Rahman; Altaf H Sarker; Bo Hang; Jingwu Xie; Alan E Tomkinson; Mian Zhou; Binghui Shen; Guanghai Wang; Chen Wu; Dianke Yu; Dongxin Lin; Victor Cardenas; Tapas K Hazra
Journal:  DNA Repair (Amst)       Date:  2012-04-10

Review 8.  Base excision repair and cancer.

Authors:  Susan S Wallace; Drew L Murphy; Joann B Sweasy
Journal:  Cancer Lett       Date:  2012-01-15       Impact factor: 8.679

9.  Functional variants of the NEIL1 and NEIL2 genes and risk and progression of squamous cell carcinoma of the oral cavity and oropharynx.

Authors:  Xiadong Zhai; Hui Zhao; Zhensheng Liu; Li-E Wang; Adel K El-Naggar; Erich M Sturgis; Qingyi Wei
Journal:  Clin Cancer Res       Date:  2008-07-01       Impact factor: 12.531

10.  A population-based study of DNA repair gene variants in relation to non-melanoma skin cancer as a marker of a cancer-prone phenotype.

Authors:  Ingo Ruczinski; Timothy J Jorgensen; Yin Yao Shugart; Yvette Berthier Schaad; Bailey Kessing; Judith Hoffman-Bolton; Kathy J Helzlsouer; W H Linda Kao; Lee Wheless; Lesley Francis; Rhoda M Alani; Paul T Strickland; Michael W Smith; Anthony J Alberg
Journal:  Carcinogenesis       Date:  2012-05-11       Impact factor: 4.944

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